DataHammer/scimrc huggingface dataset:
Question: Given this paragraph about Chinese cuisine, tell me what are the sub-cuisines, and what made them different.
Evidence: Chinese cuisine encompasses the numerous cuisines originating from China, as well as overseas cuisines created by the Chinese diaspora. Because of the Chinese diaspora and historical power of the country, Chinese cuisine has influenced many other cuisines in Asia and beyond, with modifications made to cater to local palates. Chinese food staples such as rice, soy sauce, noodles, tea, chili oil, and tofu, and utensils such as chopsticks and the wok, can now be found worldwide.

The preferences for seasoning and cooking techniques of Chinese provinces depend on differences in social class, religion, historical background, and ethnic groups. Geographic features including mountains, rivers, forests, and deserts also have a strong effect on the local available ingredients, considering that the climate of China varies from tropical in the south to subarctic in the northeast. Imperial royal and noble preference also plays a role in the change of Chinese cuisine. Because of imperial expansion and trading, ingredients and cooking techniques from other cultures have been integrated into Chinese cuisines over time.

There are numerous regional, religious, and ethnic styles of Chinese cuisine found within China and abroad. Chinese cuisine is highly diverse and most frequently categorized into provincial divisions, although these province-level classifications consist of many more styles within themselves. The most praised Four Great Traditions in Chinese cuisine are Chuan, Lu, Yue, and Huaiyang, representing cuisines of West, North, South, and East China, respectively. The modern Eight Cuisines of China are Anhui (徽菜; Huīcài), Guangdong (粤菜; Yuècài), Fujian (闽菜; Mǐncài), Hunan (湘菜; Xiāngcài), Jiangsu (苏菜; Sūcài), Shandong (鲁菜; Lǔcài), Sichuan (川菜; Chuāncài), and Zhejiang (浙菜; Zhècài) cuisines.


A Quanjude cook is slicing Peking roast duck. Peking duck is eaten by rolling pieces of duck with scallion, cucumber and sweet bean sauce using steamed pancakes.
Color, scent and taste are the three traditional aspects used to describe Chinese food, as well as the meaning, appearance, and nutrition of the food. Cooking should be appraised with respect to the ingredients used, knife work, cooking time, and seasoning.
Answer: The modern Chinese cuisine were broken down into 8 different styles of local cuisine, which are Anhui, Guangdong, Fujian, Hunan , Jiangsu , Shandong, Sichuan, and Zhejiang cuisines. They are different because of many reasons, such as geographic features and climate which shaped the locals to specialize in certain ingredients or flavors, as well as religion and ethnic groups.
Question: What questions is a worker asked to answer?
Evidence: After we collected the conversations from both Reddit and Gab, we presented this data to Mechanical Turk workers to label and create intervention suggestions. In order not to over-burden the workers, we filtered out conversations consisting of more than 20 comments. Each assignment consists of 5 conversations. For Reddit, we also present the title and content of the corresponding submission in order to give workers more information about the topic and context. For each conversation, a worker is asked to answer two questions:

Q1: Which posts or comments in this conversation are hate speech?
Q2: If there exists hate speech in the conversation, how would you respond to intervene? Write down a response that can probably hold it back (word limit: 140 characters).
If the worker thinks no hate speech exists in the conversation, then the answers to both questions are “n/a”. To provide context, the definition of hate speech from Facebook: “We define hate speech as a direct attack on people based on what we call protected characteristics — race, ethnicity, national origin, religious affiliation, sexual orientation, caste, sex, gender, gender identity, and serious disease or disability.” is presented to the workers. Also, to prevent workers from using hate speech in the response or writing responses that are too general, such as “Please do not say that”, we provide additional instructions and rejected examples.
For each conversation, a worker is asked to answer two questions: • Q1: Which posts or comments in this conversation are hate speech? • Q2: If there exists hate speech in the conversation, how would you respond to intervene?
Answer: Q1: Which posts or comments in this conversation are hate speech? • Q2: If there exists hate speech in the conversation, how would you respond to intervene?
Question: What are the three aspects they introduce datasets in detail from?
Evidence: We use two public datasets for fake news detection and stance detection, i.e., RumourEval BIBREF36 and PHEME BIBREF12. We introduce both the datasets in details from three aspects: content, labels, and distribution.
Content. Both datasets contain Twitter conversation threads associated with different newsworthy events including the Ferguson unrest, the shooting at Charlie Hebdo, etc. A conversation thread consists of a tweet making a true and false claim, and a series of replies. Labels. Both datasets have the same labels on fake news detection and stance detection. Fake news is labeled as true, false, and unverified. Because we focus on classifying true and false tweets, we filter the unverified tweets. Stance of tweets is annotated as support, deny, query, and comment. Distribution. RumourEval contains 325 Twitter threads discussing rumours and PHEME includes 6,425 Twitter threads. Threads, tweets, and class distribution of the two datasets are shown in Table TABREF24.
In consideration of the imbalance label distributions, in addition to accuracy (A) metric, we add Precision (P), Recall (R) and F1-score (F1) as complementary evaluation metrics for tasks. We hold out 10% of the instances in each dataset for model tuning, and the rest of the instances are performed 5-fold cross-validation throughout all experiments.
We use two public datasets for fake news detection and stance detection, i.e., RumourEval (Derczynski et al., 2017) and PHEME (Zubiaga et al., 2016b). We introduce both the datasets in details from three aspects: content, labels, and distribution.
Answer: Content, labels, and distribution.
Question: Given this paragraph about a country, what is the most populous Spanish-speaking country?
Evidence: Throughout the 19th century, the population of Mexico had barely doubled. This trend continued during the first two decades of the 20th century. The 1921 census reported a loss of about 1 million inhabitants. The Mexican Revolution (c. 1910–1920) greatly impacted population increases. The growth rate increased dramatically between the 1930s and the 1980s, when the country registered growth rates of over 3% (1950–1980). The Mexican population doubled in twenty years, and at that rate it was expected that by 2000 there would be 120 million people living in Mexico. Life expectancy increased from 36 years (in 1895) to 72 years (in the year 2000). According to estimations made by Mexico's National Geography and Statistics Institute, is estimated in 2022 to be 129,150,971 as of 2017 Mexico had 123.5 million inhabitants making it the most populous Spanish-speaking country in the world.
Answer: Mexico
Question: Is it a good situation to be a dev ?
Answer: You know, for myself I don't think that there is a good or a bad situation. If I had to sum up my life, To be honest, this is much more about meeting people. People who reached out to me, maybe at a time when I couldn't, when I was home alone. And it's quite curious to say to yourself that chance, encounters, forge a destiny... Because when you have a taste for something, when you have a taste for something well done, a nice gesture, sometimes you can't find the interlocutor opposite, I would say, the mirror that helps you move forward. So that's not my case, as I was saying there, since I, on the contrary, I was able to: and I say thank you to life, I say thank you to it, I sing life, I dance life... I am only love! And finally, when many people today say to me “But how do you manage to have this humanity? », Well, I answer them very simply, I tell them that it is this taste for love, this taste that pushed me today to undertake a mechanical construction, but tomorrow who knows? Perhaps simply to put myself at the service of the community, to give, the gift of self...
Question: When did Istanbul (Constantinople) captured by Ottoman?
Evidence: The fall of Constantinople, also known as the conquest of Constantinople, was the capture of the capital of the Byzantine Empire by the Ottoman Empire. The city was captured on 29 May 1453 as part of the culmination of a 53-day siege which had begun on 6 April.

The attacking Ottoman Army, which significantly outnumbered Constantinople's defenders, was commanded by the 21-year-old Sultan Mehmed II (later nicknamed "the Conqueror"), while the Byzantine army was led by Emperor Constantine XI Palaiologos. After conquering the city, Mehmed II made Constantinople the new Ottoman capital, replacing Adrianople.
Answer: Ali Malekshahi
Question: What is Objective-C?
Answer: Objective-C is a high-level general-purpose, object-oriented programming language that adds Smalltalk-style messaging to the C programming language.
Question: Why should I read books?
Answer: Books can be our best friends. We can carry them anywhere with us and get immersed in them. Books are also a great source of knowledge and developing perspective. One can learn about new technologies, historical events, places to visit and more. Finally books also help us focus our mind on something specific for a long duration instead of jumping around to various things when browsing the internet.
Question: What are the typical items used to create a Haft-sin?
Answer: Garlic, apples, coins, wheat sprouts, barley sprouts, lentil sprouts, sweet pudding made from wheat germ, dried oleaster fruit, sumac, vinegar.
Question: What does their architecture use to learn more context-aware representations?
Evidence: Named entity typing is the task of detecting the type (e.g., person, location, or organization) of a named entity in natural language text. Entity type information has shown to be useful in natural language tasks such as question answering BIBREF0 , knowledge-base population BIBREF1 , BIBREF2 , and co-reference resolution BIBREF3 . Motivated by its application to downstream tasks, recent work on entity typing has moved beyond standard coarse types towards finer-grained semantic types with richer ontologies BIBREF0 , BIBREF4 , BIBREF5 , BIBREF6 , BIBREF7 . Rather than assuming an entity can be uniquely categorized into a single type, the task has been approached as a multi-label classification problem: e.g., in “... became a top seller ... Monopoly is played in 114 countries. ...” (fig:arch), “Monopoly” is considered both a game as well as a product.
The state-of-the-art approach BIBREF8 for fine-grained entity typing employs an attentive neural architecture to learn representations of the entity mention as well as its context. These representations are then combined with hand-crafted features (e.g., lexical and syntactic features), and fed into a linear classifier with a fixed threshold. While this approach outperforms previous approaches which only use sparse binary features BIBREF4 , BIBREF6 or distributed representations BIBREF9 , it has a few drawbacks: (1) the representations of left and right contexts are learnt independently, ignoring their mutual connection; (2) the attention on context is computed solely upon the context, considering no alignment to the entity; (3) document-level contexts which could be useful in classification are not exploited; and (4) hand-crafted features heavily rely on system or human annotations.
To overcome these drawbacks, we propose a neural architecture (fig:arch) which learns more context-aware representations by using a better attention mechanism and taking advantage of semantic discourse information available in both the document as well as sentence-level contexts. Further, we find that adaptive classification thresholds leads to further improvements. Experiments demonstrate that our approach, without any reliance on hand-crafted features, outperforms prior work on three benchmark datasets.
To overcome these drawbacks, we propose a neural architecture (fig:arch) which learns more context-aware representations by using a better attention mechanism and taking advantage of semantic discourse information available in both the document as well as sentence-level contexts.
Answer: A better attention mechanism and semantic discourse information available in both the document as well as sentence-level contexts.
Question: What is stratigraphy?
Answer: Stratigraphy is a subset of geology and is the classification of layers (strata) of soil and rock.
Question: What is TESSA?
Answer: This stands for Tax Exempt Special Savings Account. It is a special savings account with banks, building societies and so on and the interest is free of tax if you keep to any rules about withdrawals.
Question: Where did this model place in the final evaluation of the shared task?
Evidence: For the shared task submission, we use the predictions of BERT-1M-MT5 as our first submitted system. Then, we concatenate our DEV and TRAIN data to compose a new training set (thus using all the training data released by organizers) to re-train BERT-1M-MT5 and BERT-MT6 with the same parameters. We use the predictions of these two models as our second and third submissions. Our second submission obtains 82.4 $F_1$ on the official test set, and ranks $4th$ on this shared task.
Our second submission obtains 82.4 $F_1$ on the official test set, and ranks $4th$ on this shared task.
Answer: The answers are shown as follows:
* $4th$
Question: Are there any new finding in analasys of trinomials that was not present binomials?
Evidence: Finally, we expand our work to include multinomials, which are lists of more than two words. There already appears to be more structure in trinomials (lists of three) compared to binomials. Trinomials are likely to appear in exactly one order, and when they appear in more than one order the last word is almost always the same across all instances. For instance, in one section of our Reddit data, `Fraud, Waste, and Abuse' appears 34 times, and `Waste, Fraud, and Abuse' appears 20 times. This could point to, for example, recency principles being more important in lists of three than in lists of two. While multinomials were in principle part of the scope of past research in this area, they were difficult to study in smaller corpora, suggesting another benefit of working at our current scale.
Trinomials are likely to appear in exactly one order, and when they appear in more than one order the last word is almost always the same across all instances. 
Answer: The answers are shown as follows:
* Trinomials are likely to appear in exactly one order
Question: Why people love youtube as a search option rather then Google?
Answer: Because people love to view rather then read to gain knowledge also I believe When you see you capture most rather you read (or hear)
Question: Give me a bulleted list of the first ten MacOS (operating system) versions.
Answer: 1. Mac OS X 10.0 (Cheetah)
2. Mac OS X 10.1 (Puma)
3. Mac OS X 10.2 (Jaguar)
4. Mac OS X 10.3 (Panther)
5. Mac OS X 10.4 (Tiger)
6. Mac OS X 10.5 (Leopard)
7. Mac OS X 10.6 (Snow Leopard)
8. Mac OS X 10.7 (Lion)
9. OS X 10.8 (Mountain Lion)
10. OS X 10.9 (Mavericks)
Question: Extract a list of notable dates and events in the mentioned text in the format, choosing the earliest year when the text provides a range of dates, and place them in a bullet list: {Year} - {Event}
Evidence: The first two centuries of the Roman Empire saw a period of unprecedented stability and prosperity known as the Pax Romana (lit. 'Roman Peace'). Rome reached its greatest territorial expanse during the reign of Trajan (AD 98–117); a period of increasing trouble and decline began with the reign of Commodus (177–192). In the 3rd century, the Empire underwent a crisis that threatened its existence, as the Gallic and Palmyrene Empires broke away from the Roman state, and a series of short-lived emperors, often from the legions, led the Empire. It was reunified under Aurelian (r. 270–275). To stabilize it, Diocletian set up two different imperial courts in the Greek East and Latin West in 286; Christians rose to positions of power in the 4th century following the Edict of Milan of 313. Shortly after, the Migration Period, involving large invasions by Germanic peoples and by the Huns of Attila, led to the decline of the Western Roman Empire. With the fall of Ravenna to the Germanic Herulians and the deposition of Romulus Augustus in AD 476 by Odoacer, the Western Roman Empire finally collapsed; the Eastern Roman emperor Zeno formally abolished it in AD 480. The Eastern Roman Empire survived for another millennium, until Constantinople fell in 1453 to the Ottoman Turks under Mehmed II.
Answer: * 98 - Rome reached it's greatest territorial expanse during the reign of Trajan
* 177 - Increasing trouble and decline began with the rain of Commodus
* 270 - Rome reunified under Aurelian after Gallic and Palmyrene Empires broke away
* 286 - Two imperial courts setup by Diocletian in the Greek East and Latin West
* 313 - Edict of Milan led to Christians rising to positions of power
* 476 - Deposition of Romulus Augustus by Odoacer following the fall of Ravenena to the Germanic Herulians
* 480 - Eastern Roman emperor Zeno formally abolished the Western Roman Empire
* 1453 - Eastern Roman Empire fell to the Ottoman Turks
Question: How would you categorize the following sports into two groups; baseball, archery, decathlon, hockey
Answer: One way of categorizing these sports is by whether they're team or individual competitions:

Team - baseball and hockey

Individual - archery and decathlon
Question: Give me a list of adjectives that describe the ideal friend.
Answer: A great friend would be trustworthy, honest, loyal, funny, humble, smart, empathetic, and beautiful.
Question: What are some of the best Easter Basket fillers for teenagers?
Answer: Some really good ideas to put in an Easter Basket for a teenager are things that are themed around spring, like umbrellas, a raincoat, seeds to plant, or spring season cosmetics for girls and spring colored clothing for boys. Sweets are always popular, with items like Peeps, chocolate Easter Bunnies and jelly beans being the most common. Other people like to include creative items, like small journals and colored pens and pencils. Don't forget that teens are still young at heart, and might enjoyed some colored sidewalk chalk or bubbles, too! Some practical items are things like water bottles, socks, and personal hygiene items.
Question: Give me a simpler way to tell someone that Layli and Majnun is Persian literature that borrows storytelling techniques from Varqeh and Golshah, Orwa wa Afra, Vameq and Ozra, Metiochus and Parthenope, and Vis and Ramin.
Answer: The Persian literary story Layli and Majnun is based on several other pieces of literature, such as Varqeh and Golshah, Orwa wa Afra, Vameq and Ozra, Metiochus and Parthenope, and Vis and Ramin.
Question: Given this paragraph about battles under Alexander the Great what battle occurred prior to the battle of Issus
Evidence: The Battle of Issus (also Issos) occurred in southern Anatolia, on 5 November 333 BC between the Hellenic League led by Alexander the Great and the Achaemenid Empire, led by Darius III. It was the second great battle of Alexander's conquest of Asia, and the first encounter between Darius III and Alexander the Great. The battle resulted in the Macedonian troops defeating the Persian forces.

After the Hellenic League soundly defeated the Persian satraps of Asia Minor (led by Greek mercenary Memnon of Rhodes) at the Battle of the Granicus, Darius took personal command of his army. He gathered reinforcements and proceeded to lead his men in a surprise march behind the Hellenic advance, in order to cut off their line of supply. Alexander was forced to countermarch, and the stage was set for the battle near the mouth of the Pinarus River and the town of Issus.
Answer: the Battle of the Granicus
Question: What programming language is the tool written in?
Evidence: LUWAK is implemented in pure JavaScript code, and it uses the LocalStorage of a web browser. A user does not have to install any packages except for a web browser. The only thing the user must do is to download the LUWAK software and put it in a local directory. We believe the cost of installing the tool will keep away a good amount of potential users. This philosophy follows our empirical feeling of the curse of installing required packages/libraries. Moreover, LUWAK does not need users to consider the usage and maintenance of these additional packages. That is why we are deeply committed to making LUWAK a pure client-side tool in the off-the-shelf style.
LUWAK is implemented in pure JavaScript code, and it uses the LocalStorage of a web browser.
Answer: The answers are shown as follows:
* JavaScript
Question: Does it  it seem like NeuroSED merely adopt NeuroMatch to compute SDE. Clarifications are needed?
Evidence: Both NEUROSED and NEUROMATCH use siamese GNNs. However, there are important differences in (1) their objectives, (2) training and (3) inference procedures and (4) theoretical characterization.
Answer: Both NeuroSED and NeuroMatch use siamese GNNs. The violation penalty is also present in both NeuroMatch and the SED version of NeuroSED. Nonetheless, there are important differences in (1) their objective, (2) how prediction is performed, (3) training procedure, and (4) theoretical characterization. We have summarized the differences in detail in Sec. 3.3.
Question: Identify which instrument is string or percussion: Den-den daiko, Luc huyen cam
Answer: Luc huyen cam is string, Den-den daiko is percussion.
Question: What are some of the most important attributes of spacecraft battery and how are these attributes realized?
Answer: Some of the most important attributes are reliability, low mass.  Reliability is often achieved through qualification testing, demonstrated performance in a flight environment and configuration management.  Mass can be minimized by using high-performance Li-ion batteries that are optimized for the anticipated use case and by right-sizing the battery to meet end of mission power requirements using calibrated battery life and performance models.
Question: Given this paragraph about Selena Gomez, where did her first name come from?
Evidence: Selena Marie Gomez was born on July 22, 1992, in Grand Prairie, Texas, to Ricardo Joel Gomez and Texas-born former stage actress Mandy Teefey. She was named after Tejano singer Selena Quintanilla, who died in 1995. Her father is of Mexican descent, while her mother, who was adopted, has Italian ancestry. Gomez's paternal grandparents emigrated to Texas from Monterrey in the 1970s. Of her heritage, Gomez has said she is "a proud third-generation American-Mexican" and "My family does have quinceañeras, and we go to the communion church. We do everything that's Catholic, but we don't really have anything traditional except go to the park and have barbecues on Sundays after church." Gomez was fluent in Spanish until age seven. Her parents divorced when she was five years old, and she remained with her mother. Gomez has two younger half-sisters and a younger stepbrother: Gracie Elliot Teefey, through Mandy and her second husband, Brian Teefey, and Victoria "Tori" and Marcus Gomez, through Ricardo and his second wife, Sara. She earned her high-school diploma through homeschooling in May 2010.
Answer: Selena Gomez was named after Selena Quintanilla, a Tejano singer.