DataHammer/scimrc huggingface dataset:
Question: What was the impact of Citizens United vs FEC on the impact of corporations funding politicians in the United States?
Answer: Citizens United vs Federal Election Commitee (FEC) was critical in enabling corporate funding from poorly disclosed sources under the 1st amendment. The Supreme Court blocked the motion from the FEC to restrict Citizens United on releasing a 90 minute documentary that was funded by corporate interests with a perspective and directive of voting against Hilary Clinton. The proximity to the election coming up made the FEC weary of large monied interests having a stake in public discourse and electioneering.

Citizens United ultimately won this case, and it has opened the floodgates for Billionaires to fund certain Super PACs (Political Action Committees) and has made it very hard to get large corporations out of Washington DC and Congress, which ultimately has undermined the will of the American public across the political spectrum.
Question: Which among the following names belong to League of Legends characters/champions?
Rengar, Akhil, Talon, Emily, Lux, Kaisa
Answer: The following names are related to League of Legends champions as of the current date:
- Rengar: Belongs to the "Assassin" and the "Diver" classes and can be purchased for 4800 BE
- Talon: Belongs to the "Assassin" class and can be purchased for 3150 BE.
- Lux: Belongs to the "Burst" and "Artillery" classes and can be purchased for 450 BE.
- Kai'Sa: Belongs to the "Marksman" class and can be purchased for 1350 BE.

The remaining names ("Akhil" and "Emily") are not related to League of Legends champions but they may be coincidentally added in the future.
Question: Which is a species of fish? Lemon shark or Lemon
Answer: Lemon shark
Question: Identify which animal species is alive or extinct: Allosaurus, Amur Leopard
Answer: Allosaurus is extinct, Amur Leopard is alive.
Question: What are the three augmentations they introduce into the provided baseline system?
Evidence: This paper describes our approach and results for Task 2 of the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection BIBREF0 . The task is to generate an inflected word form given its lemma and the context in which it occurs.
Morphological (re)inflection from context is of particular relevance to the field of computational linguistics: it is compelling to estimate how well a machine-learned system can capture the morphosyntactic properties of a word given its context, and map those properties to the correct surface form for a given lemma.
There are two tracks of Task 2 of CoNLL–SIGMORPHON 2018: in Track 1 the context is given in terms of word forms, lemmas and morphosyntactic descriptions (MSD); in Track 2 only word forms are available. See Table TABREF1 for an example. Task 2 is additionally split in three settings based on data size: high, medium and low, with high-resource datasets consisting of up to 70K instances per language, and low-resource datasets consisting of only about 1K instances.
The baseline provided by the shared task organisers is a seq2seq model with attention (similar to the winning system for reinflection in CoNLL–SIGMORPHON 2016, BIBREF1 ), which receives information about context through an embedding of the two words immediately adjacent to the target form. We use this baseline implementation as a starting point and achieve the best overall accuracy of 49.87 on Task 2 by introducing three augmentations to the provided baseline system: (1) We use an LSTM to encode the entire available context; (2) We employ a multi-task learning approach with the auxiliary objective of MSD prediction; and (3) We train the auxiliary component in a multilingual fashion, over sets of two to three languages.
In analysing the performance of our system, we found that encoding the full context improves performance considerably for all languages: 11.15 percentage points on average, although it also highly increases the variance in results. Multi-task learning, paired with multilingual training and subsequent monolingual finetuning, scored highest for five out of seven languages, improving accuracy by another 9.86% on average.
We use this baseline implementation as a starting point and achieve the best overall accuracy of 49.87 on Task 2 by introducing three augmentations to the provided baseline system: (1) We use an LSTM to encode the entire available context; (2) We employ a multitask learning approach with the auxiliary objective of MSD prediction; and (3) We train the auxiliary component in a multilingual fashion, over sets of two to three languages.
Answer: (1) the authors use an LSTM to encode the entire available context; (2) the authors employ a multi-task learning approach with the auxiliary objective of MSD prediction; and (3) the authors train the auxiliary component in a multilingual fashion, over sets of two to three languages.
Question: What is the smallest state in the United States?
Answer: Rhode Island is the smallest state with 1,545 square miles. By comparison, the largest state is Alaska at 665,400 square miles. You could fit 430 Rhode Islands into one Alaska.
Question: FATF was established in which year?
Answer: FATF was established in the year 1989
Question: How can I thicken my soup recipe?
Answer: If you want to make your soup thicker, try adding a small amount of cornstarch. This can help the soup to be less thin and runny. If it is a creamy soup, instead of using skim or 1% milk, try using whole milk or even heavy cream. Both of these will add more body to the soup you are making. Not a fan of dairy? Try out coconut cream, but know this could change the flavor profile slightly.
Question: From the passage provided, extract the city where Elizabeth Taylor's parents were from
Evidence: Elizabeth Rosemond Taylor was born on February 27, 1932, at Heathwood, her family's home at 8 Wildwood Road in the London Borough of Barnet, northwest London, England.: 3–10  She received dual British-American citizenship at birth as her parents, art dealer Francis Lenn Taylor (1897–1968) and retired stage actress Sara Sothern (née Sara Viola Warmbrodt, 1895–1994), were United States citizens, both originally from Arkansas City, Kansas.: 3–10 

They moved to London in 1929 and opened an art gallery on Bond Street; their first child, a son named Howard, was born the same year. The family lived in London during Taylor's childhood.: 11–19  Their social circle included artists such as Augustus John and Laura Knight and politicians such as Colonel Victor Cazalet.: 11–19  Cazalet was Taylor's unofficial godfather and an important influence in her early life.: 11–19  She was enrolled in Byron House School, a Montessori school in Highgate, and was raised according to the teachings of Christian Science, the religion of her mother and Cazalet.: 3, 11–19, 20–23 

In early 1939, the Taylors decided to return to the United States due to fear of impending war in Europe.: 22–26  United States ambassador Joseph P. Kennedy contacted her father, urging him to return to the US with his family. Sara and the children left first in April 1939 aboard the ocean liner SS Manhattan and moved in with Taylor's maternal grandfather in Pasadena, California.: 22–28  Francis stayed behind to close the London gallery and joined them in December.: 22–28  In early 1940, he opened a new gallery in Los Angeles. After briefly living in Pacific Palisades, Los Angeles with the Chapman family, the Taylor family settled in Beverly Hills California, where the two children were enrolled in Hawthorne School.: 27–34
Answer: Elizabeth Taylor's parents were from Arkansas City, Kansas
Question: what are the evaluation metrics?
Evidence: FLOAT SELECTED: Table 5: CoNLL 2003 English results.
FLOAT SELECTED: Table 5: CoNLL 2003 English results.
Answer: Precision, Recall, F1
Question: How many planets are there?
Answer: There are 8 recognized planets in the solar system (Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, and Neptune). Outside of our solar system, we estimate there to be billions of planets in the universe.
Question: What does this mean: "Steady-state theory"?
Answer: In cosmology, the steady-state model, or steady state theory, is an alternative to the Big Bang theory of the evolution of the universe. In the steady-state model, the density of matter in an expanding universe stays the same because matter is always being made. This fits with the perfect cosmological principle, which says that the universe we can see is pretty much the same everywhere and at any time. 

Problems with the steady-state model began to emerge in the 1950s and 60s, when observations began to support the idea that the universe was in fact changing: bright radio sources (quasars and radio galaxies) were found only at large distances (therefore could have existed only in the distant past due to the effects of the speed of light on astronomy), not in closer galaxies. 

The discovery of the cosmic microwave background radiation in 1964, which the Big Bang theory had predicted, provided the majority of cosmologists with a conclusive challenge to the steady-state model.
Question: What are the benefits of in-person learning versus online?
Answer: In-person learning allows for a more engaged and personalized learning experience. Whereas, online learning allows reaching a broader audience of learners who cannot attend in person for geographical reasons. 

In-person learning provides a positive employee experience which allows learners opportunities to interact with colleagues or meet new colleagues. It is not non-common for employees to meet team members for the first time in years during in-person learning. 

The company culture usually makes its strongest display during these events and fosters a feeling of belonging within the company. Events like this build or strengthen much-needed skills for employees and fosters a culture of innovation that is required to remain competitive. Therefore, in-person learning is a win-win for both employees and the company.
Question: How large is the dataset for testing？
Evidence:  This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http://creativecommons.org/licenses/by/4.0/
Recent years have seen a surge of interest in automatic keyphrase extraction, thanks to the availability of the SemEval-2010 benchmark dataset BIBREF0 . This dataset is composed of documents (scientific articles) that were automatically converted from PDF format to plain text. As a result, most documents contain irrelevant pieces of text (e.g. muddled sentences, tables, equations, footnotes) that require special handling, so as to not hinder the performance of keyphrase extraction systems. In previous work, these are usually removed at the preprocessing step, but using a variety of techniques ranging from simple heuristics BIBREF1 , BIBREF2 , BIBREF3 to sophisticated document logical structure detection on richly-formatted documents recovered from Google Scholar BIBREF4 . Under such conditions, it may prove difficult to draw firm conclusions about which keyphrase extraction model performs best, as the impact of preprocessing on overall performance cannot be properly quantified.
While previous work clearly states that efficient document preprocessing is a prerequisite for the extraction of high quality keyphrases, there is, to our best knowledge, no empirical evidence of how preprocessing affects keyphrase extraction performance. In this paper, we re-assess the performance of several state-of-the-art keyphrase extraction models at increasingly sophisticated levels of preprocessing. Three incremental levels of document preprocessing are experimented with: raw text, text cleaning through document logical structure detection, and removal of keyphrase sparse sections of the document. In doing so, we present the first consistent comparison of different keyphrase extraction models and study their robustness over noisy text. More precisely, our contributions are:
The SemEval-2010 benchmark dataset (Kim et al., 2010) is composed of 244 scientific articles collected from the ACM Digital Library (conference and workshop papers). The input papers ranged from 6 to 8 pages and were converted from PDF format to plain text using an off-the-shelf tool3. The only preprocessing applied is a systematic dehyphenation at line breaks4 and removal of author-assigned keyphrases. Scientific articles were selected from four different research areas as defined in the ACM classification, and were equally distributed into training (144 articles) and test (100 articles) sets.
Answer: 100 articles ranged from 6 to 8 pages.
Question: Classify each of the following as either a state in the United States or a country: Georgia, California, Alaska, Canada, Peru, Texas, Florida, Pennsylvania, New Mexico, Mexico, Ireland, Russia, Oregon
Answer: State: California, Alaska, Texas, Florida, Pennsylvania, New Mexico, Oregon
Country: Canada, Peru, Mexico, Ireland, Russia
Both: Georgia
Question: Why should we not allow dye in our food products?
Answer: So much research shows we should not allow food dye in our products. The research goes so far as even being linked to cancer. What more do we need to remove these harmful substances from our food? This can also cause issues like ADHD in children. We know these are not good for us and they are completely unnecessary. Additionally, we also have real food sources that produce these exact colors such as beets and turmeric.
Question: Given a reference text about Mussa Azzan Zungu, tell me his current position.
Evidence: Mussa Azzan Zungu (born 25 May 1952) is a Tanzanian CCM politician and Deputy Speaker of Tanzania National Assembly. He's also current Member of Parliament for Ilala constituency since 2005.

He has continued to retain the parliamentary seat in 2010 & 2015. He was appointed as the Minister of State in the Vice President's office on January 24, 2020 and server for 6 months before the parliament was dissolved on June 16, 2020. He is now the Deputy Speaker following the resignation of the former Speaker Job Ndugai, and the, by then, Deputy Speaker Dr. Tulia Ackson elected to become current Speaker of the Parliament.
Answer: Mussa Azzan Zungu's current position is Deputy Speaker of Tanzania National Assembly.
Question: Classify the animals based on their food habits.
Lion, Tiger, Cow, Goat, Deer
Answer: Herbivores  - Cow, Goat, Deer
Carnivores. - Lion, Tiger
Question: What was the first road trip after Elson joined Indiana University?
Evidence: Elson joined the Hilltoppers staff as a defensive backs coach in 1996. He served as defensive coordinator for the 2001 and 2002 season before he was promoted to head coach. The rise to college football's highest level was difficult for the program, and Hilltoppers went 2-20 in Elson's final two seasons.

On November 9, 2009 Elson was fired by the university, finishing out the 2009 season. WKU alumnus and Stanford running backs coach Willie Taggart replaced him.

In March 2010, Indiana University head football coach Bill Lynch announced that Elson will be a defensive quality control coach. Coach Lynch noted this would mainly be an administrative role, but that he would be involved in coaching decisions. The Hoosiers made their first road trip of the year to play Elson's former team, the WKU Hilltoppers in Bowling Green, Kentucky.

Elson spent the 2011 football season as defensive coordinator for KHSAA state finalist Franklin-Simpson High School in Franklin, Kentucky.

On January 4, 2012, Elson was announced as the defensive coordinator at New Mexico State University.

On January 13, 2013, Elson was announced as the new secondary coach for the Southern Illinois University Carbondale, where he was a graduate assistant from 94 to 95. On January 20, 2016, after two years at Southern Illinois, Elson accepted the position as defensive coordinator at Western Illinois under new head coach Charlie Fisher.
Answer: The roadtrip was to play the WKU Hilltoppers in Bowling Green, Kentucky
Question: How to travel from Hamburg to Munich?
Answer: There are several options to travel from Hamburg to Munich in Germany. Flying is the quickest way to travel between the two cities, there are direct connections with a flight time of around 1 hour 15 minutes. However it can also be the most expensive option and has a high carbon emission. Going by train takes about 6 hours, has less carbon emission and can be a cheaper option. You can also drive by car, the distance is about 800 kilometres and takes around 8 hours.
Question: What makes Destiny 2 a popular game?
Answer: Destiny 2 is a very popular first person shooter video game that was developed by Bungie, and is currently free to play on all major video game consoles and personal computers. Since release, Destiny 2 has released numerous additional content through expansion packs and seasonal content that expands the storyline and background lore of the universe in which the game takes place as well as new locations to explore and activities to engage in.

In Destiny 2, players assume the role of Guardians, who are gifted with the power of "Light" that allows them to protect the remnants of humanity that survived a catastrophic event of an event called "The collapse." This science fiction background and futuristic aesthetic combine to provide both a story-rich and feature-rich gameplay experience.

Destiny 2 is classed as a "looter shooter" first person shooter, which is a sub-genre of video games that feature procedurally generated equipment and weapons which encourages players to replay game content to achieve the best possible combinations of benefits from the items they receive. Furthermore, Destiny 2 is also commonly referred to as a  role playing game, elements of which allow users to customize their characters abilities and appearance and specialize in certain roles within the game. As new content is released into the game, this encourages players to experiment with new abilities, weapons, and equipment to achieve optimal performance and creates a satisfying gameplay loop or experience.

The game features two main modes of play. The first, which is classified as "Player Versus Environment", or PvE, pits the players against AI-controlled enemies in either solo content, group content (called fireteams) of 3 players, or raids of up to 6 players. Players team up in fireteams and raids to tackle more challenging content and in turn are rewarded with more unique or rare pieces of equipment. Additionally, there are "Player vs Player", or PvP modes in the game that allows players to compete against each other in competitive modes against each other. Both modes feature exclusive gameplay modes, locations, and objectives.

Finally, Destiny 2 features a rich cast of diverse actors and actresses that lend their voice talent to the game for their characters, such as Nathan Fillon, Lance Reddick, Nolan North, Lennie James, and many other noteworthy artists. 

Destiny 2 has also been nominated for and/or won several awards since release, including the Game Critics Award for Best PC Game (2007) and Best Ongoing Game (2019).
Question: What other cross-lingual approaches is the model compared to?
Evidence: Data-driven models for morphological analysis are constructed using training data INLINEFORM0 consisting of INLINEFORM1 training examples. The baseline model BIBREF5 we compare with regards the output space of the model as a subset INLINEFORM2 where INLINEFORM3 is the set of all tag sets seen in this training data. Specifically, they solve the task as a multi-class classification problem where the classes are individual tag sets. In low-resource scenarios, this indicates that INLINEFORM4 and even for those tag sets existing in INLINEFORM5 we may have seen very few training examples. The conditional probability of a sequence of tag sets given the sentence is formulated as a 0th order CRF. DISPLAYFORM0
Data-driven models for morphological analysis are constructed using training data INLINEFORM0 consisting of INLINEFORM1 training examples. The baseline model BIBREF5 we compare with regards the output space of the model as a subset INLINEFORM2 where INLINEFORM3 is the set of all tag sets seen in this training data. Specifically, they solve the task as a multi-class classification problem where the classes are individual tag sets. In low-resource scenarios, this indicates that INLINEFORM4 and even for those tag sets existing in INLINEFORM5 we may have seen very few training examples. The conditional probability of a sequence of tag sets given the sentence is formulated as a 0th order CRF. DISPLAYFORM0
Answer: The answers are shown as follows:
* The baseline model BIBREF5 we compare with regards the output space of the model as a subset INLINEFORM2 where INLINEFORM3 is the set of all tag sets seen in this training data.
Question: Which is the best work from Goethe?
Evidence: The most important of Goethe's works produced before he went to Weimar were Götz von Berlichingen (1773), a tragedy that was the first work to bring him recognition, and the novel The Sorrows of Young Werther (German: Die Leiden des jungen Werthers) (1774), which gained him enormous fame as a writer in the Sturm und Drang period which marked the early phase of Romanticism. Indeed, Werther is often considered to be the "spark" which ignited the movement, and can arguably be called the world's first "best-seller". During the years at Weimar before he met Schiller in 1794, he began Wilhelm Meister's Apprenticeship and wrote the dramas Iphigenie auf Tauris (Iphigenia in Tauris), Egmont, and Torquato Tasso and the fable Reineke Fuchs.To the period of his friendship with Schiller belong the conception of Wilhelm Meister's Journeyman Years (the continuation of Wilhelm Meister's Apprenticeship), the idyll of Hermann and Dorothea, the Roman Elegies and the verse drama The Natural Daughter. In the last period, between Schiller's death, in 1805, and his own, appeared Faust Part One (1808), Elective Affinities (1809), the West-Eastern Diwan (an 1819 collection of poems in the Persian style, influenced by the work of Hafez), his autobiographical Aus meinem Leben: Dichtung und Wahrheit (From My Life: Poetry and Truth, published between 1811 and 1833) which covers his early life and ends with his departure for Weimar, his Italian Journey (1816–17), and a series of treatises on art. Faust, Part Two was completed before his 1832 death and published posthumously later that year. His writings were immediately influential in literary and artistic circles.
Answer: Assuming that literature is not an exact science and that works cannot be divided into objectively assessable works, such as good, bad or excellent, and that Goethe created a large number of pieces, I will answer the question as follows:
The most important works for Goethe are Goetz von Berlichingen and The Sorrows of Young Werther, since these works gave him initial fame in the Sturm und Drang period.