DataHammer/scimrc huggingface dataset:
Question: What were gulags and who lived in them?
Evidence: The Gulag was the government agency in charge of the Soviet network of forced labour camps which were set up by order of Vladimir Lenin, reaching its peak during Joseph Stalin's rule from the 1930s to the early 1950s. English-language speakers also use the word gulag in reference to each of the forced-labor camps that existed in the Soviet Union, including the camps that existed in the post-Lenin era. The full official name of the agency changed several times.

The Gulag is recognized as a major instrument of political repression in the Soviet Union. The camps housed a wide range of convicts, from petty criminals to political prisoners, a large number of whom were convicted by simplified procedures, such as NKVD troikas or other instruments of extrajudicial punishment. In 1918–1922, the agency was administered by the Cheka, followed by the GPU (1922–1923), the OGPU (1923–1934), later known as the NKVD (1934–1946), and the Ministry of Internal Affairs (MVD) in the final years. The Solovki prison camp, the first correctional labour camp which was constructed after the revolution, was opened in 1918 and legalized by a decree, "On the creation of the forced-labor camps", on April 15, 1919.
Answer: Gulags were forced labour camps created during the Soviet Union that were used as an instrument of political repression and punishment. Gulags housed a wide range of individuals, from political prisoners to petty criminals.
Question: Which datasets did they use?
Evidence: Stanford - Twitter Sentiment Corpus (STS Corpus): STS Corpus contains 1,600K training tweets collected by a crawler from BIBREF0 . BIBREF0 constructed a test set manually with 177 negative and 182 positive tweets. The Stanford test set is small. However, it has been widely used in different evaluation tasks BIBREF0 BIBREF5 BIBREF13 .
Sanders - Twitter Sentiment Corpus: This dataset consists of hand-classified tweets collected by using search terms: INLINEFORM0 , #google, #microsoft and #twitter. We construct the dataset as BIBREF14 for binary classification.
Health Care Reform (HCR): This dataset was constructed by crawling tweets containing the hashtag #hcr BIBREF15 . Task is to predict positive/negative tweets BIBREF14 .
Stanford - Twitter Sentiment Corpus (STS Corpus): STS Corpus contains 1,600K training tweets collected by a crawler from BIBREF0 . BIBREF0 constructed a test set manually with 177 negative and 182 positive tweets. The Stanford test set is small. However, it has been widely used in different evaluation tasks BIBREF0 BIBREF5 BIBREF13 .

Sanders - Twitter Sentiment Corpus: This dataset consists of hand-classified tweets collected by using search terms: INLINEFORM0 , #google, #microsoft and #twitter. We construct the dataset as BIBREF14 for binary classification.

Health Care Reform (HCR): This dataset was constructed by crawling tweets containing the hashtag #hcr BIBREF15 . Task is to predict positive/negative tweets BIBREF14 .
Answer: The answers are shown as follows:
* Stanford - Twitter Sentiment Corpus (STS Corpus)
* Sanders - Twitter Sentiment Corpus
* Health Care Reform (HCR)
Question: When did Christoph Karl von Piacsek serve as a Hungarian officer?
Evidence: Christoph Karl von Piacsek was a Hungarian officer in Habsburg military service during the French Revolutionary Wars. He was born in 1749 in Klobusics (Hungarian: Klobusic; Czech: Klobušice), in the commune of Trencsén, in the Kingdom of Hungary. As a Rittmeister, or captain of cavalry, in the 9th Hussar Regiment, he received the Knight's Cross of the Military Order of Maria Theresa in 1789, after combat in Tabor during Austria's wars with the Ottoman Empire, and, as a colonel, commanded the 9th Hussars, 1793–1797. In 1793, during the War of the First Coalition, the 9th Hussars were part of the Army of the Rhine (Austrian), and participated in the skirmishes at Offenbach, Knittelsbach, and Otterheim, and, later, at the storming of the Wissembourg line at Lauffenberg. Following this action, Piacsek, Major Baron von Szoreyny, and several other officers were honored.
Answer: Christoph Karl von Piacsek served as a Hungarian officer in Habsburg military service during the French Revolutionary Wars.
Question: I'm going to try a keto diet, which means I should prioritise fat and avoid carbs. Which of these foods should I prioritise and which should I avoid? rice, mayonnaise, avocado, pastry, olive oil, bread, cheese and crackers.
Answer: You should prioritise the following foods because they are high in fat: cheese, avocado, mayonnaise, olive oil. You should avoid the foods that are high in carbs, including: rice, bread, pastry, crackers
Question: What are your favourite films?
Answer: Le Bossu is a French language film starring Daniel Auteuil is an excellent film that I've watched many times. I also enjoy the same actor's great film, Jean de Florette and its sequel Manon des Sources, which are, combined, an incredible tale of betrayal, love, and revenge. If I had to choose a director, I would recommend any film by Christopher Nolan, including Memento, Inception, and Tenet, all of which can only be fully understood through multiple viewings. My final suggestion though is entirely different, Dirty Rotten Scoundrels, starring Michael Caine and Steve Martin, is very funny and can be watched many times, even though no one would describe it as a work of high art.
Question: What is a benefit of salsa dancing?
Answer: Salsa dancing is a great way to meet new people. Whether it is through dance lessons or going out to a salsa club, the social nature of salsa dancing makes it a good way to expand your social circle and increase your social activities.
Question: What is a Cheque card?
Answer: This type of card is issued by a bank to a customer. It guarantees that a cheque used with the card will be paid if the person issuing the cheque has kept to all the conditions.
Question: Tell me which of these are sweet or salty: juice, potato chips, cake, cheese
Answer: The salty items are: potato chips, cheese
The sweet items are: juice, cake
Question: How do they measure the diversity of inferences?
Evidence: We first compare the perplexity of CWVAE with baseline methods. Perplexity measures the probability of model to regenerate the exact targets, which is particular suitable for evaluating the model performance on one-to-many problem BIBREF20. Further, we employ BLEU score to evaluate the accuracy of generations BIBREF21, and the number of distinct n-gram to evaluate the diversity of generations BIBREF6. The distinct is normalized to $[0, 1]$ by dividing the total number of generated tokens.
Further, we employ BLEU score to evaluate the accuracy of generations BIBREF21, and the number of distinct n-gram to evaluate the diversity of generations BIBREF6. 
Answer: by number of distinct n-grams
Question: Which of the following races do participants run in? A marathon, a triathlon, an aqua bike?
Answer: A marathon and a triathlon
Question: Is the average number of “tries" useful for evaluating model quality?
Evidence: The dataset statistics can be found in Table TABREF7. The number of examples we collected increases per round, starting with approximately 19k examples for Round 1, to around 47k examples for Round 2, to over 103k examples for Round 3. We collected more data for later rounds not only because that data is likely to be more interesting, but also simply because the base model is better and so annotation took longer to collect good, verified correct examples of model vulnerabilities.
For each round, we report the model error rate, both on verified and unverified examples. The unverified model error rate captures the percentage of examples where the model disagreed with the writer's target label, but where we are not (yet) sure if the example is correct. The verified model error rate is the percentage of model errors from example pairs that other annotators were able to confirm the correct label for. Note that this error rate represents a straightforward way to evaluate model quality: the lower the model error rate—assuming constant annotator quality and context-difficulty—the better the model.
We observe that model error rates decrease as we progress through rounds. In Round 3, where we included a more diverse range of contexts from various domains, the overall error rate went slightly up compared to the preceding round, but for Wikipedia contexts the error rate decreased substantially. While for the first round roughly 1 in every 5 examples were verified model errors, this quickly dropped over consecutive rounds, and the overall model error rate is less than 1 in 10. On the one hand, this is impressive, and shows how far we have come with just three rounds. On the other hand, it shows that we still have a long way to go if even untrained annotators can fool ensembles of state-of-the-art models with relative ease.
Table TABREF7 also reports the average number of “tries”, i.e., attempts made for each context until a model error was found (or the number of possible tries is exceeded), and the average time this took (in seconds). Again, these metrics represent a useful way to evaluate model quality. We observe that the average tries and average time per verified error both go up as we progress through the rounds. The numbers clearly demonstrate that the rounds are getting increasingly more difficult.
Table 2 also reports the average number of “tries”, i.e., attempts made for each context until a model error was found (or the number of possible tries is exceeded), and the average time this took (in seconds). Again, these metrics are useful for evaluating model quality: observe that the average number of tries and average time per verified error both go up with later rounds.
Answer: Yes, it is.
Question: How can you prepare for a longer airplane flight with children?
Answer: Taking longer airplane flights with children can be stressful.  With some planning you can alleviate some of the stress and keep yourself and your children ready for the journey.  In preparation for your trip make sure that you cover the basics of food, hydration, entertainment and comfort.  Food: While most longer flights will offer refreshments, not all flights have full meal options available.  Prepare by eating a meal before getting on the plane and by packing a range of snack options for you and your children.  Hydration:  You will likely be served refreshments and drinks several times during longer flights.  However you will likely find that you will need to bring additional water and drink options to ensure proper hydrations, especially on very long flights. Entertainment:  You want to make sure that your children can engage in plenty of activities on long flights.  Most airlines will provide for games, movies and music options via on board entertainment.  However, you want to make sure you supplement by bringing additional entertainment options for your children.  Comfort:  Your plane can be too cold or too warm for your preferences, so be prepared for both scenarios.
Question: How many questions are in the INFOBOXQA based on the infoboxes from 150 articles in Wikipedia?
Evidence: Four publicly available corpora are selected for our analysis. These corpora are based on Wikipedia, so more comparable than the others, and have already been used for the evaluation of several QA systems.
WikiQA BIBREF6 comprises questions selected from the Bing search queries, where user click data give the questions and their corresponding Wikipedia articles. The abstracts of these articles are then extracted to create answer candidates. The assumption is made that if many queries lead to the same article, it must contain the answer context; however, this assumption fails for some occasions, which makes this dataset more challenging. Since the existence of answer contexts is not guaranteed in this task, it is called answer triggering instead of answer selection.
SelQA BIBREF7 is a product of five annotation tasks through crowdsourcing. It consists of about 8K questions where a half of the questions are paraphrased from the other half, aiming to reduce contextual similarities between questions and answers. Each question is associated with a section in Wikipedia where the answer context is guaranteed, and also with five sections selected from the entire Wikipedia where the selection is made by the Lucene search engine. This second dataset does not assume the existence of the answer context, so can be used for the evaluation of answer triggering.
SQuAD BIBREF12 presents 107K+ crowdsourced questions on 536 Wikipedia articles, where the answer contexts are guaranteed to exist within the provided paragraph. It contains annotation of answer phrases as well as the pointers to the sentences including the answer phrases; thus, it can be used for both answer extraction and selection. This corpus also provides human accuracy on those questions, setting up a reasonable upper bound for machines. To avoid overfitting, the evaluation set is not publicly available although system outputs can be evaluated by their provided script.
InfoboxQA BIBREF13 gives 15K+ questions based on the infoboxes from 150 articles in Wikipedia. Each question is crowdsourced and associated with an infobox, where each line of the infobox is considered an answer candidate. This corpus emphasizes the gravity of infoboxes, which summary arguably the most commonly asked information about those articles. Although the nature of this corpus is different from the others, it can also be used to evaluate answer selection.
INFOBOXQA (Morales et al., 2016) gives 15K+ questions based on the infoboxes from 150 articles in Wikipedia.
Answer: 15K+ questions.
Question: Given this paragraph about Charles Inglis, give answers to the following: his father's name, his colleague's name, and his grandfather's occupation.
Evidence: Charles Inglis was the second son of Dr. Alexander Inglis (a general practitioner in Worcester) and his first wife, Florence, the daughter of newspaper proprietor John Frederick Feeney. His elder brother was the historian John Alexander Inglis FRSE Their father, Alexander Inglis was born in Scotland to a respectable family – his grandfather, John Inglis, was an Admiral in the Royal Navy and had captained HMS Belliqueux at the Battle of Camperdown in 1797.

Charles Inglis was born on 31 July 1875. He was not expected to survive and was hurriedly baptised in his father's drawing room; his mother died from complications eleven days later. His family moved to Cheltenham and Inglis was schooled at Cheltenham College from 1889 to 1894. In his final year, he was elected head boy and received a scholarship to study the Mathematics Tripos at King's College, Cambridge. Inglis was 22nd wrangler[nb 1] when he received his Bachelor of Arts degree in 1897; he remained for a fourth year, achieving first class honours in Mechanical Sciences. Inglis was a keen sportsman and enjoyed long-distance running, walking, mountaineering and sailing. At Cambridge, he nearly achieved a blue for long-distance running but was forced to withdraw from a significant race because of a pulled muscle. He was also a follower of the Cambridge University Rugby Union team, watching their matches at Grange Road.

After graduation, Inglis began work as an apprentice for the civil engineering firm of John Wolfe-Barry & Partners. He worked as a draughtsman in the drawing office for several months before being placed with Alexander Gibb, who was acting as resident engineer on an extension to the Metropolitan District Railway between Whitechapel and Bow. Inglis was responsible for the design and supervision of all thirteen bridges on the route. It was during this time that he began his lifelong study of vibration and its effects on materials, particularly bridges.
Answer: Alexander Inglis, Alexander Gibb, Admiral in the Royal Navy
Question: Name some famous actors from the 1930's
Answer: Shirley Temple, Bette Davis, Clark Gable, Cary Grant, Lionel Barrymore, Marlene Dietrich, Errol Flynn, Greta Garbo, Katharine Hepburn, Fred Astaire, Barbara Stanwyck, Joan Crawford, Ginger Rogers, Gary Cooper, Carole Lombard, John Gilbert.
Question: Given this paragraph about the human brain, how does my brain know that I'm touching something hot?
Evidence: The human brain is the central organ of the human nervous system, and with the spinal cord makes up the central nervous system. The brain consists of the cerebrum, the brainstem and the cerebellum. It controls most of the activities of the body, processing, integrating, and coordinating the information it receives from the sense organs, and making decisions as to the instructions sent to the rest of the body. The brain is contained in, and protected by, the skull bones of the head.
Answer: Humans process information from the various sensory systems via the central nervous system. The nerves in your hand are integral to your sense of touch. When your fingers touch something hot, the nerves in your hand quickly transmit that information through the nervous system to the central nervous system. After processing an electrochemical signal up through the spine, the sensory signal is eventually received in the human brain. The brain takes action and, in this case, initiates an instinctual retraction of the hand.
Question: In which regions has Starbucks come under scrutiny?
Evidence: Starbucks, an American coffee company and coffeehouse chain, has been the subject of multiple controversies. Public and employee criticism against the company has come from around the world, including a wide range issues from tax avoidance in Europe, anti-competitive practices in the United States, human rights issues in multiple countries, and labor issues involving union busting, questions about pay equity, and ethics in partnerships in Africa.
Answer: Criticism of Starbucks has been noted in Europe, the United States, as well as Africa.
Question: List the two oldest University of California campuses separated by a semicolon.
Evidence: The University of California, Los Angeles (UCLA) is a public land-grant research university in Los Angeles, California. UCLA's academic roots were established in 1881 as a normal school then known as the southern branch of the California State Normal School (now San José State University). This school was absorbed with the official founding of UCLA as the Southern Branch of the University of California in 1919, making it the second-oldest of the 10-campus University of California system (after UC Berkeley).
Answer: UC Berkeley; UCLA
Question: Who performs better in their experiment? Bi-directional GRUs or uni-directional LSTMs?
Evidence: We experimented with discriminative models for our submission. Object level image representations gave a huge uplift in the evaluation metrics. Bi-directional GRUs constantly performed better than uni-directional LSTMs with Memory Networks outperforming Late fusion encoders for encoding conversational history. We even found that fine-tuning Glove embeddings performed better than their counterparts. Our final submission is an ensemble of three discriminative models and achieve the NDCG of 55.46 on test-std.
We experimented with discriminative models for our submission. Object level image representations gave a huge uplift in the evaluation metrics. Bi-directional GRUs constantly performed better than uni-directional LSTMs with Memory Networks outperforming Late fusion encoders for encoding conversational history.
Answer: Bi-directional GRUs.
Question: Does Las Vegas have a professional hockey team?
Answer: The Vegas Golden Knights are a professional ice hockey team based in the Las Vegas metropolitan area. They compete in the National Hockey League as a member of the Pacific Division in the Western Conference.
Question: What is tertiary analysis?
Answer: Tertiary analysis is a type of analysis that looks at a company's financial statements to evaluate the financial performance of the company. It focuses on the company's profitability, cash flow, and debt level.
Question: What are some benefits of public transportation?
Answer: Public transportation is better for the environment. Buses and trains emit less carbon dioxide per person than private transportation. Public transportation is more affordable than private transportation. By spreading out the cost of transportation ownership and maintenance among the large number of public transportation riders, public transportation is cheaper than private transportation.
Question: Write down some points on Yugoslav Cup using given paragraph as a base.
Evidence: The Yugoslav Cup was a tournament for which clubs from all tiers of the football pyramid were eligible to enter. In addition, amateur teams put together by individual Yugoslav People's Army garrisons and various factories and industrial plants were also encouraged to enter, which meant that each cup edition could have several thousands of teams in its preliminary stages. These teams would play through a number of qualifying rounds before reaching the first round proper, in which they would be paired with top-flight teams.
Answer: 1. Clubs from all levels of the football pyramid were eligible to participate in the Yugoslav Cup.
2. Additionally, amateur teams assembled by numerous enterprises and industrial plants as well as individual Yugoslav People's Army garrisons were encouraged to compete, which meant that each cup edition may include thousands of teams in its preliminary rounds.
3. Prior to the first round proper, where they would be partnered with top-flight teams, these teams would compete in a number of qualification rounds.
Question: The album the ways to love a man by Tammy Wynette
Evidence: The Ways to Love a Man is a studio album by American country artist, Tammy Wynette. It was released on January 26, 1970 via Epic Records and was the seventh studio album in Wynette's career. The disc consisted of 11 tracks which included both original material and cover recordings. Its title track was the album's only single included. It became a number one song on the North American country charts while also reaching chart positions in other musical genres as well. The album itself also reached chart positions on the country albums chart following its release. Critics and journalists gave the album a positive reception in the years that followed.
Answer: The Ways to Love a Man is a studio album by American country artist, Tammy Wynette. It was released on January 26, 1970 via Epic Records and was the seventh studio album in Wynette's career. The disc consisted of 11 tracks which included both original material and cover recordings. 

Its title track was the album's only single included. It became a number one song on the North American country charts while also reaching chart positions in other musical genres as well. The album itself also reached chart positions on the country albums chart following its release. Critics and journalists gave the album a positive reception in the years that followed.