DataHammer/scimrc huggingface dataset:
Question: Is Scala a good programming language?
Answer: There are some pluses to Scala: it is statically typed, it has a lot of syntactic sugar that allows you to write very compact code, it is inter-operable with Java so you can use any Java library that exists. However there are plenty of downsides:
  - there's too many ways to do the same thing (for example "a.b" is the same as "a b")
  - there's often entire sub-languages that spin out (e.g., when doing shell manipulation), and it's hard to understand these obscure sub-languages
  - there is a breaking upgrade from Scala 2 to Scala 3, which means that Scala 2 people are stuck with it, without improvements.
Question: Whether they conducted any crowdsourcing experiments?
Evidence: To demonstrate the cost-effectiveness of using crowdsourcing for obtaining new keywords and consequently, their expectations, we compare the performance of our approach with an approach using crowdsourcing to only label microposts for model training at the same cost. Specifically, we conducted an additional crowdsourcing experiment where the same cost used for keyword discovery in our approach is used to label additional microposts for model training. These newly labeled microposts are used with the microposts labeled in the micropost classification task of our approach (see Section SECREF2: Micropost Classification) and the expectation of the initial keyword to train the model for comparison. The model trained in this way increases AUC by 0.87% for CyberAttack, and by 1.06% for PoliticianDeath; in comparison, our proposed approach increases AUC by 33.42% for PoliticianDeath and by 15.23% for CyberAttack over the baseline presented by BIBREF1). These results show that using crowdsourcing for keyword discovery is significantly more cost-effective than simply using crowdsourcing to get additional labels when training the model.
Specifically, we conducted an additional crowdsourcing experiment where the same cost used for keyword discovery in our approach is used to label additional microposts for model training.
Answer: Yes.
Question: What state was Margaret Hall from?
Evidence: Margaret Hall (1876 – 1963) was a volunteer for the American Red Cross during World War I and a photographer who captured images of the conflict. Margaret Hall was a native of Newton, Massachusetts. She was from an affluent family and later inherited and ran her father's woolen mill. In 1899, she graduated from Bryn Mawr College with a degree in history and political science. She was a suffragist who marched in the 1913 Woman Suffrage Procession and also participated in the 1913 Ladies Garment Strike.
Answer: Margaret Hall was from Massachusetts.
Question: which country has the least diverse food?
Answer: England is notorious for their food offerings. The best choices you might get are fish and chips and their authentic blood suasage. Most visitors claim that food in UK is tasteless and complains about the limited choices of bakery and desserts.
Question: What are some basic spirits you should have at your bar
Answer: Often times socializing with friends and neighbors includes spirits or alcohol.   Some of the important spirts to have at your house to capture the wide variety of taste include
Beer
Red Wine
White Wine
Bourbon (preferably Basil Hayden)
Whiskey
Vodka
Rum
Tequila
Triple Sec
Mixers such as Cola, club soda, tonic water, juices, and ice
Question: Can you name five of the most successful professional golfers in history?
Answer: Tiger Woods, Jack Nicklaus, Arnold Palmer, Sam Snead, Bobby Jones
Question: Which baselines did they compare?
Evidence: We present in this section the baseline model from See et al. See2017 trained on the CNN/Daily Mail dataset. We reproduce the results from See et al. See2017 to then apply LRP on it.
The baseline model is a deep sequence-to-sequence encoder/decoder model with attention. The encoder is a bidirectional Long-Short Term Memory(LSTM) cell BIBREF14 and the decoder a single LSTM cell with attention mechanism. The attention mechanism is computed as in BIBREF9 and we use a greedy search for decoding. We train end-to-end including the words embeddings. The embedding size used is of 128 and the hidden state size of the LSTM cells is of 254.
We present in this section the baseline model from See et al. See2017 trained on the CNN/Daily Mail dataset.
The baseline model is a deep sequence-to-sequence encoder/decoder model with attention. The encoder is a bidirectional Long-Short Term Memory(LSTM) cell BIBREF14 and the decoder a single LSTM cell with attention mechanism. The attention mechanism is computed as in BIBREF9 and we use a greedy search for decoding. We train end-to-end including the words embeddings. The embedding size used is of 128 and the hidden state size of the LSTM cells is of 254.
Answer: The answers are shown as follows:
* The baseline model is a deep sequence-to-sequence encoder/decoder model with attention. The encoder is a bidirectional Long-Short Term Memory(LSTM) cell BIBREF14 and the decoder a single LSTM cell with attention mechanism. The attention mechanism is computed as in BIBREF9 and we use a greedy search for decoding. We train end-to-end including the words embeddings. The embedding size used is of 128 and the hidden state size of the LSTM cells is of 254.
Question: Given this reference text about Bougainville Island, what is its land area?
Evidence: Bougainville Island (Tok Pisin: Bogenvil) is the main island of the Autonomous Region of Bougainville, which is part of Papua New Guinea. It was previously the main landmass in the German Empire-associated North Solomons. Its land area is 9,300 km2 (3,600 sq mi). The population of the whole province, including nearby islets such as the Carterets, is approximately 300,000 (2019 census). The highest point is Mount Balbi, on the main island, at 2,715 m (8,907 ft). The much smaller Buka Island, c. 500 km2 (190 sq mi), lies to the north, across the 400–500 m (1,300–1,600 ft) wide Buka Strait. Even though the strait is narrow, there is no bridge across it, but there is a regular ferry service between the key settlements on either side. The main airport (or airstrip) in the north is in the town of Buka.
Answer: Its land area is 9,300 km2 (3,600 sq mi).
Question: According to this paragraph, what was the most common type of castle in England following the Norman Conquest?
Evidence: There are nine castles in Greater Manchester, a metropolitan county in North West England. They consist of four motte-and-bailey castles, three fortified manor houses, an enclosure castle, and a possible shell keep. A motte-and-bailey castle is characterised by two elements: the motte is an artificial mound with a wooden stockade and stronghold on top, usually a stone keep or tower, while the bailey is a defended enclosure adjacent to the motte, typically enclosed by a ditch and a bank topped by a timber palisade or stone wall. Motte-and-bailey castles were the most common type of castle in England following the Norman Conquest. A shell keep was a motte with a stone wall rather than a wooden stockade on top; there would have been no tower within the walls. Four of Greater Manchester's castles are scheduled monuments: Buckton, Bury, Radcliffe Tower, and Watch Hill. A scheduled monument is a "nationally important" archaeological site or historic building, given protection against unauthorised change.
Answer: According to this text, the Motte-and-bailey castles were the most common following the Norman Conquest.
Question: When running a marathon and attempting to run a personal best time, categorize the following as either ‘useful’ or ‘not useful’, ‘dangerous’ or ‘neither. Fast digesting carbohydrates, a fire extinguisher, a weight vest, scissors, running shoes
Answer: Fast digesting carbohydrates are useful to make sure your body has fuel through all 26.2 miles. A fire extinguisher is neither useful or not useful. A weight vest is not useful if you’re attempting to run your personal best. The extra weight will slow you down. Scissors are dangerous, you should never run with scissors. Running shoes are very useful to project your feet and enhance your biomechanics and the efficiency of your stride to run your best time.
Question: In dataset II, how many controversial Wikipedia concepts are left finally?
Evidence: We consider three datasets, two of which are a contribution of this work.
Dataset I consists of 480 concepts previously analyzed in BIBREF1, BIBREF4. 240 are positive examples, titles from the Wikipedia list of controversial issues, and 240 are negative examples chosen at random and exclusive of the positives. Over this dataset, we compare the methodology suggested here to those reported by BIBREF1, BIBREF4. As the latter report overall accuracy of their binary prediction, we convert our controversiality estimates to a binary classification by classifying the higher-scored half as controversial, and the lower half as non-controversial.
Dataset II is based on a more recent version of the Wikipedia list of controversial issues (May 2017). As positive examples we take, from this list, all concepts which appear more than 50 times in Wikipedia. This leaves 608 controversial Wikipedia concepts. For negative examples, we follow BIBREF1, BIBREF4 and select a like number of concepts at random. Here too, since each concept only has a binary label, we convert our estimation into a binary classification, and report accuracy.
Dataset III is extracted from 3561 concepts whose Wikipedia pages are under edit protection, assuming that many of them are likely to be controversial. They were then crowd-annotated, with 10 or more annotators per concept. The annotation instructions were: “Given a topic and its description on Wikipedia, mark if this is a topic that people are likely to argue about.”. Average pairwise kappa agreement on this task was 0.532. Annotations were normalized to controversiality scores on an integer scale of 0 - 10. We used this dataset for testing the models trained on Dataset I.
In all datasets, to obtain the sentence-level context of the concepts (positive and negative), we randomly select two equal-sized sets of Wikipedia sentences, that explicitly reference these concepts – i.e., that contain a hyperlink to the article titled by the concept. Importantly, in each sentence we mask the words that reference the concept – i.e., the surface form of the hyperlink leading to the concept – by a fixed, singular token, thus focusing solely on the context within which the concepts are mentioned.
Dataset II is based on a more recent version of the Wikipedia list of controversial issues (May 2017). As positive examples we take, from this list, all concepts3 which appear more than 50 times in Wikipedia. This leaves 608 controversial Wikipedia concepts.
Answer: 608 controversial Wikipedia concepts.
Question: What is the best way to talk to a teenager about sex
Answer: You should share the emotional and physical  implications. Explaining that engaging in adult intimacy can lead to adult consequences. Not only is there a physical risk of pregnancy and disease, but the emotional risk of love or heartache can be very challenging for a teenager to manage without the experience and wisdom that comes with adulthood.
Question: Who are the most famous artists?
Answer: There are many famous artists throughout history and across many mediums such as painting, sculpture and photography. Some of the most famous artists known for their paintings are Leonardo Da Vinci,  Vincent Van Gogh, Pablo Picasso, Claude Monet and Salvador Dali.  Michelangelo is one of the most famous painter's and sculptor's in history.  Ansel Adams is known as one of the most famous photographers of American Landscapes.  Annie Leibovitz is also a famous photographer known for her celebrity portraits.
Question: How many languages have this parser been tried on?
Evidence: We train MaLOPa on the concantenation of training sections of all seven languages. To balance the development set, we only concatenate the first 300 sentences of each language's development section.
We train MaLOPa on the concantenation of training sections of all seven languages.
Answer: The answers are shown as follows:
* seven
Question: What's the best way to study for a test?
Answer: Make sure you understand the materials and what will be tested. Then it is important to study over multiple days instead of cramming in one night.
Question: Is tempeh a vegetarian food?
Answer: Yes, tempeh is a plant based food
Question: What dataset is used for train/test of this method?
Evidence: Experimental Protocol ::: Datasets ::: Training Dataset
(i) TTS System dataset: We trained our TTS system with a mixture of neutral and newscaster style speech. For a total of 24 hours of training data, split in 20 hours of neutral (22000 utterances) and 4 hours of newscaster styled speech (3000 utterances).
(ii) Embedding selection dataset: As the evaluation was carried out only on the newscaster speaking style, we restrict our linguistic search space to the utterances associated to the newscaster style: 3000 sentences.
Experimental Protocol ::: Datasets ::: Evaluation Dataset
The systems were evaluated on two datasets:
(i) Common Prosody Errors (CPE): The dataset on which the baseline Prostron model fails to generate appropriate prosody. This dataset consists of complex utterances like compound nouns (22%), “or" questions (9%), “wh" questions (18%). This set is further enhanced by sourcing complex utterances (51%) from BIBREF24.
(ii) LFR: As demonstrated in BIBREF25, evaluating sentences in isolation does not suffice if we want to evaluate the quality of long-form speech. Thus, for evaluations on LFR we curated a dataset of news samples. The news style sentences were concatenated into full news stories, to capture the overall experience of our intended use case.
Experimental Protocol ::: Datasets ::: Training Dataset
(i) TTS System dataset: We trained our TTS system with a mixture of neutral and newscaster style speech. For a total of 24 hours of training data, split in 20 hours of neutral (22000 utterances) and 4 hours of newscaster styled speech (3000 utterances).

(ii) Embedding selection dataset: As the evaluation was carried out only on the newscaster speaking style, we restrict our linguistic search space to the utterances associated to the newscaster style: 3000 sentences.

Experimental Protocol ::: Datasets ::: Evaluation Dataset
The systems were evaluated on two datasets:

(i) Common Prosody Errors (CPE): The dataset on which the baseline Prostron model fails to generate appropriate prosody. This dataset consists of complex utterances like compound nouns (22%), “or" questions (9%), “wh" questions (18%). This set is further enhanced by sourcing complex utterances (51%) from BIBREF24.

(ii) LFR: As demonstrated in BIBREF25, evaluating sentences in isolation does not suffice if we want to evaluate the quality of long-form speech. Thus, for evaluations on LFR we curated a dataset of news samples. The news style sentences were concatenated into full news stories, to capture the overall experience of our intended use case.
Answer: Training datasets: TTS System dataset and embedding selection dataset. Evaluation datasets: Common Prosody Errors dataset and LFR dataset.
Question: How many continents are there on Earth?
Answer: There are seven continents on Earth, and they are from largest to smallest: Asia, Africa, North America, South America, Antarctica, Europe, and Australia.
Question: who is nayanthara ?
Answer: Nayanthara is an Indian actress who is well known in Tamil, Telugu and Malayalam film Industry.
Question: Give me a list of the teenage mutant ninja turtles
Answer: The Teenage Mutant Ninja Turtles have the following names:
- Leonardo
- Donatello
- Raphael
- Michelangelo
Question: What are five popular songs by the Grateful Dead?
Answer: Five of the Grateful Dead's most popular songs include: Sugar Magnolia, Casey Jones, Uncle John's Band, Truckin', and Friend of the Devil.
Question: Write an friendly, convincing e-mail to my landlord asking whether I can get a dog
Answer: Hello landlord, 

Due to the COVID pandemic, my mental health has taken a big hit where I feel like I am now struggling with depression and anxiety. After speaking with my therapist, they recommended that getting a support animal would help alleviate both symptoms. 

I know that there is a no pet policy here, but I was wondering if you can make an exception? Please let me know what I can do to help accommodate.

Thank you! 

- Jonathan
Question: Give me a one line summary of this: "Gale gave me a sense of security I’d lacked since my father’s death. His companionship replaced the long solitary hours in the woods. I became a much better hunter when I didn’t have to look over my shoulder constantly, when someone was watching my back…Being out in the woods with Gale…sometimes I was actually happy.”
Answer: Gale made me feel secure and happy.
Question: How deep is the Gulf of Mexico measured in Empire State buildings?
Answer: The Empire State building is 1,250 feet and the Gulf of Mexico at its deepest point is 14,383 feet.  It would take eleven and a half Empire State Buildings, stacked on top of each other, to measure the Gulf of Mexico at its deepest point.
Question: Give a numbered list of instructions to set up a snowboard. The items I can use are a snowboard, snowboard bindings, a screwdriver, screws, and a measuring tape.
Answer: 1. Figure out your reference stance, or how far apart your feet will be when riding the snowboard. This should be a comfortable position that is generally a bit wider than shoulder-width.
2. Using the measuring tape, measure the reference stance distance between the mounting holes of both feet. Start from the mounting holes in the center of each foot on the snowboard and expand out until the proper width is measured.
3. Align your snowboard bindings on the identified mounting holes. You may first consider adjusting the angle of your snowboard bindings, this can be done by rotating the baseplate of the binding.
4. Using the screwdriver and screws, screw in the snowboard bindings at the chosen angle and at the chosen mounting position. Make sure the bindings are tight.
Question: What is the Gospel in the context of the Christian faith?
Answer: The Gospel is the foundation of the Christian faith and is detailed in Bible through the account of Jesus Christ's birth, earthly ministry, crucifixion, and resurrection.  The core tenant of the Gospel is the separation of sinful people from a holy God.  This sin required a perfect sacrifice for people to be brought back into relationship with God and entry to heaven.  Jesus lived the perfect life that people could never live on their own, and died as a living sacrifice on our behalf.  Now, whoever places their faith in Jesus as a free gift of grace is brought into right relationship with God and is considered to be saved, or born again.
Question: Tell me a fun fact about Boca Raton, Florida
Answer: Boca Raton was once home to a military airfield that was used during World War II to train pilots on a new military radio technology; the radar.  Pilots were trained to fly in B-17 and B-29 bombers using the radars created by MIT which would eventually allow us to win the war.  The Boca Raton Army Airfield was the only airborne radar training facility during the war.  Military planes from across the United States would have to come to this base if they wanted the radar technology to be installed.  The location of this base made it optimal to maintain secrecy as it was very rural and largely uninhabited still, providing access to thousands of acres of unused land.  The base was also just a few short miles from the Atlantic Ocean, making it the perfect place to stealthily fly and practice using the radar technology.  Other benefits to the location was the year round warm climate.
Question: Identify from this list what creatures are felines: panther, jaguar, elephant, kitten, human child, leopard, tiger, malamute, sofa
Answer: Panther, jaguar, kitten, leopard, tiger
Question: Who is the Buhler Group
Evidence: The Bühler Holding AG is a Swiss multinational plant equipment manufacturer based in Uzwil, Switzerland. It is known for plant and equipment and related services for processing foods and manufacturing advanced materials. The organization holds leading market positions worldwide in the fields of technology as well as processes for transforming grain into flour and animal feeds, producing pasta and chocolate, and manufacturing die cast components. The core technologies of the Group are in the field of mechanical and thermal process engineering.

Bühler Group operates in over 140 countries, has a global payroll of 12,490, 30 manufacturing sites worldwide and generated revenues of CHF 2,70 billion in 2021.
Answer: The Buhler Holding AG is a Swiss multinational plant equipment manufacturer based in Uzwil, Switzerland. It is known for plant and equipment and related services for processing foods and manufacturing advanced materials. The organization holds leading market positions worldwide in the fields of technology as well as processes for transforming grain into flour and animal feeds, producing pasta and chocolate, and manufacturing die cast components. The core technologies of the Group are in the field of mechanical and thermal process engineering.
Question: What they formulate the question generation as?
Evidence: Our idea is the BQ generation for MQ and, at the same time, we only want the minimum number of BQ to represent the MQ, so modeling our problem as $LASSO$ optimization problem is an appropriate way:
Our idea is the BQ generation for MQ and, at the same time, we only want the minimum number of BQ to represent the MQ, so modeling our problem as $LASSO$ optimization problem is an appropriate way
Answer: LASSO optimization problem
Question: From the passage provided, extract the difference in caffeine between a light roast and a dark roast.
Evidence: Sucrose is rapidly lost during the roasting process, and may disappear entirely in darker roasts. During roasting, aromatic oils and acids weaken, changing the flavor; at 205 °C (401 °F), other oils start to develop. One of these oils, caffeol, is created at about 200 °C (392 °F), which is largely responsible for coffee's aroma and flavor. The difference of caffeine content between a light roast and a dark roast is only about 0.1%.
Answer: Light roasts and dark roasts differ in caffeine content by about 0.1%.
Question: What are some quick dinners that I can make during the week?
Answer: Some good ideas for quick dinners that you can make in 15-30 min or less include several pasta dishes like carbonara, basil pesto and pasta Alfredo or dishes that come quickly together like Chinese style fried rice to which you can add different proteins like shrimp, chicken or meat or tofu if you'd rather go for a vegetarian option. Salads are also a good candidate for quick dinners since you can be quite flexible in your combinations and usually do not require to heat up or cook any of the ingredients.
Question: Give me the list of top 10 movies released in the current millennium, by IMDB rating. Format: Title (Release Date) Rating
Answer: These are the top 10 movies released in the current millennium, based on their IMDB rating:

1. The Dark Knight (2008)   9.0     
2. The Lord of the Rings: The Return of the King (2003) 8.9     
3. The Lord of the Rings: The Fellowship of the Ring (2001) 8.8     
4. The Lord of the Rings: The Two Towers (2002)    8.7     
5. Inception (2010)    8.7     
6. City of God (2002)  8.6     
7. Interstellar (2014) 8.6     
8. Spirited Away (2001)    8.5     
9. The Pianist (2002)  8.5     
10. Gladiator (2000)    8.5
Question: Give me a list of the best bravo tv shows
Answer: Real housewives of Beverly Hills, vanderpump rules, southern charm, real housewives of Orange County, real housewives of New York, summer house, winter house
Question: What was Elvis Presley's first No. 1 hit in the United States?
Answer: "Heartbreak Hotel".