DataHammer/scimrc huggingface dataset:
Question: Give me a bulleted list of the seven most recent Heisman Trophy Winners
Answer: Caleb Williams, Bryce Young, DeVonta Smith, Joe Burrow, Kyler Murray, Baker Mayfield, and Lamar Jackson
Question: Who is considered the greatest rock drummer?
Evidence: John Bonham is considered the most influential drummers in rock. Bonham was ranked no. 1 on Classic Rock's 2005 list of 50 Greatest Drummers in Rock
Answer: John Henry Bonham (31 May 1948 – 25 September 1980) was an English musician, best known as the drummer for the rock band Led Zeppelin. Esteemed for his speed, power, fast single-footed kick drumming, distinctive sound, and feel for groove, he is regarded as one of the greatest and most influential drummers in music history.
Question: What is VTEC?
Answer: VTEC stands for "Variable Valve Timing & Lift Electronic Control." It is a technology used by some Honda cars for changing the way an engine runs based on the engine speeds. It works   by using oil pressure to activate a different camshaft profile at higher engine speeds. The camshaft profile allows more air to enter the engine cylinders, and thus causes more effective combustion and more power. At lower engine speeds, VTEC disengages and uses a default camshaft profile, which is optimized for fuel efficiency.
Question: What are the Normalize Morphosyntactic Variants?
Evidence: Figure FIGREF4 specifies the meta elements of the nlpFSpL which are used by the FExSys while interpreting other features.
Analysis Unit (AU) specifies level at which features have to be extracted. At Corpus level, features are extracted for all the text documents together. At Document level, features are extracted for each document in corpus separately. At Para (paragraph) level Features are extracted for multiple sentences constituting paragraphs together. At Sentence level features to be extracted for each sentence. Figure FIGREF6 depicts classes of features considered in nlpFSpL and their association with different AUs.
Syntactic Unit (SU) specifies unit of linguistic features. It could be a `Word' or a `Phrase', or a `N-gram' or a sequence of words matching specific lexico-syntactic pattern captured as `POS tag pattern' (e.g., Hearst pattern BIBREF15) or a sequence of words matching specific regular expression `Regex' or a combination of these. Option Regex is used for special types of terms, e.g., Dates, Numbers, etc. LOGICAL is a Boolean logical operator including AND, OR and NOT (in conjunction with other operator). For example, Phrase AND POS Regex would specify inclusion of a `Phrase' as SU when its constituents also satisfy 'regex' of `POS tags'. Similarly, POS Regex OR NOT(Regex) specifies inclusion of sequence of words as SU if it satisfies `POS tag Pattern' but does not match pattern specified by character `Regex'. Note that SU can be a feature in itself for document and corpus level analysis.
Normalize Morphosyntactic Variants: If YES, variants of words including stems, lemmas, and fuzzy matches will be identified before analyzing input text for feature exaction and would be treated equivalent.
Normalize Morphosyntactic Variants: If YES, variants of words including stems, lemmas, and fuzzy matches will be identified before analyzing input text for feature exaction and would be treated equivalent.
Answer: Normalize Morphosyntactic Variants: If YES, variants of words including stems, lemmas, and fuzzy matches will be identified before analyzing input text for feature exaction and would be treated equivalent.
Question: Where is the town of Guasipati
Answer: Guasipati is a town that serves as the administrative seat of Roscio Municipality in the state of Bolívar, Venezuela. It was founded on 27 September 1757. Its economy depends highly on the gold of its land and that of El Callao.The city is located in the vicinity of the Denguesito ríachuelos to the northwest and the Cunurí to the west, both tributaries of the Miamo river. According to data from the National Institute of Statistics (census 2011) the population of Guasipati is 21,165 inhabitants.
Question: Given this text give me short summary about Beavers
Evidence: Beavers (genus Castor) are large, semiaquatic rodents of the Northern Hemisphere. There are two existing species: the North American beaver (Castor canadensis) and the Eurasian beaver (C. fiber). Beavers are the second-largest living rodents, after capybaras, weighing up to 30 kilograms (66 lb). Beavers have stout bodies with large heads, long chisel-like incisors, brown or gray fur, hand-like front feet, webbed back feet, and tails that are flat and scaly. The two species differ in skull and tail shape and fur color. Beavers can be found in a number of freshwater habitats, such as rivers, streams, lakes and ponds. They are herbivorous, consuming tree bark, aquatic plants, grasses and sedges.
Answer: Here is a short summary about Beavers:
There are two existing species - North American and Eurasian.
They are the second-largest living rodents. 
Physically species of Beaver can vary in terms of fur colour but they all have webbed back feet, hand-like front feet and flat scaly tails. Long chisel-like incisors are a key feature. 
Beavers can be found in freshwater habits. 
They are herbivores.
Question: How does meditation help?
Answer: Meditation helps relax the mind by helping it focus on a specific object (such as breathing). This brings the mind to that object by cutting down the noise of multitude of thoughts that keep swarming in our minds. Meditation also helps train the mind to focus on a topic and be more present in conversations, with people or at work. Finally, it's helps reduce stress too as the mind does not spend too much time circling on negative thoughts.
Question: when was the 2nd world war?
Answer: It started in 1939 and ended in 1945
Question: Surely, the glass ceiling only applies to politics. Corporate organizations are fine. Is that true?
Evidence: A glass ceiling is a metaphor usually applied to women, used to represent an invisible barrier that prevents a given demographic from rising beyond a certain level in a hierarchy. No matter how invisible the glass ceiling is expressed, it is actually a difficult obstacle to overcome. The metaphor was first used by feminists in reference to barriers in the careers of high-achieving women. It was coined by Marilyn Loden during a speech in 1978. In the United States, the concept is sometimes extended to refer to racial inequality in the United States. Minority women in white-majority countries often find the most difficulty in "breaking the glass ceiling" because they lie at the intersection of two historically marginalized groups: women and people of color. East Asian and East Asian American news outlets have coined the term "bamboo ceiling" to refer to the obstacles that all East Asian Americans face in advancing their careers. Similarly, a multitude of barriers that refugees and asylum seekers face in their search for meaningful employment is referred to as canvas ceiling.
Answer: No, this is incorrect. The glass ceiling affects all facet of life with hierarchical structure, such as political and career advancements.
Question: Name some of the bravolebrities from The Real Housewives of New Jersey
Answer: Dolores Catania, Jackie Goldschneider, Jennifer Aydin, Margaret Josephs, Melissa Gorga and Teresa Giudice
Question: What data do they train the language models on?
Evidence: In this work, the experiments are conducted using the BABEL speech corpus collected from the IARPA babel program. The corpus is mainly composed of conversational telephone speech (CTS) but some scripted recordings and far field recordings are presented as well. Table TABREF14 presents the details of the languages used in this work for training and evaluation.
In this work, the experiments are conducted using the BABEL speech corpus collected from the IARPA babel program. 
Answer: The answers are shown as follows:
*  BABEL speech corpus
Question: What is life like living underwater?
Answer: At first, the brilliance of all the colors was my favorite part. The amount of variety under the water is breathtaking. I love that what I see every day changes; it's based upon what is swimming by. However, I long for a hike up into elevation. Hearing the sound of gravel crunch beneath my hiking boots is no longer available. You also lose any semblance of the four seasons. One day blurs with the next and the next. It's always a comfortable temperature, but after some time, that gets old too.
Question: What is SWIFT in banking?
Answer: SWIFT (Society for Worldwide Interbank Financial Telecommunications) is a global member-owned cooperative that functions as a huge messaging system. Members (banks and other financial institutions) use it to quickly, accurately, and securely send and receive information, primarily money transfer instructions.
Question: What is the Kentucky Derby Trophy
Evidence: The Kentucky Derby Trophy is a set of four trophies that are awarded to the winning connections of America's most famous race: the grade one $3,000,000 Kentucky Derby. The owner receives a gold trophy while the trainer, the jockey and the breeder win a silver half size replica of the main gold trophy. The trophy itself has been run for since the 50th running of the Kentucky Derby in 1924. Churchill Downs Race Course of Louisville, Kentucky has annually presented a gold trophy to the winning owner of the famed "Run for the Roses."
Answer: The Kentucky Derby Trophy is a set of four trophies that are awarded to the winning connections of America's most famous race: the grade one $3,000,000 Kentucky Derby. The owner receives a gold trophy while the trainer, the jockey and the breeder win a silver half size replica of the main gold trophy. The trophy itself has been run for since the 50th running of the Kentucky Derby in 1924. Churchill Downs Race Course of Louisville, Kentucky has annually presented a gold trophy to the winning owner of the famed "Run for the Roses."
Question: What are the different kind of hits in baseball?
Answer: The different kind of hits in baseball are a single, double, triple, and home run.
Question: What is Barkers Butts RFC?
Answer: Barkers Butts RFC (Rugby Football Club) is a rugby union club in the north west of Coventry, England. It is over 75 years old and operates four senior teams including a ladies team, a Colts team, a full range of boy and girls teams from Under 6s to Under 16s. The first XV currently play in Midlands 2 West (South), a seventh tier league in the English rugby union system. 

When the league system was established in 1987, Barkers Butts was placed in the fifth tier, playing in Midlands 1 and were runners up in the first season (1987-88). They finished in second place twice more (1990–91 and 1992–93) but were relegated from tier 5, then called Courage League Division 5, after the 1994-95 season. Subsequently, they have alternated between the sixth and seventh levels.

Barkers Butts has produced several notable international players including one World Cup winner in Neil Back. Other recent mens' internationals include Tom Wood and Jim Hamilton. Barkers currently have two players in the England Women U20s squad.
Question: I am going to Stockholm over the weekend, what should I do? I love going to museums and being in nature!
Answer: Stockholm has some amazing spots and museums to visit! Here is a list with some example activities you can pick from:
- Visit the archipelago: There is a vast archipelago close to Stockholm. It is easy to reach by taking a boat from central Stockholm. The nature there is amazing and remember to bring swimming clothes.
- Djurgården island: This is a big Island in the middle of Stockholm located in the middle of Stockholm with big parks and some of the most famous museums.
- Old town: At the heart of Stockholm, you have the old town, which is very popular for tourists all the year. You can visit cozy restaurants and coffee places or take a look at the royal castle.
- The vasa museum: Located on Djurgården island, it has one of the most well preserved 17th century ships in the world.
Question: How many language pairs were used in the experiments?
Evidence: The new generation of Neural Machine Translation (NMT) systems is known to be extremely data hungry BIBREF0 . Yet, most existing NMT training pipelines fail to fully take advantage of the very large volume of monolingual source and/or parallel data that is often available. Making a better use of data is particularly critical in domain adaptation scenarios, where parallel adaptation data is usually assumed to be small in comparison to out-of-domain parallel data, or to in-domain monolingual texts. This situation sharply contrasts with the previous generation of statistical MT engines BIBREF1 , which could seamlessly integrate very large amounts of non-parallel documents, usually with a large positive effect on translation quality.
Such observations have been made repeatedly and have led to many innovative techniques to integrate monolingual data in NMT, that we review shortly. The most successful approach to date is the proposal of BIBREF2 , who use monolingual target texts to generate artificial parallel data via backward translation (BT). This technique has since proven effective in many subsequent studies. It is however very computationally costly, typically requiring to translate large sets of data. Determining the “right” amount (and quality) of BT data is another open issue, but we observe that experiments reported in the literature only use a subset of the available monolingual resources. This suggests that standard recipes for BT might be sub-optimal.
This paper aims to better understand the strengths and weaknesses of BT and to design more principled techniques to improve its effects. More specifically, we seek to answer the following questions: since there are many ways to generate pseudo parallel corpora, how important is the quality of this data for MT performance? Which properties of back-translated sentences actually matter for MT quality? Does BT act as some kind of regularizer BIBREF3 ? Can BT be efficiently simulated? Does BT data play the same role as a target-side language modeling, or are they complementary? BT is often used for domain adaptation: can the effect of having more in-domain data be sorted out from the mere increase of training material BIBREF2 ? For studies related to the impact of varying the size of BT data, we refer the readers to the recent work of BIBREF4 .
To answer these questions, we have reimplemented several strategies to use monolingual data in NMT and have run experiments on two language pairs in a very controlled setting (see § SECREF2 ). Our main results (see § SECREF4 and § SECREF5 ) suggest promising directions for efficient domain adaptation with cheaper techniques than conventional BT.
To answer these questions, we have reimplemented several strategies to use monolingual data in NMT and have run experiments on two language pairs in a very controlled setting (see § SECREF2 ).
Answer: Two.
Question: Why do some babies need to stay in the NICU?
Answer: Babies may need to be admitted to the NICU for a number of reasons after being born.  The primary reason is premature birth, which can cause a number of complications such as respiratory distress syndrome, hypoglycemia, apnea, low birth weight and bradycardia.  A baby will typically stay in the NICU until their complications are resolved and they are healthy enough to be discharged.
Question: Give me a list of actors who won an Oscar in the last 5 years and tell me for which movie they won it.
Answer: 1. Brendan Fraser, 2022, The Whale
2. Will Smith, 2021, King Richard
3. Anthony Hopkins, 2020, The father
4. Joaquin Phoenix, 2019, Joker
5. Rami Malek, 2018, Bohemian Rhapsody
Question: Name some famous Sci-Fi movies
Answer: Some famous Sci-Fi movies are Star Wars, 2001: A Space Odyssey and Blade Runner
Question: How should I prioritize my time?
Answer: There's many ways to do this. A good rule of thumb is - how you spend your time should reflect your priorities. So I'd recommend
- List out your highest priority goals in the part(s) of your life you're looking to optimize your time eg: time for yourself, time with family, time with friends, time at work etc
- Do a sanity check on how you spend your time currently and see if it is out of alignment. You'll then know where to make adjustments
- Periodically (eg: every few months), repeat this exercise to course correct as things change in your life
Question: What famous surfers have died while surfing?
Answer: There are many surfers that have died doing what they love. Some of the most famous are Mark Foo, Dickie Cross, Marcio Freire, Sion Milosky, and Kirk Passmore
Question: What is bubble tea?
Answer: Bubble tea is a tea-based drink that originated in Taiwan in the early 1980s. Taiwanese immigrants brought it to the United States in the 1990s, initially in California through regions like Los Angeles County, but the drink has also spread to other countries where there is a large East Asian diaspora population.
Question: Extract all of the dates mentioned in this paragraph and list them using bullets in the format {Date} - {Description}
Evidence: Daniel Leavitt was born November 16, 1813, at Rye, New Hampshire, the son of Benning Leavitt, influential businessman, state senator, county commissioner and later Chicopee Selectman, and his wife Olive (Jenness) Leavitt. Daniel Leavitt married in 1838 at West Springfield, Massachusetts, Ruth Jeannette Ball. They had three children.
Answer: • November 16, 1813 - This is when Daniel Leavitt was born
• 1838 - This is when Daniel Leavitt married his wife Ruth Jeannette Ball.
Question: Identify which instrument is string or percussion: Dholak, Sitar
Answer: Sitar is string, Dholak is percussion.
Question: What is the formal definition of a large language model?
Evidence: Though the term large language model has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-size, computing power) devoted to them, in a way that is not dependent on additional breakthroughs in design.

Though trained on simple tasks along the lines of predicting the next word in a sentence, neural language models with sufficient training and parameter counts are found to capture much of the syntax and semantics of human language. In addition, large language models demonstrate considerable general knowledge about the world, and are able to "memorize" a great quantity of facts during training.
Answer: The term large language model (LLM) does not have a formal definition. However, it often refers to deep learning models having a parameter count on the order of billions or more.
Question: What is Pura Vida?
Answer: Pura Vida is a phrase used in Costa Rica and exactly translates to Pure Life, however it is a style of living of people from Costa Rica, and it means that "everything is fine" or even "amazing". It is about waking up every day and remembering that just waking up it is a good reason to be happy and satisfied in life, having a chance to enjoy every moment.
Question: What is POP3 protocol?
Answer: Post Office Protocol 3 (POP3) is the most commonly used protocol for receiving email over the internet. This standard protocol, which most email servers and their clients support, is used to receive emails from a remote server and send to a local client.
Question: Why do some people try to limit the amount of dessert they eat?
Answer: Dessert is often high in sugar and fat, which can make the desserts unhealthy in large quantities. Therefore, some people only eat limited amounts of dessert in order to help protect their health
Question: What is the difference between income and property taxes?
Answer: Income taxes are taxes on the money an individual earns from working. Property taxes are taxes on the value of property an individual owns.
Question: What is the meaning of hard-sharing architecture they use?
Evidence: Constituency BIBREF0 and dependency grammars BIBREF1 , BIBREF2 are the two main abstractions for representing the syntactic structure of a given sentence, and each of them has its own particularities BIBREF3 . While in constituency parsing the structure of sentences is abstracted as a phrase-structure tree (see Figure FIGREF6 ), in dependency parsing the tree encodes binary syntactic relations between pairs of words (see Figure FIGREF6 ).
When it comes to developing natural language processing (nlp) parsers, these two tasks are usually considered as disjoint tasks, and their improvements therefore have been obtained separately BIBREF4 , BIBREF5 , BIBREF6 , BIBREF7 , BIBREF8 , BIBREF9 .
Despite the potential benefits of learning across representations, there have been few attempts in the literature to do this. klein2003fast considered a factored model that provides separate methods for phrase-structure and lexical dependency trees and combined them to obtain optimal parses. With a similar aim, ren2013combine first compute the n best constituency trees using a probabilistic context-free grammar, convert those into dependency trees using a dependency model, compute a probability score for each of them, and finally rerank the most plausible trees based on both scores. However, these methods are complex and intended for statistical parsers. Instead, we propose a extremely simple framework to learn across constituency and dependency representations.
In particular, we will use a hard-sharing architecture: the sentence is first processed by stacked bilstms shared across all tasks, with a task-dependent feed-forward network on the top of it, to compute each task's outputs.
Answer: The sentence is first processed by stacked bilstms shared across all tasks, with a task-dependent feed-forward network on the top of it, to compute each task's outputs.
Question: What is the primary cause of rain?
Answer: The primary cause of rain is when water condenses in a cloud and gets heavy enough to fall.
Question: What is the difference between laser cutting and 3D printing?
Answer: 3D printing is an additive technique while laser cutting is subtractive. In a 3D printer, the material gets heated up and extruded through a nozzle, forming three-dimensional objects. In contrast, a laser cutter cuts two-dimensional plates. For this, a laser burns away parts of the material. Thus, laser cutting can only produce two-dimensional shapes. However, it is much faster than 3D printing.
Question: What are some of the famous festivals of India?
Answer: India is the land of diverse cultures and festivities. Therefore, certain festivals are more prominent in specific parts than others. A couple of the festivals that are celebrated on a broader level across the country are

1. Diwali: It is also referred to as the "Festival of Lights". During this festival, people light up their homes in the religious significance of welcoming Goddess Laxmi, also known as Goddess of Wealth. Some people consider this festival as the highest religious significance. 

2. Holi: It is one the most popular festival to the level that has picked up in western world. Being referred as the "Festival of colors", people generally play with colors (in powder form), sing and enjoy with friends, family and neighbours.
Question: Identify which of these animals live in water and which live on land: elephants, wolves, sharks, dolphins, cows, raccoons, pigs.
Answer: From the list provided, only sharks and dolphins live in water. The rest live on land: elephants, wolves, cows, raccoons, pigs.
Question: What are the official languages of Canada?
Answer: The official languages of Canada are English and French.
Question: whats needed to make a biryani?

rice
chicken
honey
sugar
oil
pot
towel
barbeque
onions
oven
Answer: following are needed to make biryani:
rice
chicken
oil
pot
onion