DataHammer/scimrc huggingface dataset:
Question: Fix the typos and grammar in this paragraph
Evidence: "Let's Go" is a song by Canadian singer Shawn Desman. It was released in 2005 as the second single from his album Back for More. The songs heavily features a synthesizer phrase sampled from teh 1982 hits "Don't Go" by British new wave du Yazoo.
Answer: "Let's Go" is a song by Canadian singer Shawn Desman. It was released in 2005 as the second single from his album Back for More. The song heavily features a synthesizer phrase sampled from the 1982 hit "Don't Go" by British new wave duo Yazoo.
Question: What are good finishes for a desk top made of hard wood?
Answer: You'll want to avoid tacky finishes because you'll be touching your desk all the time. The finish should be fairly durable. Many people use tung oil, danish oil, or poly for desk tops. Avoid using a shellac or other alcohol solvents to reduce the damage from drinks spilling.
Question: Which of the following are flowers: roses, peonies, worms, carnations, tulips, dirt, lavender, and sunflowers?
Answer: Roses, peonies, carnations, tulips, lavender, and sunflowers are flowers. Worms and dirt are not flowers.
Question: Tell me if these are professional soccer players or professional surfers: Lionel Messi, Kelly Slater, Neymar Jr., Kanoa Igarashi, Zinedine Zidane, Mark Occhilupo, Gabriel Medina, Zlatan Ibrahimovic, Ngolo Kante, Miguel Pupo
Answer: Professional Soccer Players: Lionel Messi, Neymar Jr., Zinedine Zidane, Zlatan Ibrahimovic, Ngolo Kante
Professional Surfers: Kelly Slater, Kanoa Igarashi, Mark Occhilupo, Gabriel Medina, Miguel Pupo
Question: Why did Kim Kardashian and Ye divorce?
Answer: Kim and Ye were living two separate lives. Kim was in Hidden Hills, CA taking care of their four kids while Ye was developing the acres of land he bought in Wyoming. Ye began creating a whole self-sustaining community of christian devoted followers while Kim was filming her show and studying to become a lawyer. They began to grow a part, not to mention claims of both of them cheating. After two years trying to become divorced, they most recently officially became divorced and Ye must pay Kim $200,000 per month for security of their kids. Kim bought their house from Ye and other financials were settled.
Question: Given a reference text about Kennebunkport, tell me its neighboring towns and where it is located.
Evidence: Kennebunkport /ˌkɛniˈbʌŋkˌpɔːrt/ is a resort town in York County, Maine, United States. The population was 3,629 people at the 2020 census. It is part of the Portland–South Portland–Biddeford metropolitan statistical area.

The town center, the area in and around Dock Square, is located along the Kennebunk River, approximately 1 mile (1.6 km) from the mouth of the river on the Atlantic Ocean. Historically a shipbuilding and fishing village, for well over a century the town has been a popular summer colony and seaside tourist destination. The Dock Square area has a district of souvenir shops, art galleries, schooner attractions, seafood restaurants, and bed and breakfasts. Cape Porpoise, while retaining its identity as a fishing harbor, has a very small village area with several restaurants, a church, grocery store, coffee shop, small library, and art gallery. Kennebunkport has a reputation as a summer haven for the upper class and is one of the wealthiest communities in the state of Maine. The Municipality of Kennebunkport includes the constituent villages of Kennebunkport Village, Cape Arundel & Colony Beach, the Cottage Coast, Wilde's District (Wildwood), Goose Rocks Beach, Turbatts Creek, Cape Porpoise Village, North Village Crossing (Townhouse Corner), among various other newer developments. The town is the home of Walker's Point, a summer estate of the Bush family.

Kennebunkport and neighboring towns Kennebunk and Arundel comprise school district RSU 21.

The Kennebunkport Christmas Prelude takes place annually in the town, beginning either in late November or early December.
Answer: Kennebunkport is located in York County, Maine and is neighbored by the towns of Kennebunk and Arundel.
Question: Which film owns the record for the most Oscar wins?
Answer: Three films own the record for the most Oscar wins. They are Titanic, Ben Hur, and Lord of the Rings: Return of the King, all of which won 11 awards.
Question: What limitations do the previous models have?
Evidence: The Transformer architecture BIBREF0 for deep neural networks has quickly risen to prominence in NLP through its efficiency and performance, leading to improvements in the state of the art of Neural Machine Translation BIBREF1, BIBREF2, as well as inspiring other powerful general-purpose models like BERT BIBREF3 and GPT-2 BIBREF4. At the heart of the Transformer lie multi-head attention mechanisms: each word is represented by multiple different weighted averages of its relevant context. As suggested by recent works on interpreting attention head roles, separate attention heads may learn to look for various relationships between tokens BIBREF5, BIBREF6, BIBREF7, BIBREF8, BIBREF9.
The attention distribution of each head is predicted typically using the softmax normalizing transform. As a result, all context words have non-zero attention weight. Recent work on single attention architectures suggest that using sparse normalizing transforms in attention mechanisms such as sparsemax – which can yield exactly zero probabilities for irrelevant words – may improve performance and interpretability BIBREF12, BIBREF13, BIBREF14. Qualitative analysis of attention heads BIBREF0 suggests that, depending on what phenomena they capture, heads tend to favor flatter or more peaked distributions.
Recent works have proposed sparse Transformers BIBREF10 and adaptive span Transformers BIBREF11. However, the “sparsity" of those models only limits the attention to a contiguous span of past tokens, while in this work we propose a highly adaptive Transformer model that is capable of attending to a sparse set of words that are not necessarily contiguous. Figure FIGREF1 shows the relationship of these methods with ours.
Our contributions are the following:
We introduce sparse attention into the Transformer architecture, showing that it eases interpretability and leads to slight accuracy gains.
We propose an adaptive version of sparse attention, where the shape of each attention head is learnable and can vary continuously and dynamically between the dense limit case of softmax and the sparse, piecewise-linear sparsemax case.
We make an extensive analysis of the added interpretability of these models, identifying both crisper examples of attention head behavior observed in previous work, as well as novel behaviors unraveled thanks to the sparsity and adaptivity of our proposed model.
Recent works have proposed sparseTransformers (Child et al., 2019) and adaptive span Transformers (Sukhbaatar et al., 2019). However, the “sparsity” of those models only limits the attention to a contiguous span of past tokens, while in this work we propose a highly adaptive Transformer model that is capable of attending to a sparse set of words that are not necessarily contiguous.
Answer: The “sparsity” of those models only limits the attention to a contiguous span of past tokens.
Question: When do you think humans can set feet on Mars
Answer: NASA has set a goal of landing humans on Mars by the mid 2030 but it's also affected by many factors such as technology readiness, funding and political willingness. To travel to Mars takes about 6 months and we need much more powerful rocket and also enough supplies to support human travelers on the way. Even for a short period of staying on Mars, we need substantial life support on Mars which is extremely hostile to life at this moment. The biggest challenge might be how to return the human safely to the Earth. Overall landing humans on Mars is a audacious effort and would be a major milestone for humans exploring the space and eventually go beyond the Solar system.
Question: Does Minnesota have a professional hockey team?
Answer: Yes, the Minnesota Wild are the primary hockey team in Minnesota. They are 1 of 32 teams in the National Hockey League (NHL). The Minnesota Wild play in St. Paul, the capitol of Minnesota at the Excel Energy Center.
Question: What simple features are used?
Evidence: Supervised Learning. We restrict our supervised experiments to a default linear SVM learner with Stochastic Gradient Descent (SGD) training and L2 regularization, available in the SciKit-Learn toolkit BIBREF25 . We use 10-fold cross-validation, and only two types of features: n-grams and Word2Vec word embeddings. We expect Word2Vec to be able to capture semantic generalizations that n-grams do not BIBREF26 , BIBREF27 . The n-gram features include unigrams, bigrams, and trigrams, including sequences of punctuation (for example, ellipses or "!!!"), and emoticons. We use GoogleNews Word2Vec features BIBREF28 .
We use 10-fold cross-validation, and only two types of features: n-grams and Word2Vec word embeddings. 
The n-gram features include unigrams, bigrams, and trigrams, including sequences of punctuation (for example, ellipses or "!!!"), and emoticons. We use GoogleNews Word2Vec features BIBREF28 .
Answer: The answers are shown as follows:
* unigrams, bigrams, and trigrams, including sequences of punctuation
* Word2Vec word embeddings
Question: When did India gain independence?
Answer: India gained independence from British rule on August 15th, 1947.
Question: How big is their dataset?
Evidence: Much recent work on semantic parsing has been evaluated using the WebQuestions dataset BIBREF3 . This dataset is not suitable for evaluating our model because it was filtered to only questions that are mappable to Freebase queries. In contrast, our focus is on language that is not directly mappable to Freebase. We thus use the dataset introduced by Krishnamurthy and Mitchell krishnamurthy-2015-semparse-open-vocabulary, which consists of the ClueWeb09 web corpus along with Google's FACC entity linking of that corpus to Freebase BIBREF9 . For training data, 3 million webpages from this corpus were processed with a CCG parser to produce logical forms BIBREF10 . This produced 2.1m predicate instances involving 142k entity pairs and 184k entities. After removing infrequently-seen predicates (seen fewer than 6 times), there were 25k categories and 4.2k relations.
We also used the test set created by Krishnamurthy and Mitchell, which contains 220 queries generated in the same fashion as the training data from a separate section of ClueWeb. However, as they did not release a development set with their data, we used this set as a development set. For a final evaluation, we generated another, similar test set from a different held out section of ClueWeb, in the same fashion as done by Krishnamurthy and Mitchell. This final test set contains 307 queries.
For training data, 3 million webpages from this corpus were processed with a CCG parser to produce logical forms BIBREF10 .
We also used the test set created by Krishnamurthy and Mitchell, which contains 220 queries generated in the same fashion as the training data from a separate section of ClueWeb. However, as they did not release a development set with their data, we used this set as a development set.
This final test set contains 307 queries.
Answer: 3 million webpages processed with a CCG parser for training, 220 queries for development, and 307 queries for testing
Question: What makes someone beautiful?
Answer: It's often said that beauty is in the eye of the beholder.  What makes someone beautiful is subjective to whatever quality the individual or other party deems beautiful, attractive or desirable.  Most individuals are not a good judge of their own appearance or qualities.  According to the Austrian writer Kyle Krauss, the best way to be beautiful, is to stop worrying about being ugly.   The most attractive people are often confident and are usually not concerned with how others perceive their appearance.
Question: Which characters belong to DC or Marvel Universe? Ghost Rider, Atomic Skull
Answer: Ghost Rider is Marvel, Atomic Skull is DC
Question: Who is Micky Mouse?
Evidence: Mickey Mouse is an animated cartoon character co-created in 1928 by Walt Disney and Ub Iwerks. The longtime mascot of The Walt Disney Company, Mickey is an anthropomorphic mouse who typically wears red shorts, large yellow shoes, and white gloves. Taking inspiration from silent film personalities such as Charlie Chaplin's Tramp, Mickey is traditionally characterized as a sympathetic underdog who gets by on pluck and ingenuity. The character’s status as a small mouse is personified through his diminutive stature and falsetto voice, the latter of which was originally provided by Disney. Mickey is one of the world's most recognizable and universally acclaimed fictional characters of all time.
Answer: Mickey Mouse is an animated cartoon character co-created in 1928 by Walt Disney and Ub Iwerks. The longtime mascot of The Walt Disney Company, Mickey is an anthropomorphic mouse who typically wears red shorts, large yellow shoes, and white gloves. Taking inspiration from silent film personalities such as Charlie Chaplin's Tramp, Mickey is traditionally characterized as a sympathetic underdog who gets by on pluck and ingenuity. Mickey is one of the world's most recognizable and universally acclaimed fictional characters of all time. Mickey generally appears alongside his girlfriend Minnie Mouse, his pet dog Pluto, and his friends Donald Duck and Goofy.
Question: A 30-year-old member at your fitness center has been weight training for 4 months and claims to have made significant gains in strength. Twice a week, he performs 1 set of 12-15 repetitions using 8 weight machines. Over the last 6 weeks, he's noticed that he isn’t achieving the strength gains that he’s used to. How would you modify his training routine to optimize gains in muscular strength?
Answer: First of all, he’s been performing the same routine over the last 4 months, which means his body may have adapted to the specific sets, repetition ranges, and types of exercises he performs, leading to less strength gains. I would recommend him to switch up his routine! He can consider doing more sets per exercise e.g. 3 sets with lower repetitions e.g. 8 repetitions. He can also consider switching weight machines to free weights, which can help target more muscles and larger muscle groups. He can also increase the number of days he trains a week, from two to three. He can also do well to remember to properly warm up, cool down, stretch, and order his exercises properly (from larger muscle groups to smaller).
Question: How to create synthesized summaries in this paper?
Evidence: Recently, with the emergence of neural seq2seq models, abstractive summarization methods have seen great performance strides BIBREF0, BIBREF1, BIBREF2. However, complex neural summarization models with thousands of parameters usually require a large amount of training data. In fact, much of the neural summarization work has been trained and tested in news domains where numerous large datasets exist. For example, the CNN/DailyMail (CNN/DM) BIBREF3, BIBREF4 and New York Times (NYT) datasets are in the magnitude of 300k and 700k documents, respectively. In contrast, in other domains such as student reflections, summarization datasets are only in the magnitude of tens or hundreds of documents (e.g., BIBREF5). We hypothesize that training complex neural abstractive summarization models in such domains will not yield good performing models, and we will indeed later show that this is the case for student reflections.
To improve performance in low resource domains, we explore three directions. First, we explore domain transfer for abstractive summarization. While domain transfer is not new, compared to prior summarization studies BIBREF6, BIBREF7, our training (news) and tuning (student reflection) domains are quite dissimilar, and the in-domain data is small. Second, we propose a template-based synthesis method to create synthesized summaries, then explore the effect of enriching training data for abstractive summarization using the proposed model compared to a synthesis baseline. Lastly, we combine both directions. Evaluations of neural abstractive summarization method across four student reflection corpora show the utility of all three methods.
Second, we propose a template-based synthesis method to create synthesized summaries, then explore the effect of enriching training data for abstractive summarization using the proposed model compared to a synthesis baseline.
Answer: Authors propose a template-based synthesis method to create synthesized summaries.
Question: here is some information about Ross McLean, how many years was Ross president of the Leavue of help for sick and elderly?
Evidence: He was a member of the Australian Broadcasting Corporation Board of Directors for five years from 1999. He was chair of the National Childcare Accreditation Council for four years from 1996 to 1999. He was president of the Association for the Blind of WA from 1995 to 1999. He was president of the League of Help for the Sick and Elderly of WA from 1995 to 1997. In December 2001 he resigned as chairman of the Fremantle Football Club in the wake of revelations that the club had exceeded the salary cap for the 2001 season. He was a member of the Board of the Western Australian Cricket Association from 2004 to 2012.
Answer: 2 years, between 1995 to 1997.
Question: what is a sql query?
Answer: SQL stands for structured query language.  A SQL query is a statement using SQL syntax to get data returned for a specific question to business data you are trying to get answered.  SQL queries can be simple returns of data, and they can also include simple or complex aggregations over time.  SQL queries run against a database like Oracle Database, Azure's SQL Server Database, or Google's Bigquery.
Question: What characteristics are IPAs known for?
Answer: IPAs are known to be more bitter than mass-produced lagers, and typically contain floral, citrus-like, and resinous notes. This flavor is largely derived from hops, which is the flower of the hop plant.
Question: Classify each of the following as having two or four legs: human, horse, dog, cat, monkey, kangaroo, boar
Answer: Human: Two Legs
Horse: Four Legs
Dog: Four Legs
Cat: Four Legs
Monkey: Two Legs
Kangaroo: Two Legs
Boar: Four Legs
Question: Why do people put ICE as a contact in their cell phone?
Answer: ICE is an acronym referring to "In case of emergency". It's recommended to put an emergency contact with the acronym ICE in your phone as a preventative measure.
Question: Tell me whether you wear each of the following on your hand or face: ring, glove, glasses, lipstick, mitten, mask
Answer: Ring: Hand
Glove: Hand
Glasses: Face
Lipstick: Face
Mitten: Hand
Mask: Face
Question: What is summer break?
Evidence: Schools and universities typically have a summer break to take advantage of the warmer weather and longer days. In almost all countries, children are out of school during this time of year for summer break, although dates vary. Many families will take holidays for a week or two over summer, particularly in Southern Hemisphere Western countries with statutory Christmas and New Year holidays.
In the United States, public schools usually end in late May in Memorial Day weekend, while colleges finish in early May. Public school traditionally resumes near Labor Day, while higher institutions often resume in mid-August.
In England and Wales, school ends in mid-July and resumes again in early September. In Scotland, the summer holiday begins in late June and ends in mid-to late-August. Similarly, in Canada the summer holiday starts on the last or second-last Friday in June and ends in late August or on the first Tuesday of September, with the exception of when that date falls before Labour Day, in which case, ends on the second Tuesday of the month. In Russia the summer holiday begins at the end of May and ends on 31 August.
In the Southern Hemisphere, school summer holiday dates include the major holidays of Christmas and New Year's Day. School summer holidays in Australia, New Zealand and South Africa begin in early December and end in early February, with dates varying between states. In South Africa, the new school year usually starts during the second week of January, thus aligning the academic year with the Calendar year. In India, school ends in late April and resumes in early or mid-June. In Cameroon and Nigeria, schools usually finish for summer vacation in mid-July and resume in the later weeks of September or the first week of October.
Answer: Schools and universities typically have a summer break to take advantage of the warmer weather and longer days. In almost all countries, children are out of school during this time of year for summer break, although dates vary.
Question: Tell me which of these foods is spicy: jalapeño, apple, five-alarm chili, marshmallow, tabasco, wasabi
Answer: Jalapeño: spicy
Apple: not spicy
Five-alarm chili: spicy
Marshmallow: not spicy
Tabasco: spicy
Wasabi: spicy
Question: Summarize what Alpha Phi is.
Evidence: Alpha Phi International Women's Fraternity (ΑΦ, also known as APhi) is an international sorority with 172 active chapters and over 250,000 initiated members.

Founded at Syracuse University in Syracuse, New York on September 18, 1872, it is the fourth Greek-letter organization founded for women, and the first women's fraternity founded in the northeast.

Alpha Phi is a member of the National Panhellenic Conference, the governing council of 26 women's fraternities. Alpha Phi's international headquarters are located in Evanston, Illinois.
Answer: Alpha Phi is one of the first women's fraternities founded in the Northeast. They have over 172 active chapters at College campuses and over 250,000 initiated members. Alpha Phi was founded at Syracuse University in Syracuse, New York on September 18, 1872.
Question: On what kinds of tasks does Multi-BERT have cross-lingual zero-shot learning?
Evidence: Multi-BERT has showcased its ability to enable cross-lingual zero-shot learning on the natural language understanding tasks including XNLI BIBREF19, NER, POS, Dependency Parsing, and so on. We now seek to know if a pre-trained multi-BERT has ability to solve RC tasks in the zero-shot setting.
Multi-BERT has showcased its ability to enable cross-lingual zero-shot learning on the natural language understanding tasks including XNLI (Conneau et al., 2018), NER, POS, Dependency Parsing, and so on. We now seek to know if a pretrained multi-BERT has ability to solve RC tasks in the zero-shot setting.
Answer: The natural language understanding tasks including XNLI (Conneau et al., 2018), NER, POS, Dependency Parsing, and so on.
Question: When was siri for the iphone created?
Answer: Siri was first created back in 2011 by Apple.  It's original use was for the Iphone as a virtual voice assistant that used artificial intelligence.  The voice of siri is done by Susan Bennett.  She is a voice over artist, and over the years siri has other voices that can be used too.  Siri can open applications on the iphone for you, give weather updates, set alarms and reminders, take notes for you, and automate most tasks that you can do on your iphone yourself.  Amazon Alexa was create two years after Siri because of the rise in popularity of virtual voice assistants.