DataHammer/scimrc huggingface dataset:
Question: Where is the Kilwa Tanga
Evidence: Kilwa is an administrative ward in Kilindi District of Tanga Region in Tanzania. The ward covers an area of 153 km2 (59 sq mi), and has an average elevation of 858 m (2,815 ft). According to the 2012 census, the ward has a total population of 6,835.
Answer: Kilwa is an administrative ward in Kilindi District of Tanga Region in Tanzania. The ward covers an area of 153 km2 (59 sq mi), and has an average elevation of 858 m (2,815 ft).

According to the 2012 census, the ward has a total population of 6,835.
Question: Tell me about the botanical garden?
Evidence: A botanical garden or botanic garden[nb 1] is a garden with a documented collection of living plants for the purpose of scientific research, conservation, display, and education. Typically plants are labelled with their botanical names. It may contain specialist plant collections such as cacti and other succulent plants, herb gardens, plants from particular parts of the world, and so on; there may be greenhouses, shadehouses, again with special collections such as tropical plants, alpine plants, or other exotic plants. Most are at least partly open to the public, and may offer guided tours, educational displays, art exhibitions, book rooms, open-air theatrical and musical performances, and other entertainment.
Answer: A botanical garden have a collection of living plants for the purpose of scientific research, conservation, display, and education. Plants are labelled with their botanical names. It may contain specialist plant collections such as cacti and other succulent plants, herb gardens, p tropical plants, alpine plants, or other exotic plants.
The origin of modern botanical gardens is generally traced to the appointment of professors of botany to the medical faculties of universities in 16th century Renaissance Italy, which also entailed the curation of a medicinal garden.
Botanical gardens are often run by universities or other scientific research organizations. The staff will normally include botanists as well as gardeners. 
Worldwide, there are now about 1800 botanical gardens and arboreta in about 150 countries (mostly in temperate regions) of which about 550 are in Europe (150 of which are in Russia), 200 in North America, and an increasing number in East Asia. These gardens attract about 300 million visitors a year.
Question: How do you know if a chicken breast is fully cooked?
Answer: When the internal temperature reaches a minimum of 150 F
Question: When was Lure of the Swamp released?
Evidence: Lure of the Swamp is a 1957 American drama film directed by Hubert Cornfield and written by William George, based on the 1953 novel of the same name by Gil Brewer. The film stars Marshall Thompson, Willard Parker, Joan Vohs, Jack Elam, Leo Gordon and Joan Lora. The film was released in May 1957 by 20th Century-Fox.
Answer: Lure of the Swamp was released by 20th Century-Fox in May 1957 and is an American drama film directed by Hubert Cornfield and written by William George. Lure of the Swamp is based on the 1953 novel of the same name by Gil Brewer.
Question: Tell me whether these are books by black authors: I Know Why the Caged Bird Sings, Homegoing, Between the World and Me, Becoming, Beloved, The Color Purple.
Answer: The books: I Know Why the Caged Bird Sings, Homegoing, Between the World and Me, Becoming, Beloved, and The Color Purple are all written by black authors.
Question: Identify which animal species is alive or extinct: Neanderthal, Bigeye Tuna
Answer: Bigeye Tune is alive, Neanderthal is extinct.
Question: Provide me with popular girl names.
Answer: Popular girl names include Olivia, Emma, Charlotte, Amelia, Ava, and Sophia.
Question: Apply the traditional western culture label (domesticated pet, farm animal, wild animal) to each of the following animals: dog, sheep, horse, wolf, cat, zebra, cow
Answer: dog: Domesticated pet

sheep: Farm animal

horse: Farm animal

wolf: Wild animal

cat: Domesticated pet

zebra: Wild animal

cow: Farm animal
Question: What is the difference between love and affection?
Answer: Friendship and love are feelings close to each other, but there is a substantial difference. Friendship is a feeling that, if genuine, can last a lifetime. Love, on the other hand, is a more complex feeling that can change with the passage of time
Question: Who won the masters in golf in 2019?
Answer: Tiger Woods won his fifth Green Jacket, and fifteenth major, by one stroke ahead of three runners-up. It left him one shy of Jack Nicklaus's record six Masters wins, and three short of his record eighteen major wins. At age 43, he became the eleventh oldest player to win a major, and the second oldest Masters winner, again only bettered by Nicklaus who won at age 46. It was 11 years after his last major win, the 2008 U.S. Open, and 14 years since his last Masters win beating the previous record of 13 years held by Gary Player. Due to the high profile of Woods, and his storied fall from the top of the game due to personal issues and injuries, the victory generated a large amount of publicity around the world, and is regarded as one of the great sporting comebacks.
Question: What are snowshoes?
Answer: Snowshoes provide a way for people to walk on top of snow without sinking in by spreading their weight over a wider surface than typical shoes. The typical snowshoe is made of metal or wood, has a strap for attaching regular shoes or boots, and often also has some sharp grip at the bottom to help prevent slipping on ice.
Question: How can I become a better runner?
Answer: There are a few things you can do to become a better runner:

1. Train consistently - Endurance running creates physiological adaptations which take a long time for you to notice. Try to run at least 3 or 4 times a week for at least 30 minutes to begin building those adaptations. 
2. Get enough sleep - studies show that muscles recover better if you get at least 8 hours of sleep each night.
3. Fuel your body - you can't gain muscle if you don't provide your body with enough calories to keep yourself fueled. Ensure that you are eating a good mix of protein, carbohydrates, and vegetables to set yourself up for success.
4. Don't overtrain - One common mistake new runners make is to run more than they are trained to manage and end up injuring yourself. You can't build fitness if you are off of training due to injury!
Question: Where did Anne Frank live after her family fled Germany?
Answer: Anne Frank and her family moved to Amsterdam, Netherlands, where she went to school and later on, they went into hiding for more than two years before they were discovered and brought to Germany.
Question: Identify which instrument is string or percussion: Chikara, Bamboula
Answer: Bamboula is percussion, Chikara is string.
Question: Given this reference on Yorkshire Terriers, tell me where they originate from, and what are their typical size and color.
Evidence: The Yorkshire Terrier is a British breed of toy dog of terrier type. It is among the smallest of the terriers and indeed of all dog breeds, with a weight of no more than 3.2 kg. It originated in the nineteenth century in the English county of Yorkshire, for which it is named. Their coats are typically tan on the head with a dark steel-grey body, but they can come in a variety of colors.

It is a playful and energetic dog, usually kept as a companion dog. It has contributed to the development of other breeds including the Silky Terrier, and also to cross-breeds such as the Yorkipoo.
Answer: Yorkshire Terrier originated from English county of Yorkshire, it has a small size with weight of no more than 3.2 kg. They have a variety of colors but typically their coats are tan on the head and dark steel-grey on the body.
Question: Who formed the rock group One Day as a Lion?
Evidence: One Day as a Lion was an alternative rock supergroup that was started in 2008 by Zack de la Rocha, the vocalist of Rage Against the Machine, and Jon Theodore, former drummer of The Mars Volta and current drummer of Queens of the Stone Age. The duo blended elements of rock and hip hop. One Day as a Lion released their eponymous debut EP in July 2008 on the Anti- label. The band's name comes from a quote by Benito Mussolini
Answer: Zack de la Rocha and Jon Theodore
Question: What OpenIE method was used to generate the extractions?
Evidence: We use the text corpora (S) from BIBREF6 aristo2016:combining to build our tuple KB. For each test set, we use the corresponding training questions $Q_\mathit {tr}$ to retrieve domain-relevant sentences from S. Specifically, for each multiple-choice question $(q,A) \in Q_\mathit {tr}$ and each choice $a \in A$ , we use all non-stopword tokens in $q$ and $a$ as an ElasticSearch query against S. We take the top 200 hits, run Open IE v4, and aggregate the resulting tuples over all $a \in A$ and over all questions in $Q_\mathit {tr}$ to create the tuple KB (T).
Specifically, for each multiple-choice question $(q,A) \in Q_\mathit {tr}$ and each choice $a \in A$ , we use all non-stopword tokens in $q$ and $a$ as an ElasticSearch query against S. We take the top 200 hits, run Open IE v4, and aggregate the resulting tuples over all $a \in A$ and over all questions in $Q_\mathit {tr}$ to create the tuple KB (T).
Answer: The answers are shown as follows:
* for each multiple-choice question $(q,A) \in Q_\mathit {tr}$ and each choice $a \in A$ , we use all non-stopword tokens in $q$ and $a$ as an ElasticSearch query against S
* take the top 200 hits, run Open IE v4, and aggregate the resulting tuples over all $a \in A$ and over all questions in $Q_\mathit {tr}$
Question: Why is the Pacific ocean typically cold off of the West Coast of the United States?
Answer: The primary ocean current along the West Coast of the United States is often referred to as the "California Current" and follows a clockwise pattern, bringing cold water from the Gulf of Alaska southeasterly, where it eventually meets the beaches of Washington, Oregon and California.
The further south you go typically the warmer it gets so while surfers may be out in a thick wetsuit in June in San Francisco you may well see surfers and swimmers from Santa Barbara southward in shorts or a spring suit.
Question: What is the aim of their Answer Collection System?
Evidence: Suppose we have a budget INLINEFORM0 which we can allocate to collect extra answers for a subset of visual questions. Our system automatically decides to which visual questions to allocate the “extra" answers in order to maximize captured answer diversity for all visual questions.
The aim of our system is to accrue additional costs and delays from collecting extra answers only when extra responses will provide more information. Towards this aim, our system involves three steps to collect answers for all INLINEFORM0 visual questions (Figure FIGREF11 a). First, the system applies our top-performing random forest classifier to every visual question in the batch. Then, the system ranks the INLINEFORM1 visual questions based on predicted scores from the classifier, from visual questions most confidently predicted to lead to answer “agreement" from a crowd to those most confidently predicted to lead to answer “disagreement" from a crowd. Finally, the system solicits more ( INLINEFORM2 ) human answers for the INLINEFORM3 visual questions predicted to reflect the greatest likelihood for crowd disagreement and fewer ( INLINEFORM4 ) human answers for the remaining visual questions. More details below.
The aim of our system is to accrue additional costs and delays from collecting extra answers only when extra responses will provide more information.
Answer: To accrue additional costs and delays from collecting extra answers only when extra responses will provide more information.
Question: Which episode of "The X-Files" was broadcast in black-and-white?
Answer: The Post-Modern Prometheus
Question: How long has Dataminr been operating and who are their customers?
Evidence: Dataminr was founded in 2009 by Yale University graduates Ted Bailey, Sam Hendel and Jeff Kinsey. Dataminr came to wider notice when it issued an alert that Osama bin Laden had been killed 23 minutes faster than major news organizations.

In 2014, Datamnr entered into a partnership with CNN and Twitter, resulting in Dataminr for News, a tool to "alert journalists to information that’s emerging on Twitter in real time."

On December 30, 2019, Dataminr claimed to have detected the first signals of the COVID-19 outbreak within public social media posts.[citation needed] The company went on to detect clusters indicating future spikes in 14 different US states. Seven days later, all 14 states were hit hard by the coronavirus. Dataminr partnered with the UN in May 2019 to equip thousands of UN personnel with Dataminr’s First Alert product for the public sector.

Dataminr's social media intelligence contract for the FBI was taken over by Zerofox at the end of 2020.

On the morning of January 5, 2021, Dataminr warned Capitol security officials of troubling online public chatter that would soon become the January 6 riot.

In July 2021, Dataminr conducted its first M&A transaction when it acquired WatchKeeper, a UK-based geovisualization platform. In the acquisition, Dataminr combined WatchKeeper’s geovisualized data layers with its Pulse platform to provide context around events. A few months later, in October 2021, Dataminr acquired Krizo, a real-time crisis response platform based in Copenhagen, Denmark.

The company ranked #5 on the Forbes AI 50 List in 2019 and was the winner of an 2019 AI Breakthrough Award for Best Overall AI Solution. In 2020, Dataminr was named to Forbes Cloud 100, and Deloitte Technology Fast 500, ‘Most Innovative Use of AI’ at the 2020 AI & Machine Learning Awards.

In 2020, Dataminr’s AI team had published several papers including, “Unsupervised Detection of Sub-Events in Large Scale Disasters,” for the Association for the Advancement of Artificial Intelligence quarterly journal; “Multimodal Categorization of Crisis Events in Social Media,” for Computer Vision and Pattern Recognition 2020; “Clustering of Social Media Messages for Humanitarian Aid Response during Crisis,” for AI for Social Good, and “The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation,” for COLING 2020.

In late 2021, the company announced the appointment of Cristina Bita to its board of directors and as chairwoman of the audit committee.
Answer: Dataminr was founded in 2009 so it has been operating for 14 years. Dataminr sells to variety of organisations in the public and private sector such as the UN and journalists from new media organisations.
Question: What problems are found with the evaluation scheme?
Evidence: From Figure FIGREF6 , we can see that it is quite different between the open domain chit-chat system and the task-oriented dialogue system. For the open domain chit-chat system, as it has no exact goal in a conversation, given an input message, the responses can be various. For example, for the input message “How is it going today?”, the responses can be “I'm fine!”, “Not bad.”, “I feel so depressed!”, “What a bad day!”, etc. There may be infinite number of responses for an open domain messages. Hence, it is difficult to construct a gold standard (usually a reference set) to evaluate a response which is generated by an open domain chit-chat system. For the task-oriented system, although there are some objective evaluation metrics, such as the number of turns in a dialogue, the ratio of task completion, etc., there is no gold standard for automatically evaluating two (or more) dialogue systems when considering the satisfaction of the human and the fluency of the generated dialogue.
For the task-oriented system, although there are some objective evaluation metrics, such as the number of turns in a dialogue, the ratio of task completion, etc., there is no gold standard for automatically evaluating two (or more) dialogue systems when considering the satisfaction of the human and the fluency of the generated dialogue.
Answer: The answers are shown as follows:
* no gold standard for automatically evaluating two (or more) dialogue systems when considering the satisfaction of the human and the fluency of the generated dialogue
Question: What is the length of an Olympic size swimming pool?
Answer: Olympic size swimming pool is 50 meters in length
Question: How accurate is the proposed method in terms of estimating the TRUE epistemic uncertainty? In cases where the generative distribution is known, this should be easy to compute.
Evidence: Figure 6: Left: Mixture of one dimensional Gaussians we took samples from. Color denotes class label. Middle: Epistemic uncertainty our model assigns to data points. Note that the uncertainty is quite high in the region of 3-5. For the sake of visualization, we clipped the maximum value to be 1. Right: Our approximation of aleatoric uncertainty is built along with the true conditional probability.
Answer: The proposed approach is suspicious on theoretical grounds, in that it relies essentially on the ratio of some estimation of training uncertainty and density in representation-space in order to estimate epistemic uncertainty.
Question: What makes for a great pizza?
Answer: There are many different variations of pizza. Many would say that the crust and sauce are more important than the toppings when considering what makes a pizza great. Toppings (pepperoni, mushroom, sausage, pineapple, etc.) are generally pretty standard, with little variation by source or region, though premium ingredients may be had my many pizza chefs, these are not considered here because premium toppings may not be available to every pizza chef.

The crust and sauce, however, are nearly limitless in variation.  From thin crust to thick crusts, to bright or spicy sauce; a pizza chef may make their mark with excellent pizza on the foundation of a well made crust with a well flavored sauce.
Question: Write a paragraph about the word "woman".
Answer: The word "woman" is a gender construct to be contrasted with the word "man". This word has come under recent scrutiny due to the increasing significance of the LGBTQIA+ community and their aims to be seen, expressed, or acknowledged within their communities. Traditionally, the word referred to an "adult human female". This definition has come under scrutiny for being unreasonably restrictive. Another common definition is "a woman is a person who feels like a woman". This definition has come under scrutiny for being circular.
Question: In what measure that the accuracy of their model is comparable with the state-of-the-art WSD algorithms'?
Evidence: Word Sense Disambiguation (WSD) is an important problem in Natural Language Processing (NLP), both in its own right and as a stepping stone to other advanced tasks in the NLP pipeline, applications such as machine translation BIBREF0 and question answering BIBREF1 . WSD specifically deals with identifying the correct sense of a word, among a set of given candidate senses for that word, when it is presented in a brief narrative (surrounding text) which is generally referred to as context. Consider the ambiguous word `cold'. In the sentence “He started to give me a cold shoulder after that experiment”, the possible senses for cold can be cold temperature (S1), a cold sensation (S2), common cold (S3), or a negative emotional reaction (S4). Therefore, the ambiguous word cold is specified along with the sense set {S1, S2, S3, S4} and our goal is to identify the correct sense S4 (as the closest meaning) for this specific occurrence of cold after considering - the semantic and the syntactic information of - its context.
In this effort, we develop our supervised WSD model that leverages a Bidirectional Long Short-Term Memory (BLSTM) network. This network works with neural sense vectors (i.e. sense embeddings), which are learned during model training, and employs neural word vectors (i.e. word embeddings), which are learned through an unsupervised deep learning approach called GloVe (Global Vectors for word representation) BIBREF2 for the context words. By evaluating our one-model-fits-all WSD network over the public gold standard dataset of SensEval-3 BIBREF3 , we demonstrate that the accuracy of our model in terms of F-measure is comparable with the state-of-the-art WSD algorithms'.
We outline the organization of the rest of the paper as follows. In Section 2, we briefly explore earlier efforts in WSD and discuss recent approaches that incorporate deep neural networks and word embeddings. Our main model that employs BLSTM with the sense and word embeddings is detailed in Section 3. We then present our experiments and results in Section 4 supported by a discussion on how to avoid some drawbacks of the current model in order to achieve higher accuracies and demand less number of training data which is desirable. Finally, in Section 5, we conclude with some future research directions for the construction of sense embeddings as well as applications of such model in other domains such as biomedicine.
By evaluating our one-model-fits-all WSD network over the public gold standard dataset of SensEval-3 , we demonstrate that the accuracy of our model in terms of F-measure is comparable with the state-of-the-art WSD algorithms'.
Answer: F-measure.
Question: Find an item from each category bellow that somehow relates to a banana.

place
animal
vehicle
feeling
food
tech
song
movie
Answer: place: Bahamas
animal: monkey
vehicle: banana boat
feeling: warm
food: banana pudding
tech: mailchimp
song: copacabana
movie: beverly hills cop
Question: The only known monotremes in the animal kingdom are the echidna and which other creature?
Answer: The platypus.
Question: Identify which teams in the following list are hockey teams: Buffalo Sabres, Detroit Red Wings, Florida Panthers, Montreal Canadiens, New England Patriots, Pittsburgh Pirates, new York Yankees, Texas Rangers, Manchester United, Ottawa Senators, Tampa Bay Lightning, Toronto Maple Leafs, Chelsea, Liverpool FC, Los Angeles Lakers, Toronto Raptors, Arizona Coyotes, Chicago Blackhawks, Colorado Avalanche, Dallas Stars, Minnesota Wild, Pittsburgh Steelers
Answer: The NHL teams in this list are as follows: Buffalo Sabres, Detroit Red Wings, Florida Panthers, Montreal Canadiens, Ottawa Senators, Tampa Bay Lightning, Toronto Maple Leafs, Arizona Coyotes, Chicago Blackhawks, Colorado Avalanche, Dallas Stars, and the Minnesota Wild.
Question: Is there any improvement that can be done to optimize phoneme embedding results？
Evidence: In contrast to the language embeddings, the phoneme embeddings appear to show many regularities (see Table TABREF33 ). This is a sign that our multilingual model learns similar embeddings for phonemes that are written with the same grapheme in different languages. These phonemes tend to be phonetically similar to each other.
Perhaps the structure of the phoneme embedding space is what leads to our models' very good performance on WER 100. Even when the model's first predicted pronunciation is not correct, it tends to assign more probability mass to guesses that are more similar to the correct one. Applying some sort of filtering or reranking of the system output might therefore lead to better performance.
Perhaps the structure of the phoneme embedding space is what leads to our models' very good performance on WER 100. Even when the model's first predicted pronunciation is not correct, it tends to assign more probability mass to guesses that are more similar to the correct one. Applying some sort of filtering or reranking of the system output might therefore lead to better performance.
Answer: Applying some sort of filtering or reranking of the system output might therefore lead to better performance.
Question: What was Seward's Folly?
Answer: Seward's Folly was the name given by opponents to the 1867 purchase of Alaska from Russia by the United States. Secretary of State William Seward negotiated the treaty in secrecy, and critics mocked both him and President Andrew Johnson for the purchase of a "polar bear garden." However, it turned out to be a profitable investment when gold was discovered in Alaska in 1896.