DataHammer/scimrc huggingface dataset:
Question: What is Cricket in sports?
Evidence: Cricket is a bat-and-ball game played between two teams of eleven players on a field at the centre of which is a 22-yard (20-metre) pitch with a wicket at each end, each comprising two bails balanced on three stumps. The batting side scores runs by striking the ball bowled at one of the wickets with the bat and then running between the wickets, while the bowling and fielding side tries to prevent this (by preventing the ball from leaving the field, and getting the ball to either wicket) and dismiss each batter (so they are "out"). Means of dismissal include being bowled, when the ball hits the stumps and dislodges the bails, and by the fielding side either catching the ball after it is hit by the bat, but before it hits the ground, or hitting a wicket with the ball before a batter can cross the crease in front of the wicket. When ten batters have been dismissed, the innings ends and the teams swap roles. The game is adjudicated by two umpires, aided by a third umpire and match referee in international matches. They communicate with two off-field scorers who record the match's statistical information.

Forms of cricket range from Twenty20, with each team batting for a single innings of 20 overs (each "over" being a set of 6 fair opportunities for the batting team to score) and the game generally lasting three hours, to Test matches played over five days. Traditionally cricketers play in all-white kit, but in limited overs cricket they wear club or team colours. In addition to the basic kit, some players wear protective gear to prevent injury caused by the ball, which is a hard, solid spheroid made of compressed leather with a slightly raised sewn seam enclosing a cork core layered with tightly wound string.
Answer: Cricket is highly popular game that's originated in south-eastern counties of England and now prominent sport in a number of countries in particular south asian countries like India, Pakistan, Sri Lanka and Bangladesh.
It is in essence a bat-and-ball game played between two teams of eleven players on a field. The batting side scores runs by striking the ball with the bat and then running between the wickets, while the bowling and fielding side tries to prevent this and dismiss each batter.
Forms of cricket range from Twenty20, one day to Test match lasting up to 5 days. The game originated as children's game is now a highly competitive professional sport followed by billions of people and in last decade commercialised at club level with the introduction of Indian Premier League (IPL).
Question: What are the rules changes made to baseball this year?
Answer: The MLB (major league baseball) association made several rule adjustments to the 2023 season. First, the bases have increased in sizes by 3 inches for a total of 18 inches squared. Second, a pitch clock/time has been introduced. Third, the defensive shift has been banned.
Question: What does kwon mean in taekwondo?
Evidence: Taekwondo, Tae Kwon Do or Taekwon-Do is a Korean form of martial arts involving punching and kicking techniques, with emphasis on head-height kicks, spinning jump kicks, and fast kicking techniques. The literal translation for tae kwon do is "kicking", "punching", and "the art or way of". They are a kind of martial arts in which one attacks or defends with hands and feet anytime or anywhere, with occasional use of weapons. The physical training undertaken in Taekwondo is purposeful and fosters strength of mind through mental armament.
Answer: 'kwon' in Korean means punching or striking with the hand
Question: Given this series of navigation instructions, determine whether one would end up back at the starting point: Take 1 step. Take 2 steps. Take 3 steps. Turn around. Take 6 steps. Turn right.
Answer: Well, I'd say yes and no. While the person would be at the starting point, he wouldn't be facing the same direction.
Question: What is the best sport?
Answer: It depends on who you ask, but as an AI language model, I cannot determine which sport is the best. The best sport for a person may differ compared to another person based on the level of athleticism and the complexity of the game required. Some of the popular sports around the world include soccer, basketball, baseball, football, tennis, cricket, and others.
Question: Which similarity datasets do they use?
Evidence: To face the previous problem, we tested our methods in a wide variety of datasets, including some that explicitly model relatedness (WS353R), some that explicitly consider similarity (WS353S, SimLex999, SimVerb3500), and some where the distinction is not clear (MEN, MTurk287, MTurk771, RG, WS353). We also included the RareWords (RW) dataset for evaluating the quality of rare word representations. See appendix:datasets for a more complete description of the datasets we used.
To face the previous problem, we tested our methods in a wide variety of datasets, including some that explicitly model relatedness (WS353R), some that explicitly consider similarity (WS353S, SimLex999, SimVerb3500), and some where the distinction is not clear (MEN, MTurk287, MTurk771, RG, WS353). 
Answer: The answers are shown as follows:
* WS353S
* SimLex999
* SimVerb3500
Question: What are some good beginner songs to learn on guitar?
Answer: The following are good songs a beginner can learn on guitar:

- Smoke on the Water by Deep Purple
- Brown Eyed Girl by Van Morrison
- Heart of Gold by Neil Young
- Seven Nation Army by The White Stripes
- What's Up? by 4 Non Blondes
- Wild Thing by The Troggs
- Wonderwall by Oasis
Question: Classify the following as indoor, outdoor, activities or both: basketball, hiking, soccer, rock climbing, mountaineering, swimming.
Answer: Basketball, soccer, rock climbing and swimming are both indoor and outdoor activities. Mountaineering and hiking are outdoor activities.
Question: How big are the datasets used?
Evidence: We evaluate our approaches on two public Chinese span-extraction machine reading comprehension datasets: CMRC 2018 (simplified Chinese) BIBREF8 and DRCD (traditional Chinese) BIBREF9. The statistics of the two datasets are listed in Table TABREF29.
Note that, since the test and challenge sets are preserved by CMRC 2018 official to ensure the integrity of the evaluation process, we submitted our best-performing systems to the organizers to get these scores. The resource in source language was chosen as SQuAD BIBREF4 training data. The settings of the proposed approaches are listed below in detail.
Translation: We use Google Neural Machine Translation (GNMT) system for translation. We evaluated GNMT system on NIST MT02/03/04/05/06/08 Chinese-English set and achieved an average BLEU score of 43.24, compared to previous best work (43.20) BIBREF17, yielding state-of-the-art performance.
FLOAT SELECTED: Table 1: Statistics of CMRC 2018 and DRCD.
We evaluate our approaches on two public Chinese span-extraction machine reading comprehension datasets: CMRC 2018 (simplified Chinese) BIBREF8 and DRCD (traditional Chinese) BIBREF9. The statistics of the two datasets are listed in Table TABREF29.
The resource in source language was chosen as SQuAD BIBREF4 training data.
We evaluated GNMT system on NIST MT02/03/04/05/06/08 Chinese-English set and achieved an average BLEU score of 43.24, compared to previous best work (43.20) BIBREF17, yielding state-of-the-art performance.
FLOAT SELECTED: Table 1: Statistics of CMRC 2018 and DRCD.
Answer: Evaluation datasets used:
CMRC 2018 - 18939 questions, 10 answers
DRCD - 33953 questions, 5 answers
NIST MT02/03/04/05/06/08 Chinese-English - Not specified

Source language train data:
SQuAD - Not specified
Question: Give me a list of ways to express your love to someone
Answer: 1. Write them a card
2. Text them a beautiful message
3. Send them some flowers
4. Organise a date out
5. Take a walk and tell them how you feel
6. Spend quality time with them
Question: What are some of the most well-known castles in the Loire Valley in France?
Answer: The list of castles includes Château de Cheverny, Château de Chambord, Château de Chenonceau, Château d'Azay-le-Rideau, Château de Villandry, Château d'Amboise, and Château de Chaumont.
Question: How is morphology knowledge implemented in the method?
Evidence: The problem with morpheme segmentation is that the vocabulary of stem units is still very large, which leads to many rare and unknown words at the training time. The problem with BPE is that it do not consider the morpheme boundaries inside words, which might cause a loss of morphological properties and semantic information. Hence, on the analyses of the above popular word segmentation methods, we propose the morphologically motivated segmentation strategy that combines the morpheme segmentation and BPE for further improving the translation performance of NMT.
Compared with the sentence of word surface forms, the corresponding sentence of stem units only contains the structure information without considering morphological information, which can make better generalization over inflectional variants of the same word and reduce data sparseness BIBREF8. Therefore, we learn a BPE model on the stem units in the training corpus rather than the words, and then apply it on the stem unit of each word after morpheme segmentation.
The problem with morpheme segmentation is that the vocabulary of stem units is still very large, which leads to many rare and unknown words at the training time. 
Therefore, we learn a BPE model on the stem units in the training corpus rather than the words, and then apply it on the stem unit of each word after morpheme segmentation.
Answer: A BPE model is applied to the stem after morpheme segmentation.
Question: How do you play chess?
Answer: Chess is a game that is played on a checkerboard, which is composed of 64 alternating black and white squares that indicate where a player's pieces can be placed. There are six different types of pieces in chess, including: Pawns, Rooks, Bishops, Knights, a Queen, and a King. Each of these pieces can move on the board in different ways. The goal of the game is to utilize your pieces to capture your opponent's king. In a game of chess, players alternate turns moving one piece at a time. When a player moves a piece, they are either positioning the piece on an open square where no other piece is currently on, or they are capturing an opponent's piece. To win a game of chess, players will balance strategically positioning their pieces and capturing their opponent's pieces. Doing so will allow a player to have the opportunity to put their opponent in a position called "Checkmate". When a player is checkmated, it means that their King is in an attacking line of one or more of their opponent's pieces and they have no legal moves to escape this attack. If a player is checkmated, they have lost the game.
Question: Name the affiliates of the Tata Group.
Evidence: The Tata Group (/ˈtɑːtɑː/) is an Indian multinational conglomerate headquartered in Mumbai. Established in 1868, it is India's largest conglomerate, with products and services in over 150 countries, and operations in 100 countries across six continents. Acknowledged as the founder of the Tata Group, Jamsetji Tata is sometimes referred to as the "father of Indian industry".
Each Tata company operates independently under the guidance and supervision of its own board of directors and shareholders. Philanthropic trusts control over 66% of the Tata holding company Tata Sons, while the Tata family is a very small shareholder.
The group's annual revenue for fiscal year 2021–22 was reported to be US$128 billion. There are 29 publicly-listed Tata Group companies with a combined market capitalisation of $311 billion as of March 2022. The company has operations across Asia, Africa, America, and Middle East. Significant Tata Group affiliates include Tata Consultancy Services, Tata Consumer Products, Tata Motors, Tata Power, Tata Steel, Voltas, Titan Company, Tanishq, Tata Chemicals, Tata Communications, Trent, Tata Elxsi, Indian Hotels Company, Air India, TajAir, Tata Cliq, Tata Advanced Systems, Tata Capital, Cromā, BigBasket and Tata Starbucks.
Answer: Significant Tata Group affiliates include Tata Consultancy Services, Tata Consumer Products, Tata Motors, Tata Power, Tata Steel, Voltas, Titan Company, Tanishq, Tata Chemicals, Tata Communications, Trent, Tata Elxsi, Indian Hotels Company, Air India, TajAir, Tata Cliq, Tata Advanced Systems, Tata Capital, Cromā, BigBasket and Tata Starbucks.
Question: Is my children's school information available to anyone on the Internet?
Answer: Although the website is accessible over the internet, access to your student’s information is secured by a username and password. Parents can view information about their children only. They cannot access the records of other students. The application is hosted within your children's school district infrastructure – no third-party vendor is hosting this.
Question: What does the performance of RAMEN correlate with?
Evidence: In this work, we have presented a simple and effective approach for rapidly building a bilingual LM under a limited computational budget. Using BERT as the starting point, we demonstrate that our approach produces better than mBERT on two cross-lingual zero-shot sentence classification and dependency parsing. We find that the performance of our bilingual LM, RAMEN, correlates with the performance of the original pre-trained English models. We also find that RAMEN is also a powerful feature extractor in supervised dependency parsing. Finally, we hope that our work sparks of interest in developing fast and effective methods for transferring pre-trained English models to other languages.
We find that the performance of our bilingual LM, RAMEN, correlates with the performance of the original pretrained English models.
Answer: The performance of the original pretrained English models.
Question: Why is Stephen Curry the best player in the NBA?
Answer: Stephen Curry is arguably the best player in the NBA today. Stephen Curry is a transcendent NBA superstar and an all-time great. Despite being relatively undersized by NBA standards at 6 foot 2 inches and 185 pounds, he has been a highly productive NBA player. Stephen Curry possesses the greatest 3-point shooting ability in NBA history. In 2022, he surpassed Ray Allen to become the all-time leader in 3-pointers made. That said, Stephen Curry's highly accurate 3-point shooting is not the only unique skill Curry brings to the court. He also possesses the uncanny ability to use off-ball movement, ball-handling skills, and a lightning fast release to create quality shots. The results of Stephen Curry's amazing skillset are evident through his career accolades. He is a 4-time NBA champion, 2-time MVP, and an NBA Finals MVP.
Question: Write a mother’s negative review for a dentist office with a dirty waiting room.
Answer: Would not recommend!! I would give zero stars if I could. I took my children to this dentist to have their teeth cleaned and was absolutely disgusted by the state of the waiting room. The seats were stained and it looked like the floor hadn’t been cleaned in weeks. How hard it is to vacuum every now and then? I was afraid to let the kids touch anything and this is simply unacceptable for any kind of medical clinic. There are many other places in the area that keep their facility clean. Avoid this business!
Question: Please list the main dog predators according to the passage
Evidence: Although dogs are the most abundant and widely distributed terrestrial carnivores, feral and free-ranging dogs' potential to compete with other large carnivores is limited by their strong association with humans. For example, a review of the studies in dogs' competitive effects on sympatric carnivores did not mention any research on competition between dogs and wolves. Although wolves are known to kill dogs, they tend to live in pairs or in small packs in areas where they are highly persecuted, giving them a disadvantage facing large dog groups.

Wolves kill dogs wherever they are found together. In some instances, wolves have displayed an uncharacteristic fearlessness of humans and buildings when attacking dogs to the extent that they have to be beaten off or killed. Although the numbers of dogs killed each year are relatively low, it induces a fear of wolves entering villages and farmyards to take dogs and losses of dogs to wolves have led to demands for more liberal wolf hunting regulations.

Coyotes and big cats have also been known to attack dogs. In particular, leopards are known to have a preference for dogs and have been recorded to kill and consume them, no matter what their size. Siberian tigers in the Amur River region have killed dogs in the middle of villages. This indicates that the dogs were targeted. Amur tigers will not tolerate wolves as competitors within their territories, and the tigers could be considering dogs in the same way. Striped hyenas are known to kill dogs in their range.
Answer: wolves, Coyotes, leopards, Siberian tigers, Striped hyenas
Question: Which sentiment analysis data set has a larger performance drop when a 10% error is introduced?
Evidence: Let us discuss the results from the above mentioned experiments. We show the plots of accuracy vs noise for each of the tasks. For IMDB, we fine tune the model for the sentiment analysis task. We plot F1 score vs % of error, as shown in Figure FIGREF6. Figure FIGREF6imdba shows the performance after fine tuning for 10 epochs, while Figure FIGREF6imdbb shows the performance after fine tuning for 50 epochs.
Similarly, Figure FIGREF9ssta and Figure FIGREF9sstb) shows F1 score vs % of error for Sentiment analysis on SST-2 dataset after fine tuning for 10 and 50 epochs respectively.
FLOAT SELECTED: Figure 3: F1 score vs % of error for Sentiment analysis on IMDB dataset
We show the plots of accuracy vs noise for each of the tasks. For IMDB, we fine tune the model for the sentiment analysis task. We plot F1 score vs % of error, as shown in Figure FIGREF6. Figure FIGREF6imdba shows the performance after fine tuning for 10 epochs, while Figure FIGREF6imdbb shows the performance after fine tuning for 50 epochs.
Similarly, Figure FIGREF9ssta and Figure FIGREF9sstb) shows F1 score vs % of error for Sentiment analysis on SST-2 dataset after fine tuning for 10 and 50 epochs respectively.
FLOAT SELECTED: Figure 3: F1 score vs % of error for Sentiment analysis on IMDB dataset
Answer: SST-2 dataset
Question: Given a reference text about Minister for Food, Agriculture and Fisheries of Denmark, when was the position created and was was it named?
Evidence: Minister for Food, Agriculture and Fisheries of Denmark (Danish: Minister for Fødevarer, Landbrug og Fiskeri) is the politically appointed head of the Danish Ministry of Food, Agriculture and Fisheries, and a member of the Cabinet. Since 19 November 2020, Rasmus Prehn, from the social democratic party Socialdemokratiet, has served as Minister for Food, Agriculture and Fisheries in the Mette Frederiksen I cabinet.

The ministry and the minister post was created in 1896; the ministry was originally named the Ministry of Agriculture. In 1929 the Directorate of Fishing was spun off into the separate Ministry of Shipping and Fishing, but that ministry was reabsorbed in 1935, and the name changed to Ministry of Agriculture and Fishing. In 1947 the Ministry of Fishing was created again, and the name changed to the Ministry of Agriculture, and this time it lasted until 1994 where it was again folded into the Ministry of Agriculture and Fishing. On 30 December 1996 the name of the ministry was changed to the current Ministry of Food, Agriculture and Fisheries, often just called the Ministry of Food.
Answer: The Minister for Food, Agriculture and Fisheries of Denmark position was created in 1896 and was originally named the Ministry of Agriculture.
Question: What is current state-of-the-art model?
Evidence: We first evaluate our model on MultiWOZ 2.0 dataset as shown in Table TABREF16. We compare with five published baselines. TRADE BIBREF3 is the current published state-of-the-art model. It utilizes an encoder-decoder architecture that takes dialogue contexts as source sentences, and takes state annotations as target sentences. SUMBT BIBREF17 fine-tunes a pre-trained BERT model BIBREF11 to learn slot and utterance representations. Neural Reading BIBREF18 learns a question embedding for each slot, and predicts the span of each slot value. GCE BIBREF7 is a model improved over GLAD BIBREF6 by using a slot-conditioned global module. Details about baselines are in Section SECREF6.
Table TABREF24 shows the results on WOZ $2.0$ dataset. We compare with four published baselines. SUMBT BIBREF17 is the current state-of-the-art model on WOZ 2.0 dataset. It fine-tunes a pre-trained BERT model BIBREF11 to learn slot and utterance representations. StateNet PSI BIBREF5 maps contextualized slot embeddings and value embeddings into the same vector space, and calculate the Euclidean distance between these two. It also learns a joint model of all slots, enabling parameter sharing between slots. GLAD BIBREF6 proposes to use a global module to share parameters between slots and a local module to learn slot-specific features. Neural Beflief Tracker BIBREF4 applies CNN to learn n-gram utterance representations. Unlike prior works that transfer knowledge between slots by sharing parameters, our model implicitly transfers knowledge by formulating each slot as a question and learning to answer all the questions. Our model has a $1.24\%$ relative joint accuracy improvement over StateNet PSI. Although SUMBT achieves higher joint accuracy than DSTQA on WOZ $2.0$ dataset, DSTQA achieves better performance than SUMBT on MultiWOZ $2.0$ dataset, which is a more challenging dataset.
We first evaluate our model on MultiWOZ 2.0 dataset as shown in Table TABREF16. We compare with five published baselines. TRADE BIBREF3 is the current published state-of-the-art model.
Table TABREF24 shows the results on WOZ $2.0$ dataset. We compare with four published baselines. SUMBT BIBREF17 is the current state-of-the-art model on WOZ 2.0 dataset.
Answer: The answers are shown as follows:
* SUMBT BIBREF17 is the current state-of-the-art model on WOZ 2.0
* TRADE BIBREF3 is the current published state-of-the-art model
Question: Why is Pickleball sport so popular
Answer: Pickleball is so popular because anyone can get started fairly easily, as the equipment is not expensive, and there are lot of freely available public courts to play. It is also an easy sport to quickly pick up and able to play at a decent level recreationally and competitively.
Question: What are the most important metrics for a Sales Leader?
Answer: Pipeline, Pipeline Coverage, Salescycle time, conversion rate, MQOs, SQOs, MQLs, Quota Attainment %