DataHammer/scimrc huggingface dataset:
Question: What are the Grand Slams of tennis?
Answer: In tennis there are four major tennis tournaments each year which are each called a Grand Slam tournament.  The first each year is the Australian open, which is played on hard courts.  The second is the French Open, which is played on clay courts.  The third is Wimbledon, which takes place in London on grass courts and the final tournament is the US Open, which takes place in New York City.
Question: How many American's signed the Declaration of Independence?
Evidence: The Declaration of Independence was signed by 56 of America's Founding Fathers, who were Second Continental Congress delegates from New Hampshire, Massachusetts Bay, Rhode Island and Providence Plantations, Connecticut, New York, New Jersey, Pennsylvania, Maryland, Delaware, Virginia, North Carolina, South Carolina, and Georgia. The Declaration became one of the most circulated and widely reprinted documents in early American history.
Answer: 56
Question: What is pisco?
Answer: Pisco is a spirit made of grapes in wine making regions of Perú or Chile. The brandy‘s country of origin is highly debated. Peruvian pisco is clearer in color than the more amber Chilean pisco.
Question: What is archaeology?
Answer: Archaeology is the study of past human cultures through the analysis of material culture. Archaeologists study where people lived, what they ate, social patterns, the types of structures they built and how people interacted with one another as well as the environment.
Question: When playing golf, categorize each of the following items as "useful" or "useless": Irons, putter, dumbbell, tees, skis, range finder, jeans, kayak.
Answer: Irons: Useful
Putter: Useful
Dumbbell: Useless
Tees: Useful
Skis: Useless
Range Finder: Useful 
Jeans: Useless
Kayak: Useless
Question: Give me a bulleted list of ways I can prank my friends on April fools day
Answer: The following are some ways to prank your friends on April fools day:
1. Send a fake ultrasound saying you're pregnant.
2. Convince your friends you need to move to their city for work.
3. Pour vodka in their water bottle.
4. Send a gift in a box for an expensive item with a card saying April fools inside.
5. Move their car to another spot overnight and tell them you don't know where it could be.
Question: What horsepower does a BMW 1250GS produce
Evidence: The engine displaces 1,254 cc (76.5 cu in) with 102.5 mm bore × 76 mm stroke. The intake camshafts have two cam lobes per valve that can be switched within one cam revolution between partial-throttle and open-throttle cam profiles. Power and torque claimed by BMW are higher than the predecessor model at 134 horsepower (100 kW) at 7750 rpm and 105.5 pound force-feet (143.0 N⋅m) at 6250 rpm, with 4% better fuel economy.
Answer: The 2018 model of the 1250 GS produced 134 peak HP.
Question: Which of their proposed attention methods works better overall?
Evidence: Tables and summarize the results from the link-prediction experiments on all three datasets, where a different ratio of edges are used for training. Results from models other than GANE are collected from BIBREF9 , BIBREF10 and BIBREF34 . We have also repeated these experiments on our own, and the results are consistent with the ones reported. Note that BIBREF34 did not report results on DMTE. Both GANE variants consistently outperform competing solutions. In the low-training-sample regime our solutions lead by a large margin, and the performance gap closes as the number of training samples increases. This indicates that our OT-based mutual attention framework can yield more informative textual representations than other methods. Note that GANE-AP delivers better results compared with GANE-OT, suggesting the attention parsing mechanism can further improve the low-level mutual attention matrix. More results on Cora and Hepth are provided in the SM.
Note that GANE-AP delivers better results compared with GANE-OT, suggesting the attention parsing mechanism can further improve the low-level mutual attention matrix.
Answer: The answers are shown as follows:
* attention parsing
Question: Extract the Ferrari automobiles that were introduced from 2020 onwards.  List them by year, and separate them with a comma.
Evidence: Current models
Model	Calendar year
introduced	Current model	Vehicle description
Introduction	Update/facelift
2019 Ferrari 812 Superfast S-A 6.5.jpg
812 Superfast	2017	2017	–	Front mid-engine, rear-wheel-drive grand tourer.
Ferrari Portofino M IMG 4351.jpg
Portofino M	2017	2017	2021	Retractable hardtop convertible grand tourer.
Ferrari Monza SP1, Paris Motor Show 2018, IMG 0643.jpg
Monza SP1	2019	2019	–	Limited production single-seater sports car, part of the new Icona range.
2019 Ferrari Monza SP2.jpg
Monza SP2	2019	2019	–	Limited production two-seater sports car, part of the new Icona range.
2020 Ferrari F8 Tributo 3.9.jpg
F8	2019	2019	–	Mid-engine sports car that replaced the Ferrari 488.
Red 2019 Ferrari SF90 Stradale (48264238897) (cropped).jpg
SF90 Stradale	2019	2019	–	Mid-engine, plug-in hybrid sports car.
Ferrari Roma IMG 5355.jpg
Roma	2020	2020	–	Grand tourer sports car.
Ferrari 296 GTB - Paris 06.jpg
296 GTB	2022	2022	–	Mid-engine, plug-in hybrid sports car.
2022-08-21 Monterrey Ferrari SP3.jpg
Daytona SP3	2022	2022	–	Limited production mid-engine sports car, part of the new Icona range.
2023 Ferrari Purosangue.jpg
Purosangue	2022	2023	–	Ferrari's first SUV; uses the same platform as the Roma.
Answer: 2020 Roma, 2022 296 GTB, 2022 Daytona SP3, 2022 Purosangue
Question: List some of the characters on The X-Files who were infected by, but did not die from, exposure to the alien black oil virus.
Answer: Alex Krycek, Dana Scully, Fox Mulder, Marita Covarrubias, Dmitri, Bernard Gauthier, Joan Gauthier
Question: Which framework was the dataset first released in?
Evidence: The proliferation of the online social media has lately resulted in the democratization of online content sharing. Among other media, Twitter is very popular for research and application purposes due to its scale, representativeness and ease of public access to its content. However, tweets, that are short messages of up to 140 characters, pose several challenges to traditional Natural Language Processing (NLP) systems due to the creative use of characters and punctuation symbols, abbreviations ans slung language.
Named Entity Recognition (NER) is a fundamental step for most of the information extraction pipelines. Importantly, the terse and difficult text style of tweets presents serious challenges to NER systems, which are usually trained using more formal text sources such as newswire articles or Wikipedia entries that follow particular morpho-syntactic rules. As a result, off-the-self tools trained on such data perform poorly BIBREF0 . The problem becomes more intense as the number of entities to be identified increases, moving from the traditional setting of very few entities (persons, organization, time, location) to problems with more. Furthermore, most of the resources (e.g., software tools) and benchmarks for NER are for text written in English. As the multilingual content online increases, and English may not be anymore the lingua franca of the Web. Therefore, having resources and benchmarks in other languages is crucial for enabling information access worldwide.
In this paper, we propose a new benchmark for the problem of NER for tweets written in French. The tweets were collected using the publicly available Twitter API and annotated with 13 types of entities. The annotators were native speakers of French and had previous experience in the task of NER. Overall, the generated datasets consists of INLINEFORM0 tweets, split in training and test parts.
The paper is organized in two parts. In the first, we discuss the data preparation steps (collection, annotation) and we describe the proposed dataset. The dataset was first released in the framework of the CAp 2017 challenge, where 8 systems participated. Following, the second part of the paper presents an overview of baseline systems and the approaches employed by the systems that participated. We conclude with a discussion of the performance of Twitter NER systems and remarks for future work.
The dataset was first released in the framework of the CAp 2017 challenge, where 8 systems participated.
Answer: The dataset was first released in the framework of the CAp 2017 challenge.
Question: What is the study of flags called?
Answer: The Study of Flags Is Called Vexillology. Vexillology as a word is derived from the Latin vexillum, a term used by the Romans to refer to a kind of standard with a fabric hung from a horizontal crossbar on a pole. It is the nearest equivalent in the classical languages to what we call a flag today.
Question: Please describe  what is oil and give me a list of it’s applications.
Evidence: An oil is any nonpolar chemical substance that is composed primarily of hydrocarbons and is hydrophobic (does not mix with water) & lipophilic (mixes with other oils). Oils are usually flammable and surface active. Most oils are unsaturated lipids that are liquid at room temperature.

The general definition of oil includes classes of chemical compounds that may be otherwise unrelated in structure, properties, and uses. Oils may be animal, vegetable, or petrochemical in origin, and may be volatile or non-volatile. They are used for food (e.g., olive oil), fuel (e.g., heating oil), medical purposes (e.g., mineral oil), lubrication (e.g. motor oil), and the manufacture of many types of paints, plastics, and other materials. Specially prepared oils are used in some religious ceremonies and rituals as purifying agents.
Answer: An oil is a chemical substance that is composed primarily of hydrocarbons and may be animal, vegetable or petrochemical in origin.
Oil is used in a wide range of applications and is essential to everyday human life. These are:
Cooking - edible vegetable and animal oils are used for various purposes in cooking and food preparation
Cosmetics - most facial cleansers, lotions and hair care products contain molecules that come from mineral and vegetable oils
Fuel - crude oil is refined and converted to diesel, gasoline or jet fuel to power cars, trucks and planes
Heating - petrochemical oil is used for heating
Painting - oil is used as a supporting medium for paints
Lubrication - oils are used in various engineering purposes as they do not easily adhere to other substance which makes them useful as lubricants
Religion - oil has been used throughout history as a religious medium. It is often considered a spiritually purifying agent and is used to anointing purposes
Health - oils holds lots of fats and medical properties, for example fish oil holds the omega-3 fatty acid which helps with inflammation and reduces fat in the bloodstream
Question: Think of a number of different ways you can get around Sydney.
Answer: There are a number of modes of transport in Sydney. Sydney has a public transport network with trains and buses. There are also car share, taxi services, electric bikes and e-scooters that can be hired through mobile applications, and you can always walk between places if they are not too far apart.
Question: What do they investigate in their paper?
Evidence: Gradient descent-based methods BIBREF20, BIBREF21, BIBREF22, BIBREF23 are popularly used in optimizing deep neural networks. For convolutional neural networks and recurrent neural networks, a relatively large learning rate is usually set in the beginning, and then decreased along with the optimization process BIBREF24, BIBREF25, BIBREF26, BIBREF27, BIBREF28. The learning rate warm-up stage has only been shown essential in dealing with some very specific problems, e.g., the large-batch training. BIBREF29, BIBREF28, BIBREF30 showed that a learning rate warm-up stage is preferred when training neural networks with extremely large batch sizes.
However, the learning rate warm-up stage is essential and critical when optimizing the Transformer models in a majority of scenarios BIBREF0, BIBREF8, BIBREF3, BIBREF7, BIBREF31. BIBREF10 investigated the influence of different warm-up strategies for the optimization of the Post-LN Transformer model and found that without or with relatively less warm-up iterations, the optimization diverges. The Pre-LN Transformer has been proposed in several recent works BIBREF18, BIBREF19, BIBREF2 to alleviate some optimization issues when training deeper models, but the troublesome warm-up stage still remains in their training pipelines.
In a concurrent and independent work BIBREF11, the authors claimed that the benefit of the warm-up stage comes from reducing the variance for the adaptive learning rate in the Adam optimizer BIBREF20. They proposed to rectify the variance of adaptive learning rate by a new variant of Adam called RAdam. However, we find that not only for Adam, the learning rate warm-up stage also helps quite a lot for other optimizers. This may indicate that Adam is not the prerequisite for the necessity of the warm-up stage. Therefore, we re-identify the problem and find that it highly relates to the architecture, in particular, the position of layer normalization.
Despite its great success, people usually need to deal with the optimization of the Post-LN Transformer more carefully than convolutional networks or other sequence-to-sequence models (Popel & Bojar, 2018). In particular, to train the model from scratch, any gradient-based optimization approach requires a learning rate warm-up stage (Vaswani et al., 2017; Liu et al., 2019a): the optimization starts with an extremely small learning rate, and then gradually increases it to a pre-defined maximum value in a pre-defined number of iterations. Such a warm-up stage not only slows down the optimization process but also brings more hyperparameter tunings. Popel & Bojar (2018) has shown that the final model performance is quite sensitive to the value of the maximum learning rate and the number of warm-up iterations. Tuning such sensitive hyper-parameters is costly in training large-scale models, e.g., BERT (Devlin et al., 2018) or XLNet (Yang et al., 2019b). In this paper, we try to alleviate this problem by finding ways to safely remove the learning rate warm-up stage.
Answer: How to safely remove the learning rate warm-up stage in training the Post-LN Transformer.
Question: IsNarcissus tete a tete a flower
Evidence: Narcissus 'Tête-à-tête' is a hybrid cultivar of Narcissus, which was introduced in 1949. It is one of 110 cultivars produced by British daffodil breeder Alec Gray. 'Tête-à-tête' is a popular ornamental plant, which is known for its very early flowering period and short stature. This cultivar is commonly used as a garden plant where it can be planted in pots, rock gardens, garden borders and even naturalized in lawns. The cultivar name 'Tête-à-tête' means to have a conversation between two people, which relates to the cultivar often hosting a pair of flowers per stem.
Answer: Narcissus Tete-a-tete is a hybrid cultivar of Narcissus, which was introduced in 1949. It is one of 110 cultivars produced by British daffodil breeder Alec Gray.
Question: Is there any word omissions in Vietnamese dictionaries?
Evidence: In Vietnamese, not all of meaningful proper names are in the dictionary. Identifying proper names in input text are also important issue in word segmentation. This issue is sometimes included into unknown word issue to be solved. In addition, named entity recognition has to classify it into several types such as person, location, organization, time, money, number, and so on.
Proper name identification can be solved by characteristics. For example, systems use beginning characters of proper names which are uppercase characters. Moreover, a list of proper names is also used to identify names in the text. In particular, a list of 2000 personal names extracted from VietnamGiaPha, and a list of 707 names of locations in Vietnam extracted from vi.wikipedia.org are used in the study of Nguyen et al. for Vietnamese word segmentation BIBREF7 .
In Vietnamese, not all of meaningful proper names are in the dictionary.
Answer: Yes.
Question: What is a nickname of Jiang Zemin
Evidence: Moha (Chinese: 膜蛤; pinyin: Mó Há, pronounced [muǒ.xǎ]), literally "admiring toad" or "toad worship", is an internet meme spoofing Jiang Zemin, former General Secretary of the Chinese Communist Party and paramount leader. It originated among the netizens in mainland China and has become a subculture on the Chinese internet. According to another explanation, it comes from China's social media Baidu Tieba. In the culture, Jiang is nicknamed há, or "toad", because of his supposed resemblance to a toad. Netizens who móhá (worship the toad) call themselves "toad fans", "toad lovers" or "toad worshippers" (simplified Chinese: 蛤丝; traditional Chinese: 蛤絲), or "mogicians" (膜法师; 膜法師) which is a wordplay on mófǎshī (魔法师; 魔法師, magician) in Mandarin.[note 1]

Another nickname for Jiang is "elder" or "senior" (长者; 長者; Zhǎngzhě), because he once called himself an "elder" or "senior" when he was berating Hong Kong journalist Sharon Cheung who questioned him. A video clip recording this event spread on the internet and led to the rise of the culture, which later greatly rose in popularity around 2014, when Hong Kong was experiencing a period of political instability. Initially, netizens extracted Jiang's quotes from the video and imitated his wording and tone, for parody and insult. However, as the culture developed, some imitations have taken to carrying affection toward him. The quotes for imitation have also evolved to include what he said during his leadership, and in his personal life.
Answer: Elder or senior
Question: What is freedom?
Answer: Freedom could mean different things to different people. Often times the definition of freedom is based on the geo location, age, gender even your mood. For example, people in the United States sometimes associate freedom with the ability to speak, think and feel as they wish.
Question: How do I maintain friendships?
Answer: Friendships flourish when you put effort into maintaining them. 

Make time for your friends, and make memories together. Make plans to meet up with your friends regularly, turn up and do things that you both enjoy. 

Stay in contact with your friends by reaching out to them. It does not have to be every day, but, at least once a month, check in with them to see how they are doing. 

Keep a record of your friend’s important dates, for example their birthday.  On these dates, send a card and gift to them. This will show them that you care. 

If a friend is dealing with a difficult personal situation, you should be there for them by offering your support and checking in with them more frequently. 

Friendships work both ways and so your friends should also be making an effort with you.
Question: How do they collect the control corpus?
Evidence: Data was collected from a 10% uniform sample of Twitter posts made during 2013, specifically the Gardenhose API. Twitter activity consists of short posts called tweets which are limited to 140 characters. Retweets, where users repost a tweet to spread its content, were not considered. (The spread of causal statements will be considered in future work.) We considered only English-language tweets for this study. To avoid cross-language effects, we kept only tweets with a user-reported language of `English' and, as a second constraint, individual tweets needed to match more English stopwords than any other language's set of stopwords. Stopwords considered for each language were determined using NLTK's database BIBREF29 . A tweet will be referred to as a `document' for the rest of this work.
Causal documents were chosen to contain one occurrence only of the exact unigrams: `caused', `causing', or `causes'. The word `cause' was not included due to its use as a popular contraction for `because'. One `cause-word' per document restricted the analysis to single relationships between two relata. Documents that contain bidirectional words (`associate', `relate', `connect', `correlate', and any of their stems) were also not selected for analysis. This is because our focus is on causality, an inherently one-sided relationship between two objects. We also did not consider additional synonyms of these cause words, although that could be pursued for future work. Control documents were also selected. These documents did not contain any of `caused', `causing', or `causes', nor any bidirectional words, and are further matched temporally to obtain the same number of control documents as causal documents in each fifteen-minute period during 2013. Control documents were otherwise selected randomly; causal synonyms may be present. The end result of this procedure identified 965,560 causal and 965,560 control documents. Each of the three “cause-words”, `caused', `causes', and `causing' appeared in 38.2%, 35.0%, and 26.8% of causal documents, respectively.
Data was collected from a 10% uniform sample of Twitter posts made during 2013, specifically the Gardenhose API.
Control documents were also selected. These documents did not contain any of `caused', `causing', or `causes', nor any bidirectional words, and are further matched temporally to obtain the same number of control documents as causal documents in each fifteen-minute period during 2013. Control documents were otherwise selected randomly; causal synonyms may be present. 
Answer: Randomly from Twitter
Question: Given the reference text below, who sang "It's a Great Day to Be Alive"?
Evidence: "It's a Great Day to Be Alive" is a song written by Darrell Scott. It was originally recorded by American country music artist Jon Randall, of whose version was to have been included on an album titled Great Day to Be Alive, which would have been released in the late 1990s via BNA Records. Scott released his own version of his song on his 1997 album Aloha from Nashville.

The song was also recorded by The Sky Kings, an American country-rock supergroup consisting of Bill Lloyd (Foster & Lloyd), Rusty Young (Poco), and John Cowan (New Grass Revival) around 1995/1996. Their version sat unreleased until Rhino Handmade released the compilation "From Out Of The Blue" in 2000.

The song was later covered more famously by American country music artist Travis Tritt. It was released in December 2000 as the second single from his album Down the Road I Go. It peaked at number 2 on the U.S. Billboard Hot Country Singles & Tracks chart and at number 33 on the U.S. Billboard Hot 100 chart.

It was subsequently covered by Pat Green and Cory Morrow on their March 2001 album Songs We Wish We'd Written and by Niko Moon for his 2021 album Good Time.
Answer: "It's a Great Day to Be Alive" is a song written by Darrell Scott which was released in December 2000.
Question: Why is the primary form of travel in the United States personal vehicle rather than by mass transit?
Answer: One reason that mass transit isn't as popular in the United States is that many large cities were built with vehicles in mind thus leading to transportation optimized for vehicular transport. Another reason is that American citizens are much more tolerable or longer travel times, often traveling more than four hours just to visit friends and family in neighboring states.