DataHammer/scimrc huggingface dataset:
Question: According to this paragraph about the University of Virginia, where did Edgar Allan Poe live during his time at the university?
Evidence: It is considered a great honor to be invited to live on The Lawn, and 54 fourth-year undergraduates do so each year, joining ten members of the faculty who permanently live and teach in the Pavilions there. Similarly, graduate students may live on The Range. Edgar Allan Poe formerly lived in 13 West Range, and since 1904 the Raven Society has retrofitted and preserved his room much as it may have existed in the 1820s.
Answer: Edgar Allen Poe lived in 13 West Range on The Lawn at the University of Virginia.
Question: What is used as a classifier?
Evidence: Several works have been proposed to learn multilingual word embeddings, which are then combined to perform cross-lingual document classifications. These word embeddings are trained on either word alignments or sentence-aligned parallel corpora. To provide reproducible benchmark results, we use MultiCCA word embeddings published by BIBREF3 .
There are multiple ways to combine these word embeddings for classification. We train a simple one-layer convolutional neural network (CNN) on top of the word embeddings, which has shown to perform well on text classification tasks regardless of training data size BIBREF4 . Specifically, convolutional filters are applied to windows of word embeddings, with a max-over-time pooling on top of them. We freeze the multilingual word embeddings while only training the classifier. Hyper-parameters such as convolutional output dimension, window sizes are done by grid search over the Dev set of the same language as the train set.
We use a one hidden-layer MLP as classifier.
Answer: One hidden-layer MLP.
Question: Give me a list of actresses who won an Oscar in the last 5 years.
Answer: 1. Michelle Yeoh 2022
2. Jessica Chastain, 2021
3. Frances McDormand, 2020
4. Renée Zellweger, 2019
5. Olivia Colman, 2018
Question: Make a list of pets you would want if you knew they wouldn’t bite you
Answer: 1. Tiger
2. Lion
3. Alligator 
4. Polar Bear
5. Killer Whale
6. Pit Viper
7. Jaguar
8. Dinosaur 
9. Shark
10. Wolf
Question: What is Color of the world
Evidence: "Colour the World" is a song by German production group Sash! featuring Nigerian-Swedish recording artist and producer Dr. Alban. It was released in 1999 via Mighty, Club Tools, and Multiply Records as the fourth and final single from the group's second studio album, Life Goes On (1998). It was successful in a number of European countries and reached number 15 on the UK Singles Chart.
Answer: Track listing
All lyrics are written by Dr. Alban, Ralf Kappmeier, Sascha Lappessen, Thomas Alisson; all music is composed by Ralph Kappmaier, Thomas Allison, Sascha Lappessen.

No.	Title	Length
1.	"Colour the World" (Single)	3:35
2.	"Colour the World" (Extended Mix)	6:00
3.	"Colour the World" (Dario G. Remix)	4:02
4.	"Colour the World" (ATB Remix)	5:51
5.	"Colour the World" (DJ Delicious Remix)	6:52
6.	"Colour the World" (Dale Cooper & Vincent Price Remix)	6:19
Total length:	32:39
Credits
Design – Michael Kowalkowski
Lyrics – Dr. Alban, Ralf Kappmeier, Sascha Lappessen, Thomas Alisson
Mastering – J. Quincy Kramer
Music – Ralf Kappmeier, Sascha Lappessen, Thomas Alisson
Producer – Sash!, Tokapi
Vocals – Dr. Alban
Question: Who regulates companies in Australia?
Answer: The Australian Securities and Investments Commission (ASIC) regulates financial services and consumer credit, and authorised financial markets operating in Australia.
Question: How were the feature representations evaluated?
Evidence: Our work extends these explorations of the geometry of internal representations. Investigating how BERT represents syntax, we describe evidence that attention matrices contain grammatical representations. We also provide mathematical arguments that may explain the particular form of the parse tree embeddings described in BIBREF8 . Turning to semantics, using visualizations of the activations created by different pieces of text, we show suggestive evidence that BERT distinguishes word senses at a very fine level. Moreover, much of this semantic information appears to be encoded in a relatively low-dimensional subspace.
To formalize what it means for attention matrices to encode linguistic features, we use an attention probe, an analog of edge probing BIBREF11 . An attention probe is a task for a pair of tokens, $(token_i, token_j)$ where the input is a model-wide attention vector formed by concatenating the entries $a_{ij}$ in every attention matrix from every attention head in every layer. The goal is to classify a given relation between the two tokens. If a linear model achieves reliable accuracy, it seems reasonable to say that the model-wide attention vector encodes that relation. We apply attention probes to the task of identifying the existence and type of dependency relation between two words.
Turning to semantics, using visualizations of the activations created by different pieces of text, we show suggestive evidence that BERT distinguishes word senses at a very fine level. 
We apply attention probes to the task of identifying the existence and type of dependency relation between two words.
Answer: The answers are shown as follows:
* attention probes
* using visualizations of the activations created by different pieces of text
Question: Extract all the airports listed in this reference paragraph
Evidence: In 1947, a tense diplomatic and military standoff began to unfold between the United States, the United Kingdom and the Soviet Union over the future of Germany. The Americans and Western European allies wanted to include the sectors of Germany which they controlled in the Marshall Plan, an economic plan to rebuild Europe after the devastation of the war. The Soviets perceived the Marshall Plan to be the foundation for an anti-Soviet alliance and pressured the Americans, British and French to back down. On 20 March 1948, the Soviet representative walked out of the meeting of the Allied Control Council, and on 31 March 1948, the United States Congress approved funding for the Marshall Plan. Soviet troops then began to block the corridor that brought supplies from the western zones of Germany to West Berlin. In response, an increased number of aircraft brought supplies by air from west Germany to Tempelhof airfield in the American sector and Gatow airfield in the British sector of Berlin. At the same time Soviet military aircraft began to violate airspace in West Berlin and harass (or what the military called "buzz") flights in and out of West Berlin. Despite the danger of flying in such conditions, civilian aircraft continued to fly in and out of Berlin.
Answer: Tempelhof, Gatow
Question: What is the format of an email?
Answer: Emails contain a username, the @ symbol, and a website domain. The website domain must contain a "." (dot), where the left and right side of the dot are nonempty. For example, lorem.ipsum@dolor.com is an email.
Question: If playing golf, categorize which of the following parts of the course would be considered 'hazards', which would be 'safe', and which would be 'neither': The green, a sand trap, a stream, the fairway, the club house, and the tee box.
Answer: The green, fairway, and tee box would all be safe, while a sand trap and a stream would be hazards, and the club house would be neither.
Question: What are the most popular dishes to bring to a potluck?
Answer: Since potlucks are designed to scale out the food preparation efforts while providing a diverse menu, items that are easy to prepare in large quantities and that appeal to a lot of different people are most commonly brought. For example, meatballs are relatively inexpensive, widely enjoyed, and easy to be kept warm in crockpot. Items like chicken wings are popular for many of the same reasons. Salads are also a good choice because they don not need to be kept hot. Items that require immediate serving are typically avoided because the dishes need to be prepared, then travel to the locality of the event, and as such create logistical and quality problems. Other items are ones that people typically take pride in, like chili, or ethnic staples that expose people to new tastes and cultures.
Question: Give me a listing of ways I can incorporate physical activity into my daily routine.
Answer: Incorporating physical activity into your daily routine can come in many forms. Some examples include standing, walking, running, jogging, and walking the dog. You can also incorporate physical activity into everyday activities such as parking further away from the store's entrance in order to walk more.
Question: What are some typical characteristics of a Persian cat?
Answer: Persian cats generally tend to be medium-sized cats with long-haired, fluffy coats, small, rounded ears, flatter faces, and small noses. They also have round heads and have the appearance of bigger eyes.
Question: What is the negative side effect of the "fire power" on Fargus?
Evidence: Pandemonium 2 is a psychedelic 2.5D game; specifically, it renders characters and environments with polygons and uses a 3D camera to create the appearance of 3-D, while gameplay is actually on a 2-D plane. Players can choose to be either Nikki or Fargus - who each have different specialties - with the option to change for each level. The player characters' abilities have been expanded over those in Pandemonium! with the ability to climb ropes, crawl, and pull themselves up ledges. During the quest, players can earn extra lives by collecting treasure.

Unique powers collected during gameplay may replace, extend or add to previous powers, depending on which character is in play and which power has been obtained. The characters handle the unique powers differently. For instance, collecting the "fire power" allows Nikki to shoot destructive fireballs, while it grants Fargus invincibility and a deadly touch, but requires him to constantly move forward. Machines and equipment are also available throughout the game, although they are tied to certain areas.
Answer: It requires him to constantly move forward.
Question: Extract the reason why was Mark Hunt known as the King of Walk Offs
Evidence: Mark Richard Hunt (born 23 March 1974) is a New Zealand former mixed martial artist and kickboxer of Samoan descent, currently living in Sydney, Australia. Hunt competed in the Ultimate Fighting Championship (UFC) until 2018 and was the winner of the 2001 K-1 World Grand Prix. He is known as "King of Walk-Offs" due to his popularization of walking away and stopping attacks before the referee officially ends the match.
Answer: Mark Hunt was a mixed martial artist and kickboxer who would walk away and stop his attacks before the referee officially ended the match.
Question: Why should one travel the world?
Answer: As the son of a U.S. Diplomat, I've had the opportunity to live abroad most of my life in countries such as Cambodia, Australia, South Korea and Malaysia. Through my travels despite the sad goodbyes to friends and family, I learned the importance of being open-minded, resilient and open to a diverse network. When you travel abroad you experience a world you may have never considered or a culture that shows you the diversity of the world. This is important for personal development.
Question: Given the reference text about the science fiction novel Neuromancer, tell me the novel's author and the name of the main protagonist.
Evidence: Neuromancer is a 1984 science fiction novel by American-Canadian writer William Gibson. Considered one of the earliest and best-known works in the cyberpunk genre, it is the only novel to win the Nebula Award, the Philip K. Dick Award, and the Hugo Award. It was Gibson's debut novel and the beginning of the Sprawl trilogy. Set in the future, the novel follows Henry Case, a washed-up hacker hired for one last job, which brings him in contact with a powerful artificial intelligence.
Answer: Neuromancer was written by William Gibson and its main protagonist is Henry Case.
Question: Why are Asian women’s fancy clothes so expensive
Answer: The traditional Asian clothes are made using lots of expensive materials and a huge labour effort. On the average fancy clothes can take somewhere between 10 to 30 days and less fancy clothes takes somewhere between 5 to 10 days. 
The good tailors who understand client requirements are very hard to find and have limited capacity to fulfil large number of orders. As this is manual labour, automation can not help especially for customised sizes and designs.
The raw material used as well as expensive cloth increases the cost and requires lots of thought and aesthetic sense to make it look nice. You are paying for the quality as well as the unique custom design. 
Asian wedding clothes are normally the most expensive. Some high end brands use gold and silver threads to make the wedding day dress even more prestigious. An average wedding dress can cost from tens of thousands to hundreds of thousands of dollars.
Question: What are five hobbies I can do in my spare time?
Answer: Hobbies can be a great way to spend your free time and can also help you learn and grow as a person. Five popular hobbies include Learning a new language, watching TV and movies, playing the piano, taking photographs, and exercising.
Question: What are some of the best things about a summertime visit to Mount Desert Island, Maine?
Answer: Mount Desert Island is wonderful in the summer, with some of the best things about it being a bike ride on the carriage roads, sitting on rocks at Little Hunter's Beach, eating lobster at Beal's Lobster Pier, going for a walk on Sand Beach, hiking up Champlain Mountain, browsing the shops of Bar Harbor, and driving the scenic Park Loop Road.
Question: What is the initial dropout rate?
Evidence: The articles from the newspaper were fed in spaCy library into the proper format for training. Different parameters were tested, in order to get the optimal result. The dataset was shuffled, using the same seed for all the experiments and was split into a train set (70%), a test set (20%) and a validation set (10%). Information was passed through the training algorithm in batches with an increasing batch size from 4 to 32 and a step of 1.001. Additionally, a dropout rate was configured in every batch, initialized to 0.6 which dropped during the training process to 0.4. Most of the experiments were trained using 30 epochs.
The main area of study for the experiments focuses on three important components. At first, we investigate the difference in results between part of speech taggers that classify morphological features and taggers that detect only the part of speech. Moreover, we explore the significance of pretrained vectors used from a model and their effect on the extraction of better results. Most importantly, the usage of subwords of tokens from a tagger as embeddings is issued. For the experiments, precision, recall and f1 score are used as evaluation metrics.
Additionally, a dropout rate was configured in every batch, initialized to 0.6 which dropped during the training process to 0.4.
Answer: 0.6.
Question: What is photosynthesis?
Answer: Photosynthesis is the biological process by which plants use carbon dioxide, sunlight and water to create oxygen and energy.
Question: Classify the below states based on east or west coast.
Rhode Island, South Carolina, Vermont, Alaska, Hawaii
Answer: East Coast - Rhode Island, South Carolina, Vermont
West Coast - Alaska and Hawaii
Question: What are the national languages of Switzerland?
Answer: The national languages of Switzerland are German, French, Italian, and Romansh.
Question: How did they induce the CFG?
Evidence: In this paper, we propose a novel approach to joint learning of ontology and semantic parsing, which is designed for homogeneous collections of text, where each fact is usually stated only once, therefore we cannot rely on data redundancy. Our approach is text-driven, semi-automatic and based on grammar induction. It is presented in Figure 1 .The input is a seed ontology together with text annotated with concepts from the seed ontology. The result of the process is an ontology with extended instances, classes, taxonomic and non-taxonomic relations, and a semantic parser, which transform basic units of text, i.e sentences, into semantic trees. Compared to trees that structure sentences based on syntactic information, nodes of semantic trees contain semantic classes, like location, profession, color, etc. Our approach does not rely on any syntactic analysis of text, like part-of-speech tagging or dependency parsing. The grammar induction method works on the premise of curriculum learning BIBREF7 , where the parser first learns to parse simple sentences, then proceeds to learn more complex ones. The induction method is iterative, semi-automatic and based on frequent patterns. A context-free grammar (CFG) is induced from the text, which is represented by several layers of semantic annotations. The motivation to use CFG is that it is very suitable for the proposed alternating usage of top-down and bottom-up parsing, where new rules are induced from previously unparsable parts. Furthermore, it has been shown by BIBREF8 that CFGs are expressive enough to model almost every language phenomena. The induction is based on a greedy iterative procedure that involves minor human involvement, which is needed for seed rule definition and rule categorization. Our experiments show that although the grammar is ambiguous, it is scalable enough to parse a large dataset of sentences.
The grammar induction method works on the premise of curriculum learning BIBREF7 , where the parser first learns to parse simple sentences, then proceeds to learn more complex ones. The induction method is iterative, semi-automatic and based on frequent patterns. A context-free grammar (CFG) is induced from the text, which is represented by several layers of semantic annotations.
Answer: The answers are shown as follows:
* the parser first learns to parse simple sentences, then proceeds to learn more complex ones. The induction method is iterative, semi-automatic and based on frequent patterns
Question: Which distributional methods did they consider?
Evidence: Most unsupervised distributional approaches for hypernymy detection are based on variants of the Distributional Inclusion Hypothesis BIBREF8 , BIBREF9 , BIBREF10 , BIBREF11 , BIBREF4 . Here, we compare to two methods with strong empirical results. As with most DIH measures, they are only defined for large, sparse, positively-valued distributional spaces. First, we consider WeedsPrec BIBREF8 which captures the features of INLINEFORM0 which are included in the set of a broader term's features, INLINEFORM1 : DISPLAYFORM0
Second, we consider invCL BIBREF11 which introduces a notion of distributional exclusion by also measuring the degree to which the broader term contains contexts not used by the narrower term. In particular, let INLINEFORM0
Although most unsupervised distributional approaches are based on the DIH, we also consider the distributional SLQS model based on on an alternative informativeness hypothesis BIBREF10 , BIBREF4 . Intuitively, the SLQS model presupposes that general words appear mostly in uninformative contexts, as measured by entropy. Specifically, SLQS depends on the median entropy of a term's top INLINEFORM0 contexts, defined as INLINEFORM1
For completeness, we also include cosine similarity as a baseline in our evaluation.
First, we consider WeedsPrec BIBREF8 which captures the features of INLINEFORM0 which are included in the set of a broader term's features, INLINEFORM1 : DISPLAYFORM0

Second, we consider invCL BIBREF11 which introduces a notion of distributional exclusion by also measuring the degree to which the broader term contains contexts not used by the narrower term.
Although most unsupervised distributional approaches are based on the DIH, we also consider the distributional SLQS model based on on an alternative informativeness hypothesis BIBREF10 , BIBREF4 .
For completeness, we also include cosine similarity as a baseline in our evaluation.
Answer: The answers are shown as follows:
* WeedsPrec BIBREF8
* invCL BIBREF11
* SLQS model
* cosine similarity
Question: When was Anfield football stadium built?
Evidence: Anfield is a football stadium in Anfield, Liverpool, Merseyside, England, which has a seating capacity of 53,394, making it the seventh largest football stadium in England. It has been the home of Liverpool F.C. since their formation in 1892. It was originally the home of Everton from 1884 to 1891, before they moved to Goodison Park after a dispute with the club president.

The stadium has four stands: the Spion Kop, the Main Stand, the Sir Kenny Dalglish Stand and the Anfield Road End. The record attendance of 61,905 was set at a match between Liverpool and Wolverhampton Wanderers in 1952. The ground converted to an all-seater stadium in 1994 as a result of the Taylor Report, which reduced its capacity.

Two gates at the stadium are named after former Liverpool managers: Bill Shankly and Bob Paisley. Both managers have been honoured with statues outside the stadium: Shankly's unveiled in 1997 by the Kop Stand and Paisley's in 2020 by the Main Stand. The ground is 2 miles (3 km) from Liverpool Lime Street railway station. It was proposed in 2002 to replace the stadium with a new one in the adjacent Stanley Park, but after the acquisition of Liverpool F.C. by Fenway Sports Group in 2010 it was made clear this would not happen.

Construction for an extension to the main stand began on 8 December 2014. This extension, one of the largest all-seater single stands in European football, opened to the public on 9 September 2016, increasing the stadium capacity to 53,394. The Anfield Road Stand is currently being redeveloped to bring the stadium capacity to around 61,000. It is due to be completed in time for the 2023–24 season.
Answer: Anfield was built in 1884 and first occupied by and has been redeveloped many times over the years. The most recent redevelopment was in 2022 on The Anfield Road Stand which brought the total capacity of the stadium to around 61,000.
Question: What would be the pros and cons of replacing all civilian airplanes with dirigibles?
Answer: Replacing all civilian airplanes with dirigibles would have positive and negative effects. The most notable positive effect would be reduced environmental impact: although dirigibles, like airplanes, need engines, dirigibles are filled with lighter-than-air gas and therefore no power is needed to counteract gravity, so they consume less fuel. However, there would be a significant negative economic impact because dirigibles fly much more slowly than airplanes, thus the items airplanes carry (e.g. people and freight) would take much longer to get to their destination. In addition, another problem with dirigibles is that they are less able to handle strong winds compared to airplanes, so it might be necessary for the dirigible to take a more circuitous route than an airplane, or simply delay the flight until the bad weather passes.
Question: How many runs did Sachin score in the 2011 world cup?
Evidence: 2003: Cricket World Cup
Tendulkar made 673 runs in 11 matches in the 2003 Cricket World Cup, helping India reach the final. While Australia won, Tendulkar was given the Man of the Tournament award.

He continued to score heavily in ODI cricket that year, with two hundreds in a tri-series involving New Zealand and Australia. As a part-time bowler, he dismissed an exhausted centurion, Matthew Hayden, in the tri-series final.
Answer: Tendulkar made 673 runs in 11 matches in the 2003 Cricket World Cup, helping India reach the final. While Australia won, Tendulkar was given the Man of the Tournament award