DataHammer/scimrc huggingface dataset:
Question: What are some common descriptive statistics?
Answer: mean, median, range, count, sum, percentage, percentiles, standard deviation, variance
Question: Give me a list of things I can do to sleep better at night
Answer: Here are some things you can do to sleep better at night:
- Don't look at screens within an hour of going to bed
- Keep the room your sleeping in as dark as possible
- Don't drink many fluids within a few hours before bed time
- Don't drink coffee within 8 hours of going to bed
- Take melatonin or other substances to help you sleep
Question: How does the language model built by them enhance the predictions made by existing classifiers?
Evidence: Indicating that a web page is controversial, or disputed - for example, in a search result - facilitates an educated consumption of the information therein, suggesting the content may not represent the “full picture”. Here, we consider the problem of estimating the level of controversiality associated with a given Wikipedia concept (title). We demonstrate that the textual contexts in which the concept is referenced can be leveraged to facilitate this.
The definition of which concepts are controversial is controversial by itself; an accurate definition of this elusive notion attracted the attention of researchers from various fields, see for example some recent attempts in BIBREF0, BIBREF1, BIBREF2.
Most people would agree, for example, that Global warming is a controversial concept, whereas Summer is not. However, the concept Pollution may be seen as neutral by some, yet controversial by others, who associate it with environmental debates. In other words, different people may have different opinions, potentially driven by different contexts salient in their mind. Yet, as reported in the sequel, an appreciable level of agreement can be reached, even without explicit context.
Focusing here on Wikipedia concepts, we adopt as an initial “ground truth” the titles listed on the Wikipedia list of controversial issues, which is curated based on so-called “edit wars”. We then manually annotate a set of Wikipedia titles which are locked for editing, and evaluate our system on this much larger and more challenging dataset.
To estimate the level of controversy associated with a Wikipedia concept, we propose to simply examine the words in the sentences in which the concept is referenced. Because a concept can often be found in multiple contexts, the estimation can be seen as reflecting the “general opinion” about it in the corpus. This contrasts previous works, which consider this a binary problem, and employ a complex combination of features extracted from Wikipedia's article contents and inter-references, and more extensively – from the rich edit history thereof.
. Jang et al. (2016) further build a language model, which enhances predictions made by existing classifiers, by inferring word probabilities from Wikipedia articles prominent in Wikipedia controversy features (mainly signals in edit history as discussed above) and from articles retrieved by manually selected query terms, believed to indicate controversy.
Answer: By inferring word probabilities from Wikipedia articles prominent in controversial issues (mainly signals in edit history as discussed above) and from articles retrieved by manually selected query terms.
Question: What book won the Hugo Award for Best Novel in 1990?
Answer: Hyperion by Dan Simmons
Question: Create a checklist of newborn essentials.
Answer: Crib,  Crib mattress,  Night-light, Pacifiers,  Burp cloths, Bottle warmer,  Bottle brush, Bottle sterilizer,  Diapers, Wipes
Question: What are the five boroughs of New York City?
Evidence: New York City, the most populous city in the United States, is composed of five boroughs: The Bronx, Brooklyn, Manhattan, Queens, and Staten Island. Each borough is coextensive with a respective county of New York State. The boroughs of Queens and the Bronx are also Queens County and Bronx County. The other three counties are named differently from their boroughs: Manhattan is New York County, Brooklyn is Kings County, and Staten Island is Richmond County.
Answer: New York city is composed of five boroughs -- The Bronx, Brooklyn, Manhattan, Queens and Staten Island.  Each borough is also a respective county of the State of New York.  Queens is Queens County, and The Bronx is Bronx County.  The other three counties are named differently from their boroughs. Manhattan is New York County, Brooklyn is Kings County, and Staten Island is Richmond County.
Question: What is SOAP?
Answer: SOAP (formerly a backronym for Simple Object Access Protocol) is a messaging protocol specification for exchanging structured information in the implementation of web services in computer networks. It uses XML Information Set for its message format, and relies on application layer protocols, most often Hypertext Transfer Protocol (HTTP), although some legacy systems communicate over Simple Mail Transfer Protocol (SMTP), for message negotiation and transmission.
Question: What information does the data set used by the author provide?
Evidence: Our dataset provides mappings between location, profile information, and language use, which we can leverage to generate maps that reflect demographic, linguistic, and psycholinguistic properties of the population represented in the dataset.
Our dataset provides mappings between location, profile information, and language use, which we can leverage to generate maps that reflect demographic, linguistic, and psycholinguistic properties of the population represented in the dataset.
Answer: Their dataset provides mappings between location, profile information, and language use, which they can leverage to generate maps that reflect demographic, linguistic, and psycholinguistic properties of the population represented in the dataset.
Question: What are the common shortcomings of the methods of Zhang and Lapata, Yi et al. and Wang et al.?
Evidence: Language models can be optimized to recognize syntax and semantics with great accuracy BIBREF0. However, the output generated can be repetitive and generic leading to monotonous or uninteresting responses (e.g “I don't know”) regardless of the input BIBREF1. While application of attention BIBREF2, BIBREF3 and advanced decoding mechanisms like beam search and variation sampling BIBREF4 have shown improvements, it does not solve the underlying problem. In creative text generation, the objective is not strongly bound to the ground truth—instead the objective is to generate diverse, unique or original samples. We attempt to do this through a discriminator which can give feedback to the generative model through a cost function that encourages sampling of creative tokens. The contributions of this paper are in the usage of a GAN framework to generate creative pieces of writing. Our experiments suggest that generative text models, while very good at encapsulating semantic, syntactic and domain information, perform better with external feedback from a discriminator for fine-tuning objectiveless decoding tasks like that of creative text. We show this by evaluating our model on three very different creative datasets containing poetry, metaphors and lyrics.
Previous work on handling the shortcomings of MLE include length-normalizing sentence probability BIBREF5, future cost estimation BIBREF6, diversity-boosting objective function BIBREF7, BIBREF1 or penalizing repeating tokens BIBREF8. When it comes to poetry generation using generative text models, Zhang and Lapata BIBREF9, Yi et al. BIBREF10 and Wang et al. BIBREF11 use language modeling to generate Chinese poems. However, none of these methods provide feedback on the quality of the generated sample and hence, do not address the qualitative objective required for creative decoding. For the task of text generation, MaskGAN BIBREF12 uses a Reinforcement Learning signal from the discriminator, FMD-GAN BIBREF13 uses an optimal transport mechanism as an objective function. GumbelGAN BIBREF14 uses Gumbel-Softmax distribution that replaces the non-differentiable sample from a categorical distribution with a differentiable sample to propagate stronger gradients. Li et al. BIBREF1 use a discriminator for a diversity promoting objective. Yu et al. BIBREF15 use SeqGAN to generate poetry and comment on the performance of SeqGAN over MLE in human evaluations, encouraging our study of GANs for creative text generation. However, these studies do not focus solely on creative text.
When it comes to poetry generation using generative text models, Zhang and Lapata [10], Yi et al. [11] and Wang et al. [12] use language modeling to generate Chinese poems. However, none of these methods provide feedback on the quality of the generated sample and hence, do not address the qualitative objective required for creative decoding.
Answer: They all don't address the qualitative objective required for creative decoding.
Question: What is Gyebangsan?
Evidence: Gyebangsan is a mountain of Gyeongsangnam-do, located in southeastern South Korea.
Answer: Gyebangsan is a mountain, located in southeastern South Korea.
Question: Identify which instrument is string or percussion: Naqara, Bouzouki
Answer: Bouzouki is string, Naqara is percussion.
Question: What is arithmetic
Answer: Arithmetic is a branch of mathematics, also known as maths in the UK or math in the USA, which covers basic operations with numbers.  These operations are addition, subtraction, multiplication and division.
Question: Tell me whether these sea animals are fish or mammals: blue whale, beluga whale, manatee, dolphin, orca, humpback whale, whale shark, sea lion, walrus, seal, white tip shark, red tail shark, great white shark, guppy, danio, swordtail, tetra, cichlid, tuna, salmon, trout, puffer fish
Answer: The following are all mammals: blue whale, beluga whale, manatee, dolphin, orca, humpback whale, whale shark, sea lion, walrus, seal
The following are all fish: white tip shark, red tail shark, great white shark, guppy, danio, swordtail, tetra, cichlid, tuna, salmon, trout, puffer fish
Question: Does the LRP method work in settings that contextualize the words with respect to one another?
Evidence: Layer-wise relevance propagation (LRP) BIBREF12 , BIBREF32 is a recently introduced technique for estimating which elements of a classifier input are important to achieve a certain classification decision. It can be applied to bag-of-words SVM classifiers as well as to layer-wise structured neural networks. For every input data point and possible target class, LRP delivers one scalar relevance value per input variable, hereby indicating whether the corresponding part of the input is contributing for or against a specific classifier decision, or if this input variable is rather uninvolved and irrelevant to the classification task at all.
For every input data point and possible target class, LRP delivers one scalar relevance value per input variable, hereby indicating whether the corresponding part of the input is contributing for or against a specific classifier decision, or if this input variable is rather uninvolved and irrelevant to the classification task at all.
Answer: Yes.
Question: What are some geographical and topological features of the Bajardo comune described on this text?
Evidence: Bajardo (also Baiardo) (Ligurian: Baiardu) is a comune in the Province of Imperia in the Italian region Liguria. It is about 110 kilometres (68 mi) southwest of Genoa and about 25 kilometres (16 mi) west of Imperia.

Its principal settlement, Bajardo itself, is a medieval village which stands at an elevation of 900 metres (3,000 ft) on a peak at the head of the basin of the Nervia torrent.
Answer: Bajardo is about 110km (68mi) southwest of Genoa and about 25 kilometers (16 mi) west of Imperia. Its principal settlement stands at an elevation of 900 meters (3,000 ft).
Question: Select the odd word from this list and explain why you chose it.
Cow
Horse
Tiger
Chicken
Pig
Answer: Tiger is the odd word out. All words on the list except Tiger are examples of farmyard animals.
Question: Many people are hesitant to invest resources toward slowing down or even reversing the effects of climate change because they think it does not make sense if only a small portion of the population invests resources. They think it is stupid to do so until everyone agreed to do so or is forced by policy. What is the reason that some people still do so?
Answer: Some people do not want to wait until everyone agreed or a policy is in place because they want to start or increase the momentum of slowing down or reversing the effects of climate change. They don't want to wait until it is potentially too late but rather they want to do what they can right now. Some of them might hope that those actions motivate others to follow them which might in turn increase the chance of more and more people doing the same and thus likely starting a bandwagon effect. Some of the activists might also want to prevent living with a bad conscience and thus, they might prefer to spend their resources on climate change related causes instead of other alternatives.
Question: Give me a list of the best bodybuilders of all time.
Answer: There were many great bodybuilders, but most associate the best with those who have won Mr. Olympia, the most prestigious bodybuilding competition in the world. Those who have the most wins in chronological order are:

Arnold Schwarzenegger (7 total wins)
Lee Haney (8 total wins)
Dorian Yates (6 total wins)
Ronnie Coleman (8 total wins)
Jay Cutler (4 total wins)
Phil Health (7 total wins)
Question: What type of bicycle should I buy?
Answer: Buying the right bicycle depends on the experience you are interested in. For example, mountain bikes provide off-road biking experiences in forest trails and rough terrain; gravel bikes include trail and road biking experiences; road bikes provide long-distance rides on paved roads; and commuter bikes are great for casual rides.
Question: Who is the winner of International Booker Prize 2020?
Answer: Mariee Lucas Rijneveld(Dutch)
Question: Tell me about Joseph Anthony
Evidence: Joseph Anthony (born Joseph Deuster; May 24, 1912 – January 20, 1993) was an American playwright, actor, and director. He made his film acting debut in the 1934 film Hat, Coat, and Glove and his theatrical acting debut in a 1935 production of Mary of Scotland. On five occasions he was nominated for a Tony Award for Best Direction.

Biography
Joseph Anthony was born as Joseph Deuster in Milwaukee, Wisconsin on May 24, 1912. His parents were Leonard Deuster and Sophie Deuster (née Hertz). Anthony attended the University of Wisconsin. He married Perry Wilson on August 2, 1942, in New York City. He prepared for the stage at the Pasadena Playhouse from 1931 through 1935 and at the Daykarhanova School from 1935 through 1937. Anthony served in the United States Army in World War II from 1942 through 1946. He trained at Camp Ritchie and it’s Composite School Unit. On January 20, 1993, Joseph Anthony died at the age of 80 in a nursing home in Hyannis, Massachusetts.
Answer: Joseph Anthony (born Joseph Deuster; May 24, 1912 – January 20, 1993) was an American playwright, actor, and director. He made his film acting debut in the 1934 film Hat, Coat, and Glove and his theatrical acting debut in a 1935 production of Mary of Scotland. On five occasions he was nominated for a Tony Award for Best Direction.
Question: Who is the main character of Naruto?
Evidence: Naruto is a Japanese manga series written and illustrated by Masashi Kishimoto. It tells the story of Naruto Uzumaki, a young ninja who seeks recognition from his peers and dreams of becoming the Hokage, the leader of his village. The story is told in two parts—the first set in Naruto's pre-teen years, and the second in his teens. The series is based on two one-shot manga by Kishimoto: Karakuri (1995), which earned Kishimoto an honorable mention in Shueisha's monthly Hop Step Award the following year, and Naruto (1997).
Answer: The main character of Naruto is Naruto Uzumaki, a shinobi of the Hidden Leaf Village. His dream in life is to become the Hokage, the strongest ninja in his village. However, he never achieves this, and dies in his battle again Pain, the leader of the Akatsuki, after attempting to avenge his mentor's death. He is then revived by Obito Uchiha using the rinnegan's powers, which can trade the user's life for another's. Naruto then returns to Pain and uses his infamous talk-no-jutsu to convince Pain to stop being evil, which succeeds.
Question: Given a reference text about Lotus Mark IX, who designed the car?
Evidence: The Lotus Mark IX (1955) was an aluminium-bodied sports racing car manufactured by Lotus Engineering Ltd. About thirty of the Mark IX sports racing cars were made. It was closely related to the Lotus model Mark VIII (1954), of which only about seven cars were made. These cars were largely based on the innovative space frame of the Lotus Mark VI (1952). The highly aerodynamic bodies were designed by Frank Costin and constructed by Williams & Pritchard Limited.

During this early era, of 1954–1955, Lotus Engineering was still a fledgling company, and cars were delivered in different states of completion on special orders. Similar to the Mark VIII, the Mark IX was available in various configurations and different engines, including the 1500 cc MG, 1500 cc Connaught and 2-litre Bristol were fitted. However, the Mark IX designation is most often powered by the 1100 cc Coventry Climax engine. Apparently, two models of Mark IX were offered – the "Club" and the "Le Mans", the latter of which had larger drum brakes fitted.
Answer: The Lotus Mark IX was designed by Frank Costin.
Question: Extract the source of silicone carbide in nature.
Evidence: Silicon carbide (SiC), also known as carborundum (/ˌkɑːrbəˈrʌndəm/), is a hard chemical compound containing silicon and carbon. A semiconductor, it occurs in nature as the extremely rare mineral moissanite, but has been mass-produced as a powder and crystal since 1893 for use as an abrasive. Grains of silicon carbide can be bonded together by sintering to form very hard ceramics that are widely used in applications requiring high endurance, such as car brakes, car clutches and ceramic plates in bulletproof vests. Large single crystals of silicon carbide can be grown by the Lely method and they can be cut into gems known as synthetic moissanite.
Answer: Silicon carbide occurs in nature as the extremely rare mineral moissanite
Question: write a poem about the state of georgia
Answer: Georgia, Georgia You're always on my mind
And one thing that I hear is that your people are so kind
You've got the Blue Ridge Mountains and the Atlantic Coast
You are such a gem to me it seems so about you I will boast
Your capital city is the home of the Braves, the Falcons and the Hawks
With parks like Grant and Piedmont where you can take a peaceful walk
You've produced so many artists the list is hard to write
From Ray and Otis to Outkast and oh yes Gladys Knight
I hope to visit you one day I say it all the time
I'll cheer Go Dawgs and do the Chop because Georgia's on my mind
Question: What is the best bicycle for me?
Answer: The best bicycle depends on your goals, experience, budget, and physical characteristics such as height, weight, etc. You should ensure that the bicycle you select fits into those requirements. Once you have an idea of what those requirements are, take a look at options and you should be able to make an informed decision.
Question: Can we transition from oil and Gas ?
Answer: Can we transition from oil and Gas ? 

The general consensus on the global energy Insights is that the core energy commodities will follow these trends : 

-Hydrocarbons  ( oil and Gas) 
Oil demand could peak in the next two to five years with steady decline after 2030. Gas demand is projected to grow by 10% in the next decade in all scenarios. with divergence after 2030, driven by increasing decarbonization pressure in buildings and industry. 

-Renewables ( Wind, Solar, Hydro) 
These are projected to account for 80—90% of power generation globally by 2050. Share of renewables in the power mix is projected to double in the next 15 years .

-Hydrogen 
Transport and new industrial uses could drive two-thirds of hydrogen demand growth to 2035.  Beyond 2035, hydrogen is projected to scale across all sectors of the energy economy.  

-Bioenergy
Sustainable fuels can provide greenhouse gas emissions reductions and could account for up to 40%f energy demand in transport by 2050
 
Transition from fossil fuels will be a multi-decade plan which will include a mixed energy portfolio.
Question: Imagine a world where life expectancy is fixed and the same for everyone at birth, yet people can engage in life expectancy "donation" – meaning that someone can extend your life three years longer at the expense of theirs. Talk about a likely scenario in this world that involves voluntary donation.
Answer: One voluntary donation involves donors and their loved ones. For example, children who wish to have more time with their parents could extend their parents' life expectancy at the expense of theirs. For loving spouses with different times of birth, the one who was born later could extend their partner's life so that they could pass away at the same time, without having to suffer the pain of losing the love of their life. If pets also have fixed life expectancy that is yet shorter than that of humans, the pet owners could also make such a donation willingly.
Question: What is a Peloton Bike
Answer: A Peloton Bike is an internet enabled spin bike.  The Peloton Bike has a flat screen interface that allows the user to interact with the Peloton app.  On this app, users can select pre-recorded classes, take live classes, see a schedule of upcoming classes, search for classes, as well as see their user information about how many rides they have done, how many miles ridden, etc. over the last 30 days.  The bike has built-in cadence and power sensors to give the rider feedback as to how fast they are pedaling and how much power is being generated.  Peloton also sells an internet enabled treadmill and rower.
Question: Write a review of Roger Zalazny's Lord of Light
Answer: Brilliant. Since I'm not Indian, this doesn't feel like cultural appropriation to me.

I really did enjoy the imaginative scifi here. Advanced enough technology does become magic. Sam and Yama have an awesome bromance and they work together to tear down the unjust hierarchy. Somehow I make the book sound way more lame than what it actually is. I'll stop here.
Question: What meta-information is being transferred?
Evidence: The relation-specific meta information is helpful in the following two perspectives: 1) transferring common relation information from observed triples to incomplete triples, 2) accelerating the learning process within one task by observing only a few instances. Thus we propose two kinds of relation-specific meta information: relation meta and gradient meta corresponding to afore mentioned two perspectives respectively. In our proposed framework MetaR, relation meta is the high-order representation of a relation connecting head and tail entities. Gradient meta is the loss gradient of relation meta which will be used to make a rapid update before transferring relation meta to incomplete triples during prediction.
Thus we propose two kinds of relation-specific meta information: relation meta and gradient meta corresponding to afore mentioned two perspectives respectively. In our proposed framework MetaR, relation meta is the high-order representation of a relation connecting head and tail entities. Gradient meta is the loss gradient of relation meta which will be used to make a rapid update before transferring relation meta to incomplete triples during prediction.
Answer: high-order representation of a relation, loss gradient of relation meta