DataHammer/scimrc huggingface dataset:
Question: Are their corpus and software public?
Evidence: Our system, including software and corpus, is available as an open source project for free research purpose and we believe that it is a good baseline for the development and comparison of future Vietnamese SRL systems. We plan to integrate this tool to Vitk, an open-source toolkit for processing Vietnamese text, which contains fundamental processing tools and are readily scalable for processing very large text data.
Our system, including software and corpus, is available as an open source project for free research purpose and we believe that it is a good baseline for the development and comparison of future Vietnamese SRL systems. 
Answer: Yes.
Question: How are the topics embedded in the #MeToo tweets extracted?
Evidence: In order to understand the latent topics of those #MeToo tweets for college followers, we first utilize Latent Dirichlet Allocation (LDA) to label universal topics demonstrated by the users. We determine the optimal topic number by selecting the one with the highest coherence score. Since certain words frequently appear in those #MeToo tweets (e.g., sexual harassment, men, women, story, etc.), we transform our corpus using TF-IDF, a term-weighting scheme that discounts the influence of common terms.
In order to understand the latent topics of those #MeToo tweets for college followers, we first utilize Latent Dirichlet Allocation (LDA) to label universal topics demonstrated by the users.
Since certain words frequently appear in those #MeToo tweets (e.g., sexual harassment, men, women, story, etc.), we transform our corpus using TF-IDF, a term-weighting scheme that discounts the influence of common terms.
Answer: Using Latent Dirichlet Allocation on TF-IDF transformed from the corpus
Question: What is RBI?
Answer: The Reserve Bank of India, chiefly known as RBI, is India's central bank and regulatory body responsible for regulation of the Indian banking system. It is under the ownership of Ministry of Finance, Government of India. It is responsible for the control, issue and maintaining supply of the Indian rupee. 
It also manages the country's main payment systems and works to promote its economic development. Bharatiya Reserve Bank Note Mudran (BRBNM) is a specialised division of RBI through which it prints and mints Indian currency notes (INR) in four of its currency printing presses located in Nashik (Maharashtra; Western India), Dewas (Madhya Pradesh; Central India), Mysore (Karnataka; Southern India) and Salboni (West Bengal; Eastern India). 
The RBI established the National Payments Corporation of India as one of its specialised division to regulate the payment and settlement systems in India. Deposit Insurance and Credit Guarantee Corporation was established by RBI as one of its specialised division for the purpose of providing insurance of deposits and guaranteeing of credit facilities to all Indian banks.
Question: Which characters belong to DC or Marvel Universe? Lex Luthor, Doctor Doom
Answer: Doctor Doom is Marvel, Lex Luthor is DC
Question: Where has Alice Twemlow been a guest critic?
Evidence: Alice Twemlow is a writer, critic and educator from the United Kingdom whose work focuses on graphic design. She has been a guest critic at the Yale University School of Art, Maryland Institute College of Art (MICA), and Rhode Island School of Design (RISD). In 2006, the School of Visual Arts (SVA) in New York named Twemlow the chair and co-founder of its Master of Fine Arts in Design Criticism (D-Crit). According to her SVA biography: "Alice Twemlow writes for Eye, Design Issues, I.D., Print, New York magazine and The Architect’s Newspaper."  Twemlow is also a contributor to the online publication Voice: AIGA Journal of Design. In 2012 Core77 selected her as a jury captain for the “Design Writing and Commentary” category of the Core77 Design Awards. Twemlow was head of the MA in Design Curating & Writing at Design Academy Eindhoven, 2017-2018, and is now Lector Design at the Royal Academy of Fine Arts (KABK) in The Hague, and Associate Professor at Leiden University.
Answer: At the Yale University School of Art, the Maryland Institute College of Art, and the Rhode Island School of Design.
Question: How many conversations does the assignment consist of?
Evidence: After we collected the conversations from both Reddit and Gab, we presented this data to Mechanical Turk workers to label and create intervention suggestions. In order not to over-burden the workers, we filtered out conversations consisting of more than 20 comments. Each assignment consists of 5 conversations. For Reddit, we also present the title and content of the corresponding submission in order to give workers more information about the topic and context. For each conversation, a worker is asked to answer two questions:

Q1: Which posts or comments in this conversation are hate speech?
Q2: If there exists hate speech in the conversation, how would you respond to intervene? Write down a response that can probably hold it back (word limit: 140 characters).
If the worker thinks no hate speech exists in the conversation, then the answers to both questions are “n/a”. To provide context, the definition of hate speech from Facebook: “We define hate speech as a direct attack on people based on what we call protected characteristics — race, ethnicity, national origin, religious affiliation, sexual orientation, caste, sex, gender, gender identity, and serious disease or disability.” is presented to the workers. Also, to prevent workers from using hate speech in the response or writing responses that are too general, such as “Please do not say that”, we provide additional instructions and rejected examples.
Each assignment consists of 5 conversations.
Answer: Each assignment consists of 5 conversations.
Question: Given this information about Vietnam, which country does it share its northern border with?
Evidence: Vietnam or Viet Nam[n 3] (commonly abbreviated VN; Vietnamese: Việt Nam, [vîət nāːm] (listen)), officially the Socialist Republic of Vietnam (SRV),[n 4] is a country in Southeast Asia. It is located at the eastern edge of mainland Southeast Asia, with an area of 331,212 square kilometres (127,882 sq mi) and population of 99 million, making it the world's fifteenth-most populous country. Vietnam borders China to the north, and Laos and Cambodia to the west. It shares maritime borders with Thailand through the Gulf of Thailand, and the Philippines, Indonesia, and Malaysia through the South China Sea. Its capital is Hanoi and its largest city is Ho Chi Minh City (commonly referred to by its former name, Saigon).
Answer: China
Question: Classify each of the following as either round or square shape: wheel, paper napkin, building block, ring, coin, ball, grid, bread, bubble, dice, hula hoop, window, stamp, earth, crossword, tambourine, bagel, keyboard key, cube, letter O.
Answer: Objects that have circular (round) shape include: bagel, ball, bubble, coin, earth, hula hoop, letter O, ring, tambourine, wheel.
Objects that have square shape include: bread, building blocks, crossword, cube, dice, grid, keyboard key, paper napkin, stamp, window.
Question: How much speech data do they use?
Evidence: Our speech corpus consists of approximately 3000 hours of speech data including various domains and speaking styles. The data is augmented with noise and room impulse respond to increase the quantity and prevent over-fitting.
Our speech corpus consists of approximately 3000 hours of speech data including various domains and speaking styles.
Answer: Approximately 3000 hours
Question: What kind of encoders are used for the parsed source sentence?
Evidence: We propose a multi-source framework for injecting linearized source parses into NMT. This model consists of two identical RNN encoders with no shared parameters, as well as a standard RNN decoder. For each target sentence, two versions of the source sentence are used: the sequential (standard) version and the linearized parse (lexicalized or unlexicalized). Each of these is encoded simultaneously using the encoders; the encodings are then combined and used as input to the decoder. We combine the source encodings using the hierarchical attention combination proposed by libovicky2017attention. This consists of a separate attention mechanism for each encoder; these are then combined using an additional attention mechanism over the two separate context vectors. This multi-source method is thus able to combine the advantages of both standard RNN-based encodings and syntactic encodings.
This model consists of two identical RNN encoders with no shared parameters, as well as a standard RNN decoder. For each target sentence, two versions of the source sentence are used: the sequential (standard) version and the linearized parse (lexicalized or unlexicalized).
Answer: The answers are shown as follows:
* RNN encoders
Question: Which of these is an electronic device? Ipad, TV, Rock, Laptop, Tree.
Answer: Sure. Ipad, TV, and Laptop are all electronic devices.
Question: Can planets in the Solar System be seen with the naked eye?
Answer: Yes, under the correct weather conditions, Mercury, Venus, Mars, Saturn and Jupiter can be seen with the naked eye. Other planets in the Solar System can only be observed with strong telescopes. Venus is the third brightest object in the sky and can be seen usually during twilight.
Question: What movies made Seattle famous in the 1990s?
Answer: Three films were iconic and set in Seattle in the 1990s.  Sleepless in Seattle (1993), Singles (1992) & Reality Bites (1994)
Question: Which continent does the following countries belong to: USA, Sweden, China, Taiwan, Japan, Germany, Great Britain, Canada, Peru, Chile
Answer: USA belongs to the continent North America, Sweden belongs to the continent Europe, China belongs to the. continent Asia, Taiwan belongs to the continent Asia, Japan is in Asia, Germany is in Europe, Great Britain is in Europe, Canada resides in the continent North America, Peru resides in the continent South America Chile is in South America.
Question: Classify each of the following as part of the upper or lower body: arm, toe, finger, ankle, elbow, chin, chest, shin
Answer: Arm: Upper Body
Toe: Lower Body
Finger: Upper Body
Ankle: Lower Body
Elbow: Upper Body
Chin: Upper Body
Chest: Upper Body
Shin: Lower Body
Question: What different properties of the posterior distribution are explored in the paper?
Evidence: We conduct various experiments to illustrate the properties that are encouraged via different KL magnitudes. In particular, we revisit the interdependence between rate and distortion, and shed light on the impact of KL on the sharpness of the approximated posteriors. Then, through a set of qualitative and quantitative experiments for text generation, we demonstrate how certain generative behaviours could be imposed on VAEs via a range of maximum channel capacities. Finally, we run some experiments to find if any form of syntactic information is encoded in the latent space. For all experiments, we use the objective function of eqn. DISPLAY_FORM6 with $\beta =1$. We do not use larger $\beta $s because the constraint $\text{KL}=C$ is always satisfied.
We conduct various experiments to illustrate the properties that are encouraged via different KL magnitudes. In particular, we revisit the interdependence between rate and distortion, and shed light on the impact of KL on the sharpness of the approximated posteriors. Then, through a set of qualitative and quantitative experiments for text generation, we demonstrate how certain generative behaviours could be imposed on VAEs via a range of maximum channel capacities. Finally, we run some experiments to find if any form of syntactic information is encoded in the latent space.
Answer: The answers are shown as follows:
* interdependence between rate and distortion
* impact of KL on the sharpness of the approximated posteriors
* demonstrate how certain generative behaviours could be imposed on VAEs via a range of maximum channel capacities
* some experiments to find if any form of syntactic information is encoded in the latent space
Question: How much does the approach improve LR's accuracy?
Evidence: Table TABREF26 reports the evaluation of our approach on both the CyberAttack and PoliticianDeath event categories. Our approach is configured such that each iteration starts with 1 new keyword discovered in the previous iteration.
Our approach improves LR by 5.17% (Accuracy) and 18.38% (AUC), and MLP by 10.71% (Accuracy) and 30.27% (AUC) on average. Such significant improvements clearly demonstrate that our approach is effective at improving model performance. We observe that the target models generally converge between the 7th and 9th iteration on both datasets when performance is measured by AUC. The performance can slightly degrade when the models are further trained for more iterations on both datasets. This is likely due to the fact that over time, the newly discovered keywords entail lower novel information for model training. For instance, for the CyberAttack dataset the new keyword in the 9th iteration `election' frequently co-occurs with the keyword `russia' in the 5th iteration (in microposts that connect Russian hackers with US elections), thus bringing limited new information for improving the model performance. As a side remark, we note that the models converge faster when performance is measured by accuracy. Such a comparison result confirms the difference between the metrics and shows the necessity for more keywords to discriminate event-related microposts from non event-related ones.
Our approach improves LR by 5.17% (Accuracy) and 18.38% (AUC), and MLP by 10.71% (Accuracy) and 30.27% (AUC) on average.
Answer: 5.17%.
Question: List five titles by Veronica Roth.
Answer: Divergent, Allegiant, Insurgent, Carve the Mark, Chosen Ones
Question: Identify which instrument is string or percussion: Celesta, Masenqo
Answer: Masenqo is string, Celesta is percussion.
Question: What is the fastest point of sail?
Answer: The fastest point of sail on a traditional sailing vessel is the beam reach.
Question: Is Parsenn nice for skiing
Evidence: Parsenn is a ski area near Davos, Switzerland, offering 35 ski runs.

The Parsenn area is the largest and most modern of Davos' five mountains.

The recently updated Parsenn "red railway" funicular covers the difference of 1,100 metres (3,609 ft) up to the Weissfluhjoch ridge. One can also get from Klosters to Gotschna/Parsenn with a large cable car which runs from here run up to 17 kilometres (10.6 mi) into the Prättigau valley.
Answer: Parsenn is a ski area near Davos, Switzerland, offering 35 ski runs. The Parsenn area is the largest and most modern of Davos' five mountains and is considered as very nice.
Question: Why is it so rare to see a unseeded tennis player win a grand slam?
Answer: To raise a grand slam trophy, a player has to win 7 consecutive best of 5 set matches and in all likelihood against several top 10 players. Tennis is considered to be a demanding sport both physically and mentally. The players have to be in top shape and be ready to duel out many tough 5 set matches during the course of the slam.  During grand slam matches, players can run anywhere from 3 to 4 miles with most of the movement being lateral. The top players have the distinct advantage that they have large support staff including dedicated physios and massage therapists who can get the player ready for subsequent matches. Besides, the top players have coaches who may have themselves won slams, and thus carry a wealth of experience. Sometimes players also enlist the services of data analysts who can do opponent video/data analysis to determine patterns/preferences of opponents. Such massive support staff carry a lot of payroll that most unseeded players cannot afford. For this reason, though at times we see a qualifier make it through to later stages of a slam, they will rarely ever get past quarter finals let alone win a grand slam.
Question: Classify these Indian cities into states that they are in.
Hyderabad, Kolkata, Purulia, Medak, Warangal, Darjeeling
Answer: West Bengal - Kolkata, Purulia, Darjeeling
Telengana - Hyderabad, Medak, Warangal
Question: What is the difference between AWS ECS and EKS?
Answer: ECS is a scalable container orchestration platform that allows users to run, stop, and manage containers in a cluster. EKS, on the other hand, helps teams to build Kubernetes clusters on AWS without having to install Kubernetes on EC2 compute instances manually.
Question: Describe some different ways to stop your car from being stolen?
Answer: Here are some suggestions to reduce the chances of your car being stolen. Firstly, you can always try to park the car in a secure location, secondly security items such as steering wheel locks are known to help reduce the chance of car theft. Lastly, you can also install a car alarm system, and if that is too expensive or difficult to retrofit, there are companies who sell the security stickers for cars that state that the car has GPS tracking, which may also deter a potential car thief.
Question: Based on the reference text, who were the main parties who supported and opposed Prop 22?
Evidence: 2020 California Proposition 22

Support
Lyft, Uber, DoorDash, Instacart, and Postmates contributed over $205 million into campaigns supporting Prop 22, making it the most expensive ballot measure in California's history. This included major funding for the Yes on Prop 22 campaign, and promoting the proposed legislation directly to customers when using their app. Beyond in-app messaging, Uber and Lyft also conducted extensive social media and television advertising to persuade voters. Such advertisements informed voters that a "no" outcome for the proposition would put many drivers' occupations in jeopardy, among other messages.

Sponsored support
Some of the companies also forced their workers to support and promote the legislation: Uber sent its drivers in-app messages forcing them to click on either "Yes on Prop 22" or "OK", Instacart ordered its workers to place pro-Prop 22 stickers in customers' shopping bags, and DoorDash forced delivery drivers to use bags saying "Yes on 22".

Title litigation
The ballot title, written by Attorney General Xavier Becerra, is "Exempts App-Based Transportation and Delivery Companies from Providing Employee Benefits to Certain Drivers. Initiative Statute". The Yes on Prop 22 campaign challenged this description as non-neutral in court, but their arguments were rejected by a Sacramento Superior Court judge.

Opposition
The No on Prop 22 campaign was funded by the California Labor Federation, with support from UC Berkeley Labor Center. The campaign received around $19 million in support, mostly from labor groups. Driver groups Rideshare Drivers United, Gig Workers Rising, We Drive Progress, and Mobile Workers United, spoke out against Prop 22. Editorial boards from the New York Times and Los Angeles Times also called on voters to reject Prop 22.

The proposition would add protections specific to app-based workers, different from other independent contractors, but these protections would only apply during the time the worker is "engaged" in fulfilling a specific request and not while the worker is logged in to the app and available to fulfill a request.
Answer: The main parties to support Prop 22 included Lyft, Uber, Doordash, Instacart, and Postmates. The main parties to oppose Prop 22 included California Labor Federation, Rideshare Drivers United, Gig Workers Rising, We Drive Progress, and Mobile Workers United.
Question: Which of these famous football players have never won the Balon D'Or: Messi, Xavi, Zidane, Ronaldinho, Iniesta, Neymar
Answer: From the list of players provided the ones that have never won the Balon D'Or are Xavi, Iniesta and Neymar. All the other players in the list have won the Balon D'Or at least one time
Question: What is elite shungite?
Answer: Elite shungite is a rare stone that comes from the Karelia region of Russia.  There is no place in the world other than Russia where you can source this stone.  It is around 2 billion years old.  It is a a rare positive stone and is one of the only known natural materials known to contain fullerenes.  Fullerenes are are powerful antioxidants. When these fullerenes get into our body its one of the best ways to fight free radicals.
Question: Tell me whether these people are chess Grandmasters or professional boxers: Nikolai Krogius, Evgeny Gleizerov, Dmitry Bivol, Nikolai Valuev, and Alexander Alekhine.
Answer: Nikolai Krogius, Evgeny Gleizerov and Alexander Alekhine are chess Grandmasters. Instead, Dmitry Bivol and Nikolai Valuev are professional boxers.
Question: What annotations are available in the dataset - tweat used hate speach or not?
Evidence: We annotate the gathered tweets using the crowdsourcing platform Amazon Mechanical Turk. There, we give the workers the definition of hate speech and show some examples to make the task clearer. We then show the tweet text and image and we ask them to classify it in one of 6 categories: No attacks to any community, racist, sexist, homophobic, religion based attacks or attacks to other communities. Each one of the $150,000$ tweets is labeled by 3 different workers to palliate discrepancies among workers.
We then show the tweet text and image and we ask them to classify it in one of 6 categories: No attacks to any community, racist, sexist, homophobic, religion based attacks or attacks to other communities.
Answer: The answers are shown as follows:
* No attacks to any community
*  racist
* sexist
* homophobic
* religion based attacks
* attacks to other communities
Question: Why are dogs generally more popular than cats as pets?
Answer: Although dogs generally seem to require more time and attention, they maintain their place as number 1 pet in the majority of countries. For example, statistics have shown that over 74% of US pet owners have a dog, in comparison with 47% owning a cat. 
The reason for their popularity has to come down to their personality. Commonly, dogs are very social and affectionate creatures who enjoy spending time with their owners. Whereas, cats tend to be more independent animals by nature, and although they also require the attention of their owner, the majority prefer to keep to themselves. This stereotypical difference in behaviour is usually the main factor determining the popularity of these pets among people.
Question: What is Bollywood
Answer: Bollywood is a movie industry based in Mumbai, India. It primarily makes movies in Hindi language. Since it was based in a city previously known as Bombay, a convenient moniker Bollywood resembling Hollywood is used to describe Hindi language film industry.
Question: Tell me three key things to do to drive a car faster on a track
Answer: Driving a car on a track can be an exhilarating experience, but there a few rules to keep in mind.  Here are three key things to remember:
1. Eyes up - Many drivers have a tendency to look directly at the end of the hood or at the next cone or apex.  Keep your eyes up and to be able to assess where you want to go.
2. Look where you want to go - Your hands on the steering wheel follow your eyes, so look where you want to go, not what you want to avoid or navigate.  For example. you should be looking at the exit of a turn as you enter the turn (or the apex if it's a wide turn)
3. Slow in, fast out - Cornering can be particularly tricky, because we tend to turn in too fast and too early, which can set up for a slow exit.  Brake hard, take it slow, and wait to turn into a corner to best position you and the car to accelerate swiftly out of the turn.
Question: Give me a list of the communes in Barolo DOCG
Answer: - Barolo
- La Morra
- Cherasco
- Verduno
- Roddi
- Grinzane Cavour
- Diano d'Alba
- Serralunga d'Alba
- Castiglione Falletto
- Monforte d'Alba
- Novello