DataHammer/scimrc huggingface dataset:
Question: What is the typical math curriculum for a 5th grader
Answer: Typical math curriculum for 5th grade consists of 
1. Numbers and operations on whole numbers, decimals, fractions, percentages, ratios and proportions
2. Loose introduction to algebra and abstract thinking
3. Areas and perimeters of shapes, introduction to triangles, lines, segments, angles etc.
4. Translating word problems into symbolic math to solve logic problems.
Question: Given this paragraph about the Japan Rail Pass, tell me whether it is available for purchase to Japanese citizens.
Evidence: The Japan Rail Pass, also called the JR Pass, is a rail pass for overseas visitors sold by the Japan Railways Group, and is valid for travel on all major forms of transportation provided by the JR Group in Japan, with a few exceptions. The Rail Pass is designed to stimulate travel and tourism throughout the country. It is only cost effective for long-distance travel, particularly by bullet train. While the savings from extensive travel can be considerable, those who travel too little may in fact lose money on a rail pass. The Japan Rail Pass is of limited use within larger cities, as private operators generally do not accept the Rail Pass. In Tokyo, for instance, it covers the Yamanote Line which goes to several popular tourist areas, as well as in Osaka on the Osaka Loop Line, plus in Kyoto on the Nara Line and Sagano Line.
Answer: No, the JR Pass is only intended for purchase by overseas visitors to Japan.
Question: Provide a list of benefits of flying first class.
Answer: The following are benefits of flying first class:
1. Checked bags are free
2. More comfortable seats
3. Additional leg room
4. Free alcohol on the plane
5. Better food on the plane
6. Boarding and exiting the plane first
Question: What type of rock climbing is best?
Answer: There are many different types of rock climbing and none of them are "best". Bouldering, Sport climbing and trad climbing are the main types. What type that you enjoy the most depends on many factors including how high you want to climb and how much gear you want to use.
Question: What media outlets did Dean Dill appear in? Please format this as a bulleted list, and include the date in the format "{Media Outlet} ({Date})" on each line
Evidence: Dean Dill (born 8 March 1947) was a magician and effects designer who lived and worked in Glendale, California, USA. He appeared on The Tonight Show in November 1990. His performance focused mostly on closeup effects and coin magic. He created effects, including "Dean's Box," "Blizzard", and "A New World" (created with magic innovator Michael Weber).

He appeared on the cover of the October 2003 edition of The Linking Ring magazine. Dill died on 7 February 2015.
Answer: Sure, here are the media outlets Dean Dill appeared in:
- The Tonight Show (November 1990)
- The Linking Ring (October 2003)
Question: Are multilingual results higher than monolingual ones on average?
Evidence: We analyse the incremental effect of the different features in our system, focusing on the low-resource setting in Track 1 and using development data.
Encoding the entire context with an LSTM highly increases the variance of the observed results. So we trained fifty models for each language and each architecture. Figure FIGREF23 visualises the means and standard deviations over the trained models. In addition, we visualise the average accuracy for the five best models for each language and architecture, as these are the models we use in the final ensemble prediction. Below we refer to these numbers only.
The results indicate that encoding the full context with an LSTM highly enhances the performance of the model, by 11.15% on average. This observation explains the high results we obtain also for Track 2.
Adding the auxiliary objective of MSD prediction has a variable effect: for four languages (de, en, es, and sv) the effect is positive, while for the rest it is negative. We consider this to be an issue of insufficient data for the training of the auxiliary component in the low resource setting we are working with.
We indeed see results improving drastically with the introduction of multilingual training, with multilingual results being 7.96% higher than monolingual ones on average.
We studied the five best models for each language as emerging from the multilingual training (listed in Table TABREF27 ) and found no strong linguistic patterns. The en–sv pairing seems to yield good models for these languages, which could be explained in terms of their common language family and similar morphology. The other natural pairings, however, fr–es, and de–sv, are not so frequent among the best models for these pairs of languages.
Finally, monolingual finetuning improves accuracy across the board, as one would expect, by 2.72% on average.
The final observation to be made based on this breakdown of results is that the multi-tasking approach paired with multilingual training and subsequent monolingual finetuning outperforms the other architectures for five out of seven languages: de, en, fr, ru and sv. For the other two languages in the dataset, es and fi, the difference between this approach and the approach that emerged as best for them is less than 1%. The overall improvement of the multilingual multi-tasking approach over the baseline is 18.30%.
We indeed see results improving drastically with the introduction of multilingual training, with multilingual results being 7.96% higher than monolingual ones on average.
Answer: Yes.
Question: What crowdsourcing platform is used for data collection and data validation?
Evidence: The data presented in this paper was collected and validated via Mozilla's Common Voice initiative. Using either the Common Voice website or iPhone app, contributors record their voice by reading sentences displayed on the screen (see Figure (FIGREF5)). The recordings are later verified by other contributors using a simple voting system. Shown in Figure (FIGREF6), this validation interface has contributors mark $<$audio,transcript$>$ pairs as being either correct (up-vote) or incorrect (down-vote).
The data presented in this paper was collected and validated via Mozilla's Common Voice initiative. Using either the Common Voice website or iPhone app, contributors record their voice by reading sentences displayed on the screen (see Figure (FIGREF5)). The recordings are later verified by other contributors using a simple voting system. Shown in Figure (FIGREF6), this validation interface has contributors mark $<$audio,transcript$>$ pairs as being either correct (up-vote) or incorrect (down-vote).
Answer: The answers are shown as follows:
* the Common Voice website
*  iPhone app
Question: How much is performance hurt when using too small amount of layers in encoder?
Evidence: The number of layers ($N_{src}$-$N_{mt}$-$N_{pe}$) in all encoders and the decoder for these results is fixed to 6-6-6. In Exp. 5.1, and 5.2 in Table TABREF5, we see the results of changing this setting to 6-6-4 and 6-4-6. This can be compared to the results of Exp. 2.3, since no fine-tuning or ensembling was performed for these three experiments. Exp. 5.1 shows that decreasing the number of layers on the decoder side does not hurt the performance. In fact, in the case of test2016, we got some improvement, while for test2017, the scores got slightly worse. In contrast, reducing the $enc_{src \rightarrow mt}$ encoder block's depth (Exp. 5.2) does indeed reduce the performance for all four scores, showing the importance of this second encoder.
FLOAT SELECTED: Table 1: Evaluation results on the WMT APE test set 2016, and test set 2017 for the PBSMT task; (±X) value is the improvement over wmt18smtbest (x4). The last section of the table shows the impact of increasing and decreasing the depth of the encoders and the decoder.
Exp. 5.1 shows that decreasing the number of layers on the decoder side does not hurt the performance. In fact, in the case of test2016, we got some improvement, while for test2017, the scores got slightly worse. In contrast, reducing the $enc_{src \rightarrow mt}$ encoder block's depth (Exp. 5.2) does indeed reduce the performance for all four scores, showing the importance of this second encoder.
FLOAT SELECTED: Table 1: Evaluation results on the WMT APE test set 2016, and test set 2017 for the PBSMT task; (±X) value is the improvement over wmt18smtbest (x4). The last section of the table shows the impact of increasing and decreasing the depth of the encoders and the decoder.
Answer: comparing to the results from reducing the number of layers in the decoder, the BLEU score was 69.93 which is less than 1% in case of test2016 and in case of test2017 it was less by 0.2 %. In terms of TER it had higher score by 0.7 in case of test2016 and 0.1 in case of test2017.
Question: What are all the positions in hockey?
Answer: In hockey there are six distinct positions for players: center, left wing, right wing, left defense, right defense, and goalkeeper.
Question: Which matching features do they employ?
Evidence: In this paper, we propose the MIMN model for NLI task. Our model introduces a multi-turns inference mechanism to process multi-perspective matching features. Furthermore, the model employs the memory mechanism to carry proceeding inference information. In each turn, the inference is based on the current matching feature and previous memory. Experimental results on SNLI dataset show that the MIMN model is on par with the state-of-the-art models. Moreover, our model achieves new state-of-the-art results on the MPE and the SCITAL datasets. Experimental results prove that the MIMN model can extract important information from multiple premises for the final judgment. And the model is good at handling the relationships of entailment and contradiction.
Our model introduces a multi-turns inference mechanism to process multi-perspective matching features. 
Answer: Matching features from matching sentences from various perspectives.
Question: What type of morphological information is contained in the "morphology table"?
Evidence: In order to address the aforementioned problems we redesign the neural decoder in three different scenarios. In the first scenario we equip the decoder with an additional morphology table including target-side affixes. We place an attention module on top of the table which is controlled by the decoder. At each step, as the decoder samples a character, it searches the table to find the most relevant information which can enrich its state. Signals sent from the table can be interpreted as additional constraints. In the second scenario we share the decoder between two output channels. The first one samples the target character and the other one predicts the morphological annotation of the character. This multi-tasking approach forces the decoder to send morphology-aware information to the final layer which results in better predictions. In the third scenario we combine these two models. Section "Proposed Architecture" provides more details on our models.
In the first scenario we equip the decoder with an additional morphology table including target-side affixes.
Answer: The answers are shown as follows:
* target-side affixes
Question: Which of the following are cities in Australia: Sydney, Melbourne, Adelaide, Perth, Canberra, Rio de Janeiro, Beijing, Shanghai, New York, Singapore, Germany, United States, Tokyo
Answer: Cities in Australia include Sydney, Melbourne, Adelaide, Perth, Canberra.

However Rio de Janeiro is not in Australia, but in Brazil.
Beijing, Shanghai are not in Australia as well, there are in China.
Singapore, Germany, United States are not cities, they are countries. Even Singapore is both a country and its only city.
New York is in United States.
And Tokyo is in Japan.
Question: What are some countries I could go backpacking in if I want to see the Alps?
Answer: Switzerland, France, Italy, Slovenia, Austria, Germany
Question: What role did barrels of benzol play in the explosion of the Mont-Blanc?
Evidence: On the morning of 6 December 1917, the French cargo ship SS Mont-Blanc collided with the Norwegian vessel SS Imo in the waters of Halifax, Nova Scotia, Canada. The Mont-Blanc, laden with high explosives, caught fire and exploded, devastating the Richmond district of Halifax. At least 1,782 people were killed, largely in Halifax and Dartmouth, by the blast, debris, fires, or collapsed buildings, and an estimated 9,000 others were injured. The blast was the largest human-made explosion at the time. It released the equivalent energy of roughly 2.9 kilotons of TNT (12 TJ).

Mont-Blanc was under orders from the French government to carry her cargo from New York City via Halifax to Bordeaux, France. At roughly 8:45 am, she collided at low speed, approximately one knot (1.2 mph or 1.9 km/h), with the unladen Imo, chartered by the Commission for Relief in Belgium to pick up a cargo of relief supplies in New York. On the Mont-Blanc, the impact damaged benzol barrels stored on deck, leaking vapours which were ignited by sparks from the collision, setting off a fire on board that quickly grew out of control. Approximately 20 minutes later at 9:04:35 am, the Mont-Blanc exploded.
Answer: The impact of the SS Mont-Blanc and the SS Imo damaged barrels of benzol which were stored on the deck of the Mont-Blanc.  The damaged barrels leaked vapours which were ignited by sparks which set off a fire.
Question: Tell me five ways to build relationships with my neighbors.
Answer: There are several ways to build relationships and connections with your neighbors. Before proactively taking action to grow the relationship it is essential you first ensure you uphold exceptional neighborly behavior. For example, ensuring loud noises like vacuuming is done during day time and making an effort to upkeep your outdoor space to uplift the shared spaces of your homes. A thoughtful and polite neighbor is more likely to befriend those living around them. There are some ways to build relationships. First, ensure you greet your neighbor with a friendly gesture, such as a wave or a brief verbal greeting, every time you see them. Second, keep a watchful eye for the opportunity to do something friendly for your neighbor. For example, offer to help them if you see them attempting to carry a heavy item. Third, identify a proactive, planned gesture such as offering them a baked sweet around a holiday. Fourth, seek the opportunity to ask them about something they care about. For example, inquire how their work is going or a recent family event they may have mentioned. Fifth, invite them to your home for a meal. There are many ways to build a neighborly relationship and through a combination of these five suggestions, it is likely you will be off to a great start!
Question: When was Super Mario Kart launched?
Evidence: The series was launched in 1992 with Super Mario Kart on the Super Nintendo Entertainment System, to critical and commercial success. The Mario Kart series totals fourteen games, with six on home consoles, three on handheld consoles, four arcade games co-developed with Namco, and one for mobile phones. The latest game in the series, Mario Kart Live: Home Circuit, was released on the Nintendo Switch in October 2020. Over 164.43 million copies in the series have been sold worldwide.
Answer: Super Mario Kart was launched in 1992 on the Super Nintendo Entertainment System
Question: From the passage provided, extract the GSDP of Andhra Pradesh
Evidence: Andhra Pradesh comprises three major regions namely Rayalaseema in the south-west, Coastal Andhra bordering the Bay of Bengal in the east and Uttarandhra at north-east. The state has 26 districts, 6 in Uttarandhra, 12 in Coastal Andhra and 8 in Rayalaseema. The state also borders a union territory, Yanam – a district of Puducherry, which lies to the south of Kakinada in the Godavari delta on the eastern side of the state. The economy of Andhra Pradesh is the 8th largest in India, with a gross state domestic product (GSDP) of ₹8.84 trillion (US$110 billion) and has the country's 17th-highest GSDP per capita of ₹170,000 (US$2,100). Andhra Pradesh ranks 27th among Indian states in Human Development Index (HDI). It has a jurisdiction over almost 15,000 square kilometres (5,800 sq mi) of territorial waters.
Answer: GSDP of Andhra Pradesh is US$110 billion
Question: Is there superiority of DWE in capturing the morphological information of Chinese?
Evidence: Word embeddings are fixed-length vector representations for words BIBREF0 , BIBREF1 . In recent years, the morphology of words is drawing more and more attention BIBREF2 , especially for Chinese whose writing system is based on logograms.
UTF8gbsn With the gradual exploration of the semantic features of Chinese, scholars have found that not only words and characters are important semantic carriers, but also stroke feature of Chinese characters is crucial for inferring semantics BIBREF3 . Actually, a Chinese word usually consists of several characters, and each character can be further decomposed into a stroke sequence which is certain and changeless, and this kind of stroke sequence is very similar to the construction of English words. In Chinese, a particular sequence of strokes can reflect the inherent semantics. As shown in the upper half of Figure FIGREF3 , the Chinese character “驾" (drive) can be decomposed into a sequence of eight strokes, where the last three strokes together correspond to a root character “马" (horse) similar to the root “clar" of English word “declare" and “clarify".
Moreover, Chinese is a language originated from Oracle Bone Inscriptions (a kind of hieroglyphics). Its character glyphs have a spatial structure similar to graphs which can convey abundant semantics BIBREF4 . Additionally, the critical reason why Chinese characters are so rich in morphological information is that they are composed of basic strokes in a 2-D spatial order. However, different spatial configurations of strokes may lead to different semantics. As shown in the lower half of Figure 1, three Chinese characters “入" (enter), “八" (eight) and “人" (man) share exactly a common stroke sequence, but they have completely different semantics because of their different spatial configurations.
In addition, some biological investigations have confirmed that there are actually two processing channels for Chinese language. Specifically, Chinese readers not only activate the left brain which is a dominant hemisphere in processing alphabetic languages BIBREF5 , BIBREF6 , BIBREF7 , but also activate the areas of the right brain that are responsible for image processing and spatial information at the same time BIBREF8 . Therefore, we argue that the morphological information of characters in Chinese consists of two parts, i.e., the sequential information hidden in root-like strokes order, and the spatial information hidden in graph-like character glyphs. Along this line, we propose a novel Dual-channel Word Embedding (DWE) model for Chinese to realize the joint learning of sequential and spatial information in characters. Finally, we evaluate DWE on two representative tasks, where the experimental results exactly validate the superiority of DWE in capturing the morphological information of Chinese.
Finally, we evaluate DWE on two representative tasks, where the experimental results exactly validate the superiority of DWE in capturing the morphological information of Chinese.
Answer: Yes, there is.
Question: What is genomic medicine?
Answer: Next-generation genomic technologies allow clinicians and biomedical researchers to drastically increase the amount of genomic data collected on large study populations.[When combined with new informatics approaches that integrate many kinds of data with genomic data in disease research, this allows researchers to better understand the genetic bases of drug response and disease. Early efforts to apply the genome to medicine included those by a Stanford team led by Euan Ashley who developed the first tools for the medical interpretation of a human genome. The Genomes2People research program at Brigham and Women’s Hospital, Broad Institute and Harvard Medical School was established in 2012 to conduct empirical research in translating genomics into health. Brigham and Women's Hospital opened a Preventive Genomics Clinic in August 2019, with Massachusetts General Hospital following a month later. The All of Us research program aims to collect genome sequence data from 1 million participants to become a critical component of the precision medicine research platform.
Question: What is a "frunk" in an electric vehicle?
Answer: The frunk is the front trunk, which in an electric vehicle is typically used as additional storage space.
Question: What is the current world population? Is it growing?
Answer: In 2022 the world's population hit eight billion. But the number of people on earth will likely top out during this century. Population growth has been steady over past few decades, with billion person marks coming every dozen years or so. But the pattern is changing. Growth is beginning to slow and experts predict worlds population will top out sometime in 2080's at about 11 billion.
Question: Given the reference text below, what is Isthmohyla debilis?
Evidence: Isthmohyla debilis is a rare species of frog in the family Hylidae. It occurs in the Atlantic slopes of the Cordillera Central and Cordillera Talamanca in Costa Rica and western Panama as well as on the Pacific slopes in southwestern Panama. Common name Isla Bonita treefrog has been suggested for it (the type locality is "Isla Bonita" in Costa Rica).
Answer: Isthmohyla debilis is a rare species of Frog that is found in Costa Rica and Panama.
Question: Tell me about the Cincinnati Bengals
Answer: The Cincinnati Bengals are in the National Football League (NFL) , and as of 2023, are one of the best teams in the league.  They've made the Super Bowl and the AFC title game in the last 2 years, respectively.  The team is led by the best quarterback in the NFL, Joe Burrow, former #1 overall NFL draft pick and Heisman Trophy winner from Louisiana State University.  The Bengals are expected to win multiple Super Bowls as long as Joe Burrow is the quarterback.
Question: Which actor is common to Magnificent 7 and Dirty Dozen
Answer: Charles Bronson
Question: What types of ritual use Ayahuasca?
Evidence: Ayahuasca[note 1] is a South American psychoactive and entheogenic brewed drink traditionally used both socially and as a ceremonial or shamanic spiritual medicine among the indigenous peoples of the Amazon basin, and more recently in North America and Europe. The tea causes altered states of consciousness often known as "psychedelic experiences" which include visual hallucinations and altered perceptions of reality.
Answer: Ayahuasca is used both socially and as a ceremonial or shamanic spiritual medicine
Question: When did Singapore achieve independence?
Answer: Singapore first achieved independence from British rule on 16 September 1963, through a merger with Malaya, North Borneo and Sarawak. However, due to racial tensions, Singapore was abruptly expelled from this union on 9 August 1965. This decision was made through a 126-0 vote for a constitutional amendment at the Parliament of Malaysia. Lee Kuan Yew, the first prime minister of Singapore, tearfully announced that Singapore had become an independent and sovereign state.