DataHammer/scimrc huggingface dataset:
Question: Classify each of the following as either a wine varietal or style of beer: Lager, Ale, India pale ale, Sauvignon Blanc, Cabernet Sauvignon, Pinot Noir
Answer: Lager is a style of beer which is brewed and conditioned at low temperature.
Ale is a style of beer which is known for being full-bodied and somewhat bitter, with strong flavors and aromas of hops.
India pale ale is a hoppy beer typically known for having a higher alcohol by volume (ABV). 
Sauvignon Blanc is a white wine varietal that originates from the city of Bordeaux in France.
Cabernet Sauvignon is one of the world's most recognized red wine grape varieties.
Pinot Noir is a red wine grape variety derived from the French words for pine and black.
Question: What is pair skating, Can you help identify some key points from the give text?
Evidence: Pair skating is a figure skating discipline defined by the International Skating Union (ISU) as "the skating of two persons in unison who perform their movements in such harmony with each other as to give the impression of genuine Pair Skating as compared with independent Single Skating". The ISU also states that a pairs team consists of "one Woman and one Man". Pair skating, along with men's and women's single skating, has been an Olympic discipline since figure skating, the oldest Winter Olympic sport, was introduced at the 1908 Summer Olympics in London. The ISU World Figure Skating Championships introduced pair skating in 1908.
Answer: 1. The International Skating Union (ISU) defines pair skating as "the skating of two persons in unison who perform their movements in such harmony with each other as to give the impression of genuine Pair Skating as compared to independent Single Skating" as a kind of figure skating.
2. According to the ISU, a pairs team is comprised of "one Man and one Woman."
3. Since figure skating, the first Winter Olympic sport, was established at the 1908 Summer Olympics in London, men's and women's pair skating have been Olympic events, along with men's and women's single skating.
4. Pair skating was first featured in the ISU World Figure Skating Championships in 1908.
Question: What are three ways of drying clothes.
Answer: 1. You could air dry clothes after washing 2. You could use a dryer 3. You could also have the clothes dry cleaned
Question: How they use sequence tagging to answer multi-span questions?
Evidence: To model an answer which is a collection of spans, the multi-span head uses the $\mathtt {BIO}$ tagging format BIBREF8: $\mathtt {B}$ is used to mark the beginning of a span, $\mathtt {I}$ is used to mark the inside of a span and $\mathtt {O}$ is used to mark tokens not included in a span. In this way, we get a sequence of chunks that can be decoded to a final answer - a collection of spans.
To model an answer which is a collection of spans, the multi-span head uses the $\mathtt {BIO}$ tagging format BIBREF8: $\mathtt {B}$ is used to mark the beginning of a span, $\mathtt {I}$ is used to mark the inside of a span and $\mathtt {O}$ is used to mark tokens not included in a span. In this way, we get a sequence of chunks that can be decoded to a final answer - a collection of spans.
Answer: The answers are shown as follows:
* To model an answer which is a collection of spans, the multi-span head uses the $\mathtt {BIO}$ tagging format BIBREF8: $\mathtt {B}$ is used to mark the beginning of a span, $\mathtt {I}$ is used to mark the inside of a span and $\mathtt {O}$ is used to mark tokens not included in a span
Question: What Are Qualified Expenses for approved Use of 529 accounts?
Answer: This is not an exhaustive list of qualified expenses, and rules for some of these expenses can be more complicated than others. You can always review the IRS 529 plan guidelines or your 529 plan for more specific information. 

Tuition and Fees
Books and Supplies
Computers, Software and Internet Access
Room and Board
Special Needs Equipment
Student Loans
Study Abroad
Question: Tell me which of these Australian cities are on the coast and which are inland. Brisbane, Melbourne, Canberra, Adelaide, Hobart, Darwin and Perth.
Answer: Brisbane, Melbourne, Adelaide, Hobart, Darwin, Perth are all coastal Australian cities. Canberra is an inland Australian city.
Question: Tell me whether these are part of the judicial, executive, or legislative branch of government: Supreme Court, President, House, Senate
Answer: Supreme Court: Judicial
President: Executive
House: Legislative
Senate: Legislative
Question: Identify which instrument is string or percussion: Kemence, Castanets
Answer: Castanets is percussion, Kemence is string.
Question: How many total men fought at Kosovo Field according to text?
Evidence: The Crusaders, numbering 22,000-30,000 arrived at Kosovo Field (the site of the first Battle of Kosovo in 1389, between Serbs and Ottomans) having faced an Ottoman army of 40,000-60,000 men Sultan Murad personally commanded a large section of cannons and janissaries, while his son and would-be successor, 16-year-old Mehmed, who faced battle for the first time, led the Anatolian troops at the right wing. Hunyadi commanded the center of his army in the battle, while the Crusaders right wing was under the Wallachians. The Hungarians had long barrage cannons. Calculating that he would need more than 40,000 men to defeat the Ottomans, the Hungarian regent sought to join up with anti-Ottoman Albanian forces, possibly led by Skanderbeg. The Ottomans in their base at Sofia received word of the Crusader army's march route and subsequently began readying their men.
Answer: The Crusaders fielded 22,000-30,000 men and the Ottomans 40,000-60,000 for a combined total of 62,000-90,000 men.
Question: What can be comprised in expressions in similarity sets?
Evidence: In our approach we develop the idea of BIBREF16 that proposed to construct similarity sets between ngram phrases between each other and single words. Phrases and words are included in the same similarity set if they have the same component word, for example, weapon – nuclear weapon – weapon of mass destruction; discrimination – racial discrimination. It was supposed that if expressions from the same similarity set co-occur in the same document then their contribution into the document's topics is really more than it is presented with their frequencies, therefore their frequencies should be increased. In such an approach, the algorithm can "see" similarities between different multiword expressions with the same component word.
In our approach, at first, we include related single words and phrases from a thesaurus such as WordNet or EuroVoc in these similarity sets. Then, we add preliminarily extracted ngrams into these sets and, this way, we use two different sources of external knowledge. We use the same LDA-SIM algorithm as described in BIBREF16 but study what types of semantic relations can be introduced into such similarity sets and be useful for improving topic models. The pseudocode of LDA-SIM algorithm is presented in Algorithm SECREF3 , where INLINEFORM0 is a similarity set, expressions in similarity sets can comprise single words, thesaurus phrases or generated noun compounds.
We can compare this approach with the approaches applying the generalized Polya urn model BIBREF8 , BIBREF9 , BIBREF10 . To add prior knowledge, those approaches change topic distributions for related words globally in the collection. We modify topic probabilities for related words and phrases locally, in specific texts, only when related words (phrases) co-occur in these texts.
[ht!] collection INLINEFORM0 , vocabulary INLINEFORM1 , number of topics INLINEFORM2 , initial INLINEFORM3 and INLINEFORM4 , sets of similar expressions INLINEFORM5 , hyperparameters INLINEFORM6 and INLINEFORM7 , INLINEFORM8 is the frequency of INLINEFORM9 in the document INLINEFORM10 distributions INLINEFORM11 and INLINEFORM12 not meet the stop criterion INLINEFORM13 INLINEFORM14 
 INLINEFORM0 INLINEFORM1 
 INLINEFORM0 
 INLINEFORM0 
 LDA-SIM algorithm
The pseudocode of LDA-SIM algorithm is presented in Algorithm 1, where S = {Sw} is a similarity set, expressions in similarity sets can comprise single words, thesaurus phrases or generated noun compounds.
Answer: Single words, thesaurus phrases or generated noun compounds.
Question: What does the author use as a language model?
Evidence: The cognitive processes involved in human language comprehension are complex and only partially identified. According to the dual-stream model of speech comprehension BIBREF1 , sound waves are first converted to phoneme-like features and further processed by a ventral stream that maps those features onto words and semantic structures, and a dorsal stream that (among other things) supports audio-short term memory. The mapping of words onto meaning is thought to be subserved by widely distributed regions of the brain that specialize in particular modalities — for example visual aspects of the word banana reside in the occipital lobe of the brain and are activated when the word banana is heard BIBREF2 — and the different representation modalities are thought to be integrated into a single coherent latent representation in the anterior temporal lobe BIBREF3 . While this part of meaning representation in human language comprehension is somewhat understood, much less is known about how the meanings of words are integrated together to form the meaning of sentences and discourses. One tool researchers use to study the integration of meaning across words is electroencephelography (EEG), which measures the electrical activity of large numbers of neurons acting in concert. EEG has the temporal resolution necessary to study the processes involved in meaning integration, and certain stereotyped electrical responses to word presentations, known as event-related potentials (ERPs), have been identified with some of the processes thought to contribute to comprehension.

In this work, we consider six ERP components that have been associated in the cognitive neuroscience and psycholinguistics literature with language processing and which we analyze in the data from BIBREF0 (see Figure FIGREF1 for spatial and temporal definitions of these ERP components). Three of these — the N400, EPNP, and PNP responses — are primarily considered markers for semantic processing, while the other three — the P600, ELAN, and LAN responses — are primarily considered markers for syntactic processing. However, the neat division of the ERP responses into either semantic or syntactic categories is controversial. The N400 response has been very well studied (for an overview see BIBREF4 ) and it is well established that it is associated with semantic complexity, but the features of language that trigger the other ERP responses we consider here are poorly understood. We propose to use a neural network pretrained as a language model to probe what features of language drive these ERP responses, and in turn to probe what features of language mediate the cognitive processes that underlie human language comprehension, and especially the integration of meaning across words.
We propose to use a neural network pretrained as a language model to probe what features of language drive these ERP responses, and in turn to probe what features of language mediate the cognitive processes that underlie human language comprehension, and especially the integration of meaning across words.
Answer: A neural network pretrained.
Question: Tell me a story in a few sentences about food and how a few short words can make someone hungry
Answer: Driving past the Farmer's Market Café on the Al in Suffolk, England, I saw a sign outside that read, in huge letters, Ham Hock Hash. Nothing else. No other food, no opening times, nothing. Just three little words that launched a thousand U-turns.
Question: Who wrote the music and lyrics for Replay?
Evidence: "Tomorrow" is a show tune from the musical Annie, with music by Charles Strouse and lyrics by Martin Charnin, published in 1977. The number was originally written as "Replay" (The Way We Live Now) for the 1970 short film Replay, with both music and lyrics by Strouse.

In 1972 Strouse, and Thomas Meehan began working on a musical based on the Little Orphan Annie comic strips, Annie. Strouse contributed a reworked version of "Replay" as "Tomorrow". "Annie" took until 1976 to reach Broadway and during that time Strouse reworked "Replay" again for possible use in what became "Charlie and Algernon", a musical version of Daniel Keyes's Flowers for Algernon with book by playwright David Rogers although it was not ultimately used. "
Answer: Charles Strouse
Question: Tell me whether these are different types of galaxies or different types of ecosystems: Forest, Grassland, Irregular, Spiral, Aquatic, Desert, Elliptical, Tundra, Marine
Answer: The different types of galaxies include: Irregular, spiral, and elliptical. The different types of ecosystems include: Forest, Grassland, Aquatic, Desert, Tundra, and Marine.
Question: How do they select answer candidates for their QA task?
Evidence: Each training sample is generated by three steps: align, mask and select, which we call as AMS method. Each sample in the dataset consists of a question and several candidate answers, which has the same form as the CommonsenseQA dataset. An example of constructing one training sample by masking concept $_2$ is shown in Table 2 .
Each training sample is generated by three steps: align, mask and select, which we call as AMS method. Each sample in the dataset consists of a question and several candidate answers, which has the same form as the CommonsenseQA dataset.
Answer: The answers are shown as follows:
* AMS method.
Question: What is the difference between Azure Synapse Dedicated SQL Pools and Serverless SQL Pools?
Answer: Azure Synapse Dedicated SQL pools is based on the legacy on-prem MS SQL Server technology of the past, while Azure Synapse SQL Serverless Pools is a new technology built from the ground up by a different Microsoft team using a modern distributed query processing engine reading files directly on top of ADLS.

Based on these two SQL solutions having completely different architectures they have widely different capabilities, where Synapse Serverless SQL Pools have:
- Great support for legacy T-SQL
- Great integration with Power BI
- Good Support for reading open format files directly from ADLS (including Delta Lake)

However, Serverless SQL Pools has:
- NO support for data writing (no INSERT, UPDATE, DELETE, or MERGE capability), because all integration must happen externally on files.
- NO result caching, so dashboards or queries that are run multiple times will pay in time and money for each execution even if just run seconds ago.
- NO file caching, so cloud storage API can be high and flood the network and slow a larger installation
Question: Which famous Dutch dancer was convicted of being a spy for Germany during WW1
Answer: Berthe Kuyck was a famous Dutch dancer who was convicted of being a spy for Germany during World War I. She was sentenced to death but her sentence was later commuted to life imprisonment.
Question: how can we prevent the best river floods?
Evidence: Prominent levee systems have been built along the Mississippi River and Sacramento River in the United States, and the Po, Rhine, Meuse River, Rhône, Loire, Vistula, the delta formed by the Rhine, Maas/Meuse and Scheldt in the Netherlands and the Danube in Europe. During the Chinese Warring States period, the Dujiangyan irrigation system was built by the Qin as a water conservation and flood control project. The system's infrastructure is located on the Minjiang (Chinese: 岷江; pinyin: Mínjiāng), which is the longest tributary of the Chang Jiang, in Sichuan, China.

The Mississippi levee system represents one of the largest such systems found anywhere in the world. It comprises over 5,600 km (3,500 mi) of levees extending some 1,000 km (620 mi) along the Mississippi, stretching from Cape Girardeau, Missouri, to the Mississippi delta. They were begun by French settlers in Louisiana in the 18th century to protect the city of New Orleans. The first Louisiana levees were about 90 cm (3 ft) high and covered a distance of about 80 km (50 mi) along the riverside. The U.S. Army Corps of Engineers, in conjunction with the Mississippi River Commission, extended the levee system beginning in 1882 to cover the riverbanks from Cairo, Illinois to the mouth of the Mississippi delta in Louisiana. By the mid-1980s, they had reached their present extent and averaged 7.3 m (24 ft) in height; some Mississippi levees are as high as 15 m (50 ft). The Mississippi levees also include some of the longest continuous individual levees in the world. One such levee extends southwards from Pine Bluff, Arkansas, for a distance of some 610 km (380 mi). The scope and scale of the Mississippi levees has often been compared to the Great Wall of China.

The United States Army Corps of Engineers (USACE) recommends and supports cellular confinement technology (geocells) as a best management practice. Particular attention is given to the matter of surface erosion, overtopping prevention and protection of levee crest and downstream slope. Reinforcement with geocells provides tensile force to the soil to better resist instability.

Artificial levees can lead to an elevation of the natural river bed over time; whether this happens or not and how fast, depends on different factors, one of them being the amount and type of the bed load of a river. Alluvial rivers with intense accumulations of sediment tend to this behavior. Examples of rivers where artificial levees led to an elevation of the river bed, even up to a point where the river bed is higher than the adjacent ground surface behind the levees, are found for the Yellow River in China and the Mississippi in the United States.
Answer: Prominent levee systems have been built as a water conservation and flood control project. 
The Mississippi River and Sacramento River in the United States, and the Po, Rhine, Meuse River, Rhône, Loire, Vistula, the delta formed by the Rhine, Maas/Meuse and Scheldt in the Netherlands and the Danube in Europe. The Mississippi levee system represents one of the largest such systems found anywhere in the world
Question: Classify each of the following as either a vegetarian option or not: chicken fried rice, green beans, strawberry banana smoothie, oatmeal, steak, scrambled eggs
Answer: The vegetarian options are green beans, strawberry banana smoothie, oatmeal, and scrambled eggs. The non-vegetarian options are chicken fried rice and steak.
Question: Can kitesurfers sail up against the wind?
Answer: Yes, kitesurfers can sail up against the wind by edging their surfboard upwind at a slight angle relative to 90 degrees crosswind. Depending on the equipment and skill, kitesurfers can generally achieve an upwind angle of ~20 degrees.
Question: How faster is training and decoding compared to former models?
Evidence: In order to verify the time complexity analysis of our model, we measured the running time and speed of BIAF, STACKPTR and our model on PTB training and development set using the projective algorithm. The comparison in Table TABREF24 shows that in terms of convergence time, our model is basically the same speed as BIAF, while STACKPTR is much slower. For decoding, our model is the fastest, followed by BIAF. STACKPTR is unexpectedly the slowest. This is because the time cost of attention scoring in decoding is not negligible when compared with the processing speed and actually even accounts for a significant portion of the runtime.
FLOAT SELECTED: Table 4: Training time and decoding speed. The experimental environment is on the same machine with Intel i9 9900k CPU and NVIDIA 1080Ti GPU.
The comparison in Table TABREF24 shows that in terms of convergence time, our model is basically the same speed as BIAF, while STACKPTR is much slower. For decoding, our model is the fastest, followed by BIAF. STACKPTR is unexpectedly the slowest.
FLOAT SELECTED: Table 4: Training time and decoding speed. The experimental environment is on the same machine with Intel i9 9900k CPU and NVIDIA 1080Ti GPU.
Answer: Proposed vs best baseline:
Decoding: 8541 vs 8532 tokens/sec
Training: 8h vs 8h
Question: Give me a list of different types of cold coffee beverages.
Answer: - Blended (also known as frappe)
- Cà phê đen (Vietnamese iced coffee)
- Cold brew
- Iced coffee
- Iced espresso
- Iced latte (with or without flavoring)
- Nitro cold brew
Question: What are the in-house data employed?
Evidence: To further improve the performance of our models, we introduce in-house labeled data that we use to fine-tune BERT. For the gender classification task, we manually label an in-house dataset of 1,100 users with gender tags, including 550 female users, 550 male users. We obtain 162,829 tweets by crawling the 1,100 users' timelines. We combine this new gender dataset with the gender TRAIN data (from shared task) to obtain an extended dataset, to which we refer as EXTENDED_Gender. For the dialect identification task, we randomly sample 20,000 tweets for each class from an in-house dataset gold labeled with the same 15 classes as the shared task. In this way, we obtain 298,929 tweets (Sudan only has 18,929 tweets). We combine this new dialect data with the shared task dialect TRAIN data to form EXTENDED_Dialect. For both the dialect and gender tasks, we fine-tune BERT on EXTENDED_Dialect and EXTENDED_Gender independently and report performance on DEV. We refer to this iteration of experiments as BERT_EXT. As Table TABREF7 shows, BERT_EXT is 2.18% better than BERT for dialect and 0.75% better than BERT for gender.
To further improve the performance of our models, we introduce in-house labeled data that we use to fine-tune BERT. For the gender classification task, we manually label an in-house dataset of 1,100 users with gender tags, including 550 female users, 550 male users. We obtain 162,829 tweets by crawling the 1,100 users' timelines.
For the dialect identification task, we randomly sample 20,000 tweets for each class from an in-house dataset gold labeled with the same 15 classes as the shared task.
Answer: The answers are shown as follows:
* we manually label an in-house dataset of 1,100 users with gender tags
* we randomly sample 20,000 tweets for each class from an in-house dataset gold labeled with the same 15 classes as the shared task
Question: Give me a list of Tour de France general Classification winners who have won more than 4 times.
Answer: Jacques Anquetil, Eddie Merckx, Bernard Hinault, Miguel Indurain and Lance Armstrong. Lance Armstrong has won seven times but had those victories rescinded after admitting to using performance enhancing drugs.