DataHammer/scimrc huggingface dataset:
Question: Extract from this passage the the locations where the Patriots have held training camp and separate the answers with commas.
Evidence: The Patriots hold training camp and practices just outside of Gillette Stadium in Foxborough, with twin practice fields available for team use.

Prior to 2003, the Patriots held training camp and practice at numerous locations. From 1976 to 2002, the team held training camp at Bryant College in Smithfield, Rhode Island. From 1960 to 1961, then from 1969 to 1975, the Patriots held training camp at University of Massachusetts Amherst. Between 1962 and 1968, the Patriots held training camp at Phillips Academy in Andover, Massachusetts.

From 1971 until 2001, the Patriots would simply practice at Foxboro Stadium whenever the field was available, otherwise they would use the public football fields that were available in Foxborough.
Answer: Outside Gillette Stadium, Bryant College, University of Massachusetts Amherst, Philips Academy, Foxboro Stadium, the public football fields available in Foxborough
Question: Tell me whether these games are exclusives or multi-platform: The Legend of Zelda, Call of Duty, Sly Cooper, God of War, Counter-Strike, Mario, Pokemon, Halo, Dota, League of Legends.
Answer: The Legend of Zelda, Sly Cooper, God of War, Mario, Pokemon and Halo have been at least been historically advertised and classified as console exclusives: Zelda, Mario and Pokemon on Nintendo platforms, God of War and Sly Cooper on Sony Playstation platforms, Halo on Microsoft Xbox Platforms.

Lately, some of the games above, God of War and Halo, have been ported PC which makes them multi-platform games. God of War is considered as a timed exclusive to Playstation systems where the game was exclusive to the console for several years before being released to other platforms, in this case PC.

Halo has recently became PC and Xbox multi-platform dur to Microsoft's push to bring more of their console games to their PC gaming platform.

Rest of the games, Call of Duty, Counter-Strike, Dota and League of Legends are considered multi-platform as they have been released to multiple types of systems without ever being advertised as exclusive to one. 

Be mindful that releasing a game to Windows PC and Apple MacOS is considered as multi-platform.
Question: Tell me whether these states are in Eastern Time, Central Time, or neither
Answer: California, Oregon, Connecticut, Washington, Texas, Hawaii
Question: What is the highlight of their approach?
Evidence: Question answering (QA) has drawn a lot of attention in the past few years. QA tasks on images BIBREF0 have been widely studied, but most focused on understanding text documents BIBREF1 . A representative dataset in text QA is SQuAD BIBREF1 , in which several end-to-end neural models have accomplished promising performance BIBREF2 . Although there is a significant progress in machine comprehension (MC) on text documents, MC on spoken content is a much less investigated field. In spoken question answering (SQA), after transcribing spoken content into text by automatic speech recognition (ASR), typical approaches use information retrieval (IR) techniques BIBREF3 to find the proper answer from the ASR hypotheses. One attempt towards QA of spoken content is TOEFL listening comprehension by machine BIBREF4 . TOEFL is an English examination that tests the knowledge and skills of academic English for English learners whose native languages are not English. Another SQA corpus is Spoken-SQuAD BIBREF5 , which is automatically generated from SQuAD dataset through Google Text-to-Speech (TTS) system. Recently ODSQA, a SQA corpus recorded by real speakers, is released BIBREF6 .
To mitigate the impact of speech recognition errors, using sub-word units is a popular approach for speech-related downstream tasks. It has been applied to spoken document retrieval BIBREF7 and spoken term detection BIBREF8 The prior work showed that, using phonectic sub-word units brought improvements for both Spoken-SQuAD and ODSQA BIBREF5 .
Instead of considering sub-word features, this paper proposes a novel approach to mitigate the impact of ASR errors. We consider reference transcriptions and ASR hypotheses as two domains, and adapt the source domain data (reference transcriptions) to the target domain data (ASR hypotheses) by projecting these two domains in the shared common space. Therefore, it can effectively benefit the SQA model by improving the robustness to ASR errors in the SQA model.
Domain adaptation has been successfully applied on computer vision BIBREF9 and speech recognition BIBREF10 . It is also widely studied on NLP tasks such as sequence tagging and parsing BIBREF11 , BIBREF12 , BIBREF13 . Recently, adversarial domain adaptation has already been explored on spoken language understanding (SLU). Liu and Lane learned domain-general features to benefit from multiple dialogue datasets BIBREF14 ; Zhu et al. learned to transfer the model from the transcripts side to the ASR hypotheses side BIBREF15 ; Lan et al. constructed a shared space for slot tagging and language model BIBREF16 . This paper extends the capability of adversarial domain adaptation for SQA, which has not been explored yet.
Instead of considering sub-word features, this paper proposes a novel approach to mitigate the impact of ASR errors.
Answer: They propose a novel approach to mitigate the impact of ASR errors in stead of considering sub-word features.
Question: How many events were completed in first modern Olympic Games?
Answer: There were 43 events which included shot put, boxing, running...
Question: Categorize each of the following with their associated holiday, either "Christmas", "Easter" or "Halloween". Bunny, egg, cobwebs, candy bucket, candy basket, lights, Santa
Answer: Bunny: Easter, egg: Easter, cobwebs: Halloween, candy bucket: Halloween, Candy basket: Easter, lights: Christmas, Santa: Christmas
Question: Where is the best place to vacation in the Bahamas?
Answer: Harbour Island is a small island in the Bahamas, accessible via the airport at North Eleuthera. Flights leave Miami, Fort Lauderdale or Nassau, several times daily. From Florida, Harbour Island is a 45min paddle jumper flight to North Eleuthera and then a 10 minute speed boat. 
Harbour Island has 8 hotels, Coral Sands, Pink Sands, Ramora Bay, Valentines, The Rockhouse, and The Dunmore. The Landing. All are boutique hotels. Coral Sands is about 90 rooms and the largest. There are no cars allowed in Harbour Island. Everyone travels by golf cart. Restaurants are great on the Island, and no visit is complete without a visit to Daddy D's nightclub.
Question: According to this paragraph, what are the "Old Dorms" at the University of Virginia?
Evidence: The primary housing areas for first-year students are McCormick Road Dormitories, often called "Old Dorms", and Alderman Road Dormitories, often called "New Dorms". The 1970s-era Alderman Road Dorms are being fully replaced with brand new dormitory buildings in the same area. The replacements feature hall-style living arrangements with common areas and many modern amenities. Instead of being torn down and replaced like the original New Dorms, the Old Dorms will see a $105 million renovation project between 2017 and 2022. They were constructed in 1950, and are also hall-style constructions but with fewer amenities. The Old Dorms are closer to the students' classes.
Answer: The "Old Dorms" at the University of Virginia often refer to the primary housing area for first-year students on McCormick Road.
Question: What is the largest city in North America?
Answer: The largest city in North America by population is Mexico City.
Question: How many movies did director Quentin Tarantino make?
Answer: As of March 2023, Quentin Tarantino has made 10 movies. They are, in chronological order:
1. Reservoir Dogs
2. Pulp Fiction
3. Jackie Brown
4. Kill Bill: Volume 1
5. Kill Bill: Volume 2
6. Death Proof
7. Inglourious Basterds
8. Django Unchained
9. The Hateful Eight
10. Once Upon a Time in Hollywood
Question: Name some of the famous battles from the American Revolutionary War
Answer: Famous battles from the American Revolutionary War include Battle of Bunker Hill, Battles of Lexington and Concord, and Yorktown
Question: Which is a species of fish? Opah or Oprah
Answer: Opah
Question: Suggest some ranged weapons for role playing games.
Answer: Ranged weapons include the bow, shotgun, rifle and cannon.
Question: Why is University of Wisconsin Madison the best college?
Answer: UW-Madison has the best work/life balance. It's consistency ranked as one of the top academic universities in the world as well as party schools in the U.S. No wonder there are so many Fortune 500 CEOs from UW-Madison!
Question: What is the current best TV show?
Answer: Ted Lasso because of it's heart wrenching plot, amazingly developed characters & an overall positive message. It also provides example of relatability in the characters to your own personal life.
Question: Who are U2
Answer: U2 are an Irish rock band from Dublin, formed in 1976. The group consists of Bono (lead vocals and rhythm guitar), the Edge (lead guitar, keyboards, and backing vocals), Adam Clayton (bass guitar), and Larry Mullen Jr. (drums and percussion). Initially rooted in post-punk, U2's musical style has evolved throughout their career, yet has maintained an anthemic quality built on Bono's expressive vocals and the Edge's chiming, effects-based guitar sounds. Bono's lyrics, often embellished with spiritual imagery, focus on personal and sociopolitical themes. Popular for their live performances, the group have staged several ambitious and elaborate tours over their career.
Question: Why is QE research so popular?
Evidence: Quality estimation (QE) refers to the task of measuring the quality of machine translation (MT) system outputs without reference to the gold translations BIBREF0 , BIBREF1 . QE research has grown increasingly popular due to the improved quality of MT systems, and potential for reductions in post-editing time and the corresponding savings in labor costs BIBREF2 , BIBREF3 . QE can be performed on multiple granularities, including at word level, sentence level, or document level. In this paper, we focus on quality estimation at word level, which is framed as the task of performing binary classification of translated tokens, assigning “OK” or “BAD” labels.
Early work on this problem mainly focused on hand-crafted features with simple regression/classification models BIBREF4 , BIBREF5 . Recent papers have demonstrated that utilizing recurrent neural networks (RNN) can result in large gains in QE performance BIBREF6 . However, these approaches encode the context of the target word by merely concatenating its left and right context words, giving them limited ability to control the interaction between the local context and the target word.
In this paper, we propose a neural architecture, Context Encoding Quality Estimation (CEQE), for better encoding of context in word-level QE. Specifically, we leverage the power of both (1) convolution modules that automatically learn local patterns of surrounding words, and (2) hand-crafted features that allow the model to make more robust predictions in the face of a paucity of labeled data. Moreover, we further utilize stacked recurrent neural networks to capture the long-term dependencies and global context information from the whole sentence.
We tested our model on the official benchmark of the WMT18 word-level QE task. On this task, it achieved highly competitive results, with the best performance over other competitors on English-Czech, English-Latvian (NMT) and English-Latvian (SMT) word-level QE task, and ranking second place on English-German (NMT) and German-English word-level QE task.
QE research has grown increasingly popular due to the improved quality of MT systems, and potential for reductions in post-editing time and the corresponding savings in labor costs (Specia, 2011; Turchi et al., 2014).
Answer: Due to the improved quality of MT systems, and potential for reductions in post-editing time and the corresponding savings in labor costs.
Question: Is this paper the first user study on the perceived appropriateness of system responses after verbal abuse?
Evidence: This paper presents the first user study on perceived appropriateness of system responses after verbal abuse. We put strategies used by state-of-the-art systems to the test in a large-scale, crowd-sourced evaluation. The full annotated corpus contains 2441 system replies, categorised into 14 response types, which were evaluated by 472 raters - resulting in 7.7 ratings per reply.
Our results show that: (1) The user's age has an significant effect on the ratings. For example, older users find jokes as a response to harassment highly inappropriate. (2) Perceived appropriateness also depends on the type of previous abuse. For example, avoidance is most appropriate after sexual demands. (3) All system were rated significantly higher than our negative adult-only baselines - except two data-driven systems, one of which is a Seq2Seq model trained on “clean" data where all utterances containing abusive words were removed BIBREF1. This leads us to believe that data-driven response generation need more effective control mechanisms BIBREF30.
This paper presents the first user study on perceived appropriateness of system responses after verbal abuse.
Answer: Yes, it is.
Question: What is the difference between planned and prediction actions?
Evidence: Given the language instructions and the affordance-aware semantic representation (i.e., semantic map) acquired during exploration, the agent executes the subgoals sequentially. It uses a planning module (which consumes the semantic map) for navigation subgoals and an object interaction transformer for other subgoals.
Answer: In the execution phase, we refer to the actions obtained from the planner as “planned actions” for the navigation subgoals and actions obtained from  the Object Interaction Transformer as “predicted actions” for the non-navigation subgoals.
Question: Based on the following paragraph about the campuses of the University of Georgia, which types of trees can be found on the campus?
Evidence: The campuses' dominant architectural themes are Federal, Classical and Antebellum style. Though there have been many additions, changes, and augmentations, the University of Georgia's campus maintains its historic character. In 2000, the entire campus was designated as an arboretum, the University of Georgia Campus Arboretum. It is estimated to be home to about 9,000 trees with over 154 identified species including native trees such magnolias, red oaks, white oaks, and beeches, as well as non-native trees such as the North Africa Atlas cedar, the Chinese parasol and royal paulownia, and the Japanese zelkova and black pine
Answer: On the campuses of the University of Georgia one can find native tree species such as magnolias, red oaks, white oaks, and beeches. There are also non-native tree species to be found such as the North Africa Atlas cedar, the Chinese parasol and royal paulownia, and the Japanese zelkova and black pine.
Question: Tell me whether these are a breed of dog or cat: Australian Shepherd, Calico, Maine Coon, Golden Retriever, Corgi
Answer: dog, cat, cat, dog, dog
Question: What is game of Cricket?
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.
Answer: Cricket is a game played using a bat and a ball, with 11 players in each team. The surface in the centre of cricket filed is called Pitch which is 22 yards long. The batting starts with 2 player on the pitch, a batter and runner. Bowling side chooses a baller and rest of the 10 players are spread across the filed to catch the ball. Once ten batters from batting side are dismissed, the other sides gets opportunity to bat. The runs are scored by running between each end of the wicket and hitting the ball outside the boundary lines of the filed.
Question: What are a few dishes you can cook with potatoes?
Answer: There are a lot of great dishes you can cook with potatoes. A few common dishes include mashed potatoes, baked potatoes, and french fries.
Question: What are three main machine translation tasks?
Evidence: During inference, we adopt beam search with a beam size of 5 for De-En, En-Fr and En-Vi translation tasks. The length penalty is set to 0.8 for En-Fr according to the validation results, 1 for the two small datasets following the default setting of BIBREF14. We do not tune beam width and length penalty but use the setting reported in BIBREF0. The BLEU metric is adopted to evaluate the model performance during evaluation.
During inference, we adopt beam search with a beam size of 5 for De-En, En-Fr and En-Vi translation tasks.
Answer: The answers are shown as follows:
* De-En, En-Fr and En-Vi translation tasks
Question: Tell me a number of ways that one could entertain a small group of 6 year old children.
Answer: There are a quite a few ways in which to entertain a group of young children depending on their interests. Most children enjoy games, so you could find some age-appropriate board games and help them to understand the rules and play through the game. Alternatively, if you have space, you could have them play hide-and-go-seek indoors or outside, or alternatively games like 'suck in the mud' are fun for outdoor activity. For something quieter, you could find some rolls of butchers paper and drawing tools or paints and provide a theme for children to paint a mural together.
Question: What is the best way to make an AreoPress coffee
Answer: Ingredients: 30g of Coffee Medium Grind, 150-250ml of 86º Water
Steps: Rinse AreoPress filter and set aside. Invert AreoPress, place on scale, and fill with ground coffee. Tare the scale, start a timer and begin filling AreoPress with water making sure to saturate the grounds. Stop pouring when when the scale reads 100g, adjust your pour so that this process takes around 10s. Stir vigorously for 20s then place your filter and lid on the AreoPress. When the timer reads 40s press the air out of the AreoPress. When the timer reads 45s flip the areopress, placing it on top of your cup. Press the body of the AreoPress to push out the coffee. Now add between 50-150ml of water according to your taste and stir to combine. Finally, enjoy your coffee.
Question: What is the BERT?
Evidence: BERT (Bidirectional Encoder Representations from Transformers) BIBREF14 is a new language representation model, which uses bidirectional transformers to pre-train a large unlabeled corpus, and fine-tunes the pre-trained model on other tasks. BERT has been widely used and shows great improvement on various natural language processing tasks, e.g., word segmentation, named entity recognition, sentiment analysis, and question answering. We use BERT to extract contextual feature for each character instead of BiLSTM in the original work BIBREF13. To further improve the performance, we optimize the pre-training process of BERT by introducing a semantic-enhanced task.
Original google BERT is pre-trained using two unsupervised tasks, masked language model (MLM) and next sentence prediction (NSP). MLM task enables the model to capture the discriminative contextual feature. NSP task makes it possible to understand the relationship between sentence pairs, which is not directly captured by language modeling. We further design a semantic-enhanced task to enhance the performance of BERT. It incorporate previous sentence prediction and document level prediction. We pre-train BERT by combining MLM, NSP and the semantic-enhanced task together.
BERT (Bidirectional Encoder Representations from Transformers) [1] is a new language representation model, which uses bidirectional transformers to pretrain a large unlabeled corpus, and fine-tunes the pre-trained model on other tasks.
Answer: It is a new language representation model, which uses bidirectional transformers to pretrain a large unlabeled corpus, and fine-tunes the pre-trained model on other tasks.
Question: Summarise the basic rules of soccer, without using examples from the text
Evidence: The game of association football is played in accordance with the Laws of the Game, a set of rules that has been in effect since 1863 and maintained by the IFAB since 1886. The game is played with a football that is 68–70 cm (27–28 in) in circumference. The two teams compete to get the ball into the other team's goal (between the posts and under the bar), thereby scoring a goal. When the ball is in play, the players mainly use their feet, but may use any other part of their body, except for their hands or arms, to control, strike, or pass the ball. Only the goalkeepers may use their hands and arms, and only then within the penalty area. The team that has scored more goals at the end of the game is the winner. Depending on the format of the competition, an equal number of goals scored may result in a draw being declared, or the game goes into extra time or a penalty shootout.
Answer: Soccer is played between two teams of players who pass a spherical inflated ball between each other, predominantly using the feet and head, with the aim of getting the ball into the opponents goal (a rectangular opening at each end of the playing area) . The only player who can use their hands and arms is the goalkeeper, within a small area near their team's goal called the penalty area. At the end of the game, the team who has got the ball into their opponents goal most times is declared the winner.
Question: The Awards ceremony for 63rd Grammy Awards was held at which place?
Answer: Los Angeles