DataHammer/scimrc huggingface dataset:
Question: Write a 3 bullet summary about McDonalds from this passage?
Evidence: McDonald's Corporation is an American multinational fast food chain, founded in 1940 as a restaurant operated by Richard and Maurice McDonald, in San Bernardino, California, United States. They rechristened their business as a hamburger stand, and later turned the company into a franchise, with the Golden Arches logo being introduced in 1953 at a location in Phoenix, Arizona. In 1955, Ray Kroc, a businessman, joined the company as a franchise agent and proceeded to purchase the chain from the McDonald brothers. McDonald's had its previous headquarters in Oak Brook, Illinois, but moved its global headquarters to Chicago in June 2018.

McDonald's is the world's largest fast food restaurant chain, serving over 69 million customers daily in over 100 countries in more than 40,000 outlets as of 2021. McDonald's is best known for its hamburgers, cheeseburgers and french fries, although their menu also includes other items like chicken, fish, fruit, and salads. Their best-selling licensed item are their french fries, followed by the Big Mac. The McDonald's Corporation revenues come from the rent, royalties, and fees paid by the franchisees, as well as sales in company-operated restaurants. McDonald's is the world's second-largest private employer with 1.7 million employees (behind Walmart with 2.3 million employees). As of 2022, McDonald's has the sixth-highest global brand valuation.
Answer: McDonald's is an American multinational fast food chain founded in 1940 in San Bernardino California, United States.
It is currently the largest fast food restaurant chain in the world best known for its hamburgers, cheese burgers and french fries. 
McDonald's is the world's second largest private employer with 1.7 million employees and has the sixth largest global brand valuation.
Question: Who are the top 3 professional basketball players of all time?
Answer: These five basketball players are generally considered the best of all time:
Michael Jordan
Lebron James
Bill Russell
Question: what are the 5 skandhas?
Evidence: Skandhas (Sanskrit) or khandhas (Pāḷi) means "heaps, aggregates, collections, groupings". In Buddhism, it refers to the five aggregates of clinging (Pañcupādānakkhandhā), the five material and mental factors that take part in the rise of craving and clinging. They are also explained as the five factors that constitute and explain a sentient being’s person and personality, but this is a later interpretation in response to sarvastivadin essentialism.

The five aggregates or heaps of clinging are:

1. form (or material image, impression) (rupa)
2. sensations (or feelings, received from form) (vedana)
3. perceptions (samjna)
4. mental activity or formations (sankhara)
5. consciousness (vijnana).
Answer: The five skhandas are form, sensations, perceptions, mental activity and consciousness
Question: What is money
Evidence: Money is any item or verifiable record that is generally accepted as payment for goods and services and repayment of debts, such as taxes, in a particular country or socio-economic context. The primary functions which distinguish money are as a medium of exchange, a unit of account, a store of value and sometimes, a standard of deferred payment.

Money was historically an emergent market phenomenon that possess intrinsic value as a commodity; nearly all contemporary money systems are based on unbacked fiat money without use value. Its value is consequently derived by social convention, having been declared by a government or regulatory entity to be legal tender; that is, it must be accepted as a form of payment within the boundaries of the country, for "all debts, public and private", in the case of the United States dollar.

The money supply of a country comprises all currency in circulation (banknotes and coins currently issued) and, depending on the particular definition used, one or more types of bank money (the balances held in checking accounts, savings accounts, and other types of bank accounts). Bank money, whose value exists on the books of financial institutions and can be converted into physical notes or used for cashless payment, forms by far the largest part of broad money in developed countries.
Answer: Money is a medium of physically or virtually providing a measure of value, store of value and a medium of exchange. Money is a unit of account and a standard of deferred payment.
Question: What is an RFI (request for information)?
Answer: An RFI (request for information) is a structured acquisition process for gathering information from potential suppliers of a good or service. RFIs are written by customers and their contracts organization and sent to potential suppliers. An RFI is typically the first and broadest series of requests intended to narrow down a list of potential vendors.
Question: Is the system competitive with other systems of the BioASQ challenge？
Evidence: Deep learning systems have shown a lot of promise for extractive Question Answering (QA), with performance comparable to humans when large scale data is available. However, practitioners looking to build QA systems for specific applications may not have the resources to collect tens of thousands of questions on corpora of their choice. At the same time, state-of-the-art machine reading systems do not lend well to low-resource QA settings where the number of labeled question-answer pairs are limited (c.f. Table 2 ). Semi-supervised QA methods like BIBREF0 aim to improve this performance by leveraging unlabeled data which is easier to collect.
In this work, we present a semi-supervised QA system which requires the end user to specify a set of base documents and only a small set of question-answer pairs over a subset of these documents. Our proposed system consists of three stages. First, we construct cloze-style questions (predicting missing spans of text) from the unlabeled corpus; next, we use the generated clozes to pre-train a powerful neural network model for extractive QA BIBREF1 , BIBREF2 ; and finally, we fine-tune the model on the small set of provided QA pairs.
Our cloze construction process builds on a typical writing phenomenon and document structure: an introduction precedes and summarizes the main body of the article. Many large corpora follow such a structure, including Wikipedia, academic papers, and news articles. We hypothesize that we can benefit from the un-annotated corpora to better answer various questions – at least ones that are lexically similar to the content in base documents and directly require factual information.
We apply the proposed system on three datasets from different domains – SQuAD BIBREF3 , TriviaQA-Web BIBREF4 and the BioASQ challenge BIBREF5 . We observe significant improvements in a low-resource setting across all three datasets. For SQuAD and TriviaQA, we attain an F1 score of more than 50% by merely using 1% of the training data. Our system outperforms the approaches for semi-supervised QA presented in BIBREF0 , and a baseline which uses the same unlabeled data but with a language modeling objective for pretraining. In the BioASQ challenge, we outperform the best performing system from previous year's challenge, improving over a baseline which does transfer learning from the SQuAD dataset. Our analysis reveals that questions which ask for factual information and match to specific parts of the context documents benefit the most from pretraining on automatically constructed clozes.
In the BioASQ challenge, we outperform the best performing system from previous year's challenge, improving over a baseline which does transfer learning from the SQuAD dataset.
Answer: Yes. They outperform the best performing system from the previous year's challenge, improving over a baseline that does transfer learning from the SQuAD dataset.
Question: Why do humans like dogs?
Answer: Dogs are very popular pets. People like dogs for different reasons, but dogs are known to be very loyal. They also can help provide protection to the owner. There are also dogs with special skills, such as helper dogs that can help guide a person with an eye impairment. Despite their popularity, not everyone enjoys the company of dogs. Some people are allergic to most dogs.
Question: Classify each of these as a cereal grain or legume: wheat, lentils, chickpeas, rye, corn, soybeans, peas, millet
Answer: Cereal grains:  Wheat, rye, corn, millet
Legumes: Lentils, chickpeas, soybeans, peas
Question: Depict the valuation of Adani group as mentioned in the passage. For representation, use the format ‘Month Year, Valuation in US$’.
Evidence: Adani Group is an Indian multinational conglomerate, headquartered in Ahmedabad. It was founded by Gautam Adani in 1988 as a commodity trading business, with the flagship company Adani Enterprises. The Group's diverse businesses include port management, electric power generation and transmission, renewable energy, mining, airport operations, natural gas, food processing and infrastructure.

In April 2021, Adani Group crossed US$100 billion in market capitalization, and in April 2022 it crossed the $200 billion mark, in both cases becoming the third Indian conglomerate to do so, after Tata Group and Reliance Industries. In November 2022, it reached $280 billion (INR 24 trillion) surpassing Tata Group. Adani subsequently lost more than $104 billion of market capitalization after fraud and market manipulation allegations by short-seller firm Hindenburg Research. The Adani Group has also attracted other controversies due to various reports of irregular practices. More than 60 percent of the Adani Group's revenue is derived from coal-related businesses. The company's corporate debt totaled $30 billion in 2022.
Answer: April 2021, US$100 billion
April 2022, US$200 billion
November 2022, $280 billion
Question: Based on the following passage which dried fruit is sold the most?
Evidence: Dried fruit is fruit from which the majority of the original water content has been removed either naturally, through sun drying, or through the use of specialized dryers or dehydrators. Dried fruit has a long tradition of use dating back to the fourth millennium BC in Mesopotamia, and is prized because of its sweet taste, nutritive value and long shelf life.
Today, dried fruit consumption is widespread. Nearly half of the dried fruits sold are raisins, followed by dates, prunes, figs, apricots, peaches, apples, and pears. These are referred to as "conventional" or "traditional" dried fruits: fruits that have been dried in the sun or in heated wind tunnel dryers. Many fruits such as cranberries, blueberries, cherries, strawberries, and mango are infused with a sweetener (e.g. sucrose syrup) prior to drying. Some products sold as dried fruit, like papaya, kiwifruit and pineapple, are most often candied fruit.
Dried fruits retain most of the nutritional value of fresh fruits. The specific nutrient content of the different dried fruits reflects their fresh counterpart and the processing method.
Answer: Today, dried fruit consumption is widespread and nearly half of the dried fruits sold are raisins.
Question: what approaches are compared?
Evidence: In our experiments, we compared about 60 elementary metrics, which can be organised as follows:
This creates a challenge for the use of reference-based MT metrics for TS evaluation. However, TS has the advantage of being a monolingual translation-like task, the source being in the same language as the output. This allows for new, non-conventional ways to use MT evaluation metrics, namely by using them to compare the output of a TS system with the source sentence, thus avoiding the need for reference data. However, such an evaluation method can only capture at most two of the three above-mentioned dimensions, namely meaning preservation and, to a lesser extent, grammaticality.
BLEU, ROUGE, METEOR, TERp
Variants of BLEU: BLEU_1gram, BLEU_2gram, BLEU_3gram, BLEU_4gram and seven smoothing methods from NLTK BIBREF32 .
Intermediate components of TERp inspired by BIBREF18 : e.g. number of insertions, deletions, shifts...
Readability metrics and other sentence-level features: FKGL and FRE, numbers of words, characters, syllables...
Metrics based on the baseline QuEst features (17 features) BIBREF28 , such as statistics on the number of words, word lengths, language model probability and INLINEFORM0 -gram frequency.
Metrics based on other features: frequency table position, concreteness as extracted from BIBREF33 's BIBREF33 list, language model probability of words using a convolutional sequence to sequence model from BIBREF34 , comparison methods using pre-trained fastText word embeddings BIBREF35 or Skip-thought sentence embeddings BIBREF36 .
In our experiments, we compared about 60 elementary metrics, which can be organised as follows:

MT metrics

BLEU, ROUGE, METEOR, TERp

Variants of BLEU: BLEU_1gram, BLEU_2gram, BLEU_3gram, BLEU_4gram and seven smoothing methods from NLTK BIBREF32 .

Intermediate components of TERp inspired by BIBREF18 : e.g. number of insertions, deletions, shifts...

Readability metrics and other sentence-level features: FKGL and FRE, numbers of words, characters, syllables...

Metrics based on the baseline QuEst features (17 features) BIBREF28 , such as statistics on the number of words, word lengths, language model probability and INLINEFORM0 -gram frequency.

Metrics based on other features: frequency table position, concreteness as extracted from BIBREF33 's BIBREF33 list, language model probability of words using a convolutional sequence to sequence model from BIBREF34 , comparison methods using pre-trained fastText word embeddings BIBREF35 or Skip-thought sentence embeddings BIBREF36 .
Answer: The answers are shown as follows:
* MT metrics
* Readability metrics and other sentence-level features
* Metrics based on the baseline QuEst features
* Metrics based on other features
Question: Extract the habitants for the Paris Region.
Evidence: The City of Paris is the centre of the Île-de-France region, or Paris Region, with an official estimated population of 12.271.794 habitants on January 1, 2023, or about 19% of the population of France, making the region France's primate city. The Paris Region had a GDP of €739 billion ($743 billion) in 2019, the highest in Europe. According to the Economist Intelligence Unit Worldwide Cost of Living Survey, in 2022, Paris was the city with the ninth-highest cost of living in the world.
Answer: The Paris region has 12,271,794 habitants.
Question: Who is Serhiy Malyi?
Evidence: Serhiy Viktorovych Malyi (Ukrainian: Сергій Вікторович Малий; born 5 June 1990) is a professional footballer who plays as a defender for Tobol. Born in Ukraine, he represents the Kazakhstan national team.
Answer: Serhiy Malyi is a professional footballer who plays defense for Tobol. He also represents the Kazakhstan national team.
Question: What dataset was used in the experiment?
Evidence: Our study uses WikiHop BIBREF0, as it is an entity-based multi-hop QA dataset and has been actively used. We randomly sampled 10,000 instances from 43,738 training instances and 2,000 instances from 5,129 validation instances (i.e. 36,000 annotation tasks were published on AMT). We manually converted structured WikiHop question-answer pairs (e.g. locatedIn(Macchu Picchu, Peru)) into natural language statements (Macchu Picchu is located in Peru) using a simple conversion dictionary.
Our study uses WikiHop BIBREF0, as it is an entity-based multi-hop QA dataset and has been actively used.
Answer: The answers are shown as follows:
* WikiHop
Question: What are the Olympic light weight events.
Evidence: The first lightweight events were added to the World Championships in 1974 for men and 1985 for women. Lightweight rowing was added to the Olympics in 1996 but this came under threat in 2002 when the Programme Commission of the IOC recommended that, outside combat sports and weightlifting, there should not be weight category events. The executive board overturned this recommendation and lightweight rowing continues at the Olympics, though only in the men's and women's double sculls.

There are two Olympic-class lightweight events: men's double sculls and women's double sculls. From 1996 - 2016 the men's Lightweight 4- was included in the Olympics.
Answer: Two Olympic lightweight events are men's double sculls and women's double sculls
Question: What is freedom?
Answer: I want to think of freedom as the ability to be free then I think of "What does it mean to be free? Free of worries, free of responsibilities, free of the pressures of the world. 
Freedom now sounds like a state of mind than an adjective describing an object.
Question: Please explain the collectability impact on revenue recognition under ASC 606 guidance
Answer: We assess the collectability criterion at the beginning of a contract. If it is met, we will take revenue. If it is not met, revenue contract does not exist, so there is no revenue. Over the contract term, there is no need to reassess the collectability for revenue recognition unless a significant change in facts and circumstances results in a significant deterioration in the customer’s creditworthiness. But we will not reverse revenue previously recognized. Accounts Receivable team can book bad debt allowance reserve and write off for non-payment. If the reassessment concludes that collectability criterion is not met, we need to stop future revenue. If the collectability criterion is still met, we will continue to take revenue, and Accounts Receivable can book bad debt allowance. If we conclude that a contract does not exist because the collectability criterion is not met, we don’t record a receivable for consideration that we have not yet received for the services we have already transferred to the customer. For the cash received, we recognize a deposit liability and record no related revenue. If the contract existence criteria is met upon reassessment, we would recognize a cumulative catch-up to revenue for the services already provided.
Question: What are some examples of CPU architectures that do not use a dedicated flag register?
Evidence: Some CPU architectures, such as the MIPS and Alpha, do not use a dedicated flag register. Others do not implicitly set and/or read flags. Such machines either do not pass implicit status information between instructions at all, or they pass it in an explicitly selected general purpose register.
Answer: Some examples of CPU architectures that do not use a dedicated flag register include MIPS and Alpha.
Question: What was the 97th Rifle Division
Evidence: The 97th Rifle Division was thrice formed as an infantry division of the Red Army, first as part of the prewar buildup of forces. The first formation was based on the pre-September 1939 shtat (table of organization and equipment) and the division was initially intended to serve in the fortifications along the border with Poland in western Ukraine. Beginning on September 17, 1939 it took part in the invasion of eastern Poland and then was moved north to join the 7th Army and later the 13th Army on the Karelian Isthmus during the Winter War against Finland where it saw action in the latter part of the struggle. Following this it returned to western Ukraine where it was on the border at the time of the German invasion in June 1941. At considerable cost it was able to retreat back to the Dniepr River south of Kiev during July and was still there as part of 26th Army when the Soviet forces in eastern Ukraine were largely surrounded and wiped out in September. The division was finally disbanded in late December.
Answer: The 97th Rifle Division was thrice formed as an infantry division of the Red Army, first as part of the prewar buildup of forces. The first formation was based on the pre-September 1939 shtat (table of organization and equipment) and the division was initially intended to serve in the fortifications along the border with Poland in western Ukraine. 

Beginning on September 17, 1939 it took part in the invasion of eastern Poland and then was moved north to join the 7th Army and later the 13th Army on the Karelian Isthmus during the Winter War against Finland where it saw action in the latter part of the struggle.
Question: Extract the names of the teams Michael Schumacher was a part of from the text. Separate them with a comma.
Evidence: Michael Schumacher ; born 3 January 1969) is a German former racing driver who competed in Formula One for Jordan, Benetton, Ferrari, and Mercedes. Schumacher has a joint-record seven World Drivers' Championship titles (tied with Lewis Hamilton) and, at the time of his retirement from the sport in 2012, he held the records for the most wins (91), pole positions (68), and podium finishes (155)—which have since been broken by Hamilton—while he maintains the record for the number of total fastest laps (77), among others.
Answer: Jordan, Benetton, Ferrari, Mercedes
Question: Which metrics are they evaluating with?
Evidence: We evaluated baselines and our model using accuracy as the metric on the ROCStories dataset, and summarized these results in Table 2 . The linear classifier with language model, Msap, achieved an accuracy of 75.2%. When adding additional features, such as sentiment trajectories and topic words to traditional machine learning methods, HCM achieved an accuracy of 77.6%. Recently, more neural network-based models are used. DSSM simply used a deep structured semantic model to learn representations for both bodies and endings only achieved an accuracy of 58.5%. Utilizing Cai improved neural model performance to 74.7% by applying attention mechanisms on a BiLSTM RNN structure. SeqMANN further improved the performance to 84.7%, when combining more information from embedding layers, like character features, part-of-speech (POS) tagging features, sentiment polarity, negation information and some external knowledge of semantic sequence. Researchers also improved model performance by pre-training word embeddings on external large corpus. FTLM pre-trained a language model on a large unlabeled corpus and fine-tuned on the ROCStories dataset, and achieved an accuracy of 86.5%.
We evaluated baselines and our model using accuracy as the metric on the ROCStories dataset, and summarized these results in Table 2 .
Answer: The answers are shown as follows:
* accuracy
Question: Give me the top 5 burger places in Chicago
Answer: This is a bit subjective, but the best top 5 burger places in Chicago are, Au Cheval in the West Loop, Little Bad Wolf in Andersonville, The Loyalist in West Loop, Gretel, and Fatso's Last Stand in Ukrainian Village.
Question: What is a hardwired smoke detector?
Answer: A smoke detector is an alarm that is triggered by the presence of smoke. Hardwired smoke detectors are connected into the structures electrical wiring, as opposed to battery-operated smoke detectors.
Question: Give me a list of 5 well known Nordic Gods and Goddesses.
Answer: 1. Odin: This is the supremest and considered greatest deity in Norse mythology. He is often referred as the god of war.
2. Thor: Thor was Odin's son. He was known for his strength, bravery and often referred as the god of thunder.
3. Freya: She was one of the most passionate goddesses. She was mainly associated with fertility and beauty.
4. Loki: Loki was often associated with mischief who can shift his shape to another form of animal. He also tricked some other gods to perform some undesirable acts.
5. Frigg: She was the wife of Odin and queen of Asgard who contained the power of divination.
Question: What is the legal drinking age?
Answer: The legal drinking age in most states is 21 years old.  It is illegal for anyone under the age of 21 to drink alcohol, and you can get in trouble with the law if you do.  There are exceptions to this rule for religious reasons.  If you are going to drink make sure you do it with friends and not alone.  You will also want to have a designated driver in case if too much alcohol is consumed.  You should never drive under any circumstances if you have consumed alcohol.  Driving under the influence is very dangerous, and can take lives if an unplanned car crash happens.