DataHammer/scimrc huggingface dataset:
Question: Extract the reason why the check clearing system was created
Evidence: Because some banks refused to clear checks from certain other banks during times of economic uncertainty, a check-clearing system was created in the Federal Reserve System. It is briefly described in The Federal Reserve System‍—‌Purposes and Functions as follows:

By creating the Federal Reserve System, Congress intended to eliminate the severe financial crises that had periodically swept the nation, especially the sort of financial panic that occurred in 1907. During that episode, payments were disrupted throughout the country because many banks and clearinghouses refused to clear checks drawn on certain other banks, a practice that contributed to the failure of otherwise solvent banks. To address these problems, Congress gave the Federal Reserve System the authority to establish a nationwide check-clearing system. The System, then, was to provide not only an elastic currency‍—‌that is, a currency that would expand or shrink in amount as economic conditions warranted‍—‌but also an efficient and equitable check-collection system.
Answer: During financial crises in early 20th century, some banks refused to clear checks drawn on certain other banks, a practice that contributed to the failure of otherwise solvent banks, which ultimately led to severe crises that swept the nation, therefore Congress gave the Federal Reserve System the authority to establish a nationwide check-clearing system to address such systematic issues.
Question: What is the Six Flags Great Escape Lodge
Evidence: Six Flags Great Escape Lodge & Indoor Waterpark is a resort and waterpark, located in Queensbury, New York that first opened in 2006. The resort is owned and operated by Six Flags.

History
The resort officially opened on February 7, 2006 and became the first one in the state of New York to feature an indoor waterpark. It features 200 rooms and a 38,000-square-foot water park called White Water Bay. The park is opened year-round and constant 80-degree water temperature. On the other side across US 9 is the Six Flags theme park, Great Escape. This is the second resort the company has built, the first being Lodge on the Lake next to Darien Lake that opened in 1998. In November 2012, it announced an annual event, Holiday in the Lodge, to celebrate Christmas.
Answer: Six Flags Great Escape Lodge & Indoor Waterpark is a resort and waterpark, located in Queensbury, New York that first opened in 2006. The resort is owned and operated by Six Flags.
Question: What game was the animated series Tank Knights Fortress based on?
Evidence: Fortress is a shooter video game developed by CCR Inc and published by Netsgo. The game spawned an animated series, Tank Knights Fortress, and a sequel, Fortress 2. On November 18, 2011, service for the game was terminated in South Korea and Japan.
Answer: Fortress.
Question: Based on this paragraph, during what year was Hearst born?
Evidence: Hearst died at the age of 70 in Washington, D.C., on February 28, 1891. The California Legislature and state courts adjourned so officials could attend his funeral. When Phoebe Apperson Hearst inherited her husband's wealth, she donated a great deal of it to help found new libraries at several universities. Hearst is buried in Cypress Lawn Cemetery in Colma, California. His widow and son were later buried there as well. The Hearst Memorial Mining Building on the Berkeley campus is dedicated to George Hearst. In 1996, he was inducted into the Hall of Great Westerners of the National Cowboy & Western Heritage Museum.
Answer: Hearst died at the age of 70 in 1891, so he must have been born in either 1820 or 1821.
Question: Give me a list of some excellent 5 VPN services
Answer: 1. Express VPN
2. Surfshark VPN
3. NordVPN
4. IPVanish VPN
5. CyberGhost
6. Proton VPN
7. PureVPN
Question: Sort these car brands and models into car types, either sedan, SUV, or sports car: Volkswagon Atlas, Porsche Boxter, Ford Mustang, Porsche Cayenne, Toyota Camry, Toyota Corolla, Dodge Durango, Chevrolet Camaro, Ford Explorer, Nissan Sentra, Porsche 911, Ford Escape, Chevrolet Equinox, Honda Pilot, Kia Telluride, Genesis G90, Honda Accord, Honda Civic, Kia Forte
Answer: The SUVs are: Volkswagon Atlas, Porsche Cayenne, Dodge Durango, Ford Explorer, Ford Escape, Chevrolet Equinox, Honda Pilot, Kia Telluride, and Genesis G90. The sports cars are: Porsche Boxter, Chevrolet Camaro, Porsche 911, and Ford Mustang. The sedans are: Toyota Camry, Toyota Corolla, Nissan Sentra, Honda Accord, Honda Civic, and Kia Forte.
Question: How many parts did O.J.: Made in America have, and could a documentary with the same length win an Oscar today?
Evidence: The winners were announced during the awards ceremony on February 26, 2017. Moonlight became the first film with an all-black cast and the first LGBT-themed film to win Best Picture. In an event unprecedented in the history of the Oscars, La La Land was incorrectly announced as the Best Picture, and, a few minutes later, the error was corrected and Moonlight was declared the winner. O.J.: Made in America, at 467 minutes, became the longest film to win an Academy Award, surpassing the 431-minute long War and Peace, which won the Academy Award for Best Foreign Language Film in 1969. Following the five-part documentary's win, new academy rules barred any "multi-part or limited series" from being eligible for documentary categories. With Casey Affleck winning the Oscar for Best Actor, he and his older brother, Ben Affleck, became the 16th pair of siblings to win Academy Awards. Mahershala Ali became the first Muslim actor to win an Oscar. Viola Davis became the first black person to achieve the Triple Crown of Acting with her Oscar, Emmy, and Tony wins.
Answer: O.J.: Made in America had 5 parts. Today, documentaries cannot be multi part, so a 5 part documentary could no longer win an Oscar.
Question: List the actors and actresses who were included in the cast of the movie Avengers: Endgame.
Evidence: Avengers: Endgame is a 2019 American superhero film based on the Marvel Comics superhero team the Avengers. Produced by Marvel Studios and distributed by Walt Disney Studios Motion Pictures, it is the direct sequel to Avengers: Infinity War (2018) and the 22nd film in the Marvel Cinematic Universe (MCU). Directed by Anthony and Joe Russo and written by Christopher Markus and Stephen McFeely, the film features an ensemble cast including Robert Downey Jr., Chris Evans, Mark Ruffalo, Chris Hemsworth, Scarlett Johansson, Jeremy Renner, Don Cheadle, Paul Rudd, Brie Larson, Karen Gillan, Danai Gurira, Benedict Wong, Jon Favreau, Bradley Cooper, Gwyneth Paltrow, and Josh Brolin. In the film, the surviving members of the Avengers and their allies attempt to reverse Thanos's actions in Infinity War.
Answer: Robert Downey Jr., Chris Evans, Mark Ruffalo, Chris Hemsworth, Scarlett Johansson, Jeremy Renner, Don Cheadle, Paul Rudd, Brie Larson, Karen Gillan, Danai Gurira, Benedict Wong, Jon Favreau, Bradley Cooper, Gwyneth Paltrow, and Josh Brolin.
Question: What is a block chain?
Answer: A block chain is in the most basic terms a ledger that is used for recording transactions in a network.  Some of the most popular block chains are etheryum, and bitcoin.  The idea when you purchase cryptocurrency is you make a new transaction in the blockchain and your transaction gets a copy of every single transaction prior to yours from the general ledger.  Everything is trackable this way and every token can be accounted for.  Nothing will ever get lost.
Question: There are two definitions currently used for subtropical cyclones depending on which two geographic locations?
Evidence: There are two definitions currently used for subtropical cyclones depending on their location. Across the north Atlantic and southwest Indian Ocean, they require some central convection fairly near the center surrounding a warming core existing in the mid-levels of the troposphere. Across the eastern half of the northern Pacific however, they require a mid-tropospheric cyclone to be cut off from the main belt of the westerlies and with only a weak surface circulation. Subtropical cyclones have wider wind fields with the maximum sustained winds located further from the center than typical tropical cyclones, and have no weather fronts linked into their center.
Answer: Subtropical cyclones are defined differently between the north Atlantic/southwest Indian Ocean area and the northern Pacific.
Question: Give me some quotes from Aristotle that I might use in a school assignment
Answer: 1. Knowing yourself is the beginning of all wisdom.
2. No great mind has ever existed without a touch of madness.
3. Happiness is the meaning and the purpose of life, the whole aim and end of human existence.
4. Patience is bitter, but its fruit is sweet.
5. Those who know, do. Those that understand, teach.
6. Learning is not child's play; we can not learn without pain.
7. What is a friend? A single soul dwelling in two bodies.
8. Pleasure in the job puts perfection in the work.
9. It is impossible or not easy to alter by argument what has long been absorbed by habit.
10. Educating the head without educating the heart is no education at all.
Question: Who is the best character on Ted Lasso?
Answer: Rebecca Welton is the best!  She is the perfect combination of wit, sarcasm, beauty and power.
Question: How do they measure the size of models?
Evidence: Traditional text-to-speech (TTS) systems are composed of complex pipelines BIBREF0 , these often include accoustic frontends, duration model, acoustic prediction model and vocoder models. The complexity of the TTS problem coupled with the requirement for deep domain expertise means these systems are often brittle in design and results in un-natural synthesized speech.
Neural text-to-speech systems have garnered large research interest in the past 2 years. The first to fully explore this avenue of research was Google's tacotron BIBREF1 system. Their architecture based off the original Seq2Seq framework. In addition to encoder/decoder RNNs from the original Seq2Seq , they also included a bottleneck prenet module termed CBHG, which is composed of sets of 1-D convolution networks followed by highway residual layers. The attention mechanism follows the original Seq2Seq BIBREF7 mechanism (often termed Bahdanau attention). This is the first work to propose training a Seq2Seq model to convert text to mel spectrogram, which can then be converted to audio wav via iterative algorithms such as Griffin Lim BIBREF8 .
The architecture of our model utilizes RNN-based Seq2Seq model for generating mel spectrogram from text. The architecture is similar to that of Tacotron 2 BIBREF4 . The generated mel spetrogram can either be inverted via iterative algorithms such as Griffin Lim, or through more complicated neural vocoder networks such as a mel spectrogram conditioned Wavenet BIBREF11 .
Direct comparison of model parameters between ours and the open-source tacotron 2, our model contains 4.5 million parameters, whereas the Tacotron 2 contains around 13 million parameters with default setting. By helping our model learn attention alignment faster, we can afford to use a smaller overall model to achieve similar quality speech quality.
Traditional text-to-speech (TTS) systems are composed of complex pipelines BIBREF0 , these often include accoustic frontends, duration model, acoustic prediction model and vocoder models.
Neural text-to-speech systems have garnered large research interest in the past 2 years. The first to fully explore this avenue of research was Google's tacotron BIBREF1 system
The architecture of our model utilizes RNN-based Seq2Seq model for generating mel spectrogram from text. The architecture is similar to that of Tacotron 2 BIBREF4 . 
Direct comparison of model parameters between ours and the open-source tacotron 2, our model contains 4.5 million parameters, whereas the Tacotron 2 contains around 13 million parameters with default setting
Answer: The answers are shown as follows:
* Direct comparison of model parameters
Question: How did the team alleviate the influence of randomness in neural network model training and obtain stable experimental results?
Evidence: We tuned the parameters based on the best performance on the development set. We fixed the weights of word embeddings during training. All the LSTMs in our neural network use the hidden state size of 300. To avoid overfitting, we applied dropout BIBREF37 with dropout ratio of 0.5 to both input and output of LSTM layers. To prevent the exploding gradient problem in training LSTMs, we adopt gradient clipping with gradient L2-norm threshold of 5.0. These parameters remain the same for all our proposed models as well as our own baseline models.
We chose the standard cross-entropy loss function for training our neural network model and adopted Adam BIBREF38 optimizer with the initial learning rate of 5e-4 and a mini-batch size of 128. If one instance is annotated with two labels (4% of all instances), we use both of them in loss calculation and regard the prediction as correct if model predicts one of the annotated labels. All the proposed models were implemented with Pytorch and converged to the best performance within 20-40 epochs.
To alleviate the influence of randomness in neural network model training and obtain stable experimental results, we ran each of the proposed models and our own baseline models ten times and report the average performance of each model instead of the best performance as reported in many previous works.
To alleviate the influence of randomness in neural network model training and obtain stable experimental results, we ran each of the proposed models and our own baseline models ten times and report the average performance of each model instead of the best performance as reported in many previous works.
Answer: They ran each of the proposed models and their own baseline models ten times and report the average performance of each model instead of the best performance as reported in many previous works.
Question: Why do people like living in California?
Answer: California has the highest population of any U.S. state.  Many people like living there because of its relatively mild climate and easy access to National and State Parks.  Others enjoy living in California because it provides strong human rights protections to minority groups.  California is a very large state and has a varied geography.  As a result, people who want to live in coastal, forested, desert, or mountain environments can all find a location they like.
Question: What were the baselines models?
Evidence: We conduct experiments on our self-collected CAIS to evaluate the generalizability in different language. We apply two baseline models for comparison, one is the popular BiLSTMs + CRF architecture BIBREF36 for sequence labeling task, and the other one is the more powerful sententce-state LSTM BIBREF21. The results listed in Table TABREF50 demonstrate the generalizability and effectiveness of our CM-Net when handling various domains and different languages.
We conduct experiments on our self-collected CAIS to evaluate the generalizability in different language. We apply two baseline models for comparison, one is the popular BiLSTMs + CRF architecture BIBREF36 for sequence labeling task, and the other one is the more powerful sententce-state LSTM BIBREF21. The results listed in Table TABREF50 demonstrate the generalizability and effectiveness of our CM-Net when handling various domains and different languages.
Answer: The answers are shown as follows:
* BiLSTMs + CRF architecture BIBREF36
* sententce-state LSTM BIBREF21
Question: Why is Alien the greatest space horror film of all time?
Answer: For one thing, it does a fantastic job of making the crew of the Nostromo relatable and human. We spend a lot of time with them before any seriously suspenseful or horrific things happen. We understand they're a tight crew, and care about each other, and that they already feel some animosity towards the mining company that sent them out into space. This makes it a lot more scary and sad when eventually most of them become prey to the alien.

Secondly, the main villain in Alien is not only way scarier than almost any other creature villain ever made, the way they build up both her backstory and her eventual full reveal is amazing. When we first see the small chestburster alien, neither we nor the crew have any idea how big, terrifying, and lethal she will become. From her sticky, slick sheen to her cunning and silent hunting skills, she is truly an unstoppable force. If I were trapped on a spaceship with that creature, I don't know what I'd do.

And finally, Alien just feels more "real" with its universal and timely themes of greed and fear of the unknown. There are numerous actual stories of mining companies betraying their field employees and endangering their lives for a quick buck; isolated teams of workers going crazy,  suffering from unseen maladies, and falling into chaos and disarray; and of course, the tale of predator and prey is perhaps the oldest one of all. Its visceral, brutal, claustrophobic terror felt imminently possibly in the 1970s when it was made, and has only increased with time.
Question: Why Mauritius is famous
Answer: 1. Because it has nice resorts
2. Beaches are very nice 
3, Foods are awesome
Question: What multimodality is available in the dataset?
Evidence: In particular, we take advantage of recently proposed RecipeQA dataset BIBREF2, a dataset for multimodal comprehension of cooking recipes, and ask whether it is possible to have a model which employs dynamic representations of entities in answering questions that require multimodal understanding of procedures. To this end, inspired from BIBREF5, we propose Procedural Reasoning Networks (PRN) that incorporates entities into the comprehension process and allows to keep track of entities, understand their interactions and accordingly update their states across time. We report that our proposed approach significantly improves upon previously published results on visual reasoning tasks in RecipeQA, which test understanding causal and temporal relations from images and text. We further show that the dynamic entity representations can capture semantics of the state information in the corresponding steps.
In particular, we take advantage of recently proposed RecipeQA dataset BIBREF2, a dataset for multimodal comprehension of cooking recipes, and ask whether it is possible to have a model which employs dynamic representations of entities in answering questions that require multimodal understanding of procedures. 
We report that our proposed approach significantly improves upon previously published results on visual reasoning tasks in RecipeQA, which test understanding causal and temporal relations from images and text. 
Answer: The answers are shown as follows:
* images and text
Question: Give me a list of what to do with used brake rotors.
Answer: Scrap them for their raw metal value.  Use them as a heavy base for a pole, mailbox, or similar.  Use them as workout weights.  Use them as anchors.
Question: What network is used for embedding questions and history?
Evidence: Common to all the models, we initialize our embedding matrix with pre-trained Glove word vectors of 300 dimensions using 6B tokens . Out of 11319 tokens present in the dataset, we found 188 tokens missing from the pre-trained Glove embeddings, so we manually map these tokens to words conveying semantically similar meaning, e.g. we map over ten variations of the word “yes” - misspelled or not picked up by tokenizer - “*yes", “yesa", “yess", “ytes", “yes-", “yes3", “yyes", “yees", etc.
For image features, we extract Faster R-CNN features with ResNet-101 backbone trained on Visual genome BIBREF4 dataset, similar to BIBREF2. We use an adaptive number of object proposals per-image ranging from 10 to 100 generated using a fixed confidence threshold and each object is then associated with 2048-dimensional mean-pooled features using ROI pooling. We use discriminative decoding throughout our models.
We first describe our models individually and then the ensembling technique that we employ. In the following, MN denotes Memory Networks to encode conversational history, RCNN signify R-CNN for object level representations of an image, Wt represents additional linear layer in the decoder, and LF a late fusion mechanism as defined in BIBREF0.
LF-RCNN Late fusion encoder [2] with concatenated history. We use two-layered LSTMs with 512 hidden units for embedding questions and history. The object-level features are weighed using only question embeddings. The word embeddings from Glove vectors are frozen and are not fine-tuned. Figure 1 gives an overview of the architecture.
Answer: LSTMs with 512 hidden units.
Question: Identify which instrument is string or percussion: Hyoshigi, Ronroco
Answer: Ronroco is string, Hyoshigi is percussion.
Question: Where did Jon Rahm go to college?
Evidence: He attended Arizona State University on a golf scholarship, where he earned a Bachelor of Arts degree in Communications. There he won 11 college golf tournaments, which is second in school history, behind only Phil Mickelson's 16 collegiate wins.
Answer: Arizona State University
Question: How long do tennis matches last?
Answer: Tennis matches do not have a time limit. They can range anywhere from one hour on the short end to five-six hours on the other extreme. In most cases, the matches finish within a couple of hours. The variation in the duration of tennis matches stems from the scoring system which requires a player to win two or three sets, depending on the tournament, to win the match. For really competitive matches, an individual set can go on for hours if players keep running into ties, prolonging the match.
Question: Why are border collies good guard dogs
Answer: Border collies have very strong protective instinct. Just like they protects herds, they will protect you when danger approaches. Also border collies are vocal. They will not fail to notify you when there is something suspicious around. Border collies are very smart and easy to train.
Question: Who received the maximum number of Oscar awards of all time?
Answer: While there are many actors who received more than 1 Oscar award, Katharine Hepburn has received 4 Oscar awards. There are also a few actors who received 3 Oscar awards for their performances.
Question: Summarize the types of propaganda students distributed during the Tiananmen Square protests and massacre in a bulleted list.
Evidence: During the 1989 Tiananmen Square protests and massacre student demonstrators created and distributed a large variety of propaganda. The first of these were memorial posters dedicated to Hu Yaobang, which were placed in Peking University following his death on Saturday April 15, 1989. On April 16th and 17th, pamphlets, leaflets and other forms of propaganda began to be distributed by university students both in Peking University and at Tiananmen Square where large congregations of students began to form in what became the beginning stages of the protest. These were used to communicate among the students as well as to spread their messages and demands to groups such as the Chinese government and foreign media. Other forms of propaganda would emerge as the protests continued, such as a hunger strike beginning on May 13 and visits from celebrities and intellectuals, as well as speeches and songs. All of these were used to promote the interests of the student protest movement.
Answer: The following are types of propaganda students distributed during the Tiananmen Square protests and massacre:
- Memorial posters dedicated to Hu Yaobang
- Hunger strike
- Visits from celebrities and intellectuals
- Speeches and songs