DataHammer/scimrc huggingface dataset:
Question: What is a community structure in the study of complex networks?
Evidence: In the study of complex networks, a network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping) sets of nodes such that each set of nodes is densely connected internally. In the particular case of non-overlapping community finding, this implies that the network divides naturally into groups of nodes with dense connections internally and sparser connections between groups. But overlapping communities are also allowed. The more general definition is based on the principle that pairs of nodes are more likely to be connected if they are both members of the same community(ies), and less likely to be connected if they do not share communities. A related but different problem is community search, where the goal is to find a community that a certain vertex belongs to.
Answer: In the study of complex networks, a network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping) sets of nodes such that each set of nodes is densely connected internally.
Question: Which of the following cars are made by GM? Grand Cherokee, Blazer, F150, Bronco, Corvette
Answer: Blazer and Corvette
Question: What are some landlocked states?
Answer: Nebraska, Colorado, Indiana and Wisconsin are all landlocked.
Question: What are "VTubers"?
Answer: VTubers are short for "Virtual Youtubers". The first VTuber was "Kizuna AI", who was using a 3D avatar and acted in various funny short videos and claimed to be a "Super AI". In reality Kizuna AI was acted by Kasuga Nozomi, an voice actor, who also later revealed her identity in the Kizuna API project. The debut of Kizuna AI prompted more people to become VTubers, and there began a whole industry from drawing avatars (mostly anime characters), to making 2D (called Live2D) and 3D models, to companies that recruit and support talents that act as "VTubers". The VTuber industry boomed as the live streaming industry gained momentum, and in many cases, streamers find it more relaxing to use an avatar rather than showing their real faces, bringing in a new generation of streamers into the industry. Right now, some of the most famous female streamers are virtual youtubers, such as Gawr Gura from Hololive Productions.
Question: How many golf clubs can a player carry in their bag?
Answer: Per the PGA (Professional Golfers' Association), a player can carry up to 14 clubs in their bag.  There is no minimum number of clubs a player must carry.
Question: What is linux Bootloader
Evidence: A bootloader, also spelled as boot loader or called boot manager and bootstrap loader, is a computer program that is responsible for booting a computer.

When a computer is turned off, its software including operating systems, application code, and data‍—‌remains stored on non-volatile memory. When the computer is powered on, it typically does not have an operating system or its loader in random-access memory (RAM). The computer first executes a relatively small program stored in read-only memory (ROM, and later EEPROM, NOR flash) along with some needed data, to initialize RAM (especially on x86 systems), to access the nonvolatile device (usually block device, eg NAND flash) or devices from which the operating system programs and data can be loaded into RAM.

Some earlier computer systems, upon receiving a boot signal from a human operator or a peripheral device, may load a very small number of fixed instructions into memory at a specific location, initialize at least one CPU, and then point the CPU to the instructions and start their execution. These instructions typically start an input operation from some peripheral device (which may be switch-selectable by the operator). Other systems may send hardware commands directly to peripheral devices or I/O controllers that cause an extremely simple input operation (such as "read sector zero of the system device into memory starting at location 1000") to be carried out, effectively loading a small number of boot loader instructions into memory; a completion signal from the I/O device may then be used to start execution of the instructions by the CPU.

Smaller computers often use less flexible but more automatic boot loader mechanisms to ensure that the computer starts quickly and with a predetermined software configuration. In many desktop computers, for example, the bootstrapping process begins with the CPU executing software contained in ROM (for example, the BIOS of an IBM PC or an IBM PC compatible) at a predefined address (some CPUs, including the Intel x86 series are designed to execute this software after reset without outside help). This software contains rudimentary functionality to search for devices eligible to participate in booting, and load a small program from a special section (most commonly the boot sector) of the most promising device, typically starting at a fixed entry point such as the start of the sector.
Answer: A bootloader is a program written in machine code that loads the operating system into RAM during the boot process.
Question: Which of the following rivers are in India?
Answer: Ganges, Nile, Yamuna, Indus, Thames
Question: Identify which instrument is string or percussion: Flexatone, Ek Tare
Answer: Ek Tare is string, Flexatone is percussion.
Question: Which of the following are types of tea and which are types of coffee: chamomile, herbal, French roast, double latte, Earl grey, English breakfast, and a cappuccino.
Answer: The teas are chamomile, herbal, Earl grey, and English breakfast, and the coffees are French roast, double latte, and cappuccino.
Question: Classify the following as a 'Country', 'State' or 'City': California, Sacramento, Chicago, Singapore, New Delhi, London, Tennessee, New York
Answer: California: State
Sacramento: City 
Chicago: City
Singapore: Both Country and City
New Delhi: City
London: City
Tennessee: City
New York: Both State and City
Question: How can I better learn a new language?
Answer: Learning a language by using it is the most efficient way. Having a partner to practice not only help you work on your pronunciation and accent, it also incentivize you to keep practicing (similar to how having a gym buddy makes you go to the gym more often). 

Language are also meant to communicate. Allowing yourself for mistakes, whether it is an accent, bad conjugation would allow you to keep practicing and would result having a broader set of words and sentences you can use. From there correcting mistakes becomes easier as you naturally find relations between conjugation, forms etc.
Question: How is CNN injected into recurent units?
Evidence: In this paper, we propose three different types of CRU models: shallow fusion, deep fusion and deep-enhanced fusion, from the most fundamental one to the most expressive one. We will describe these models in detail in the following sections.
The most simple one is to directly apply a CNN layer after the embedding layer to obtain blended contextual representations. Then a GRU layer is applied afterward. We call this model as shallow fusion, because the CNN and RNN are applied linearly without changing inner architectures of both.
In this paper, we propose three different types of CRU models: shallow fusion, deep fusion and deep-enhanced fusion, from the most fundamental one to the most expressive one.
The most simple one is to directly apply a CNN layer after the embedding layer to obtain blended contextual representations. Then a GRU layer is applied afterward.
Answer: The answers are shown as follows:
* The most simple one is to directly apply a CNN layer after the embedding layer to obtain blended contextual representations. Then a GRU layer is applied afterward.
Question: What is a geoboard made of?
Evidence: A geoboard is a mathematical manipulative used to explore basic concepts in plane geometry such as perimeter, area and the characteristics of triangles and other polygons. It consists of a physical board with a certain number of nails half driven in, around which are wrapped geo bands that are made of rubber. Normal rubber bands can also be used. Geoboards were invented and popularized in the 1950s by Egyptian mathematician Caleb Gattegno (1911-1988).
Answer: A geoboard is made of a physical board, some nails, and geo bands that could be rubber bands.
Question: which datasets were used?
Evidence: Data collected by BIBREF3 , which we term the Sexist/Racist (SR) data set, was collected using an initial Twitter search followed by analysis and filtering by the authors and their team who identified 17 common phrases, hashtags, and users that were indicative of abusive speech. BIBREF4 collected the HATE dataset by searching for tweets using a lexicon provided by Hatebase.org. The final data set we used, which we call HAR, was collected by BIBREF9 ; we removed all retweets reducing the dataset to 20,000 tweets. Tweets were labeled as “Harrassing” or “Non-Harrassing”; hate speech was not explicitly labeled, but treated as an unlabeled subset of the broader “Harrassing” category BIBREF9 .
Data collected by BIBREF3 , which we term the Sexist/Racist (SR) data set, was collected using an initial Twitter search followed by analysis and filtering by the authors and their team who identified 17 common phrases, hashtags, and users that were indicative of abusive speech. BIBREF4 collected the HATE dataset by searching for tweets using a lexicon provided by Hatebase.org. The final data set we used, which we call HAR, was collected by BIBREF9 ; we removed all retweets reducing the dataset to 20,000 tweets.
Answer: The answers are shown as follows:
* Sexist/Racist (SR) data set
* HATE dataset
* HAR
Question: How is Japan written in Japanese?
Evidence: Japan (Japanese: 日本, Nippon or Nihon,[nb 1] and formally 日本国, Nihonkoku)[nb 2] is an island country in East Asia. It is situated in the northwest Pacific Ocean and is bordered on the west by the Sea of Japan, extending from the Sea of Okhotsk in the north toward the East China Sea, Philippine Sea, and Taiwan in the south. Japan is a part of the Ring of Fire, and spans an archipelago of 14,125 islands, with the five main islands being Hokkaido, Honshu (the "mainland"), Shikoku, Kyushu, and Okinawa. Tokyo is the nation's capital and largest city, followed by Yokohama, Osaka, Nagoya, Sapporo, Fukuoka, Kobe, and Kyoto.
Answer: Japan is written in Japanese as 日本.
Question: What intents does the paper explore?
Evidence: Our AV in-cabin data-set includes 30 hours of multimodal data collected from 30 passengers (15 female, 15 male) in 20 rides/sessions. 10 types of passenger intents are identified and annotated as: Set/Change Destination, Set/Change Route (including turn-by-turn instructions), Go Faster, Go Slower, Stop, Park, Pull Over, Drop Off, Open Door, and Other (turn music/radio on/off, open/close window/trunk, change AC/temp, show map, etc.). Relevant slots are identified and annotated as: Location, Position/Direction, Object, Time-Guidance, Person, Gesture/Gaze (this, that, over there, etc.), and None. In addition to utterance-level intent types and their slots, word-level intent keywords are annotated as Intent as well. We obtained 1260 unique utterances having commands to AMIE from our in-cabin data-set. We expanded this data-set via Amazon Mechanical Turk and ended up with 3347 utterances having intents. The annotations for intents and slots are obtained on the transcribed utterances by majority voting of 3 annotators.
Our AV in-cabin data-set includes 30 hours of multimodal data collected from 30 passengers (15 female, 15 male) in 20 rides/sessions. 10 types of passenger intents are identified and annotated as: Set/Change Destination, Set/Change Route (including turn-by-turn instructions), Go Faster, Go Slower, Stop, Park, Pull Over, Drop Off, Open Door, and Other (turn music/radio on/off, open/close window/trunk, change AC/temp, show map, etc.). Relevant slots are identified and annotated as: Location, Position/Direction, Object, Time-Guidance, Person, Gesture/Gaze (this, that, over there, etc.), and None. In addition to utterance-level intent types and their slots, word-level intent keywords are annotated as Intent as well. 
Answer: The answers are shown as follows:
* Set/Change Destination
* Set/Change Route
* Go Faster
* Go Slower
* Stop
* Park
* Pull Over
* Drop Off
* Open Door
* Other
Question: Which of the following are not real seasons of Survivor (specifically, the US version)?
- Borneo
- Champions vs Contenders
- Champions vs Contenders II
- Micronesia
- U.S.
- Hawaii
- China
- All Stars
- 44
- Heroes vs. Healers vs. Hustlers
- Celebrity
- Ghost Island
- Blood vs Water
- Washington
Answer: Champions vs Contenders, Champions vs Contenders II, US, Hawaii, Celebrity, and Washington are not seasons of the the U.S. versions of Survivor.

Champions vs Contenders and Champions vs Contenders II are however seasons of the Australian version of the show.
Question: Where is the Kilo railway station
Evidence: Kilo is a station on the VR commuter rail network on the Rantarata line located in Kilo, a district of the city of Espoo in Finland. It is situated between Leppävaara railway station and Kera railway station, approximately 13 kilometres (8.1 mi) northwest/west of Helsinki Central railway station.
Answer: Kilo is a station on the VR commuter rail network on the Rantarata line located in Kilo, a district of the city of Espoo in Finland. It is situated between Leppavaara railway station and Kera railway station, approximately 13 kilometres (8.1 mi) northwest/west of Helsinki Central railway station.
Question: What are the unethical behaviors in the corporate world? Illustrate with an example.
Answer: Boeing 737 Max 

 
Boeing is an American multinational company that manufactures aircraft, military equipment, rockets, missiles, and telecommunication equipment. The Boeing 737 series aircraft is the most popular commercial jet in the world. In March 2019 and December 2020, the Boeing 737 Max commercial jets belonging to Ethiopian and LION Air crashed, grounding the 737 Max jets. These incidents triggered the crisis at Boeing. 

The Boeing 737 Max crisis is a classic example of chained unethical behaviors exhibited by an organization and how one unethical behavior quickly led to another in an attempt to cover up the previous one. 

Motivated blindness 

Motivated blindness was the initial cause for the people involved in the 737 Max jet design. It started with Boeing’s chief technical test pilot, David Forkner, who repeatedly spotted erratic behavior on the jets MCAS (Maneuvering Characteristics Augmentation System). Despite egregious MCAS, David later urged FAA (Federal Aviation Authority) to remove the MCAS mentioned from the 737 Max instruction manual. Boeing management failed to overlook David ForKner’s and other faults and chose to remain ignorant. 

Indirect blindness 

Similarly, a lot is afoul with FAA. Months before the crash of 2 jets, Boeing had known about the issues and delayed the flight data submission to FAA. Despite the warnings from FAA, Boeing got away with it quickly. The indirect blindness of the FAA added insult to injury to the crisis. 

Slippery slope 

Boeing was on a slippery slope, and the downward spiral continued with David Forkner requesting FAA to remove the mentions of MCAS from the jet’s instruction manual. Another test pilot, Gustavsson, claimed that David Forkner kept him out of the loop. 
 
Overvaluing outcomes 

On the whole, Boeing was unaware of the looming crisis and, at every stage, was overvaluing the outcomes of getting the jet out of the production lines and getting it FAA-approved. 

Recommendations 

 The managers at Boeing must implement processes that root out conflicts of interest. For example, when David Forkner captured the erratic behavior of MCAS, the stringent process to capture test data and the data must be published to a governance board to resolve any conflict of interest. 

Similarly, for FAA-related transactions and interactions, the governance board must oversee whether the transactions might invite unethical behavior and take ownership of the implications. 

Boeing’s governance board must continuously monitor for trivial ethical infractions and address them immediately. It has to examine both “good” and “bad” decisions for their ethical implications.
Question: Which kind of data is easier to collect in an ASR system?
Evidence: Informal speech is different from formal speech, especially in Vietnamese due to many conjunctive words in this language. Building an ASR model to handle such kind of speech is particularly difficult due to the lack of training data and also cost for data collection. There are two components of an ASR system that contribute the most to the accuracy of it, an acoustic model and a language model. While collecting data for acoustic model is time-consuming and costly, language model data is much easier to collect.
The language model training for the Automatic Speech Recognition (ASR) system usually based on corpus crawled on formal text, so that some conjunctive words which often used in conversation will be missed out, leading to the system is getting biased to writing-style speech.
In this paper, we present our attempt to mitigate the problems using a large scale data set and a language model combination technique that only require a small amount of conversation data but can still handle very well conversation speech.
There are two components of an ASR system that contribute the most to the accuracy of it, an acoustic model and a language model. While collecting data for acoustic model is time-consuming and costly, language model data is much easier to collect.
Answer: Language model data.
Question: Where did Alexander Digeon fought
Answer: Alexander Elisabeth Michel vicomte Digeon, (27 June 1771 – 2 August 1826) fought in the French Revolutionary Wars in the cavalry. He became a general officer during the Napoleonic Wars, fighting in a number of important battles. After 1814, he gave his loyalty to the Bourbon Restoration and briefly served as Minister of War.
Question: What are the main discussions in this paper?
Evidence: The explosion of available scientific articles in the Biomedical domain has led to the rise of Biomedical Information Extraction (BioIE). BioIE systems aim to extract information from a wide spectrum of articles including medical literature, biological literature, electronic health records, etc. that can be used by clinicians and researchers in the field. Often the outputs of BioIE systems are used to assist in the creation of databases, or to suggest new paths for research. For example, a ranked list of interacting proteins that are extracted from biomedical literature, but are not present in existing databases, can allow researchers to make informed decisions about which protein/gene to study further. Interactions between drugs are necessary for clinicians who simultaneously administer multiple drugs to their patients. A database of diseases, treatments and tests is beneficial for doctors consulting in complicated medical cases.
The main problems in BioIE are similar to those in Information Extraction:
This paper discusses, in each section, various methods that have been adopted to solve the listed problems. Each section also highlights the difficulty of Information Extraction tasks in the biomedical domain.
This paper is intended as a primer to Biomedical Information Extraction for current NLP researchers. It aims to highlight the diversity of the various techniques from Information Extraction that have been applied in the Biomedical domain. The state of biomedical text mining is reviewed regularly. For more extensive surveys, consult BIBREF0 , BIBREF1 , BIBREF2 .
This paper discusses, in each section, various methods that have been adopted to solve the listed problems. Each section also highlights the difficulty of Information Extraction tasks in the biomedical domain.
Answer: This paper discusses, in each section, various methods that have been adopted to solve the listed problems. Each section also highlights the difficulty of Information Extraction tasks in the biomedical domain.
Question: What fraction of the space is infeasible? How do you prevent initial sampling to avoid these infeasible points?
Evidence: Discussion on data quality: In the cases of t-RNN Dec, t-RNN Enc, and U-Net, we find that the number of feasible points is much smaller compared to other applications, and we suspect this is because our random sampling procedure does not find enough feasible points. This is a limitation of our data collection strategy and we intentionally chose this naïve strategy to keep data collection simple. Other techniques for improving data collection and making sure that the data does not consist of only infeasible points includes strategies such as utilizing logged data from past runs of online evolutionary methods, mixed with some data collected via random sampling to improve coverage of the design space.  
Answer: We have added a discussion of this point in Appendix B.1, last bullet point (Page 23, “Discussion on data quality”). Exhaustive enumeration of the entire search space is intractable due to its large number of data points (more than 452M). Among our randomly sampled accelerator designs, on an average, ~71% of the data are infeasible. We agree that random sampling may only find points that are infeasible, which will not be sufficient to train our conservative surrogate, however, we used this scheme only for simplicity reasons. In such scenarios, more sophisticated schemes such as utilizing data from previous runs of an online optimization algorithm mixed with data collected from random sampling may be a better strategy. We have added this discussion in Appendix B.1, last bullet point.
Question: What are the best ways to reduce my carbon footprint?
Answer: There are multiple ways individuals can lower their carbon footprint. Reducing energy and water usage is one way to make an impact, which can be done by switching to energy-efficient appliances, turning off lights when not in use, and taking shorter showers.

Making changes to your transportation methods are another way to drastically reduce your emissions. Some ways to do this include carpooling, taking public transportation, biking and walking. 

Eating habits and diet are one other way to reduce your carbon footprint. Increasing consumption of plant-based foods and decreasing consumption of animal products such as meat, eggs, and dairy can make a significant impact. Examples of plant-based foods include fruits and vegetables, beans and lentils, seeds and nuts, whole grains and soy-based products.
Question: Best resorts in Maldives
Answer: 1. Discovery Soneva (Soneva fusi Soneva Jani)
2. Pullman Maldives
3. The Residence Dhigurah
Question: What is the best musical instrument to learn?
Answer: Piano. It is the kind of all musical instruments. With a tuned piano, even as a beginner, you can play simple and beautiful songs after learning it for a short amount of time. Playing piano is very good for brain development, especially from the intricate muscle movement from your fingers. Often studies have shown a positive correlation between high IQ and people who are good at playing piano. In some way, piano is designed in a very scientific way, since it is based on frequencies. You can also be very creative when playing piano. It is the best instrument to compose songs.