DataHammer/scimrc huggingface dataset:
Question: What are the performances obtained for PTB and CTB?
Evidence: FLOAT SELECTED: Table 3: Dependency parsing on PTB and CTB.
FLOAT SELECTED: Table 4: Comparison of constituent parsing on PTB.
FLOAT SELECTED: Table 5: Comparison of constituent parsing on CTB.
Tables TABREF17, TABREF18 and TABREF19 compare our model to existing state-of-the-art, in which indicator Separate with our model shows the results of our model learning constituent or dependency parsing separately, (Sum) and (Concat) respectively represent the results with the indicated input token representation setting. On PTB, our model achieves 93.90 F1 score of constituent parsing and 95.91 UAS and 93.86 LAS of dependency parsing. On CTB, our model achieves a new state-of-the-art result on both constituent and dependency parsing. The comparison again suggests that learning jointly in our model is superior to learning separately. In addition, we also augment our model with ELMo BIBREF48 or a larger version of BERT BIBREF49 as the sole token representation to compare with other pre-training models. Since BERT is based on sub-word, we only take the last sub-word vector of the word in the last layer of BERT as our sole token representation $x_i$. Moreover, our single model of BERT achieves competitive performance with other ensemble models.
FLOAT SELECTED: Table 3: Dependency parsing on PTB and CTB.
FLOAT SELECTED: Table 4: Comparison of constituent parsing on PTB.
FLOAT SELECTED: Table 5: Comparison of constituent parsing on CTB.
On PTB, our model achieves 93.90 F1 score of constituent parsing and 95.91 UAS and 93.86 LAS of dependency parsing. 
On CTB, our model achieves a new state-of-the-art result on both constituent and dependency parsing. The comparison again suggests that learning jointly in our model is superior to learning separately.
Answer: The answers are shown as follows:
* . On PTB, our model achieves 93.90 F1 score of constituent parsing and 95.91 UAS and 93.86 LAS of dependency parsing.
* On CTB, our model achieves a new state-of-the-art result on both constituent and dependency parsing.
Question: Which model have the smallest Character Error Rate and which have the smallest Word Error Rate?
Evidence: In this paper, we experimentally showed that end-to-end approaches and different orthographic units were rather suitable to model the French language. RNN-transducer was found specially competitive with character units compared to other end-to-end approaches. Among the two orthographic units, subword was found beneficial for most methods to address the problems described in section SECREF14 and retain information on ambiguous patterns in French. Extending with language models, we could obtain promising results compared to traditional phone-based systems. The best performing systems being for character unit the RNN-transducer with additional attention module, achieving 7.8% in terms of CER and 17.6% on WER. For subword units, classic RNN-transducer, RNN-transducer with attention and joint CTC-attention show comparable performance on subword error rate and WER, with the first one being slightly better on WER ($17.4\%$) and the last one having a lower error rate on subword ($14.5\%$).
The best performing systems being for character unit the RNN-transducer with additional attention module, achieving 7.8% in terms of CER and 17.6% on WER. For subword units, classic RNN-transducer, RNN-transducer with attention and joint CTC-attention show comparable performance on subword error rate and WER, with the first one being slightly better on WER ($17.4\%$) and the last one having a lower error rate on subword ($14.5\%$).
Answer: The answers are shown as follows:
* character unit the RNN-transducer with additional attention module
* For subword units, classic RNN-transducer, RNN-transducer with attention and joint CTC-attention show comparable performance
Question: How do beaver damns benefit the environment?
Evidence: Beavers build dams and lodges using tree branches, vegetation, rocks and mud; they chew down trees for building material. Dams restrict water flow, and lodges serve as shelters. Their infrastructure creates wetlands used by many other species, and because of their effect on other organisms in the ecosystem, beavers are considered a keystone species.
Answer: Although beavers build damns to protect themselves they also help generate wetlands which are natural habits for a lot of other species.  They are a key contributor to the ecosystem they live in.
Question: Given this paragraph about a train stabling complex, what was the original name of the Grove Park Sidings?
Evidence: Grove Park Sidings is a large stabling complex for suburban commuter trains in Lewisham, South East London. It is situated approximately halfway between Hither Green Station and Grove Park station.

Grove Park Sidings were previously named Hither Green Sidings, until sidings closer to Hither Green were built and took that name, causing the site to be renamed Grove Park Sidings.

It consists of two sets of sidings, one on either side of the Main line which are linked by a pedestrian footbridge. On the Down side are Bramdean sidings and the large carriage shed, whilst on the Up side are St Mildreds sidings. There is also a carriage washing plant on the inlet road of Down sidings.
Answer: Hither Green Sidings
Question: How is knowledge stored in the memory?
Evidence: There are three main components to the model: 1) input encoder 2) dynamic memory, and 3) output module. We will describe these three modules in details. The input encoder and output module implementations are similar to the Entity Network BIBREF17 and main novelty lies in the dynamic memory. We describe the operations executed by the network for a single example consisting of a document with $T$ sentences, where each sentence consists of a sequence of words represented with $K$ -dimensional word embeddings $\lbrace e_1, \ldots , e_N\rbrace $ , a question on the document represented as another sequence of words and an answer to the question.
There are three main components to the model: 1) input encoder 2) dynamic memory, and 3) output module. We will describe these three modules in details. The input encoder and output module implementations are similar to the Entity Network BIBREF17 and main novelty lies in the dynamic memory. We describe the operations executed by the network for a single example consisting of a document with $T$ sentences, where each sentence consists of a sequence of words represented with $K$ -dimensional word embeddings $\lbrace e_1, \ldots , e_N\rbrace $ , a question on the document represented as another sequence of words and an answer to the question.
Answer: entity memory and relational memory.
Question: What are the names of five of the best Pokemon cards and why?
Answer: 1) Tera Arcanine EX (it's very powerful)
2) Tera Gyarados EX (it's also very powerful)
3) Snorlax VMAX (has a lot of health points)
4) Illustrators Pikachu (it's worth a lot of money)
5) First edition Shaddowless Holo Charizard (because it's a very rare card)
Question: What is does the stars represent on the United States of America flag?
Evidence: The national flag of the United States of America (often referred to as the American flag, or the U.S. flag) consists of thirteen equal horizontal stripes of red (top and bottom) alternating with white, with a blue rectangle in the canton (referred to specifically as the "union") bearing fifty small, white, five-pointed stars arranged in nine offset horizontal rows, where rows of six stars (top and bottom) alternate with rows of five stars. The 50 stars on the flag represent the 50 U.S. states, and the 13 stripes represent the thirteen British colonies that declared independence from Great Britain, and became the first states in the U.S. Nicknames for the flag include the Stars and Stripes, Old Glory, and the Star-Spangled Banner.
Answer: The 50 stars on the United States of America flag represent the 50 U.S. states.
Question: List a few interesting ways to make a plant based Alfredo sauce.
Answer: Some of the keys ways that can vegan-ize an Alfredo sauce are:
1. Use cauliflower: Blanching and making a purée of a cauliflower can make a silky smooth  white sauce that can easily replace the daily based Alfredo. 
2. Use Tofu: silken tofu can be blended to make a white Alfredo sauce. 
3. Use Cashews: overnight soaked cashews can be blended to replace the dairy Alfredo with a plant based Alfredo 
4. Use plant based milk: almond milk can replace dairy milk in the recipe of a traditional Alfredo sauce.
Question: Who wrote the most episodes of season four of Game of Thrones?
Answer: Co-writers David Benioff and D.B. Weiss wrote seven of the ten episodes of Game of Thrones's fourth season.
Question: Given a reference text about the Recording Industry Association of America (RIAA) awards, tell me how many albums need to be sold to get an award.
Evidence: In the United States, the Recording Industry Association of America (RIAA) awards certification based on the number of albums and singles sold through retail and other ancillary markets. Other countries have similar awards (see music recording certification). Certification is not automatic; for an award to be made, the record label must first request certification. The audit is conducted against net shipments after returns (most often an artist's royalty statement is used), which includes albums sold directly to retailers and one-stops, direct-to-consumer sales (music clubs and mail order) and other outlets.

Description and qualifications

A platinum award for the album GHV2 of Madonna
A Gold record is a song or album that sells 500,000 units (records, tapes, and compact discs). The award was launched in 1958; originally, the requirement for a Gold single was one million units sold and a Gold album represented $1 million in sales (at wholesale value, around a third of the list price). In 1975, the additional requirement of 500,000 units sold was added for Gold albums. Reflecting growth in record sales, the Platinum award was added in 1976, for albums able to sell one million units, and singles selling two million units. The Multi-Platinum award was introduced in 1984, signifying multiple Platinum levels of albums and singles. In 1989, the sales thresholds for singles were reduced to 500,000 for Gold and 1,000,000 for Platinum, reflecting a decrease in sales of singles. In 1992, RIAA began counting each disc in a multi-disc set as one unit toward certification. Reflecting additional growth in music sales, the Diamond award was instituted in 1999 for albums or singles selling ten million units. Because of these changes in criteria, the sales level associated with a particular award depends on when the award was made.
Answer: As of 1989, a song or album needed to exceed a sales threshold of 500,000 for Gold and 1,000,000 for Platinum. In 1999 after a growth in music sales, the Diamond award was introduced for songs or albums that sold over 10,000,000 units.
Question: During which year Emperor Shapur II learned to play polo?
Evidence: The game's English name derives from the Balti language, from its word for 'ball', polo. It is cognate with the Standard Tibetan pulu, also meaning 'ball'.

Although the exact origins of the game are not certain, many scholars suggest it most likely began as a simple game played by Iranic and Turkic equestrian nomads in Central Asia. An archaic variation of polo, regionally referred to as buzkashi or kokpar, is still played in parts of Central Asia. It was developed and formalised in Ancient Iran (Persia) as "chovgan" (čowgān), becoming a national sport played extensively by the nobility. Women played as well as men. During the period of the Parthian Empire (247 BC to 224 AD), the sport had great patronage under the kings and noblemen. According to The Oxford Dictionary of Late Antiquity, the Persian ball game was an important pastime in the court of the Sasanian Empire (224–651). It was also part of the royal education for the Sasanian ruling class. Emperor Shapur II learnt to play polo at age seven in 316 AD.
Answer: 316 AD
Question: What are 3 to 5 creative ways to prevent deer from walking through your yard?
Answer: Deer can be a menace, but here are 5 ways to keep them out of your yard:
1. Install motion sensors that trigger sprinklers when activated
2. Completely enclose your property with a solid fence; nothing cheap that will just be pushed over
3. Get a guard dog, and train it to bark at intruding deer
4. Plant only deer-resistant shrubs and flowers; the deer won't stop by if they have nothing to eat
5. Move to a location without deer!
Question: Identify which instrument is string or percussion: Maram, Phin
Answer: Phin is string, Maram is percussion.
Question: Give me a list of 5 key challenges faced by users moving from a Windows laptop to a Macbook
Answer: 1. Incompatibility between MS office documents and MacOS native applications like pages and numbers
2. Inability to copy content on and off of the laptop easily
3. Learning the differences between the windows keyboard and the macbook keyboard commands to do simple tasks - like right click or taking a screenshot
4. The change in process to deploy software. 
5. Navigating the difference between the layout and structure of WIndows explorer vs Macbook finder
Question: When giving examples of what is a verb and what is a noun, explain which of these words falls into which category. Slowly, wipe,  tidily, fully, jump, yell, sleep, talk, hopelessly.
Answer: Wipe, jump, yell, sleep and talk are all examples of verbs. Slowly, tidily, fully and hopelessly are adverbs.
Question: When was the last financial crisis and what caused it?
Answer: The last financial crisis was from 2007-2008. It was dubbed the Global Financial Crisis (GFC) because it had severe worldwide economic impact. The Global Financial Crisis was caused by the predatory lending of low-income homebuyers, excessive risk-taking of Wall Street and the bursting of the United States hosing bubble.
Question: Make me a list of all the different ways I could tell my sister about a recent vacation
Answer: You could tell her about your vacation by writing a letter, mailing a postcard, sending an email, giving her a call, sending a text or visiting her house
Question: What is the list of ingredients for the Lebanese tabbouleh recipe?
Answer: - Parsley: finely chopped
- Tomatoes: cut in small cubes
- Bulgur wheat: soaked in room temperature water
- White and Green Onions: finely chopped
- Mint: finely chopped
- Lemon: squeezed
- Olive oil
- Salt 
- Pepper
Question: Which model generalized the best?
Evidence: Also including a pretrained ELMo language model did not improve the results significantly. The overall performance of BERT was significantly better than the other models, having the lowest average difference in accuracy of 22.5 points. Our baselines for SNLI (90.4%) and SNLI + MultiNLI (90.6%) outperform the previous state-of-the-art accuracy for SNLI (90.1%) by BIBREF24 .
 The overall performance of BERT was significantly better than the other models, having the lowest average difference in accuracy of 22.5 points.
Answer: The answers are shown as follows:
* BERT
Question: Given this paragraph about a hotel, how many stories is the Ansonia?
Evidence: The Ansonia (formerly the Ansonia Hotel) is a condominium building at 2109 Broadway, between 73rd and 74th Streets, on the Upper West Side of Manhattan in New York City. The 17-story structure was designed by French architect Paul Emile Duboy in the Beaux-Arts style. It was built between 1899 and 1903 as a residential hotel by William Earle Dodge Stokes, who named it after his grandfather, the industrialist Anson Greene Phelps. Over the years, the Ansonia has housed many conductors, opera singers, baseball players, and other famous and wealthy people. The Ansonia is a New York City designated landmark and is listed on the National Register of Historic Places.
Answer: 17 stories
Question: classify each of the following as either a city or a county: usa, mexico, cananda, syracuse, austin, mumbai, japan, tokyo
Answer: Of the list your presented, following are countries: usa, mexico, canada and japan. The following are cities: syracuse, austin, mumbai, tokyo.
Question: What is Twitch Interactive?
Evidence: Twitch is an American video live streaming service that focuses on video game live streaming, including broadcasts of esports competitions, in addition to offering music broadcasts, creative content, and "in real life" streams. Twitch is operated by Twitch Interactive, a subsidiary of Amazon.com, Inc. It was introduced in June 2011 as a spin-off of the general-interest streaming platform Justin.tv. Content on the site can be viewed either live or via video on demand. The games shown on Twitch's current homepage are listed according to audience preference and include genres such as real-time strategy games (RTS), fighting games, racing games, and first-person shooters.

The popularity of Twitch eclipsed that of its general-interest counterpart. In October 2013, the website had 45 million unique viewers, and by February 2014, it was considered the fourth-largest source of peak Internet traffic in the United States. At the same time, Justin.tv's parent company was re-branded as Twitch Interactive to represent the shift in focus – Justin.tv was shut down in August 2014. That month, the service was acquired by Amazon for US$970 million, which later led to the introduction of synergies with the company's subscription service Amazon Prime. Twitch acquired Curse LLC in 2016, an operator of online video gaming communities and introduced means to purchase games through links on streams along with a program allowing streamers to receive commissions on the sales of games that they play.

By 2015, Twitch had more than 100 million viewers per month. In 2017, Twitch remained the leading live streaming video service for video games in the US, and had an advantage over YouTube Gaming, which shut down its standalone app in May 2019. As of February 2020, it had 3 million broadcasters monthly and 15 million daily active users, with 1.4 million average concurrent users. As of May 2018, Twitch had over 27,000 partner channels.
Answer: Twitch is a video live streaming service that gained popularity by focusing on video game live streaming broadcasts.
Question: What is a good score to shoot in golf?
Answer: A good score in golf highly depends on the skill of the player. A professional can easily shoot under par by many strokes. Conversely, an amateur player can shoot anywhere from a few shots over par to over 30 shots over par. A player can also use tools that calculate their handicap, which will show them on average how much they shoot over or under par. This is a good tool for an individual to track a good or bad score during their round.
Question: What is BioASQ?
Evidence: BioASQ is a semantic indexing, question answering (QA) and information extraction challenge BIBREF0 . We participated in Task B of the challenge which is concerned with biomedical QA. More specifically, our system participated in Task B, Phase B: Given a question and gold-standard snippets (i.e., pieces of text that contain the answer(s) to the question), the system is asked to return a list of answer candidates.
The fifth BioASQ challenge is taking place at the time of writing. Five batches of 100 questions each were released every two weeks. Participating systems have 24 hours to submit their results. At the time of writing, all batches had been released.
The questions are categorized into different question types: factoid, list, summary and yes/no. Our work concentrates on answering factoid and list questions. For factoid questions, the system's responses are interpreted as a ranked list of answer candidates. They are evaluated using mean-reciprocal rank (MRR). For list questions, the system's responses are interpreted as a set of answers to the list question. Precision and recall are computed by comparing the given answers to the gold-standard answers. F1 score, i.e., the harmonic mean of precision and recall, is used as the official evaluation measure .
Most existing biomedical QA systems employ a traditional QA pipeline, similar in structure to the baseline system by weissenborn2013answering. They consist of several discrete steps, e.g., named-entity recognition, question classification, and candidate answer scoring. These systems require a large amount of resources and feature engineering that is specific to the biomedical domain. For example, OAQA BIBREF1 , which has been very successful in last year's challenge, uses a biomedical parser, entity tagger and a thesaurus to retrieve synonyms.
Our system, on the other hand, is based on a neural network QA architecture that is trained end-to-end on the target task. We build upon FastQA BIBREF2 , an extractive factoid QA system which achieves state-of-the-art results on QA benchmarks that provide large amounts of training data. For example, SQuAD BIBREF3 provides a dataset of $\approx 100,000$ questions on Wikipedia articles. Our approach is to train FastQA (with some extensions) on the SQuAD dataset and then fine-tune the model parameters on the BioASQ training set.
Note that by using an extractive QA network as our central component, we restrict our system's responses to substrings in the provided snippets. This also implies that the network will not be able to answer yes/no questions. We do, however, generalize the FastQA output layer in order to be able to answer list questions in addition to factoid questions.
BioASQ is a semantic indexing, question answering (QA) and information extraction challenge.
Answer: A semantic indexing, question answering (QA) and information extraction challenge.
Question: How soon should you make coffee after grinding the beans?
Answer: For best results, no matter the brewing method, you should make your coffee within twenty minutes of grinding the coffee beans.
Question: What is the most dangerous motorcycle race in the world?
Answer: The Isle of Man TT is most likely the deadliest motorcycle race in the world. The race takes place once a year on a small island between Ireland and the United Kingdom called Isle of Man. The very first race was held in 1907 and since then 265 riders have lost their lives.
Question: Who is the winningest college women's basketball coach?
Answer: Geno Auriemma has the most wins in NCAA women's basketball history for a head coach. He has 1180 career wins, all with the University of Connecticut.