DataHammer/scimrc huggingface dataset:
Question: Does the emotion detection used in the paper need to be supervised?
Evidence: Since its rise in 2013, the Islamic State of Iraq and Syria (ISIS) has utilized the Internet to spread its ideology, radicalize individuals, and recruit them to their cause. In comparison to other Islamic extremist groups, ISIS' use of technology was more sophisticated, voluminous, and targeted. For example, during ISIS' advance toward Mosul, ISIS related accounts tweeted some 40,000 tweets in one day BIBREF0.However, this heavy engagement forced social media platforms to institute policies to prevent unchecked dissemination of terrorist propaganda to their users, forcing ISIS to adapt to other means to reach their target audience.
One such approach was the publication of online magazines in different languages including English. Although discontinued now, these online resources provided a window into ISIS ideology, recruitment, and how they wanted the world to perceive them. For example, after predominantly recruiting men, ISIS began to also include articles in their magazines that specifically addressed women. ISIS encouraged women to join the group by either traveling to the caliphate or by carrying out domestic attacks on behalf of ISIS in their respective countries. This tactical change concerned both practitioners and researchers in the counterterrorism community. New advancements in data science can shed light on exactly how the targeting of women in extremist propaganda works and whether it differs significantly from mainstream religious rhetoric.
We utilize natural language processing methods to answer three questions:
What are the main topics in women-related articles in ISIS' online magazines?
What similarities and/or differences do these topics have with non-violent, non-Islamic religious material addressed specifically to women?
What kind of emotions do these articles evoke in their readers and are there similarities in the emotions evoked from both ISIS and non-violent religious materials?
As these questions suggest, to understand what, if anything, makes extremist appeals distinctive, we need a point of comparison in terms of the outreach efforts to women from a mainstream, non-violent religious group. For this purpose, we rely on an online Catholic women's forum. Comparison between Catholic material and the content of ISIS' online magazines allows for novel insight into the distinctiveness of extremist rhetoric when targeted towards the female population. To accomplish this task, we employ topic modeling and an unsupervised emotion detection method.
The rest of the paper is organized as follows: in Section SECREF2, we review related works on ISIS propaganda and applications of natural language methods. Section SECREF3 describes data collection and pre-processing. Section SECREF4 describes in detail the approach. Section SECREF5 reports the results, and finally, Section SECREF6 presents the conclusion.
To accomplish this task, we employ topic modeling and an unsupervised emotion detection method.
Answer: No.
Question: What is considered as  Emma Edmondson's best work as an actress?
Evidence: Emma Edmondson (born 15 March 1984 in Rochdale, Greater Manchester) is a British television actress, best known for playing Mel Morton in Coronation Street. She joined the soap in March 2007. Prior to this she had a small role in the first series of BBC drama The Street. In 2008, it was announced that the Morton family had been axed from Coronation Street as part of a revamp by the new producer and they would no longer feature as of August.

Emma also appeared in the music video for Deadmau5's 2008/2009 hit single "I Remember". She appears in a club with red makeup around her eyes. The single peaked at number 14 on the UK Singles Chart in May 2009.
Answer: Emma Edmondson is known for a variety of roles that she played in British Television, she is most notably known for  playing Mel Morton in Coronation Street
Question: Hepatitis B and C can cause what type of cancer?
Evidence: Higher rates of liver cancer occur where hepatitis B and C are common, including Asia and sub-Saharan Africa. Males are more often affected with hepatocellular carcinoma (HCC) than females. Diagnosis is most frequent among those 55 to 65 years old.
Answer: Liver cancer (also known as hepatic cancer, primary hepatic cancer, or primary hepatic malignancy) is cancer that starts in the liver. Liver cancer can be primary (starts in liver) or secondary (meaning cancer which has spread from elsewhere to the liver, known as liver metastasis). Liver metastasis is more common than that which starts in the liver. Liver cancer is increasing globally.

Primary liver cancer is globally the sixth-most frequent cancer and the fourth-leading cause of death from cancer. In 2018, it occurred in 841,000 people and resulted in 782,000 deaths globally. Higher rates of liver cancer occur where hepatitis B and C are common, including Asia and sub-Saharan Africa. Males are more often affected with hepatocellular carcinoma (HCC) than females. Diagnosis is most frequent among those 55 to 65 years old.

The leading cause of liver cancer is cirrhosis due to hepatitis B, hepatitis C or alcohol. Other causes include aflatoxin, non-alcoholic fatty liver disease and liver flukes. The most common types are HCC, which makes up 80% of cases and intrahepatic cholangiocarcinoma. The diagnosis may be supported by blood tests and medical imaging, with confirmation by tissue biopsy.

Given that there are many different causes of liver cancer, there are many approaches to liver cancer prevention. These efforts include immunization against hepatitis B, hepatitis B treatment, hepatitis C treatment, decreasing alcohol use, decreasing exposure to aflatoxin in agriculture, and management of obesity and diabetes. Screening is recommended in those with chronic liver disease. For example, it is recommended that people with chronic liver disease who are at risk for hepatocellular carcinoma be screened every 6 months using ultrasound imaging.

Because liver cancer is an umbrella term for many types of cancer, the signs and symptoms depend on what type of cancer is present. Symptoms can be vague and broad. Cholangiocarcinoma is associated with sweating, jaundice, abdominal pain, weight loss and liver enlargement. Hepatocellular carcinoma is associated with abdominal mass, abdominal pain, emesis, anemia, back pain, jaundice, itching, weight loss and fever.

Treatment options may include surgery, targeted therapy and radiation therapy. In certain cases, ablation therapy, embolization therapy or liver transplantation may be used.
Question: How much sleep should I get per night?
Answer: Adults 18+ should get at least 7 hours of sleep per night. This level of rest is proven to have a positive effect on productivity at work, happiness, and health. It also leads to better recovery for active individuals. Some tips to improve sleep quality include limiting screen time in bed, drinking water and not eating prior to bed, and aiming for 65 degrees Fahrenheit
Question: Which river can you hike in Utah?
Evidence: Hiking The Narrows is arguably the quintessential Zion experience. The Narrows can be hiked either as a top-down through-hike from Chamberlain Ranch to the Temple of Sinawava, or as an up-and-back bottom-up hike from the Temple of Sinawava. Hiking is done largely in the river as, for a third of the route, the river runs canyon wall to canyon wall. Water levels change from season to season; most hikers will wade at least waist-deep and many will swim a few short sections. 

The Narrows is the narrowest section of Zion Canyon in Zion National Park, Utah, United States.
Answer: The Narrows at Zion National Park
Question: What is the difference between ADLS Gen 1 and 2?
Answer: Azure Data Lake Storage Gen1 implements an access control model that derives from HDFS, which in turn derives from the POSIX access control model. Azure Data Lake Storage Gen2 implements an access control model that supports both Azure role-based access control (Azure RBAC) and POSIX-like access control lists (ACLs).
Question: What are the 5 largest cities in the world by population? In this format "Country|Capital|Population" and include the header
Answer: Country|Capital|Population
China|Beijing|21,542,000
Japan|Tokyo|13,921,000
DR Congo|Kinshasa|12,691,000
Russia|Moscow|12,655,050
Indonesia|Jakarta|10,562,088
Question: What is Special Agent Fox Mulder's FBI identification number?
Answer: 2219-526
Question: From the passage provided, extract the entities which bestowed an award on Jensen Huang.
Evidence: In 1999, Jensen Huang was named Entrepreneur of the Year in High Technology by Ernst & Young.[citation needed] In 2003, Huang received the Dr. Morris Chang Exemplary Leadership Award, which recognizes a leader who has made exceptional contributions to driving the development, innovation, growth, and long-term opportunities of the fabless semiconductor industry, from the Fabless Semiconductor Association. He was also a National Finalist for the EY Entrepreneur of the Year Award in 2003 and was an Award Recipient for the Northern California region in 1999.[citation needed]

Additionally, Huang is a recipient of the Daniel J. Epstein Engineering Management Award from the University of Southern California and was named an Alumni Fellow by Oregon State University. Huang was awarded an honorary doctorate from Oregon State University at the June 13, 2009, commencement ceremony.

In 2018, Huang was listed in the inaugural Edge 50, naming the world's top 50 influencers in edge computing. In October 2019, Harvard Business Review named Jensen Huang best-performing CEO in the world. In November 2020, Jensen Huang was named "Supplier CEO of the year" by Eurostars AutomotiveNewsEurope. Huang was awarded an honorary doctorate from National Taiwan University at the school anniversary in November, 2020.[better source needed] In August 2021, the Semiconductor Industry Association (SIA) announced that Jensen Huang is the 2021 recipient of the industry’s highest honor, the Robert N. Noyce Award. In September 2021, he was included in the Time 100, Time's annual list of the 100 most influential people in the world.
Answer: Jensen Huang received awards from: 1) Ernst & Young, 2) Fabless Semiconductor Association, 3) EY (Ernst & Young), 4) University of Southern California, 5) Oregon State University, 6) Harvard Business Review, 7) Eurostars AutomotiveNewsEurope, 8) National Taiwan University, 9) Semiconductor Industry Association, 10) Time magazine.
Question: Where were the Declaration of Independence, the Constitution, and the Bill of Rights stored during World War II?
Answer: Fort Knox.
Question: What is Dharma Sabha
Evidence: Dharma Sabha was formed in 1830 in Calcutta by Radhakanta Deb. The organization was established mainly to counter the ongoing social reform movements led by protagonists such as Raja Ram Mohun Roy and Henry Derozio. More specifically, the impetus of forming the organization came from a new law enacted by the colonial British rule which banned the barbaric practice of burning widows alive (sati) in the country; the focus of the new association was to repel the law which was seen as an intrusion by the British into the religious affairs of the indigenous people by some sections of the Hindu community. The Dharma Sabha filed an appeal in the Privy Council against the ban on Sati by Lord William Bentinck as, according to them, it went against the assurance given by George III of non-interference in Hindu religious affairs; however, their appeal was rejected and the ban on Sati was upheld in 1832. It published a newspaper called Samachar Chandrika.

The Dharma Sabha campaigned against the Hindu Widow Remarriage Act, 1856 and submitted a petition against the proposal with nearly four times more signatures than the one submitted for it by Ishwar Chandra Vidyasagar. However  Lord Dalhousie personally finalized the bill despite the opposition and it being considered a flagrant breach of Hindu customs as prevalent then, and it was passed by Lord Canning.

The organization soon morphed into a 'society in defense of Hindu way of life or culture'.[
Answer: The Dharma Sabha was formed in 1830 in Calcutta by Radhakanta Deb to counter the ongoing social reform movements led by protagonists such as Raja Ram Mohun Roy and Henry Derozio. The organization was established to repel a new law enacted by British colonial rule, which banned the barbaric practice of burning widows alive (sati) in the country. The Dharma Sabha filed an appeal in the Privy Council against the ban on Sati by Lord William Bentinck, but their request was rejected, and the ban on Sati was upheld in 1832. It published a newspaper called Samachar Chandrika.
Question: What are Bengali famous food ?
Answer: 1. Hilsha shorshe
2, Shorshe posto jhinge alu
3. Fish curry
4. Kolkata / kacchi / Dhakai Biriyani
Question: What are the two factors that have never been considered previously in a deep learning model for text stance classification?
Evidence: In recent years neural network models have been applied to document sentiment classification BIBREF13 , BIBREF4 , BIBREF14 , BIBREF15 , BIBREF2 . Text features can be used in deep networks to capture text semantics or sentiment. For example, Dong et al. use an adaptive layer in a recursive neural network for target-dependent Twitter sentiment analysis, where targets are topics such as windows 7 or taylor swift BIBREF16 , BIBREF17 ; recursive neural tensor networks (RNTNs) utilize sentence parse trees to capture sentence-level sentiment for movie reviews BIBREF4 ; Le and Mikolov predict sentiment by using paragraph vectors to model each paragraph as a continuous representation BIBREF18 . They show that performance can thus be improved by more delicate text models.
Others have suggested using extra-linguistic features to improve the deep learning model. The user-word composition vector model (UWCVM) BIBREF19 is inspired by the possibility that the strength of sentiment words is user-specific; to capture this they add user embeddings in their model. In UPNN, a later extension, they further add a product-word composition as product embeddings, arguing that products can also show different tendencies of being rated or reviewed BIBREF20 . Their addition of user information yielded 2–10% improvements in accuracy as compared to the above-mentioned RNTN and paragraph vector methods. We also seek to inject user information into the neural network model. In comparison to the research of Tang et al. on sentiment classification for product reviews, the difference is two-fold. First, we take into account multiple users (one author and potentially many likers) for one post, whereas only one user (the reviewer) is involved in a review. Second, we add comment information to provide more features for post stance classification. None of these two factors have been considered previously in a deep learning model for text stance classification. Therefore, we propose UTCNN, which generates and utilizes user embeddings for all users — even for those who have not authored any posts — and incorporates comments to further improve performance.
In comparison to the research of Tang et al. on sentiment classification for product reviews, the difference is two-fold. First, we take into account multiple users (one author and potentially many likers) for one post, whereas only one user (the reviewer) is involved in a review. Second, we add comment information to provide more features for post stance classification. None of these two factors have been considered previously in a deep learning model for text stance classification.
Answer: Multiple users are considered and comment information is added.
Question: What is the difference between a stand up paddle board and a kayak?
Answer: Stand up paddle boards and kayaks are both non-motorized water crafts. Typically a kayak is either sit on top or sit in water craft, the user paddles through the water from a seated position. Most kayaks are made from polyethylene but some kayaks are made from kevlar or fiberglass, there are also inflatable kayaks.  A stand up paddle board typically allows the user to paddle while standing up but they can also paddle while sitting if desired. Stand up paddle boards come in a variety of materials, hard paddleboards are made of fiberglass that is wrapped around a foam core, or polyethylene, inflatable paddleboards are made of stitching together pvc.
Question: Tell me about the new premier of New South Wales
Evidence: Christopher John Minns (born 17 September 1979) is an Australian politician serving as the 47th and current premier of New South Wales since March 2023. He has been the leader of the New South Wales branch of the Australian Labor Party (ALP) since June 2021 and a member of the New South Wales Legislative Assembly (MLA) for the division of Kogarah since 2015. He was previously the deputy mayor of Hurstville from 2007 to 2008.
Minns was first elected at the 2015 New South Wales state election, and was elected unopposed as leader of the Labor Party in leadership election in June 2021, following the resignation of Jodi McKay. He led the party to victory at the 2023 state election.
The son of a school principal, Minns was raised in the St George region of Sydney in the suburb of Penshurst. He studied at Marist College Kogarah. He holds a bachelors degree from the University of New England in Armidale and attended Princeton University in the United States where he was awarded a Masters in Public Policy (2012–13).
Minns is married and has three sons with his wife Anna. Upon his return from Princeton, while his wife pursued her own business opportunities, Minns became the carer of his sons before nominating for parliament.
He joined the Australian Labor Party in 1998 when he was 18 years old and was elected as the member for Kogarah in 2015.
Minns is a supporter of NRL club the St George Illawarra Dragons.
Answer: Chris Minns led the Labor party to victory at the 2023 NSW state election and becomes the 47th premier of New South Wales.  Minns is married with three sons and is a supporter of the NRL club, St George Illawarra Dragons.
Question: What is a demand plan?
Answer: Demand planning is done with a customer.  It is a planning process that lets sales and other teams develop forecasts around demand or future usage.  It helps with service planning, outage planning, planning for future revenue, and planning for future consumption.  It can also drive product roadmap development and deliverables.
Question: What is Visual Studio Code?
Answer: Visual Studio Code is a free code editor redefined and optimized for building and debugging modern web and cloud applications.
Question: What are good Virtual Reality concepts?
Answer: Time travel, educational training, deceased consciousness simulation, planet exploration
Question: Do they literally just treat this as "predict the next spell that appears in the text"?
Evidence: This paper explores instead a new task: action prediction from natural language descriptions of scenes. The challenge is addressed as follows: given a natural language input sequence describing the scene, such as a piece of a story coming from a transcript, the goal is to infer which action is most likely to happen next.
The challenge is addressed as follows: given a natural language input sequence describing the scene, such as a piece of a story coming from a transcript, the goal is to infer which action is most likely to happen next.
Answer: Yes.
Question: Why is it important to hug your child?
Answer: Hugs can help your child grow a healthy brain and body.
Infants, toddlers, and preschoolers need many different types of sensory stimulation for development. Skin contact or physical touch, like hugging and holding, are great ways to help your child grow a healthy brain and a strong body.
Question: Identify which animal species is alive or extinct: Vegavis, Continental Tiger
Answer: Continental Tiger is alive, Vegavis is extinct.
Question: How do they obtain distant supervision rules for predicting relations?
Evidence: Phase 2: In order to predict the relationship between an event and the creation time of its parent document, we assign a DocRelTime random variable to every Timex3 and Event mention. For Events, these values are provided by the training data, for Timex3s we have to compute class labels. Around 42% of Timex3 mentions are simple dates (“12/29/08", “October 16", etc.) and can be naively canonicalized to a universal timestamp. This is done using regular expressions to identify common date patterns and heuristics to deal with incomplete dates. The missing year in “October 16", for example, can be filled in using the nearest preceding date mention; if that isn't available we use the document creation year. These mentions are then assigned a class using the parent document's DocTime value and any revision timestamps. Other Timex3 mentions are more ambiguous so we use a distant supervision approach. Phrases like “currently" and “today's" tend to occur near Events that overlap the current document creation time, while “ago" or “ INLINEFORM0 -years" indicate past events. These dominant temporal associations can be learned from training data and then used to label Timex3s. Finally, we define a logistic regression rule to predict entity DocRelTime values as well as specify a linear skip-chain factor over Event mentions and their nearest Timex3 neighbor, encoding the baseline system heuristic directly as an inference rule.
Other Timex3 mentions are more ambiguous so we use a distant supervision approach. Phrases like “currently" and “today's" tend to occur near Events that overlap the current document creation time, while “ago" or “ INLINEFORM0 -years" indicate past events. These dominant temporal associations can be learned from training data and then used to label Timex3s. Finally, we define a logistic regression rule to predict entity DocRelTime values as well as specify a linear skip-chain factor over Event mentions and their nearest Timex3 neighbor, encoding the baseline system heuristic directly as an inference rule.
Answer: The answers are shown as follows:
* dominant temporal associations can be learned from training data
Question: How should I plan my week as a working mom ?
Answer: As a working mom you are juggling between your professional commitments, with your personal passion projects, running the house with daily activities like grocery shopping and meal preparation and if you have school going kids you have lessons to teach too. You and your partner are a team and know that he/she should be contributing too. You can do this buy planning out which activities your partner owns, shares and which ones you will have to handle. In addition having some clear activities or goals/tasks that you want to acheive will help you to handle few important things and few long term activities one week at a time.