DataHammer/scimrc huggingface dataset:
Question: Please give me an example of this phenomenon that I can understand as a layman.
Evidence: In signal processing and related disciplines, aliasing is an effect that causes different signals to become indistinguishable (or aliases of one another) when sampled. It also often refers to the distortion or artifact that results when a signal reconstructed from samples is different from the original continuous signal.
Answer: An example of aliasing that easy to understand as a layman is the 'wagon wheel effect'. You've probably seen the wagon wheel effect when watching a movie or tv show and the wheels of a car appear to be spinning backwards even as the car moves forwards. This is an effect of aliasing. This occurs because the sampling rate of the film is not adequate to capture the frequency of the signal (the frequency that the tires are spinning forwards) and the signal becomes indistinguishable from another signal (a frequency of the tires spinning backwards). As an example of how this happens imagine that the camera's sampling rate allows it to record an image frame at about 90% of the frequency that the tires are spinning. That is, the tire is spinning fast enough that it rotates 90% around in between each picture the camera can take. In this case, the wheel will look like its rotated backwards by 10% of a rotation on each image. When you put these images together in a film, the tires will appear to be rotating backwards.
Question: Which dialog datasets did they experiment with?
Evidence: Since dialogue dataset is not typically annotated with the retrieval results, training the KB-retriever is non-trivial. To make the training feasible, we propose two methods: 1) we use a set of heuristics to derive the training data and train the retriever in a distant supervised fashion; 2) we use Gumbel-Softmax BIBREF14 as an approximation of the non-differentiable selecting process and train the retriever along with the Seq2Seq dialogue generation model. Experiments on two publicly available datasets (Camrest BIBREF11 and InCar Assistant BIBREF6) confirm the effectiveness of the KB-retriever. Both the retrievers trained with distant-supervision and Gumbel-Softmax technique outperform the compared systems in the automatic and human evaluations. Analysis empirically verifies our assumption that more than 80% responses in the dataset can be supported by a single KB row and better retrieval results lead to better task-oriented dialogue generation performance.
Experiments on two publicly available datasets (Camrest BIBREF11 and InCar Assistant BIBREF6) confirm the effectiveness of the KB-retriever.
Answer: The answers are shown as follows:
* Camrest
* InCar Assistant
Question: Which journal and conference are cited the most in recent years?
Evidence: FLOAT SELECTED: Figure 25 Average citations for papers published 1965–2016 (left side) and 2010–2016 (right side), grouped by venue and paper type.
FLOAT SELECTED: Figure 25 Average citations for papers published 1965–2016 (left side) and 2010–2016 (right side), grouped by venue and paper type.
Answer: CL Journal and EMNLP conference
Question: Are there datasets with relation tuples annotated, how big are datasets available?
Evidence: We focus on the task of extracting multiple tuples with overlapping entities from sentences. We choose the New York Times (NYT) corpus for our experiments. This corpus has multiple versions, and we choose the following two versions as their test dataset has significantly larger number of instances of multiple relation tuples with overlapping entities. (i) The first version is used by BIBREF6 (BIBREF6) (mentioned as NYT in their paper) and has 24 relations. We name this version as NYT24. (ii) The second version is used by BIBREF11 (BIBREF11) (mentioned as NYT10 in their paper) and has 29 relations. We name this version as NYT29. We select 10% of the original training data and use it as the validation dataset. The remaining 90% is used for training. We include statistics of the training and test datasets in Table TABREF11.
This corpus has multiple versions, and we choose the following two versions as their test dataset has significantly larger number of instances of multiple relation tuples with overlapping entities. (i) The first version is used by BIBREF6 (BIBREF6) (mentioned as NYT in their paper) and has 24 relations. We name this version as NYT24. (ii) The second version is used by BIBREF11 (BIBREF11) (mentioned as NYT10 in their paper) and has 29 relations.
Answer: Yes.
Question: What are the four typical pooling methods for calculating sentence representations from RNN-encoded hidden states for individual words?
Evidence: Abstracting latent representations from a long sequence of words, such as a paragraph, is a challenging task. While several novel neural network models BIBREF25 , BIBREF26 have been introduced in recent years for encoding a paragraph, Recurrent Neural Network (RNN)-based methods remain the most effective approaches. RNNs, especially the long-short term memory (LSTM) BIBREF27 models, have been widely used to encode a paragraph for machine translation BIBREF28 , dialogue systems BIBREF29 and text summarization BIBREF30 because of its ability in modeling long-distance dependencies between words. In addition, among four typical pooling methods (sum, mean, last and max) for calculating sentence representations from RNN-encoded hidden states for individual words, max-pooling along with bidirectional LSTM (Bi-LSTM) BIBREF31 yields the current best universal sentence representation method BIBREF32 . We adopted a similar neural network architecture for paragraph encoding.
In addition, among four typical pooling methods (sum, mean, last and max) for calculating sentence representations from RNN-encoded hidden states for individual words, max-pooling along with bidirectional LSTM (Bi-LSTM) (Schuster and Paliwal, 1997) yields the current best universal sentence representation method (Conneau et al., 2017).
Answer: Sum, mean, last and max.
Question: Identify from this list who are characters from The Hunger Games book series: Katniss Everdeen, Benedict Cumberbatch, Effie Trinket, Benadryl Cucumberpants, Cornelius Snow, Peeta Mellark, Bendydoo Calliopeplayer, Haymitch Abernathy, Seneca Crane, Ballyoop Cockadoodle
Answer: Katniss Everdeen, Effie Trinket, Cornelius Snow, Peeta Mellark, Haymitch Abernathy, Seneca Crane
Question: Locate the classification of Picasso's work over time on the text, extract including the description and the period, and place them in a bullet list
Evidence: Pablo Ruiz Picasso (25 October 1881 – 8 April 1973) was a Spanish painter, sculptor, printmaker, ceramicist and theatre designer who spent most of his adult life in France. One of the most influential artists of the 20th century, he is known for co-founding the Cubist movement, the invention of constructed sculpture, the co-invention of collage, and for the wide variety of styles that he helped develop and explore. Among his most famous works are the proto-Cubist Les Demoiselles d'Avignon (1907), and the anti-war painting Guernica (1937), a dramatic portrayal of the bombing of Guernica by German and Italian air forces during the Spanish Civil War.

Picasso demonstrated extraordinary artistic talent in his early years, painting in a naturalistic manner through his childhood and adolescence. During the first decade of the 20th century, his style changed as he experimented with different theories, techniques, and ideas. After 1906, the Fauvist work of the older artist Henri Matisse motivated Picasso to explore more radical styles, beginning a fruitful rivalry between the two artists, who subsequently were often paired by critics as the leaders of modern art.

Picasso's work is often categorized into periods. While the names of many of his later periods are debated, the most commonly accepted periods in his work are the Blue Period (1901–1904), the Rose Period (1904–1906), the African-influenced Period (1907–1909), Analytic Cubism (1909–1912), and Synthetic Cubism (1912–1919), also referred to as the Crystal period. Much of Picasso's work of the late 1910s and early 1920s is in a neoclassical style, and his work in the mid-1920s often has characteristics of Surrealism. His later work often combines elements of his earlier styles.

Exceptionally prolific throughout the course of his long life, Picasso achieved universal renown and immense fortune for his revolutionary artistic accomplishments, and became one of the best-known figures in 20th-century art.
Answer: Blue Period (1901–1904)
Rose Period (1904–1906)
African-influenced Period (1907–1909)
Analytic Cubism (1909–1912)
Synthetic Cubism or Crystal Period (1912–1919)
Surrealism (mid-1920s)
Question: Which drum kit should I buy?
Answer: To decide which drum kit to buy, ultimately you should consider where you are in your drumming journey, and where you see yourself going in the coming years. If you're just starting out then there are some excellent starter choices from most of the major brands. For example, Tama and Pearl.
If you're an intermediate drummer who is starting to play gigs and record, then buying a mid-range kit with solid hardware and a variety colour options & finishes could be a good match for you. 
If you're a professional drummer who is playing many gigs, doing recording sessions etc then a reliable high end kit with a lot of range and tuning options will be a must have. Here you will consider options such as the DW Collectors series, the Tama Starclassic and Star series, Yamaha Recording Customs, Pearl Masters, Sonos SQ2's and Gretsch USA Customs.
Question: Which of the following grapes are used to make white wine: Chardonnay, Sauvignon Blanc, Riesling, Pinot Gris, Semillon, Gewurztraminer, Viognier, Chenin Blanc, Cabernet Sauvignon, 
Merlot, Syrah, Pinot Noir, Zinfandel, Sangiovese, Grenache, Malbec.
Answer: White wines are typically made from Chardonnay, Sauvignon Blanc, Riesling, Pinot Gris, Semillon, Gewurztraminer, Viognier, and Chenin Blanc. 

The rest of the grapes typically make red wine, Cabernet Sauvignon, 
Merlot, Syrah, Pinot Noir, Zinfandel, Sangiovese, Grenache, and Malbec. 

Some red grapes can be used to make Rose, which is a red wine, that has been fermented for less time and typically served cold like a white wine, but comes from a red grape.
Question: What are the India’s Foreign Exchange Reserves as on week ended Sept 23, 2022?
Answer: $545.65 bn
Question: In the following passage, replace Tallinn with Helsinki and Estonian with Finland.
Evidence: Urmas was born in Tallinn. He graduated from the University of Tartu in 1996 with a BA in political science and continued his graduate studies there, but without obtaining the degree. He was active in journalism during his studies, first at Estonian Radio and later at Postimees, a mainstream daily and one of Estonia's most popular newspapers.
Answer: Urmas was born in Helsinki. He graduated from the University of Tartu in 1996 with a BA in political science and continued his graduate studies there, but without obtaining the degree. He was active in journalism during his studies, first at Finland Radio and later at Postimees, a mainstream daily and one of Finland's most popular newspapers.
Question: Given a reference text about N.V. Virgin Express S.A., tell me its main hub and when it was founded.
Evidence: N.V. Virgin Express S.A. was a Belgian airline created within the Virgin Group. It operated flights mainly to southern Europe from its hub at Brussels Airport. Ticket sales were mainly through the Internet. The airline merged with SN Brussels Airlines to form Brussels Airlines, which started operations on 25 March 2007. Virgin Express' head office was in Building 116 at Brussels Airport in Zaventem, Belgium, near Brussels.

History
Virgin Express was founded on 23 April 1996, when the Virgin Group (with chairman Richard Branson) bought the Belgian leisure airline EBA - EuroBelgian Airlines, founded by Victor Hasson and Georges Gutelman, and rebranded it Virgin Express. It also took over EBA's fleet of Boeing 737s and operated this type of aircraft from thereon. The airline soon concentrated on low-budget scheduled flights out of its Brussels hub, and became a major competitor for Sabena and later SN Brussels Airlines.

In October 2004, the Virgin Group sold its assets to SN Brussels Airlines, and both airlines were integrated into the parent holding company SN Airholding, chaired by Viscount Étienne Davignon.

On 31 March 2006, SN Brussels Airlines and Virgin Express announced their merger into a single company, named Brussels Airlines. The combined airline added long haul destinations and strengthened its position in Africa.
Answer: N.V. Virgin Express S.A. was founded on April 23, 1996 and its main hub was the Brussels Airport.
Question: Given a reference text about the Queen Isabella Memorial Bridge, tell me how long it is and when it opened.
Evidence: Queen Isabella Memorial Bridge was developed as a concrete pier-and-beam bridge with a steel cantilever main beam span. The memorial bridge has a travel distance of 2.5 miles (4.0 km) and sustains the continuation of Texas Park Road 100. The watercourse thoroughfare is located in southern Cameron County, Texas and is the only road connecting South Padre Island to the geography of Texas.

The Causeway opened in 1974 and replaced the previous bridge, which had also been named Queen Isabella Causeway. A central section of the original causeway was removed and renamed the Queen Isabella State Fishing Pier. The Causeway is the second-longest bridge in Texas, stretching 2.37 miles (3.81 km) across the Laguna Madre. It is named after Queen Isabella of Castile
Answer: The Queen Isabella Memorial Bridge opened in 1974 and is 2.5 miles long.
Question: What is the biggest impact of adding a parallel corpus to training?
Evidence: We propose a Bayesian model of unsupervised semantic role induction in multiple languages, and use it to explore the usefulness of parallel corpora for this task. Our joint Bayesian model consists of individual models for each language plus additional latent variables that capture alignments between roles across languages. Because it is a generative Bayesian model, we can do evaluations in a variety of scenarios just by varying the inference procedure, without changing the model, thereby comparing the scenarios directly. We compare using only monolingual data, using a parallel corpus, using a parallel corpus with annotations in the other language, and using small amounts of annotation in the target language. We find that the biggest impact of adding a parallel corpus to training is actually the increase in mono-lingual data, with the alignments to another language resulting in small improvements, even with labeled data for the other language.
We find that the biggest impact of adding a parallel corpus to training is actually the increase in mono-lingual data, with the alignments to another language resulting in small improvements, even with labeled data for the other language.
Answer: The increase in mono-lingual data, with the alignments to another language resulting in small improvements, even with labeled data for the other language.
Question: What is Gobekli Tepe?
Evidence: Göbekli Tepe (Turkish: [ɟœbecˈli teˈpe], "Potbelly Hill"; known as Girê Mirazan or Xirabreşkê in Kurdish) is a Neolithic archaeological site in the Southeastern Anatolia Region of Turkey. Dated to the Pre-Pottery Neolithic, between c. 9500 and 8000 BCE, the site comprises a number of large circular structures supported by massive stone pillars – the world's oldest known megaliths. Many of these pillars are richly decorated with figurative anthropomorphic details, clothing, and reliefs of wild animals, providing archaeologists rare insights into prehistoric religion and the particular iconography of the period. The 15 m (50 ft)-high, 8 ha (20-acre) tell also includes many smaller buildings, quarries, and stone-cut cisterns from the Neolithic, as well as some traces of activity from later periods.
Answer: Gobekli Tepe is a neolithic archaeological site located in the Anatolia region of Turkey. It is the world's oldest known megalith, dating as far back as 12000 years.
Question: What is the difference between Holland and The Netherlands?
Answer: The Kingdom of the Netherlands is a state that consists of the country called the Netherlands as well as overseas territories in the Caribbean (Aruba, Curaçao, and Sint Maarten). 

The country of the Netherlands consists of twelve provinces; including North Holland and South Holland. 

Even though the name Holland is frequently used (sometimes even by the Dutch themselves) to refer to the whole country, it is only a part of it.
Question: Based on the paragraph below, which are the most and least popular National Parks in the US?
Evidence: The United States has 63 national parks, which are congressionally designated protected areas operated by the National Park Service, an agency of the Department of the Interior. National parks are designated for their natural beauty, unique geological features, diverse ecosystems, and recreational opportunities, typically "because of some outstanding scenic feature or natural phenomena." While legislatively all units of the National Park System are considered equal with the same mission, national parks are generally larger and more of a destination, and hunting and extractive activities are prohibited. National monuments, on the other hand, are also frequently protected for their historical or archaeological significance. Eight national parks (including six in Alaska) are paired with a national preserve, areas with different levels of protection that are administered together but considered separate units and whose areas are not included in the figures below. The 424 units of the National Park System can be broadly referred to as national parks, but most have other formal designations.

Thirty states have national parks, as do the territories of American Samoa and the U.S. Virgin Islands. The state with the most national parks is California with nine, followed by Alaska with eight, Utah with five, and Colorado with four. The largest national park is Wrangell–St. Elias in Alaska: at over 8 million acres (32,375 km2), it is larger than each of the nine smallest states. The next three largest parks are also in Alaska. The smallest park is Gateway Arch National Park, Missouri, at 91 acres (0.37 km2). The total area protected by national parks is approximately 52.2 million acres (211,000 km2), for an average of 829 thousand acres (3,350 km2) but a median of only 208 thousand acres (840 km2).

The national parks set a visitation record in 2017, with more than 84 million visitors and set a further record in 2018 with a 0.1% increase. Great Smoky Mountains National Park in North Carolina and Tennessee has been the most-visited park since 1944, and had over 14 million visitors in 2021. In contrast, only about 7,000 people visited the remote Gates of the Arctic National Park and Preserve in Alaska in 2021.
Answer: If we use number of visitors as a proxy for popularity then The Great Smoky Mountains National Park with over 14 million visitors in 2021 would rank as the most popular National Park. The least visited National Park is the Gates of the Arctic National Park and Preserve. Its lower visitation rate may have more to do with its remoteness than the Park's popularity.
Question: What is it like to have children and how many should I have?
Answer: Having children is an amazing experience.  You never know love like the love of a child.  Having children brings families closer together because they are playful, loving, innocent, and silly at times as they learn to navigate this world.  Children make us laugh, smile, love, learn patience and understanding, teach us thoughtful communication, and even how to be children again.  They also do certain things and actions that can bring back deep seeded memories of when we were kids and then we can relive those experiences together.  I cannot answer how many children you should have but definitely give it some thought because it might bring you happiness too.
Question: Give me a list with name suggestions for a white girl kitten that I just adopted.
Answer: 1. Lily
2. Yuki
3. Zoe
4. Elsa
5. Daisy
6. Molly
7. Kiki
Question: When is the first day of summer 2023?
Answer: Wednesday, June 21, 2023
Question: Why is steam important when making bread?
Answer: Steam is important when making bread because it helps keep the outside from setting before the inside finishes rising. In addition, steam transfers more efficiently than dry air allowing for better expansion.
Question: What kind of species is the Blissus insularis
Evidence: Blissus insularis, the southern chinch bug, is a species of true bug in the family Blissidae. It is found in North America and Oceania.
Answer: Blissus insularis, the southern chinch bug, is a species of true bug in the family Blissidae.

It is found in North America and Oceania.
Question: What empirical support do the authors provide for the design principle of NMT architectures?
Evidence: Neural machine translation (NMT) has achieved the state-of-the-art results on a mass of language pairs with varying structural differences, such as English-French BIBREF0, BIBREF1 and Chinese-English BIBREF2. However, so far not much is known about how and why NMT works, which pose great challenges for debugging NMT models and designing optimal architectures.
The understanding of NMT models has been approached primarily from two complementary perspectives. The first thread of work aims to understand the importance of representations by analyzing the linguistic information embedded in representation vectors BIBREF3, BIBREF4 or hidden units BIBREF5, BIBREF6. Another direction focuses on understanding the importance of input words by interpreting the input-output behavior of NMT models. Previous work BIBREF7 treats NMT models as black-boxes and provides explanations that closely resemble the attention scores in NMT models. However, recent studies reveal that attention does not provide meaningful explanations since the relationship between attention scores and model output is unclear BIBREF8.
In this paper, we focus on the second thread and try to open the black-box by exploiting the gradients in NMT generation, which aims to estimate the word importance better. Specifically, we employ the integrated gradients method BIBREF9 to attribute the output to the input words with the integration of first-order derivatives. We justify the gradient-based approach via quantitative comparison with black-box methods on a couple of perturbation operations, several language pairs, and two representative model architectures, demonstrating its superiority on estimating word importance.
We analyze the linguistic behaviors of words with the importance and show its potential to improve NMT models. First, we leverage the word importance to identify input words that are under-translated by NMT models. Experimental results show that the gradient-based approach outperforms both the best black-box method and other comparative methods. Second, we analyze the linguistic roles of identified important words, and find that words of certain syntactic categories have higher importance while the categories vary across language. For example, nouns are more important for Chinese$\Rightarrow $English translation, while prepositions are more important for English-French and -Japanese translation. This finding can inspire better design principles of NMT architectures for different language pairs. For instance, a better architecture for a given language pair should consider its own language characteristics.
We provide empirical support for the design principle of NMT architectures: essential inductive bias (e.g., language characteristics) should be considered for model design.
Answer: Essential inductive bias (e.g., language characteristics) should be considered for model design.