DataHammer/scimrc huggingface dataset:
Question: What is electrostatics the study of?
Evidence: The concept of the electric field was introduced by Michael Faraday. An electric field is created by a charged body in the space that surrounds it, and results in a force exerted on any other charges placed within the field. The electric field acts between two charges in a similar manner to the way that the gravitational field acts between two masses, and like it, extends towards infinity and shows an inverse square relationship with distance. However, there is an important difference. Gravity always acts in attraction, drawing two masses together, while the electric field can result in either attraction or repulsion. Since large bodies such as planets generally carry no net charge, the electric field at a distance is usually zero. Thus gravity is the dominant force at distance in the universe, despite being much weaker.
An electric field generally varies in space and its strength at any one point is defined as the force (per unit charge) that would be felt by a stationary, negligible charge if placed at that point. The conceptual charge, termed a 'test charge', must be vanishingly small to prevent its own electric field disturbing the main field and must also be stationary to prevent the effect of magnetic fields. As the electric field is defined in terms of force, and force is a vector, having both magnitude and direction, so it follows that an electric field is a vector field.
The study of electric fields created by stationary charges is called electrostatics. The field may be visualised by a set of imaginary lines whose direction at any point is the same as that of the field. This concept was introduced by Faraday, whose term 'lines of force' still sometimes sees use. The field lines are the paths that a point positive charge would seek to make as it was forced to move within the field; they are however an imaginary concept with no physical existence, and the field permeates all the intervening space between the lines. Field lines emanating from stationary charges have several key properties: first, that they originate at positive charges and terminate at negative charges; second, that they must enter any good conductor at right angles, and third, that they may never cross nor close in on themselves.
Answer: The study of electric fields created by stationary charges is called electrostatics.
Question: How accurate is model trained on text exclusively?
Evidence: The main contribution of our paper is to suggest the use of a certain type of textual documents, namely daily weather report, to build forecasters of the daily national electricity load, average temperature and wind speed for both France and the United-Kingdom (UK). Consequently this work represents a significant break with traditional methods, and we do not intend to best state-of-the-art approaches. Textual information is naturally more fuzzy than numerical one, and as such the same accuracy is not expected from the presented approaches. With a single text, we were already able to predict the electricity consumption with a relative error of less than 5% for both data sets. Furthermore, the quality of our predictions of temperature and wind speed is satisfying enough to replace missing or unavailable data in traditional models. Two different approaches are considered to represent the text numerically, as well as multiple forecasting algorithms. Our empirical results are consistent across encoding, methods and language, thus proving the intrinsic value weather reports have for the prediction of the aforementioned time series. Moreover, a major distinction between previous works is our interpretation of the models. We quantify the impact of a word on the forecast and analyze the geometric properties of the word embedding we trained ourselves. Note that although multiple time series are discussed in our paper, the main focus of this paper remains electricity consumption. As such, emphasis is put on the predictive results on the load demand time series.
With a single text, we were already able to predict the electricity consumption with a relative error of less than 5% for both data sets.
Answer: Relative error is less than 5%
Question: Which state in the US has the highest GDP?
Answer: California - The three U.S. states with the highest GDPs were California ($3.36 Trillion), Texas ($2.1 Trillion), and New York ($2.0 Trillion).
Question: How do I make an Old Fashioned?
Answer: A popular recipe for an Old Fashioned is to mix 2 ounces of bourbon with a teaspoon of simple syrup and a few dashes of Angostura bitters. Garnish with an orange peel. However, there are many variations including using maple syrup & other varieties of bitters.
Question: Summarise why lightweight rowing event was at risk in Olympics
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.
Answer: The Programme Commission was of the opinion that only combat sports and weightlifting should have weight categories. No other sport with weight categorisations should be allowed.
Question: From the passage identify the symbols of Persephone. Display the results in a comma separated format.
Evidence: Persephone (Περσεφόνη, Persephónē)

Queen of the Underworld, wife of Hades and daughter of Demeter and Zeus. Her symbols include the pomegranate, grain, torches, wheat and the asphodelus. After her abduction by Hades, she was forced to split the year between the world of the dead with her husband and the world of the living with her mother. She was worshipped in conjunction with Demeter, especially in the Eleusinian Mysteries. In ancient art she is usually depicted as a young woman, usually in the scene of her abduction.
Answer: pomegranate, grain, torches, wheat, the asphodelus
Question: Name five water Pokemon.
Answer: Five water Pokemon are Squirtle, Poliwhirl, Seel, Horsea, and Staryu
Question: What are some menu items I can buy at Taco Bell?
Answer: Taco Bell serves items such as bean burritos, crunchy tacos, soft tacos, nachos, quesadillas, quesoritos, Crunchwrap Supremes, Mountain Dew Baja Blasts, and Doritos Tacos Locos.
Question: What is a common nickname to the Olivella rehderi?
Evidence: Olivella rehderi is a species of small sea snail, marine gastropod mollusk in the subfamily Olivellinae, in the family Olividae, the olives. Species in the genus Olivella are commonly called dwarf olives.
Answer: The Olivella rehderi are commonly called dwarf olives.
Question: Can you summarize the responsibilities of a Chief Data Officer?
Evidence: A chief data officer (CDO) is a corporate officer responsible for enterprise-wide governance and utilization of information as an asset, via data processing, analysis, data mining, information trading and other means. CDOs usually report to the chief executive officer (CEO), although depending on the area of expertise this can vary. The CDO is a member of the executive management team and manager of enterprise-wide data processing and data mining.

The chief data officer title shares its abbreviation with the chief digital officer, but the two are not the same job. The chief data officer has a significant measure of business responsibility for determining what kinds of information the enterprise will choose to capture, retain and exploit and for what purposes. However, the similar-sounding chief digital officer or chief digital information officer often does not bear that business responsibility, but rather is responsible for the information systems through which data is stored and processed. A chief data officer's purpose is to connect the technological results to the needed business results. Various other roles entail having an understanding of the business value. It means using data to derive business outcome. It can be achieved by knowing the team members and activities performed, the stakeholder values and understanding customer needs. Some responsibilities include the governance, advising & monitoring enterprise data. In terms of operations it means enabling data usability along with efficiency and availability. They have to innovate which means driving the business towards digital transformation innovation, cost reduction, and revenue generation. Their role is also to provide supporting analytics with reports on products, customers, operations, and markets. They need to protect the data and eliminate data territorialism while also promoting data ethics.
Answer: Below are the key responsibilities of a Chief Data Officer,
Making sure the business can achieve its results by effective use of data processed within the enterprise.
Establish enterprise-wide governance on data collection, data processing, data analysis, and mining and sharing of data across teams and outside the enterprise.
Guiding teams within the enterprise on best practices, compliance standards, and company responsibility in collecting and using data.
Establish monitoring standards for making sure how data is accessed, who access the data, and having a catalog of all data assets.
Question: How many items is in a baker's dozen?
Answer: A baker's dozen typically contains 13 items vs. 12. The term baker's dozen has roots in medieval England, when bakers would create an extra item to avoid falling short, and facing punishment. The term has carried on to today, where if you ask for a baker's dozen, you'll get 13 of the item you are ordering!
Question: How big are improvements of MMM over state of the art?
Evidence: We first evaluate our method on the DREAM dataset. The results are summarized in Table TABREF16. In the table, we first report the accuracy of the SOTA models in the leaderboard. We then report the performance of our re-implementation of fine-tuned models as another set of strong baselines, among which the RoBERTa-Large model has already surpassed the previous SOTA. For these baselines, the top-level classifier is a two-layer FCNN for BERT-based models and a one-layer FCNN for the RoBERTa-Large model. Lastly, we report model performances that use all our proposed method, MMM (MAN classifier + speaker normalization + two stage learning strategies). As direct comparisons, we also list the accuracy increment between MMM and the baseline with the same sentence encoder marked by the parentheses, from which we can see that the performance augmentation is over 9% for BERT-Base and BERT-Large. Although the RoBERTa-Large baseline has already outperformed the BERT-Large baseline by around 18%, MMM gives us another $\sim $4% improvement, pushing the accuracy closer to the human performance. Overall, MMM has achieved a new SOTA, i.e., test accuracy of 88.9%, which exceeds the previous best by 16.9%.
Overall, MMM has achieved a new SOTA, i.e., test accuracy of 88.9%, which exceeds the previous best by 16.9%.
Answer: The answers are shown as follows:
* test accuracy of 88.9%, which exceeds the previous best by 16.9%
Question: Is it safe to drink water out of a creek?
Answer: No, untreated surface water is typically not safe to drink, as it could contain bacteria or parasites that cause disease.
Question: What are some of the ways that people celebrate the "Jindo's Sea Way" festival in South Korea?
Evidence: A medium-sized hunting dog breed called the Korean Jindo Dog originates from Jindo. It is known in Korea for its fierce loyalty, attachment to home and hunting abilities. Since 1936, the dog is considered as a national cultural legacy and has been protected during the war times. There is a Jindo Dog Research and Testing Center on the island.

The tide-related sea level variations result in a land pass 2.9 km long and 10–40 meters wide opening for approximately an hour between the main Jindo island and the small Modo island to the south of Jindo. The event occurs about twice a year, around April–June. It had long been celebrated in a local festival called "Jindo's Sea Way", but was largely unknown to the world until 1975, when the French ambassador Pierre Randi described the phenomenon in a French newspaper. Nowadays, nearly half a million foreign and local tourists attend the event annually. It is accompanied by local festivals which include Ganggangsuwollae (Korean traditional circle dance), Ssitkim-gut (a shaman ritual, consoling the souls of the dead), Deul Norae (traditional farmers songs), Manga (burial ceremony songs), Jindo dog show, Buknori (drum performance) and fireworks.

The island has three art galleries, Sojun, Namjin and Sochi, containing collections of painters who worked here over the past centuries.
Answer: Almost half a million people travel to Jindo annually to celebrate the "Jindo's Sea Way" festival each year. Celebrations include traditional circle dancing, farmer songs, fireworks, and a Jindo dog show.
Question: What style of music is played in the World of Warcraft game?
Evidence: Almost all of the music in World of Warcraft is orchestral, with a wide variety of classical and folk instruments in harmony, often playing widely transformative, non-repetitive melodies. While the player is in game, music is usually playing from a set of tracks composed to match the mood of the type of environment your character is in such as "mountain", "forest", "plains", "jungle", et cetera; while some individual zones and cities such as Elwynn Forest and Thunder Bluff are given their own set of tracks. Some environments play different music depending on the time of day you are in them.
Answer: Most of the music in World of Warcraft is orchestral, with a variety of classical and folk instruments in harmony.
Question: Given these paragraphs about battery storage power stations, for how long a battery storage power station can output?
Evidence: A battery storage power station is a type of energy storage power station that uses a group of batteries to store electrical energy. Battery storage is the fastest responding dispatchable source of power on electric grids, and it is used to stabilise those grids, as battery storage can transition from standby to full power in under a second to deal with grid contingencies.

At full rated power, battery storage power stations are generally designed to output for up to a few hours. Battery storage can be used for short-term peak power and ancillary services, such as providing operating reserve and frequency control to minimize the chance of power outages. They are often installed at, or close to, other active or disused power stations and may share the same grid connection to reduce costs. Since battery storage plants require no deliveries of fuel, are compact compared to generating stations and have no chimneys or large cooling systems, they can be rapidly installed and placed if necessary within urban areas, close to customer load.
Answer: At full rated power, battery storage power stations are generally designed to output for up to a few hours.
Question: Explain the use of screens in basketball
Answer: In basketball, when a team has the ball, one person may set a screen by blocking a defender with his body but making sure his hands are not extended. This allows the person with the ball to pass, shoot, etc. without issuing any fouls. If the person setting a screen moves while screening, the referee will call a moving screen and the ball will be inbounded by the person who moved while screening from the half court line. In any case, screens do not foul the screener for contact unless they are to do physical contact with their hands or feet.
Question: Identify which instrument is string or percussion: Thavil, Seni rebab
Answer: Seni rabab is string, Thavil is percussion.
Question: What components do conventional automatic speech recognition (ASR) systems consist of?
Evidence: Conventional automatic speech recognition (ASR) systems typically consist of several independently learned components: an acoustic model to predict context-dependent sub-phoneme states (senones) from audio, a graph structure to map senones to phonemes, and a pronunciation model to map phonemes to words. Hybrid systems combine hidden Markov models to model state dependencies with neural networks to predict states BIBREF0 , BIBREF1 , BIBREF2 , BIBREF3 . Newer approaches such as end-to-end (E2E) systems reduce the overall complexity of the final system.
Our research builds on prior work that has explored using time-delay neural networks (TDNN), other forms of convolutional neural networks, and Connectionist Temporal Classification (CTC) loss BIBREF4 , BIBREF5 , BIBREF6 . We took inspiration from wav2letter BIBREF6 , which uses 1D-convolution layers. Liptchinsky et al. BIBREF7 improved wav2letter by increasing the model depth to 19 convolutional layers and adding Gated Linear Units (GLU) BIBREF8 , weight normalization BIBREF9 and dropout.
By building a deeper and larger capacity network, we aim to demonstrate that we can match or outperform non end-to-end models on the LibriSpeech and 2000hr Fisher+Switchboard tasks. Like wav2letter, our architecture, Jasper, uses a stack of 1D-convolution layers, but with ReLU and batch normalization BIBREF10 . We find that ReLU and batch normalization outperform other activation and normalization schemes that we tested for convolutional ASR. As a result, Jasper's architecture contains only 1D convolution, batch normalization, ReLU, and dropout layers – operators highly optimized for training and inference on GPUs.
It is possible to increase the capacity of the Jasper model by stacking these operations. Our largest version uses 54 convolutional layers (333M parameters), while our small model uses 34 (201M parameters). We use residual connections to enable this level of depth. We investigate a number of residual options and propose a new residual connection topology we call Dense Residual (DR).
Integrating our best acoustic model with a Transformer-XL BIBREF11 language model allows us to obtain new state-of-the-art (SOTA) results on LibriSpeech BIBREF12 test-clean of 2.95% WER and SOTA results among end-to-end models on LibriSpeech test-other. We show competitive results on Wall Street Journal (WSJ), and 2000hr Fisher+Switchboard (F+S). Using only greedy decoding without a language model we achieve 3.86% WER on LibriSpeech test-clean.
This paper makes the following contributions:
Conventional automatic speech recognition (ASR) systems typically consist of several independently learned components: an acoustic model to predict context-dependent sub-phoneme states (senones) from audio, a graph structure to map senones to phonemes, and a pronunciation model to map phonemes to words.
Answer: An acoustic model, a graph structure and a pronunciation model.
Question: How many phenotypes were considered for annotation?
Evidence: Clinical researchers teamed with junior medical residents in collaboration with more senior intensive care physicians to carry out text annotation over the period of one year BIBREF13. Operators were grouped to facilitate the annotation of notes in duplicate, allowing for cases of disagreement between operators. The operators within each team were instructed to work independently on note annotation. Clinical texts were annotated in batches which were time-stamped on their day of creation, when both operators in a team completed annotation of a batch, a new batch was created and transferred to them.
Two groups (group 1: co-authors ETM & JTW; group 2: co-authors JW & JF) of two operator pairs of one clinical researcher and one resident physician (who had previously taken the MCAT®) first annotated nursing notes and then discharge summaries. Everyone was first trained on the high-context phenotypes to look for as well as their definitions by going through a number of notes in a group. A total of 13 phenotypes were considered for annotation, and the label “unsure” was used to indicate that an operator would like to seek assistance determining the presence of an phenotype from a more senior physician. Annotations for phenotypes required explicit text in the note indicating the phenotype, but as a result of the complexity of certain phenotypes there was no specific dictionary of terms, or order in which the terms appeared, required for a phenotype to be considered present.
A total of 13 phenotypes were considered for annotation, and the label “unsure” was used to indicate that an operator would like to seek assistance determining the presence of an phenotype from a more senior physician.
Answer: 13 phenotypes.
Question: Given this paragraph about the Pearl Mill Village Historic District, tell me where it is located.
Evidence: Pearl Mill Village Historic District is a national historic district located at Durham, Durham County, North Carolina. The district encompasses 26 contributing residential buildings built by owners of Pearl Cotton Mills. The mill village dwellings are either two-story duplex type built about 1905 or a one-story bungalow constructed about 1924.
Answer: The Pearl Mill Village Historic District is in Durham, North Carolina.
Question: What novel class of recurrent-like networks is proposed?
Evidence: First, we propose a class of recurrent-like neural networks for NLP tasks that satisfy the differential equation DISPLAYFORM0
where DISPLAYFORM0
and where INLINEFORM0 and INLINEFORM1 are learned functions. INLINEFORM2 corresponds to traditional RNNs, with INLINEFORM3 . For INLINEFORM4 , this takes the form of RNN cells with either nested internal memories or dependencies that extend temporally beyond the immediately previous hidden state. In particular, using INLINEFORM5 for sentence generation is the topic of a manuscript presently in preparation.
First, we propose a class of recurrent-like neural networks for NLP tasks that satisfy the differential equation DISPLAYFORM0

where DISPLAYFORM0

and where INLINEFORM0 and INLINEFORM1 are learned functions. INLINEFORM2 corresponds to traditional RNNs, with INLINEFORM3 . For INLINEFORM4 , this takes the form of RNN cells with either nested internal memories or dependencies that extend temporally beyond the immediately previous hidden state. 
Answer: A network, whose learned functions satisfy a certain equation. The  network contains RNN cells with either nested internal memories or dependencies that extend temporally beyond the immediately previous hidden state.