DataHammer/scimrc huggingface dataset:
Question: what amounts of size were used on german-english?
Evidence: Table TABREF18 shows the effect of adding different methods to the baseline NMT system, on the ultra-low data condition (100k words of training data) and the full IWSLT 14 training corpus (3.2M words). Our "mainstream improvements" add around 6–7 BLEU in both data conditions.
In the ultra-low data condition, reducing the BPE vocabulary size is very effective (+4.9 BLEU). Reducing the batch size to 1000 token results in a BLEU gain of 0.3, and the lexical model yields an additional +0.6 BLEU. However, aggressive (word) dropout (+3.4 BLEU) and tuning other hyperparameters (+0.7 BLEU) has a stronger effect than the lexical model, and adding the lexical model (9) on top of the optimized configuration (8) does not improve performance. Together, the adaptations to the ultra-low data setting yield 9.4 BLEU (7.2 INLINEFORM2 16.6). The model trained on full IWSLT data is less sensitive to our changes (31.9 INLINEFORM3 32.8 BLEU), and optimal hyperparameters differ depending on the data condition. Subsequently, we still apply the hyperparameters that were optimized to the ultra-low data condition (8) to other data conditions, and Korean INLINEFORM4 English, for simplicity.
FLOAT SELECTED: Table 2: German→English IWSLT results for training corpus size of 100k words and 3.2M words (full corpus). Mean and standard deviation of three training runs reported.
Table TABREF18 shows the effect of adding different methods to the baseline NMT system, on the ultra-low data condition (100k words of training data) and the full IWSLT 14 training corpus (3.2M words). Our "mainstream improvements" add around 6–7 BLEU in both data conditions.

In the ultra-low data condition, reducing the BPE vocabulary size is very effecti
FLOAT SELECTED: Table 2: German→English IWSLT results for training corpus size of 100k words and 3.2M words (full corpus). Mean and standard deviation of three training runs reported.
Answer: The answers are shown as follows:
* ultra-low data condition (100k words of training data) and the full IWSLT 14 training corpus (3.2M words)
Question: What is your biggest pet peeve when using email filters to organize your Inbox?
Answer: Most email productivity applications allow the creation of "folders" (ex. Microsoft Outlook) and others allow the creation of "labels" (ex. Gmail). But in both cases, the application allows you to organize emails by using filters or rules to automatically store them in a particular folder or apply a specific label for easy retrieval at a later time. The key distinction, however, is that an email can belong to only one folder at a time i.e., a 1-1 relationship, whereas a variety of labels can be applied on a single email i.e., a 1-many relationship. I love using email filter rules just as much as anyone that's interested in taming their email Inbox. But I sometimes find myself not reading an important email either until it's very late or end up missing it entirely because the email skips the Inbox (where I spend most of my time) when a rule is triggered. And that drives me nuts. I hear you saying, "then why don't you edit the rule so that the email does not skip the inbox when it is triggered?". And to that I would respond, "then wouldn't that defeat the purpose and original intent of the rule? What's the point of creating a rule if all your emails end up in the Inbox view?". That, in essence, is my biggest pet peeve when using email filters to organize my Inbox.
Question: How do I turn on my Tesla Y?
Answer: When you open a door to enter Model Y, the touchscreen powers on and you can operate all controls. To drive Model Y: Press the brake pedal - Model Y powers on and is ready to drive.
Question: How are the bounds of attention transformation determined?
Evidence: Neural machine translation (NMT) emerged in the last few years as a very successful paradigm BIBREF0 , BIBREF1 , BIBREF2 , BIBREF3 . While NMT is generally more fluent than previous statistical systems, adequacy is still a major concern BIBREF4 : common mistakes include dropping source words and repeating words in the generated translation.
Previous work has attempted to mitigate this problem in various ways. BIBREF5 incorporate coverage and length penalties during beam search—a simple yet limited solution, since it only affects the scores of translation hypotheses that are already in the beam. Other approaches involve architectural changes: providing coverage vectors to track the attention history BIBREF6 , BIBREF7 , using gating architectures and adaptive attention to control the amount of source context provided BIBREF8 , BIBREF9 , or adding a reconstruction loss BIBREF10 . BIBREF11 also use the notion of fertility implicitly in their proposed model. Their “fertility conditioned decoder” uses a coverage vector and an “extract gate” which are incorporated in the decoding recurrent unit, increasing the number of parameters.
In this paper, we propose a different solution that does not change the overall architecture, but only the attention transformation. Namely, we replace the traditional softmax by other recently proposed transformations that either promote attention sparsity BIBREF12 or upper bound the amount of attention a word can receive BIBREF13 . The bounds are determined by the fertility values of the source words. While these transformations have given encouraging results in various NLP problems, they have never been applied to NMT, to the best of our knowledge. Furthermore, we combine these two ideas and propose a novel attention transformation, constrained sparsemax, which produces both sparse and bounded attention weights, yielding a compact and interpretable set of alignments. While being in-between soft and hard alignments (Figure FIGREF20 ), the constrained sparsemax transformation is end-to-end differentiable, hence amenable for training with gradient backpropagation.
To sum up, our contributions are as follows:
The bounds are determined by the fertility values of the source words.
Answer: The bounds are determined by the fertility values of the source words.
Question: What are the majors in men's professional golf?
Answer: The four major tournaments are The Masters, The PGA Championship, The Open Championship and the U.S. Open.
Question: How many episodes is Lost the TV series?
Evidence: Lost is an American science fiction drama television series created by Jeffrey Lieber, J. J. Abrams, and Damon Lindelof that aired on ABC from September 22, 2004, to May 23, 2010, over six seasons, comprising a total of 121 episodes. The show contains elements of supernatural fiction, and follows the survivors of a commercial jet airliner flying between Sydney and Los Angeles, after the plane crashes on a mysterious island somewhere in the South Pacific Ocean. Episodes typically feature a primary storyline set on the island, augmented by flashback or flashforward sequences which provide additional insight into the involved characters.
Answer: Lost has 6 seasons with 121 episodes.
Question: What were the baselines?
Evidence: The base sentence embedding model is a BiLSTM over all words in the respective sequences with randomly initialised word embeddings, following BIBREF30 . We opt for this strong baseline sentence encoding model, as opposed to engineering sentence embeddings that work particularly well for this dataset, to showcase the dataset. We would expect pre-trained contextual encoding models, e.g. ELMO BIBREF33 , ULMFit BIBREF34 , BERT BIBREF35 , to offer complementary performance gains, as has been shown for a few recent papers BIBREF36 , BIBREF37 .
The base sentence embedding model is a BiLSTM over all words in the respective sequences with randomly initialised word embeddings, following BIBREF30 . We opt for this strong baseline sentence encoding model, as opposed to engineering sentence embeddings that work particularly well for this dataset, to showcase the dataset. We would expect pre-trained contextual encoding models, e.g. ELMO BIBREF33 , ULMFit BIBREF34 , BERT BIBREF35 , to offer complementary performance gains, as has been shown for a few recent papers BIBREF36 , BIBREF37 .
Answer: The answers are shown as follows:
* a BiLSTM over all words in the respective sequences with randomly initialised word embeddings, following BIBREF30
Question: When was the theory of comparative advantage developed?
Evidence: In an economic model, agents have a comparative advantage over others in producing a particular good if they can produce that good at a lower relative opportunity cost or autarky price, i.e. at a lower relative marginal cost prior to trade. Comparative advantage describes the economic reality of the work gains from trade for individuals, firms, or nations, which arise from differences in their factor endowments or technological progress. (The absolute advantage, comparing output per time (labor efficiency) or per quantity of input material (monetary efficiency), is generally considered more intuitive, but less accurate — as long as the opportunity costs of producing goods across countries vary, productive trade is possible.)

David Ricardo developed the classical theory of comparative advantage in 1817 to explain why countries engage in international trade even when one country's workers are more efficient at producing every single good than workers in other countries. He demonstrated that if two countries capable of producing two commodities engage in the free market (albeit with the assumption that the capital and labour do not move internationally), then each country will increase its overall consumption by exporting the good for which it has a comparative advantage while importing the other good, provided that there exist differences in labor productivity between both countries. Widely regarded as one of the most powerful yet counter-intuitive insights in economics, Ricardo's theory implies that comparative advantage rather than absolute advantage is responsible for much of international trade.
Answer: The classical theory of comparative advantage was developed in 1817 by David Ricardo.
Question: Who invented Calculus?
Answer: Sir Isaac Newton and Gottfried Wilhelm Leibniz invented the foundations of Calculus at around the same time.
Question: What singer was born Georgios Kyriacos Panayiotou?
Answer: George Michael.
Question: What is a good soccer club in Lake Washington area in the USA?
Answer: Crossfire is a good soccer club with Rec, Select and Premier levels
Question: From the passage provided, extract the gravitational constant on Earth. Include the units of measurements.
Evidence: In SI units this acceleration is expressed in metres per second squared (in symbols, m/s2 or m·s−2) or equivalently in newtons per kilogram (N/kg or N·kg−1). Near Earth's surface, the gravity acceleration is approximately 9.81 m/s2 (32.2 ft/s2), which means that, ignoring the effects of air resistance, the speed of an object falling freely will increase by about 9.81 metres (32.2 ft) per second every second. This quantity is sometimes referred to informally as little g (in contrast, the gravitational constant G is referred to as big G).

The precise strength of Earth's gravity varies depending on the location. The nominal "average" value at Earth's surface, known as standard gravity is, by definition, 9.80665 m/s2 (32.1740 ft/s2). This quantity is denoted variously as gn, ge (though this sometimes means the normal equatorial value on Earth, 9.78033 m/s2 (32.0877 ft/s2)), g0, gee, or simply g (which is also used for the variable local value).

The weight of an object on Earth's surface is the downwards force on that object, given by Newton's second law of motion, or F = m a (force = mass × acceleration). Gravitational acceleration contributes to the total gravity acceleration, but other factors, such as the rotation of Earth, also contribute, and, therefore, affect the weight of the object. Gravity does not normally include the gravitational pull of the Moon and Sun, which are accounted for in terms of tidal effects.
Answer: 9.80665 m/s2 or 32.1740 ft/s2
Question: how did they ask if a tweet was racist?
Evidence: The classification of racist insults presents us with the problem of giving an adequate definition of racism. More so than in other domains, judging whether an utterance is an act of racism is highly personal and does not easily fit a simple definition. The Belgian anti-racist law forbids discrimination, violence and crime based on physical qualities (like skin color), nationality or ethnicity, but does not mention textual insults based on these qualities. Hence, this definition is not adequate for our purposes, since it does not include the racist utterances one would find on social media; few utterances that people might perceive as racist are actually punishable by law, as only utterances which explicitly encourage the use of violence are illegal. For this reason, we use a common sense definition of racist language, including all negative utterances, negative generalizations and insults concerning ethnicity, nationality, religion and culture. In this, we follow paolo2015racist, bonilla2002linguistics and razavi2010offensive, who show that racism is no longer strictly limited to physical or ethnic qualities, but can also include social and cultural aspects.
we use a common sense definition of racist language, including all negative utterances, negative generalizations and insults concerning ethnicity, nationality, religion and culture.
Answer: if it includes  negative utterances, negative generalizations and insults concerning ethnicity, nationality, religion and culture.
Question: What is The Sixth Extinction (The X-Files)?
Evidence: "The Sixth Extinction" is the first episode of the seventh season of the science fiction television series The X-Files. It was first shown on the Fox network on November 7, 1999, in the United States. The episode was written by Chris Carter and directed by Kim Manners. "The Sixth Extinction" earned a Nielsen household rating of 10.6, being watched by 17.82 million people in its initial broadcast. The episode received mixed to positive reviews from critics.

The show centers on FBI special agents Fox Mulder (David Duchovny) and Dana Scully (Gillian Anderson) who work on cases linked to the paranormal, called X-Files. Mulder is a believer in the paranormal, while the skeptical Scully has been assigned to debunk his work. In the episode, Assistant Director Walter Skinner (Mitch Pileggi) and Michael Kritschgau (John Finn) work desperately in an attempt to discover what is wrong with Mulder, whose abnormal brain activity has rendered him imprisoned in his own head, but they are unaware of Agent Diana Fowley’s (Mimi Rogers) duplicity. In the meanwhile, Scully is hunting for an ancient artifact in Africa.

"The Sixth Extinction" helped to explore new aspects of the series' overarching mythology and was the second episode in a trilogy of episodes featuring Mulder's severe reaction to the appearance of an alien artifact. The episode was written due to series creator Chris Carter's fascination with the possibility that extraterrestrials were involved in the great extinctions that had happened millions of years ago.
Answer: "The Sixth Extinction" is the first episode of the seventh season of the science fiction television series The X-Files. It was first shown on the Fox network on November 7, 1999, in the United States. "The Sixth Extinction" helped to explore new aspects of the series' overarching mythology. The episode was written by Chris Carter and directed by Kim Manners. "The Sixth Extinction" earned a Nielsen household rating of 10.6, being watched by 17.82 million people in its initial broadcast. The episode received mixed to positive reviews from critics.
Question: What is the meaning of 'akamai'?
Evidence: The company was named after akamai, which means 'clever,' or more colloquially, 'cool' in Hawaiian, which Lewin had discovered in a Hawaiian-English dictionary after the suggestion of a colleague.
Answer: clever
Question: From the paragraph below, give me a list of all the places where Leonardo lived and his areas of knowledge and scientific expertise.
Evidence: Leonardo di ser Piero da Vinci (15 April 1452 – 2 May 1519) was an Italian polymath of the High Renaissance who was active as a painter, draughtsman, engineer, scientist, theorist, sculptor, and architect. While his fame initially rested on his achievements as a painter, he also became known for his notebooks, in which he made drawings and notes on a variety of subjects, including anatomy, astronomy, botany, cartography, painting, and paleontology. Leonardo is widely regarded to have been a genius who epitomized the Renaissance humanist ideal, and his collective works comprise a contribution to later generations of artists matched only by that of his younger contemporary, Michelangelo.

Born out of wedlock to a successful notary and a lower-class woman in, or near, Vinci, he was educated in Florence by the Italian painter and sculptor Andrea del Verrocchio. He began his career in the city, but then spent much time in the service of Ludovico Sforza in Milan. Later, he worked in Florence and Milan again, as well as briefly in Rome, all while attracting a large following of imitators and students. Upon the invitation of Francis I, he spent his last three years in France, where he died in 1519. Since his death, there has not been a time where his achievements, diverse interests, personal life, and empirical thinking have failed to incite interest and admiration, making him a frequent namesake and subject in culture.
Answer: Leonardo was educated in Florence where he spent his early life, but then moved to Milan to work at the service of Sforza's family. Later in his life he also worked in Rome and finally he moved to France where he passed away in 1519. Leonardo was a scientist famous for his studies and publications on a variety of subjects including anatomy, astronomy, botany, cartography, painting and mechanical engineering.
Question: What is the difference between a resume and a cv?
Answer: The CV presents a complete history of various credentials like, academic, professional career, training, etc., so the length of the document can vary in some instances. In contrast, a resume is much more concise and primarily highlights specific skills and relevant qualifications for the particular job application. Henceforth, the length of the resume is relatively short.
Question: My 12-year-old daughter asks me: "Why can't I have my own cellphone? Everyone else in my class have one. Without a cellphone, I cannot make friends with them, and I cannot join their conversations. I feel lonely and sad." How to properly respond to my daughter? Shall I give her a cellphone or not?
Answer: Dear daughter, I truly understand your feeling, and I don't want to keep you feel bad at school. I'm willing to give you anything that I can reasonably afford that makes you happy. However, I have some concerns that giving you a cellphone might harm you instead of making you happier. Can you address my concerns and make me feel safe to give you the cellphone? Here are some of my concerns:
1. Using cellphone too much would harm your eye sight. Especially for teenagers, whose eyes are still growing, it's very easy to have near-sight pretty quickly.
2. Using cellphone too much would take too much of your time, and you would spend less time reading books, doing exercises, playing outside, talking to people, which harms your overall development. Adults like me already ready lots of books, did lots of exercises, and talked to a lot of people when I was a teenager, so I already developed those skills.
3. Using cellphone too much would make you feel hard to focus on one thing. The scattered information would stimulate your attention, and make you feel excited at superficial contents, and don't think deeply.
4. You might accidentally lost your cellphone, and you will feel sad about it. Teenagers usually are more likely to lost things than adults in general.
Question: Why is MPPT necessary?
Evidence: Maximum power point tracking (MPPT) or sometimes just power point tracking (PPT), is a technique used with variable power sources to maximize energy extraction as conditions vary. The technique is most commonly used with photovoltaic (PV) solar systems, but can also be used with wind turbines, optical power transmission and thermophotovoltaics.

PV solar systems have varying relationships to inverter systems, external grids, battery banks, and other electrical loads. The central problem addressed by MPPT is that the efficiency of power transfer from the solar cell depends on the amount of available sunlight, shading, solar panel temperature and the load's electrical characteristics. As these conditions vary, the load characteristic (impedance) that gives the highest power transfer changes. The system is optimized when the load characteristic changes to keep power transfer at highest efficiency. This optimal load characteristic is called the maximum power point (MPP). MPPT is the process of adjusting the load characteristic as the conditions change. Circuits can be designed to present optimal loads to the photovoltaic cells and then convert the voltage, current, or frequency to suit other devices or systems.

Solar cells' non-linear relationship between temperature and total resistance can be analyzed based on the Current-voltage (I-V) curve and the power-voltage (P-V) curves. MPPT samples cell output and applies the proper resistance (load) to obtain maximum power. MPPT devices are typically integrated into an electric power converter system that provides voltage or current conversion, filtering, and regulation for driving various loads, including power grids, batteries, or motors. Solar inverters convert DC power to AC power and may incorporate MPPT.

The power at the MPP (Pmpp) is the product of the MPP voltage (Vmpp) and MPP current (Impp).

In general, the P-V curve of a partially shaded solar array can have multiple peaks, and some algorithms can get stuck in a local maximum rather than the global maximum of the curve.
Answer: The efficiency of transferring the power from the photovoltaic (PV) solar systems depends on many factors which change frequently. MPPT system purpose is to continuously adjust the parameters under which the system work to achieve the most efficient transfer of power from the solar system to the load.
Question: Why did the Sahara experience a period of rapid desertification?
Evidence: The size of the Sahara has historically been extremely variable, with its area rapidly fluctuating and at times disappearing depending on global climatic conditions. At the end of the Ice ages, estimated to have been around 10,500 BCE, the Sahara had again become a green fertile valley, and its African populations returned from the interior and coastal highlands in sub-Saharan Africa, with rock art paintings depicting a fertile Sahara and large populations discovered in Tassili n'Ajjer dating back perhaps 10 millennia. However, the warming and drying climate meant that by 5000 BCE, the Sahara region was becoming increasingly dry and hostile. Around 3500 BCE, due to a tilt in the earth's orbit, the Sahara experienced a period of rapid desertification. The population trekked out of the Sahara region towards the Nile Valley below the Second Cataract where they made permanent or semi-permanent settlements. A major climatic recession occurred, lessening the heavy and persistent rains in Central and Eastern Africa. Since this time, dry conditions have prevailed in Eastern Africa and, increasingly during the last 200 years, in Ethiopia.
Answer: Sahara experienced a period of rapid desertification due to a tilt in the earth's orbit.