DataHammer/scimrc huggingface dataset:
Question: What are the baseline models?
Evidence: Methods ::: Models Tested ::: Recurrent Neural Network (RNN) Language Models
are trained to output the probability distribution of the upcoming word given a context, without explicitly representing the structure of the context BIBREF9, BIBREF10. We trained two two-layer recurrent neural language models with long short-term memory architecture BIBREF11 on a relatively small corpus. The first model, referred as `LSTM (PTB)' in the following sections, was trained on the sentences from Penn Treebank BIBREF12. The second model, referred as `LSTM (FTB)', was trained on the sentences from French Treebank BIBREF13. We set the size of input word embedding and LSTM hidden layer of both models as 256.
Methods ::: Models Tested ::: ActionLSTM
models the linearized bracketed tree structure of a sentence by learning to predict the next action required to construct a phrase-structure parse BIBREF16. The action space consists of three possibilities: open a new non-terminal node and opening bracket; generate a terminal node; and close a bracket. To compute surprisal values for a given token, we approximate $P(w_i|w_{1\cdots i-1)}$ by marginalizing over the most-likely partial parses found by word-synchronous beam search BIBREF17.
Methods ::: Models Tested ::: Generative Recurrent Neural Network Grammars (RNNG)
jointly model the word sequence as well as the underlying syntactic structure BIBREF18. Following BIBREF19, we estimate surprisal using word-synchronous beam search BIBREF17. We use the same hyper-parameter settings as BIBREF18.
 Recurrent Neural Network (RNN) Language Models
are trained to output the probability distribution of the upcoming word given a context, without explicitly representing the structure of the context BIBREF9, BIBREF10.
ActionLSTM
models the linearized bracketed tree structure of a sentence by learning to predict the next action required to construct a phrase-structure parse BIBREF16.
Generative Recurrent Neural Network Grammars (RNNG)
jointly model the word sequence as well as the underlying syntactic structure BIBREF18.
Answer: The answers are shown as follows:
* Recurrent Neural Network (RNN)
* ActionLSTM
* Generative Recurrent Neural Network Grammars (RNNG)
Question: In the 3 distinct aspects of hamuan ratings, what does semantic correspond to?
Evidence: To check how PARENT correlates with human judgments when the references are elicited from humans (and less likely to be divergent), we check its correlation with the human ratings provided for the systems competing in the WebNLG challenge BIBREF6 . The task is to generate text describing 1-5 RDF triples (e.g. John E Blaha, birthPlace, San Antonio), and human ratings were collected for the outputs of 9 participating systems on 223 instances. These systems include a mix of pipelined, statistical and neural methods. Each instance has upto 3 reference texts associated with the RDF triples, which we use for evaluation.
The human ratings were collected on 3 distinct aspects – grammaticality, fluency and semantics, where semantics corresponds to the degree to which a generated text agrees with the meaning of the underlying RDF triples. We report the correlation of several metrics with these ratings in Table TABREF48 . Both variants of PARENT are either competitive or better than the other metrics in terms of the average correlation to all three aspects. This shows that PARENT is applicable for high quality references as well.
While BLEU has the highest correlation for the grammar and fluency aspects, PARENT does best for semantics. This suggests that the inclusion of source tables into the evaluation orients the metric more towards measuring the fidelity of the content of the generation. A similar trend is seen comparing BLEU and BLEU-T. As modern neural text generation systems are typically very fluent, measuring their fidelity is of increasing importance. Between the two entailment models, PARENT-C is better due to its higher correlation with the grammaticality and fluency aspects.
The INLINEFORM0 parameter in the calculation of PARENT decides whether to compute recall against the table or the reference (Eq. EQREF22 ). Figure FIGREF50 shows the distribution of the values taken by INLINEFORM1 using the heuristic described in § SECREF3 for instances in both WikiBio and WebNLG. For WikiBio, the recall of the references against the table is generally low, and hence the recall of the generated text relies more on the table. For WebNLG, where the references are elicited from humans, this recall is much higher (often INLINEFORM2 ), and hence the recall of the generated text relies more on the reference.
The human ratings were collected on 3 distinct aspects – grammaticality, fluency and semantics, where semantics corresponds to the degree to which a generated text agrees with the meaning of the underlying RDF triples.
Answer: Semantics corresponds to the degree to which a generated text agrees with the meaning of the underlying RDF triples.
Question: How do you increase your output on a Peloton ride?
Answer: If you want to increase your output on a Peloton ride there are definitely a few tips and tricks to follow to ensure progress. First off, I would always recommend using the same official Peloton equipment (Peloton Bike or Peloton Bike+) to ensure you are tracking consistent metrics between your rides. I would also recommend doing a Functional Threshold Power Test (FTP Test), to get a baseline of your maximum performance as well as get a power meter for each of your rides. From there, a big amount of increasing your power comes from consistency of both riding frequency as well as consistency in overloading your leg muscles during those durations. Taking Power Zone rides (PZE, PZ, PZMax) or Power Zone programs is a great way to increase your output over time. These rides/programs are tailored to your max level of effort, and as you progress over time, so will your 7 power zone levels. Besides consistently riding and keeping track of your metrics/FTP, there is a quick trick for increasing your output which is not that sustainable. The trick is to ride out of the saddle and crank the resistance all the way up (75+). If you can move your legs at 50+ cadence and over say an 80 resistance, you will be putting up over 300 output. If you can sustain that for a minute at a time and do that 3-5 times during a ride, you will easily increase your total output. Lower cadence is not ideal for increasing your power from a longevity strategy, but is a quick answer for breaking a personal record. Good luck on your future rides, and don't forget to send love with some highfives!
Question: Who is Marika Labancz
Answer: Marika Labancz (born 23 July 1978) is a Hungarian alpine skier. She competed in the women's slalom at the 1998 Winter Olympics.
Question: How many participants do they employ in corpus construction?
Evidence: We recorded data from 19 participants and discarded the data of one of them due to technical difficulties with the eye-tracking calibration. Hence, we share the data of 18 participants. All participants are healthy adults (mean age = 34 (SD=8.3), 10 females). Their native language is English, originating from Australia, Canada, UK, USA or South Africa. Two participants are left-handed and three participants wear glasses for reading. Details on subject demographics can be found in Table TABREF4. All participants gave written consent for their participation and the re-use of the data prior to the start of the experiments. The study was approved by the Ethics Commission of the University of Zurich.
We recorded data from 19 participants and discarded the data of one of them due to technical difficulties with the eye-tracking calibration. Hence, we share the data of 18 participants.
Answer: 18 participants.
Question: How does on prepare for interviews at consulting firms?
Answer: Consulting companies like BCG, Bain and McKinsey have interview assessment along a few dimensions. Problem solving, structuring, leadership etc. Usually the problem solving and structuring is done using cases. A case is a business problem that is being faced by a company and the interviewee is expected to diagnose the issue, and likely root cause. In addition, hypotheses and solutions etc. The leadership evaluation is done using a personal project and being specific about what the interviewee specifically did him/herself.
Question: I have 3 apples, Jack has 4 pears and Jill has 5 books. After I ate two of Jack's pears, how many fruits we have in total now?
Answer: Apples and Pears are fruits, while books are not fruits. So before I ate two pears, we have 3+4=7 fruits in total. After I ate two pears, we have 7-2 = 5 fruits in total.
Question: Name some public companies that have been valued at over 1 trillion dollars.
Answer: The following are public companies that have been valued at over 1 trillion dollars:
- Apple
- Microsoft
- Google
- Amazon
Question: How is data collected, manual collection or Twitter api?
Evidence: We used the Twitter API to gather real-time tweets from September 2018 until February 2019, selecting the ones containing any of the 51 Hatebase terms that are more common in hate speech tweets, as studied in BIBREF9. We filtered out retweets, tweets containing less than three words and tweets containing porn related terms. From that selection, we kept the ones that included images and downloaded them. Twitter applies hate speech filters and other kinds of content control based on its policy, although the supervision is based on users' reports. Therefore, as we are gathering tweets from real-time posting, the content we get has not yet passed any filter.
We used the Twitter API to gather real-time tweets from September 2018 until February 2019, selecting the ones containing any of the 51 Hatebase terms that are more common in hate speech tweets, as studied in BIBREF9.
Answer: The answers are shown as follows:
* Twitter API
Question: Identify which instrument is string or percussion: Esterilla, Geomungo
Answer: Geomungo is string, Esterilla is percussion.
Question: What did Jordan Akins do after retiring from baseball?
Evidence: Akins graduated from Union Grove High School in McDonough, Georgia. He earned All-State honors as both a junior and senior, as well as All-Conference as a sophomore. He committed and signed to play football for the UCF Knights, choosing the Knights over schools such as LSU and Georgia. However, after being drafted by the Texas Rangers in the third round of the 2010 MLB Draft, he chose to pursue a baseball career instead of attending UCF and signed with the Rangers. Akins struggled in the minor leagues, hitting .218 over four seasons and never rising above high-A ball. He retired from baseball after the 2013 season and returned to play football at UCF.
Answer: Jordan Akins retired baseball after the 2013 season and returned to play football at UCF.
Question: Can you give a list of novels written by Nancy Kress?
Answer: The Prince of Morning Bells, (Timescape / Pocket Oct. 1981) / revised: (FoxAcre Press May 2000)
The Golden Grove, (Bluejay Books March 1984)
The White Pipes, (Bluejay Books Jan. 1985)
An Alien Light, (Arbor House / William Morrow Jan. 1988) / (Legend Nov. 1988)
Brain Rose, (William Morrow Jan. 1990)
Maximum Light, (Tor Jan. 1997)
Yanked!, (Avon June 1999) from David Brin's Out of Time series
Nothing Human, (Golden Gryphon Press Sep. 2003)
Dogs, (Tachyon Publications July 2008)
Steal Across the Sky, (Tor Feb. 2009)
After the Fall, Before the Fall, During the Fall (Tachyon Publications April 2012)
Flash Point, (Viking Nov. 2012)
Sea Change, (Tachyon Publications May 2020)
The Eleventh Gate, (Baen Books May 5, 2020)
Question: What is the purpose of life?
Answer: This is a philosophical question that many people over the course of history have asked. Some people say that there is no purpose of life while some say the purpose of life is what you make of it. There is no way to tell which answer is correct because there doesn't exists any source of truth to compare with.
Question: If you are traveling to the moon, can you think of any reason to bring a gun  ?
Answer: -Emergency propulsion
-Protection from hostile people or animals, when landing back Earth 
-Bullets have their own oxidizers, so gun and used in emergency situations as an explosive
Question: Is KQKZ a commercial radio station?
Evidence: KQKZ (92.1 FM "Q92.1") is a commercial radio station that is licensed to serve the community of Bakersfield, California. It is owned by Lotus Communications. Its studios are located in southwest Bakersfield, while its transmitter is located northeast of the city. It is a classic hits station branded Q92.1 (pronounced Q ninety-two-one).
Answer: Yes, it is a commercial radio station.
Question: What evaluation tasks are considered in the paper?
Evidence: We will use the method from BIBREF7 as our main baseline. This will allow us to directly evaluate the effectiveness of embeddings for the considered problem, since we have used the same structured datasets and same tag weighting scheme. For this reason, we will also follow their evaluation methodology. In particular, we will consider three evaluation tasks:
Predicting the distribution of 100 species across Europe, using the European network of nature protected sites Natura 2000 dataset as ground truth. For each of these species, a binary classification problem is considered. The set of locations INLINEFORM0 is defined as the 26,425 distinct sites occurring in the dataset.
Predicting soil type, again each time treating the task as a binary classification problem, using the same set of locations INLINEFORM0 as in the species distribution experiments. For these experiments, none of the soil type features are used for generating the embeddings.
Predicting CORINE land cover classes at levels 1, 2 and level 3, each time treating the task as a binary classification problem, using the same set of locations INLINEFORM0 as in the species distribution experiments. For these experiments, none of the CORINE features are used for generating the embeddings.
In addition, we will also consider the following regression tasks:
Predicting 5 climate related features: the average precipitation, temperature, solar radiation, water vapor pressure, and wind speed. We again use the same set of locations INLINEFORM0 as for species distribution in this experiment. None of the climate features is used for constructing the embeddings for this experiment.
Predicting people's subjective opinions of landscape beauty in Britain, using the crowdsourced dataset from the ScenicOrNot website as ground truth. The set INLINEFORM0 is chosen as the set of locations of 191 605 rated locations from the ScenicOrNot dataset for which at least one georeferenced Flickr photo exists within a 1 km radius.
1. Predicting the distribution of 100 species across Europe, using the European network of nature protected sites Natura 20008 dataset as ground truth. For each of these species, a binary classification problem is considered. The set of locations L is defined as the 26,425 distinct sites occurring in the dataset. 2. Predicting soil type, again each time treating the task as a binary classification problem, using the same set of locations L as in the species distribution experiments. For these experiments, none of the soil type features are used for generating the embeddings. 3. Predicting CORINE land cover classes at levels 1, 2 and level 3, each time treating the task as a binary classification problem, using the same set of locations L as in the species distribution experiments. For these experiments, none of the CORINE features are used for generating the embeddings.
Answer: They predict the distribution of 100 species across Europe, soil type and CORINE land cover classes at levels 1, 2, and level 3.
Question: Does the model incorporate coreference and entailment?
Evidence: Self-Attention on Question. As the question has integrated previous utterances, the model needs to directly relate previously mentioned concept with the current question. This is helpful for concept carry-over and coreference resolution. We thus employ self-attention on question. The formula is the same as word-level attention, except that we are attending a question to itself: $\lbrace {u}_i^Q\rbrace _{i=1}^n=\mbox{Attn}(\lbrace {h}_i^{Q,K+1}\rbrace _{i=1}^n, \lbrace {h}_i^{Q,K+1}\rbrace _{i=1}^n, \lbrace {h}_i^{Q,K+1}\rbrace _{i=1}^n)$ . The final question representation is thus $\lbrace {u}_i^Q\rbrace _{i=1}^n$ .
Self-Attention on Question. As the question has integrated previous utterances, the model needs to directly relate previously mentioned concept with the current question. This is helpful for concept carry-over and coreference resolution. We thus employ self-attention on question.
Answer: The answers are shown as follows:
* As the question has integrated previous utterances, the model needs to directly relate previously mentioned concept with the current question. This is helpful for concept carry-over and coreference resolution.
Question: Tell me whether these states and provinces are in Canada or USA: Alabama, Ontario, British Columbia, South Dakota, Quebec, Minnesota, Wisconsin
Answer: Alabama: USA
Ontario: Canada
British Columbia: Canada
South Dakota: USA
Quebec: Canada
Minnesota: USA
Wisconsin: USA
Question: What hikes in the White Mountains are the most dangerous?
Answer: The degree of danger associated with any hike is subjective based on the hiker's general hiking experience, physical fitness, safety training and familiarity with the trails and terrain in the region. Many hikes are considered dangerous due to their steep pitches and exposure to the elements, while others can be considered dangerous due to less activity and poor trail blazing, such as bushwhacks. Other factors such as inclement weather can dramatically increase the danger of even a moderate hike. Proper preparedness, familiarity of the trails, understanding of incoming weather patterns and communicating your plans and timing to another person helps reduce risk in hiking the White Mountains, but one always assumes some degree of risk. A simple sprained ankle can mean life or death in bad weather, as the White Mountains, and notably the Presidential Range and Mount Washington, are notorious for life-threatening weather. Combined with very exposed routes and lack of safety equipment, even the most experienced hikers have fallen victim to the White Mountains. For experienced hikers seeking more adventurous routes, one might refer to the popular list "The  Terrifying 25" which provides a list of routes that have steep inclines, a lot of exposure, fun ladders and caves, among other features. Huntington Ravine on Mount Washington is considered the most dangerous in all the Whites for its erratic weather, steep, exposed trails with drop-offs, and less traveled by other hikers.
Question: What is the biggest flag in the world?
Answer: According to Guinness World Records the largest flag ever made was of a Romanian national flag that measured 349 x 227 metres (1,145 x 744.5ft) – about three times the size of a football field. It weighed 5-tonnes and consisted of 44 miles of thread and was unfurled 22 miles South-East of Bucharest.
Question: Who finally conquered Constantinople?
Answer: After a lengthy siege, the forces of the Ottoman Empire under Sultan Mehmed II successfully took Constantinople and ended the Eastern Roman Empire.
Question: As a 16-year old high school student, write a short summary of your visit to the Vermeer exhibition in the Rijksmuseum.
Answer: My friends and I  went to the Rijksmuseum the other day to see the Vermeer exhibition. I have to say, I wasn't too excited about it at first, but it turned out to be pretty cool. Vermeer was a Dutch painter from the 1600s and he was known for his realistic paintings of everyday life. We saw a lot of his paintings and they were really impressive, especially when you consider the time period they were from. My favorite painting was definitely the Girl with a Pearl Earring. The colors and lighting were amazing, and it was kind of mesmerizing to look at. We also saw some other paintings from different artists, like Rembrandt and Frans Hals, and they were all really cool too. It was a nice break from all the usual teenage stuff and I actually learned something new.
Question: When was the first bicycle race?
Evidence: The first bicycle race is popularly held to have been a 1,200 m (3,900 ft) race on the 31 May 1868 at the Parc de Saint-Cloud, Paris, France. It was won by expatriate Englishman James Moore who rode a wooden bicycle with solid rubber tires. The machine is now on display at the museum in Ely, Cambridgeshire, England.
Answer: It's commonly believed that the first bicycle race was held May 31, 1868 at the Parc de Saint-Cloud, Paris, France.  The race distance was 1,200 m and was won by James Moore, an expatriate Englishman.  Moore rode a wooden bicycle with solid rubber tires.  Moore's bicycle is now on display in a museum in England.
Question: What are some classic board games to play with the family?
Answer: Monopoly, Trivial Pursuit, Chess, Backgammon and Scrabble are timeless games suitable for the family.
Question: Given this paragraph about Mass–energy equivalence, tell me what each part of the equation E=mc² stands for.
Evidence: The formula defines the energy E of a particle in its rest frame as the product of mass (m) with the speed of light squared (c2). Because the speed of light is a large number in everyday units (approximately 300000 km/s or 186000 mi/s), the formula implies that a small amount of "rest mass", measured when the system is at rest, corresponds to an enormous amount of energy, which is independent of the composition of the matter.
Answer: E is for energy, m is for mass, and c² is for the speed of light squared
Question: Given the biography of Nemacolin, what years did George Washington use Nemacolin's Path?
Evidence: The son of Checochinican (Chickoconecon), chief of the Fish Clan of the Turtle tribe, Nemacolin was born near the Brandywine Creek, probably close to the Swedish trading post at Fort Christina that later became Wilmington, Delaware. By a treaty with William Penn in 1726, various tribes either rented or gave up their land on both sides of Brandywine Creek. Nemacolin likely grew up near Shamokin, Pennsylvania, a village near the Susquehanna River to which the Delaware had retreated when faced with disease and colonization of their traditional lands by white settlers. His family grew to know trader Thomas Cresap, and moved south and west with the Cresap family, likely after a controversy between groups of settlers aligned with the colonies of Maryland and Pennsylvania known as Cresap's War.

Circa 1750, Cresap received instructions to improve the Native American path across the Appalachian Mountains through the Cumberland Narrows. He hired Nemacolin and his two sons, among others, to complete the task between Will's Creek (a trading post on a tributary of the Potomac River later the site of Fort Cumberland) and the mouth of Redstone Creek on the Monongahela River (a tributary of the Ohio River) which later became Redstone Old Fort and even later Brownsville, Pennsylvania. A side trail led to the residence of Christopher Gist. Gist led George Washington along Nemacolin's Path in 1753 and 1754. It was later improved to permit supply wagons for General Edward Braddock's army, and the General ultimately died on the route in 1755 after the disastrous Battle of the Monongahela near present day Pittsburgh. About 1759, as the war ended, Nemocolin reblazed the path to the residence of James Burd which became Fort Burd and later renamed Redstone Old Fort. Another branch went to Uniontown, Pennsylvania.
Answer: George Washington was led by Christopher Gist along Nemacolin's Path in 1753 and 1754