DataHammer/scimrc huggingface dataset:
Question: Given a reference text about Taylor Fritz, tell me what country he's from and his best finish at a Grand Slam tournament?
Evidence: Taylor Harry Fritz (born October 28, 1997) is an American professional tennis player. He has a career-high singles ranking of world No. 5 by the Association of Tennis Professionals (ATP), achieved on February 27, 2023, and a doubles ranking of world No. 104, achieved on July 26, 2021. Fritz has won five ATP Tour singles titles, including a Masters 1000 title at the 2022 Indian Wells Masters. His best result in a Grand Slam tournament was reaching the quarterfinals of the 2022 Wimbledon Championships. He is currently the No. 1 American player.

Fritz reached his maiden ATP final in only his third career event, the 2016 Memphis Open. Only one other American, John Isner, has reached an ATP final in fewer career events. He won a junior major singles title at the 2015 US Open, and was the runner-up in junior singles at the 2015 French Open.
Answer: Taylor Fritz is from the United States and his best finish in a Grand Slam tournament was reaching the quarterfinals at Wimbledon in 2022.
Question: What device is used to resolve combat outcomes in Quest of the Ancients?
Evidence: Quest of the Ancients is an independent role-playing game published in the late 1980s by Unicorn Game Publications. It is mainly a Dungeons & Dragons clone, in that it was character class- and level-based, used a Dungeon & Dragons style Vancian Magic system, and used a skill system similar to the Advanced Dungeons & Dragons thief skill system. Most notably, it used a thirty sided die (or d30) for combat resolution. Written by Vince Garcia of Fresno, California, the game system implements a large number of character classes.
Answer: A thirty sided die (or d30) is used for combat resolution.
Question: Which trophies have West Ham won?
Evidence: West Ham have been winners of the FA Cup three times (1964, 1975 and 1980) and runners-up twice (1923 and 2006). The club have reached two major European finals, winning the European Cup Winners' Cup in 1965 and finishing runners-up in the same competition in 1976. West Ham also won the Intertoto Cup in 1999. They are one of eight clubs never to have fallen below the second tier of English football, spending 63 of 95 league seasons in the top flight, up to and including the 2020–21 season. The club's highest league position to date came in 1985–86, when they achieved third place in the then First Division.
Answer: West Ham won the FA Cup in 1964, 1975 and 1980. They won the European Cup Winner's Cup in 1965 and the Intertoto cup in 1999.
Question: From the passage provided, extract information about the new proposed airport in Mumbai
Evidence: The Chhatrapati Shivaji Maharaj International Airport (formerly Sahar International Airport) is the main aviation hub in the city and the second busiest airport in India in terms of passenger traffic. It handled 36.6 million (3.66 crore) passengers and 694,300 tonnes of cargo during FY 2014–2015. An upgrade plan was initiated in 2006, targeted at increasing the capacity of the airport to handle up to 40 million (4 crore) passengers annually and the new terminal T2 was opened in February 2014.

The proposed Navi Mumbai International airport to be built in the Kopra-Panvel area has been sanctioned by the Indian Government and will help relieve the increasing traffic burden on the existing airport.

The Juhu Aerodrome was India's first airport, and now hosts the Bombay Flying Club and a heliport operated by state-owned Pawan Hans.
Answer: The proposed Navi Mumbai International airport to be built in the Kopra-Panvel area has been sanctioned by the Indian Government
Question: What is a sleeping bag?
Answer: A sleeping bag is a warm blanket that can be zipped up to enclose the sleeper. Sleeping bags are typically filled with either down or synthetic material (down is lighter but stays wet longer) and is often used for staying at night while camping.
Question: Kindly provide a bullet list of key aspects of Cricket sport from the given passage.
Evidence: Cricket is a bat-and-ball game played between two teams of eleven players on a field at the centre of which is a 22-yard (20-metre) pitch with a wicket at each end, each comprising two bails balanced on three stumps. The batting side scores runs by striking the ball bowled at one of the wickets with the bat and then running between the wickets, while the bowling and fielding side tries to prevent this (by preventing the ball from leaving the field, and getting the ball to either wicket) and dismiss each batter (so they are "out"). Means of dismissal include being bowled, when the ball hits the stumps and dislodges the bails, and by the fielding side either catching the ball after it is hit by the bat, but before it hits the ground, or hitting a wicket with the ball before a batter can cross the crease in front of the wicket. When ten batters have been dismissed, the innings ends and the teams swap roles. The game is adjudicated by two umpires, aided by a third umpire and match referee in international matches. They communicate with two off-field scorers who record the match's statistical information.
Answer: 1. Cricket is a game played with bat and ball between 2 teams of 11 players each.
2. The game is played on a pitch of 22 yard which has a wicket (2 bails on 3 stumps) on both ends.
3. One team does batting another does bowling.
4. The batting side scores runs by striking the bowl and then running between wickets.
5. Bowling sides tries to prevent batting side from getting the ball leaving the field along with getting the bowl to either wicket so that batter can be dismissed.
6. Dismissal can happen when ball hits the stumps and throws the bails, fielders on bowling  side catching the ball after hitting the bat but before hitting the ground or by hitting the wicket with the bowl before the batter can cross the crease in front of wicket.
7. When 10 batters are dismissed, the innings ends and roles of the teams are reversed.
8. The game is supervised by 2 umpires, a third umpire and match referee in international matches.
9. The umpires communicate with two off-field scores who records the match's statistical information
Question: What was the data for this study gathered from?
Evidence: The data for this study was gathered from the ted.com website on November 15, 2017. We removed the talks published six months before the crawling date to make sure each talk has enough ratings for a robust analysis. More specifically, we filtered any talk that—
The data for this study was gathered from the ted.com website on November 15, 2017.
Answer: The data for this study was gathered from the ted.com website on November 15, 2017.
Question: Where does the name Busan (city in Korea) come from?
Evidence: The name "Busan" is the Revised Romanization of the city's Korean name since the late 15th century. It officially replaced the earlier McCune-Reischauer romanization Pusan in 2000. During the Japanese period it was spelled "Fuzan".  The name 釜山 (now written 부산 using the Korean alphabet) is Sino-Korean for "Cauldron Mountain", believed to be a former name of Mt Hwangryeong (황령산, 荒嶺山, Hwangryeong-san) west of the city center. The area's ancient state Mt Geochil (거칠산국, 居柒山國, Geochilsan-guk, "Rough-Mountain Land") is similarly thought to refer to the same mountain, which towers over the town's harbor on the Suyeong. (The later Silla district of Geochilsan-gun was renamed Dongnae in 757.)
Answer: "Busan" is the romanization of the city's Korean name - 부산.  Previously, the name was romanized as "Pusan" until it was officially replaced in 2000.  The meaning of the name in Sino-Korean is "Cauldron Mountain", believed to be the former name of a nearby mountain now known as Mt Hwangryeong (황령산).
Question: What is the largest pollutant?
Answer: Carbon dioxide (CO2) - a greenhouse gas emitted by burning fossil fuels, deforestation, and other human activities that contribute to climate change.

Particulate matter - tiny particles of pollutants such as dust, smoke, and soot that can be inhaled and cause respiratory problems.

Nitrogen oxides (NOx) - gases emitted by vehicle exhausts and industrial processes that contribute to air pollution and can also react with other pollutants to form ozone.

Sulfur dioxide (SO2) - a gas emitted by burning fossil fuels and industrial processes that can cause respiratory problems and acid rain.

Methane (CH4) - a potent greenhouse gas emitted by agriculture, waste management, and natural gas production.

Chlorofluorocarbons (CFCs) - chemicals used in refrigeration, air conditioning, and industrial processes that contribute to the depletion of the ozone layer.
Question: How much does HAS-QA improve over baselines?
Evidence: 1) HAS-QA outperforms traditional RC baselines with a large gap, such as GA, BiDAF, AQA listed in the first part. For example, in QuasarT, it improves 16.8% in EM score and 20.4% in F1 score. As RC task is just a special case of OpenQA task. Some experiments on standard SQuAD dataset(dev-set) BIBREF9 show that HAS-QA yields EM/F1:0.719/0.798, which is comparable with the best released single model Reinforced Mnemonic Reader BIBREF25 in the leaderboard (dev-set) EM/F1:0.721/0.816. Our performance is slightly worse because Reinforced Mnemonic Reader directly use the accurate answer span, while we use multiple distantly supervised answer spans. That may introduce noises in the setting of SQuAD, since only one span is accurate.
2) HAS-QA outperforms recent OpenQA baselines, such as DrQA, R ${}^3$ and Shared-Norm listed in the second part. For example, in QuasarT, it improves 4.6% in EM score and 3.5% in F1 score.
FLOAT SELECTED: Table 2: Experimental results on OpenQA datasets QuasarT, TriviaQA and SearchQA. EM: Exact Match.
HAS-QA outperforms traditional RC baselines with a large gap, such as GA, BiDAF, AQA listed in the first part. For example, in QuasarT, it improves 16.8% in EM score and 20.4% in F1 score. As RC task is just a special case of OpenQA task. Some experiments on standard SQuAD dataset(dev-set) BIBREF9 show that HAS-QA yields EM/F1:0.719/0.798, which is comparable with the best released single model Reinforced Mnemonic Reader BIBREF25 in the leaderboard (dev-set) EM/F1:0.721/0.816. 
HAS-QA outperforms recent OpenQA baselines, such as DrQA, R ${}^3$ and Shared-Norm listed in the second part. For example, in QuasarT, it improves 4.6% in EM score and 3.5% in F1 score.
FLOAT SELECTED: Table 2: Experimental results on OpenQA datasets QuasarT, TriviaQA and SearchQA. EM: Exact Match.
Answer: The answers are shown as follows:
* For example, in QuasarT, it improves 16.8% in EM score and 20.4% in F1 score. 
* For example, in QuasarT, it improves 4.6% in EM score and 3.5% in F1 score.
Question: What is connectomics?
Answer: Connectomics is the production and study of connectomes: comprehensive maps of connections within an organism's nervous system. More generally, it can be thought of as the study of neuronal wiring diagrams with a focus on how structural connectivity, individual synapses, cellular morphology, and cellular ultrastructure contribute to the make up of a network. The nervous system is a network made of billions of connections and these connections are responsible for our thoughts, emotions, actions, memories, function and dysfunction. Therefore, the study of connectomics aims to advance our understanding of mental health and cognition by understanding how cells in the nervous system are connected and communicate. Because these structures are extremely complex, methods within this field use a high-throughput application of functional and structural neural imaging, most commonly magnetic resonance imaging (MRI), electron microscopy, and histological techniques in order to increase the speed, efficiency, and resolution of these nervous system maps. To date, tens of large scale datasets have been collected spanning the nervous system including the various areas of cortex, cerebellum, the retina, the peripheral nervous system and neuromuscular junctions.

Generally speaking, there are two types of connectomes; macroscale and microscale. Macroscale connectomics refers to using functional and structural MRI data to map out large fiber tracts and functional gray matter areas within the brain in terms of blood flow (functional) and water diffusivity (structural). Microscale connectomics is the mapping of small organisms' complete connectome using microscopy and histology. That is, all connections that exist in their central nervous system.
Question: How to raise a kitten?
Answer: When it comes to raise a kitten, it's like raising child. You need extra care and treat it with extra care. The first few months are a crucial time in shaping your kitten’s emotional and physical well-being. In the first 8 week, there're 4 things you should pay attention to, 1) Always keep kittens warm. Because kittens under four weeks of age do not have the ability to thermoregulate, you must help them maintain body warmth. A warmed Snuggle Safe disk at the opening of the cage or crate is a good idea. 2) Provide kittens with adequate nutrition. Kittens should gain about ½ ounce (14 grams) per day or 4 ounces (113 grams) per week. When feeding,  The temperature of the formula before feeding should be warm to around 100oF or 38oC, but not too hot.3) Keep kittens clean. If kittens are orphaned and do not have a mom to regularly groom then, it is important to teach them to groom and keep them clean. It is okay to wash a kitten with warm water but focus only on the areas needing cleaned.4) Provide socialisation with people and with other kittens. It is good to get them used to contact with people when they're 3 weeks old. They could learn from their littermates and learning from their mom. Play is the best method to help them physically and socially develop.
Question: How often do Germans vote?
Answer: Federal elections in Germany are held every four years. Germans also vote in the European election, which is conducted every five years. Furthermore, state elections are typically held every five years, but the dates are staggered between different states. Finally, referendums might occur irregularly. The voter turnout varies; an individual voter might not participate in an election.
Question: Give me six examples of common productivity myths.
Answer: - Waking up early will make you more productive
- Everyone has "the same" 24 hours each day in which to be productive
- Being busy means being productive
- Multi-tasking and task shifting will allow you to be more productive
- If you're happy with your work, you will be more productive
- Hard work inevitably leads to productivity
Question: What should I think about when buying a car (summarization)
Answer: There are many aspects to consider when choosing a car. Your budget and your needs of the vehicle (seats, luggage space, ability to drive on rough terrain) are probably the main two. These factors probably then influence how you prioritise between age of the vehicle and the mileage you're willing for it to have covered already, the type of car (convertible, estate, coupe, 4x4/SUV etc.) and the brands you consider desirable. Buying a car is typically somebody's second-largest expense, so proceed with caution; if you're planning on buying a used car, you should thoroughly research its history via online 'vehicle history check' reports and conduct the relevant checks to make sure that the person selling the car is entitled to do so.
Question: What does the proposed model use to capture role alignments in parallel corpora?
Evidence: We propose a Bayesian model of semantic role induction (SRI) that uses crosslingual latent variables to capture role alignments in parallel corpora. The crosslingual latent variables capture correlations between roles in different languages, and regularize the parameter estimates of the monolingual models. Because this is a joint Bayesian model of multilingual SRI, we can apply the same model to a variety of training scenarios just by changing the inference procedure appropriately. We evaluate monolingual SRI with a large unlabeled dataset, bilingual SRI with a parallel corpus, bilingual SRI with annotations available for the source language, and monolingual SRI with a small labeled dataset. Increasing the amount of monolingual unlabeled data significantly improves SRI in German but not in English. Adding word alignments in parallel sentences results in small, non significant improvements, even if there is some labeled data available in the source language. This difficulty in showing the usefulness of parallel corpora for SRI may be due to the current assumptions about role alignments, which mean that only a small percentage of roles are aligned. Further analyses reveals that annotating small amounts of data can easily outperform the performance gains obtained by adding large unlabeled dataset as well as adding parallel corpora.
Future work includes training on different language pairs, on more than two languages, and with more inclusive models of role alignment.
We propose a Bayesian model of semantic role induction (SRI) that uses crosslingual latent variables to capture role alignments in parallel corpora.
Answer: Crosslingual latent variables.
Question: Inferring whether an instance x satisfies a concept P is surprisingly involved as it requires to generate a (presumably large) number of candidate descriptions for P and then counting, for each description, whether x satisfies it. Presumably this scales poorly with language complexity. Is this efficient at all?
Evidence: Table 4: Computational cost of our models at test time to tag s new structures. In Odeen r=24,794,
b=32, s=1,176. Notice how CRNs offer a good balance between computational efficiency and performance, this trade-off is regulated by a single parameter, the number of beams.
Table 5: Computational cost of our models at test time to produce the textual rule in output
Answer: Please note that this operation is fully parallelizable, thus several conjectures can be tested in the same GPU batch. Tables 3 and 4 in appendix C display the computational cost and the execution time in seconds, which in Odeen remains in the same order of magnitude with respect to the traditional end-to-end approach with t=300 generated conjectures. Moreover, CRNs exhibit a parameter t at test time which controls the trade-off between computational cost and performance. As shown in the inset figure in the “Adjustable thinking time” paragraph in section 5, very cheap models with t=50 or even 10 still express a significant gap in performance vs the traditional empiricist models.
Question: What is mass spectrometry?
Answer: Mass spectrometry (MS) is an analytical technique that is used to measure the mass-to-charge ratio of ions. The results are presented as a mass spectrum, a plot of intensity as a function of the mass-to-charge ratio. Mass spectrometry is used in many different fields and is applied to pure samples as well as complex mixtures.

A mass spectrum is a type of plot of the ion signal as a function of the mass-to-charge ratio. These spectra are used to determine the elemental or isotopic signature of a sample, the masses of particles and of molecules, and to elucidate the chemical identity or structure of molecules and other chemical compounds.

In a typical MS procedure, a sample, which may be solid, liquid, or gaseous, is ionized, for example by bombarding it with a beam of electrons. This may cause some of the sample's molecules to break up into positively charged fragments or simply become positively charged without fragmenting. These ions (fragments) are then separated according to their mass-to-charge ratio, for example by accelerating them and subjecting them to an electric or magnetic field: ions of the same mass-to-charge ratio will undergo the same amount of deflection. The ions are detected by a mechanism capable of detecting charged particles, such as an electron multiplier. Results are displayed as spectra of the signal intensity of detected ions as a function of the mass-to-charge ratio. The atoms or molecules in the sample can be identified by correlating known masses (e.g. an entire molecule) to the identified masses or through a characteristic fragmentation pattern.
Question: What are some dishes that avocados can be used in?
Answer: Avocados are a delicious creamy fruit that can be used in a variety of dishes and in cooking. Avocados can be sliced up and added into salads, or they can be mashed up and spread on toast to make avocado toast. Avocados are also the main ingredient in guacamole. They can also be diced into small cubes and added into poke. Some people also blend avocados and put them into smoothies, or use it in desserts as a healthier alternative ingredient.
Question: What are some good kids activities on Lake Norman, NC?
Answer: Lake Norman offers activities for a range of different ages/interests. If you're looking to spend time near the waters edge, you can visit one of the many town and state parks that border the lake: Jetton Park - Cornelius, Lake Norman State Park - Troutman, Ramsey Creek Park - Cornelius are a few options. You can also hire a boat for the day and enjoy fishing, water sports, or cruising. There are several small islands on the lake that are free for public use, where you can find small beaches to pull up and picnic/play in the sand. The water temperature of the lake during the summer months is generally warm and children should enjoy swimming and splashing in the water.
Question: What data were they used to train the multilingual encoder?
Evidence: For the MT task, we use the WMT 2014 En $\leftrightarrow $ Fr parallel corpus. The dataset contains 36 million En $\rightarrow $ Fr sentence pairs. We swapped the source and target sentences to obtain parallel data for the Fr $\rightarrow $ En translation task. We use these two datasets (72 million sentence pairs) to train a single multilingual NMT model to learn both these translation directions simultaneously. We generated a shared sub-word vocabulary BIBREF37 , BIBREF38 of 32K units from all source and target training data. We use this sub-word vocabulary for all of our experiments below.
For the MT task, we use the WMT 2014 En $\leftrightarrow $ Fr parallel corpus. The dataset contains 36 million En $\rightarrow $ Fr sentence pairs. We swapped the source and target sentences to obtain parallel data for the Fr $\rightarrow $ En translation task. We use these two datasets (72 million sentence pairs) to train a single multilingual NMT model to learn both these translation directions simultaneously. 
Answer: WMT 2014 En-Fr parallel corpus
Question: How large a cluster can Spark scale to?
Answer: Many organizations run Spark on clusters of thousands of nodes. The largest cluster we know has 8000 of them. In terms of data size, Spark has been shown to work well up to petabytes. It has been used to sort 100 TB of data 3X faster than Hadoop MapReduce on 1/10th of the machines, winning the 2014 Daytona GraySort Benchmark, as well as to sort 1 PB. Several production workloads use Spark to do ETL and data analysis on PBs of data.
Question: Which spices should every cook have on hand?
Answer: Salt and Pepper are essential spices. Cumin, Chilli, Turmeric, Garlic and Cinnamon are also popular.
Question: There are many different types, styles and genres of dance. Categorize these dances based on the their style;

Mambo, Kizomba, Robot, Jazz dance, Lady hop, Rumba, west coat swing, Boogaloo, blues
Answer: I would like to do that. Here is the list of these dances grouped by their style;

Latin dances: Salsa, Bachta, Rumba, Mambo
African - American: Kizomba, Jazz dance
Disco: Boogaloo, Robot
Swing dance: Lady hop, west coat swing, blues.
Question: Who are the longest running cast members on Saturday Night Live?
Answer: The longest running cast member on Saturday Night Live is Kenan Thompson. Kenan Thompson has starred in 20 seasons. Next, Darrel Hammon starred in 14 seasons. Seth Meyers appeared in 13 seasons.