DataHammer/scimrc huggingface dataset:
Question: How do this framework facilitate demographic inference from social media?
Evidence: We employ BIBREF73 's weighted lexicon of terms that uses the dataset of 75,394 Facebook users who shared their status, age and gender. The predictive power of this lexica was evaluated on Twitter, blog, and Facebook, showing promising results BIBREF73 . Utilizing these two weighted lexicon of terms, we are predicting the demographic information (age or gender) of INLINEFORM0 (denoted by INLINEFORM1 ) using following equation: INLINEFORM2
where INLINEFORM0 is the lexicon weight of the term, and INLINEFORM1 represents the frequency of the term in the user generated INLINEFORM2 , and INLINEFORM3 measures total word count in INLINEFORM4 . As our data is biased toward young people, we report age prediction performance for each age group separately (Table TABREF42 ). Moreover, to measure the average accuracy of this model, we build a balanced dataset (keeping all the users above 23 -416 users), and then randomly sampling the same number of users from the age ranges (11,19] and (19,23]. The average accuracy of this model is 0.63 for depressed users and 0.64 for control class. Table TABREF44 illustrates the performance of gender prediction for each class. The average accuracy is 0.82 on INLINEFORM5 ground-truth dataset.
We employ BIBREF73 's weighted lexicon of terms that uses the dataset of 75,394 Facebook users who shared their status, age and gender.
Utilizing these two weighted lexicon of terms, we are predicting the demographic information (age or gender) of INLINEFORM0 (denoted by INLINEFORM1 ) using following equation: INLINEFORM2

where INLINEFORM0 is the lexicon weight of the term, and INLINEFORM1 represents the frequency of the term in the user generated INLINEFORM2 , and INLINEFORM3 measures total word count in INLINEFORM4 .
Answer: Demographic information is predicted using weighted lexicon of terms.
Question: What is a credit card?
Answer: A credit card is small card made out of plastic with numbers, codes and customer data embossed on it issued by banks and credit card companies.  They enable people who have them to purchase goods and services using money that has been lended as credit to the person who has the credit card.  After purchases are made the credit card holder is responsible for a minimum monthly payment for the lended money that was spend to pay for goods.
Question: How many children did James S. Wall have?
Evidence: Wall was born on the Navajo Nation in Ganado, Arizona, to James and Joan (née Hamilton) Wall. His parents converted to Catholicism after coming into contact with two Franciscan friars. One of six children, he has three sisters and two brothers. Wall graduated from Chandler High School in Chandler, Arizona, in 1983 and attended Arizona State University, obtaining a bachelor's degree in history in 1993.
Answer: James S. Wall had six children.
Question: What are the citation intent labels in the datasets?
Evidence: FLOAT SELECTED: Table 2: Characteristics of SciCite compared with ACL-ARC dataset by Jurgens et al. (2018)
FLOAT SELECTED: Table 2: Characteristics of SciCite compared with ACL-ARC dataset by Jurgens et al. (2018)
Answer: Background, extends, uses, motivation, compare/contrast, and future work for the ACL-ARC dataset. Background, method, result comparison for the SciCite dataset.
Question: Which language(s) are found in the WSD datasets?
Evidence: While WSD is predominantly evaluated on English, we are also interested in evaluating our approach on Chinese, to evaluate the effectiveness of our approach in a different language. We use OntoNotes Release 5.0, which contains a number of annotations including word senses for Chinese. We follow the data setup of BIBREF26 and conduct an evaluation on four genres, i.e., broadcast conversation (BC), broadcast news (BN), magazine (MZ), and newswire (NW), as well as the concatenation of all genres. While the training and development datasets are divided into genres, we train on the concatenation of all genres and test on each individual genre.
While WSD is predominantly evaluated on English, we are also interested in evaluating our approach on Chinese, to evaluate the effectiveness of our approach in a different language.
Answer: The answers are shown as follows:
*  WSD is predominantly evaluated on English, we are also interested in evaluating our approach on Chinese
Question: Write some information in points on Kelvyn Park High School from the given passage.
Evidence: Kelvyn Park High School is a public 4–year high school located in the Hermosa neighborhood on north-west side of Chicago, Illinois, United States. Opened in 1933, Kelvyn Park is operated by the Chicago Public Schools (CPS) district. In addition to being a neighborhood high school, Kelvyn Park also serves as a middle school with seventh and eighth grades. Kelvyn Park attendance boundaries extends to the Logan Square, Cragin and Belmont Gardens neighborhoods.
Answer: 1. The Hermosa neighbourhood on the north-west side of Chicago, Illinois, in the United States, is home to the public 4-year Kelvyn Park High School.
2. Kelvyn Park, which was established in 1933, is run by the Chicago Public Schools (CPS) organisation.
3. Kelvyn Park not only functions as a neighbourhood high school, but also as a middle school housing the seventh and eighth classes.
4. The neighbourhoods of Logan Square, Cragin, and Belmont Gardens are included in the Kelvyn Park attendance boundaries.
Question: Why sport cricket is so famous?
Answer: Cricket is a very interesting and engaging sport which is celebrated vastly in many nations like India, Australia, England, South Africa etc. Because of the popularity of cricket, it attracts big sponsors and investments globally
Question: What do you think are the most relevant things in life?
Answer: That's a very complex question and depends on the individual and their circumstances. That said, it would be fair to assume that family, friends, and health will likely rank high for many people.
Question: What are the three largest ethnic groups in Kenya?
Evidence: Kenya has a diverse population that includes many of Africa's major ethnoracial and linguistic groups. Although there is no official list of Kenyan ethnic groups, the number of ethnic categories and sub-categories recorded in the country's census has changed significantly over time, expanding from 42 in 1969 to more than 120 in 2019. Most residents are Bantus (60%) or Nilotes (30%). Cushitic groups also form a small ethnic minority, as do Arabs, Indians, and Europeans.

According to the Kenya National Bureau of Statistics (KNBS), in 2019, Kenya had a total population of 47,564,296. The largest native ethnic groups were the Kikuyu (8,148,668), Luhya (6,823,842), Kalenjin (6,358,113), Luo (5,066,966), Kamba (4,663,910), Somali (2,780,502), Kisii (2,703,235), Mijikenda (2,488,691), Meru (1,975,869), Maasai (1,189,522), and Turkana (1,016,174). The North Eastern Province of Kenya, formerly known as NFD, is predominantly inhabited by the indigenous ethnic Somalis. Foreign-rooted populations include Arabs, Asians, and Europeans.
Answer: The largest ethnic groups in Kenya are the Kikuyu, Luhya, and Kalenjin.
Question: Name the novel for which Douglas Stuart won the Booker.
Answer: Shuggie Bain
Question: From the passage identify the places where Bacteria inhabits. Display the results in comma separated format.
Evidence: Bacteria (/bækˈtɪəriə/ (listen); singular: bacterium) are ubiquitous, mostly free-living organisms often consisting of one biological cell. They constitute a large domain of prokaryotic microorganisms. Typically a few micrometres in length, bacteria were among the first life forms to appear on Earth, and are present in most of its habitats. Bacteria inhabit soil, water, acidic hot springs, radioactive waste, and the deep biosphere of Earth's crust. Bacteria are vital in many stages of the nutrient cycle by recycling nutrients such as the fixation of nitrogen from the atmosphere. The nutrient cycle includes the decomposition of dead bodies; bacteria are responsible for the putrefaction stage in this process. In the biological communities surrounding hydrothermal vents and cold seeps, extremophile bacteria provide the nutrients needed to sustain life by converting dissolved compounds, such as hydrogen sulphide and methane, to energy. Bacteria also live in symbiotic and parasitic relationships with plants and animals. Most bacteria have not been characterised and there are many species that cannot be grown in the laboratory. The study of bacteria is known as bacteriology, a branch of microbiology.
Answer: soil, water, acidic hot springs, radioactive waste, deep biosphere of Earth's crust
Question: Who is the next coach at Fc Bayern München to take over from Julian Nagelsmann?
Evidence: Nagelsmann era (2021–2023)
Under new coach Julian Nagelsmann, Bayern have completed the feat of winning 10 consecutive Bundesliga titles following a 3–1 Der Klassiker win. However, the team unexpectedly lost to Villarreal in the Champions League quarter-finals, going out at that stage for the second year in a row. On 24 March 2023, Nagelsmann was released by Bayern and replaced by Thomas Tuchel, who received a contract until 30 June 2025.
Answer: Thomas Tuchel replaced Julian Nagelsmann in March 2023 and is now the new coach at FC Bayern Munich, and was previously the coach at Chelsea.
Question: How can I get people to like me?
Answer: It's important to remember that not everyone will like you in this world, no matter how great you are. So don't be discouraged if you find someone doesn't like you as much as you think they should. 

Here are some tips for getting people to like you:

- Ask them questions about themselves: People enjoy talking about themselves and if you ask them thoughtful questions they will see that you are a caring person who pays attention to them.
- Read social cues: It's important to be able to understand when someone is not interested in what you are talking about. If you find someone you're talking to is looking around the room and giving you short responses, you should try and steer the conversation in a different direction to see if you can engage them.
- Have a sense of humor: Laughing with other people is a great way to create bonds. You can try to be a little self-deprecating or just make innocent jokes about your situation. But be careful to not alienate people with humor if you don't know them well. Jokes about religion, politics, and other people might not go over well with some people.
Question: Write a children's story about a baby called Arthur who weighed three times the normal weight for a boy his age
Answer: Once upon a time in a country far far away there was a baby called Arthur who was born into a loving family. 

In many ways, this event was perfectly normal and wouldn't have attracted any special attention. 

However, there was one big difference with this baby, and when I say big I mean BIG! This little baby was not so little after all, in fact Arthur was three times the weight of a normal baby. 

Arthur was so heavy that his parents had to build a customised pram with a reinforced frame just to move him around. On top of this bathtime would take over one hour because they had to clean between all his rolls of fat.

Even though it could be harder to care for such a big baby Arthur's parents always felt so lucky and didn't mind the extra work they always said there was just more of him to love. 

The end
Question: What multimodal representations are used in the experiments?
Evidence: Evaluation of Representation Models ::: Experiments ::: Multimodal representation.
We combined textual and image representations in two simple ways. The first method is concatenation of the text and image representation (concat). Before concatenation we applied the L2 normalization to each of the modalities. The second method it to learn a common space for the two modalities before concatenation (project).
The projection of each modality learns a space of $d$-dimensions, so that $h_{1}, h_{2} \in \mathbb {R}^{d}$. Once the multimodal representation is produced ($h_{m}$) for the left and right pairs, vectors are directly plugged into the regression layers. Projections are learned end-to-end with the regression layers and the MSE as loss function.
Multimodal representation.
We combined textual and image representations in two simple ways. The first method is concatenation of the text and image representation (concat). Before concatenation we applied the L2 normalization to each of the modalities. The second method it to learn a common space for the two modalities before concatenation (project).

The projection of each modality learns a space of $d$-dimensions, so that $h_{1}, h_{2} \in \mathbb {R}^{d}$. Once the multimodal representation is produced ($h_{m}$) for the left and right pairs, vectors are directly plugged into the regression layers. Projections are learned end-to-end with the regression layers and the MSE as loss function.
Answer: The answers are shown as follows:
* The second method it to learn a common space for the two modalities before concatenation (project)
* The first method is concatenation of the text and image representation (concat)
Question: What is Dividend?
Answer: If a company has profits to share out, it can pay a dividend. The shareholders get so much
dividend for each share they own.
Question: Which social media platform is explored?
Evidence: In BIBREF8 a refined collection of tweets gathered from twitter is presented. Their dataset which is labeled for named entity recognition task contains 8,257 tweets. There are 12,784 entities in total in this dataset. Table TABREF19 shows statistics related to each named entity in training, development and test sets.
In BIBREF8 a refined collection of tweets gathered from twitter is presented. Their dataset which is labeled for named entity recognition task contains 8,257 tweets. There are 12,784 entities in total in this dataset. Table TABREF19 shows statistics related to each named entity in training, development and test sets.


Answer: The answers are shown as follows:
* twitter
Question: What are some top  things to do in Amsterdam?
Answer: 1) Museums! Book these ASAP: Van Gogh and Rijksmuseum, Anne Frank Huis
2) Book a canal tour or just grab one near Rijksmuseum. If you want something quieter and more adventurous, book an electric boat e.g. Mokumboot and go around the canals on your own.
3) Grab a coffee from Rumbaba and walk around Jordaan in the morning. Find a good pastry shop (there are several!) and get the sights while you walk.
4) Foodhallen ... expensive but cool place to get dinner
5) Artis Zoo. A super cool zoo, plus you get to walk around De Plantage
Question: Using examples from the text give me a rundown of the causes of wet snow avalanches.
Evidence: In contrast to powder snow avalanches, wet snow avalanches are a low velocity suspension of snow and water, with the flow confined to the track surface (McClung, first edition 1999, page 108). The low speed of travel is due to the friction between the sliding surface of the track and the water saturated flow. Despite the low speed of travel (≈10–40 km/h), wet snow avalanches are capable of generating powerful destructive forces, due to the large mass and density. The body of the flow of a wet snow avalanche can plough through soft snow, and can scour boulders, earth, trees, and other vegetation; leaving exposed and often scored ground in the avalanche track. Wet snow avalanches can be initiated from either loose snow releases, or slab releases, and only occur in snowpacks that are water saturated and isothermally equilibrated to the melting point of water. The isothermal characteristic of wet snow avalanches has led to the secondary term of isothermal slides found in the literature (for example in Daffern, 1999, page 93). At temperate latitudes wet snow avalanches are frequently associated with climatic avalanche cycles at the end of the winter season, when there is significant daytime warming.
Answer: Wet snow avalanches can be initiated from either loose snow releases, or slab releases, and only occur in snowpacks that are water saturated and isothermally equilibrated to the melting point of water.
Question: What is Cabernet Sauvignon?
Evidence: Cabernet Sauvignon (French: [kabɛʁnɛ soviɲɔ̃]) is one of the world's most widely recognized red wine grape varieties. It is grown in nearly every major wine producing country among a diverse spectrum of climates from Australia and British Columbia, Canada to Lebanon's Beqaa Valley. Cabernet Sauvignon became internationally recognized through its prominence in Bordeaux wines, where it is often blended with Merlot and Cabernet Franc. From France and Spain, the grape spread across Europe and to the New World where it found new homes in places like California's Santa Cruz Mountains, Paso Robles, Napa Valley, New Zealand's Hawke's Bay, South Africa's Stellenbosch region, Australia's Margaret River, McLaren Vale and Coonawarra regions, and Chile's Maipo Valley and Colchagua. For most of the 20th century, it was the world's most widely planted premium red wine grape until it was surpassed by Merlot in the 1990s. However, by 2015, Cabernet Sauvignon had once again become the most widely planted wine grape, with a total of 341,000 hectares (3,410 km2) under vine worldwide
Answer: Cabernet Sauvignon (French: [kabɛʁnɛ soviɲɔ̃]) is one of the world's most widely recognized red wine grape varieties.
Question: How is dialogue guided to avoid interactions that breach procedures and processes only known to experts?
Evidence: In this paper, we provide a brief survey of existing datasets and describe the CRWIZ framework for pairing crowdworkers and having half of them acting as Wizards by limiting their dialogue options only to relevant and plausible ones, at any one point in the interaction. We then perform a data collection and compare our dataset to a similar dataset collected in a more controlled lab setting with a single Wizard BIBREF4 and discuss the advantages/disadvantages of both approaches. Finally, we present future work. Our contributions are as follows:
Dialogue structure: we introduced structured dialogues through a Finite State Machine (FSM) that controls the current dialogue state and offers multiple suitable and relevant state transitions (actions) to the Wizard depending on the point in the interaction, the state of the world and the history. A graph of dialogue states, transitions and utterances is loaded when the system is initialised, and each chat room has its own dialogue state, which changes through actions.
In this paper, we provide a brief survey of existing datasets and describe the CRWIZ framework for pairing crowdworkers and having half of them acting as Wizards by limiting their dialogue options only to relevant and plausible ones, at any one point in the interaction
Dialogue structure: we introduced structured dialogues through a Finite State Machine (FSM) that controls the current dialogue state and offers multiple suitable and relevant state transitions (actions) to the Wizard depending on the point in the interaction, the state of the world and the history. A graph of dialogue states, transitions and utterances is loaded when the system is initialised, and each chat room has its own dialogue state, which changes through actions.
Answer: The answers are shown as follows:
* pairing crowdworkers and having half of them acting as Wizards by limiting their dialogue options only to relevant and plausible ones, at any one point in the interaction
Question: What programming language does Spark support?
Evidence: Apache Spark has built-in support for Scala, Java, SQL, R, and Python with 3rd party support for the .NET CLR, Julia and more.
Answer: Apache Spark has built-in support for Scala, Java, SQL, R, and Python. It also supports 3rd party programming language such as .NET CLR, Julia and more.
Question: How long did the Mughal empire last in India?
Evidence: The Mughal Empire was an early-modern empire that controlled much of Indian subcontinent between the 16th and 19th centuries. For some two hundred years, the empire stretched from the outer fringes of the Indus river basin in the west, northern Afghanistan in the northwest, and Kashmir in the north, to the highlands of present-day Assam and Bangladesh in the east, and the uplands of the Deccan Plateau in South India.It included present day areas of India, Pakistan, Afghanistan and Bangladesh.

The Mughal empire is conventionally said to have been founded in 1526 by Babur, a warrior chieftain from what is today Uzbekistan, who employed aid from the neighboring Safavid and Ottoman empires, to defeat the Sultan of Delhi, Ibrahim Lodi, in the First Battle of Panipat, and to sweep down the plains of North India. The Mughal imperial structure, however, is sometimes dated to 1600, to the rule of Babur's grandson, Akbar. This imperial structure lasted until 1720, shortly after the death of the last major emperor, Aurangzeb, during whose reign the empire also achieved its maximum geographical extent. Reduced subsequently to the region in and around Old Delhi by 1760, the empire was formally dissolved by the British Raj after the Indian Rebellion of 1857.

Although the Mughal empire was created and sustained by military warfare, it did not vigorously suppress the cultures and peoples it came to rule; rather it equalized and placated them through new administrative practices and diverse ruling elites, leading to more efficient, centralised, and standardized rule. The base of the empire's collective wealth was agricultural taxes, instituted by the third Mughal emperor, Akbar. These taxes, which amounted to well over half the output of a peasant cultivator, were paid in the well-regulated silver currency, and caused peasants and artisans to enter larger markets.

The relative peace maintained by the empire during much of the 17th century was a factor in India's economic expansion. The burgeoning European presence in the Indian Ocean, and its increasing demand for Indian raw and finished products, created still greater wealth in the Mughal courts. There was more conspicuous consumption among the Mughal elite, resulting in greater patronage of painting, literary forms, textiles, and architecture, especially during the reign of Shah Jahan. Among the Mughal UNESCO World Heritage Sites in South Asia are: Agra Fort, Fatehpur Sikri, Red Fort, Humayun's Tomb, Lahore Fort, Shalamar Gardens, and the Taj Mahal, which is described as "the jewel of Muslim art in India, and one of the universally admired masterpieces of the world's heritage."
Answer: The Mughal empire was founded by Babur in 1526 and was dissolved by the British in 1857, a span of 331 years.
Question: I would like to learn about data and ai. What would you recommend?
Answer: It depends how much you know today and how much you want to learn. the second aspect is for you to know how you learn best. you could register to a course at a university, you could find material online or you could connect to your personal network to find an expert who could help you take in all this new knowledge. In terms of knowledge blocks, you should understand about cloud, data source, data type, use case, data science, data management, orchestration, data quality, data mesh, data fabric and bi.
Question: What is the name of the meme crypto coin that Elon Musk made famous?
Answer: Elon Musk brought attention to the crypto currency Dogecoin by tweeting the word "One word: Doge". This brought the coin into meme status with its value starting at $0.0047 and skyrocketing to $0.7376 by May 2021.
Question: What NFL team was moved out of Ohio and became the Baltimore Ravens in 1996?
Answer: The owner of the Cleveland Browns, Art Modell, decided to relocate the team from Cleveland to Baltimore. However, a settlement decided that the titles, history, and colors would stay in Cleveland and the personnel and team were moved to Baltimore. Cleveland was without a football team from 1996 until replacements were established in 1999.