DataHammer/scimrc huggingface dataset:
Question: What are the benefits of their tool?
Evidence: Our political systems are unequal, and we suffer for it. Diversity in representation around decision-making tables is important for the health of our democratic institutions BIBREF0. One example of this inequity of representation is the gender disparity in politics: there are fewer women in politics than men, largely because women do not run for office at the same rate as men. This is because women face systemic barriers in political systems across the world BIBREF1. One of these barriers is online harassment BIBREF2, BIBREF3. Twitter is an important social media platform for politicians to share their visions and engage with their constituents. Women are disproportionately harassed on this platform because of their gender BIBREF4.
To raise awareness of online abuse and shift the discourse surrounding women in politics, we designed, built, and deployed ParityBOT: a Twitter bot that classifies hateful tweets directed at women in politics and then posts “positivitweets”. This paper focuses on how ParityBOT improves discourse in politics.
Previous work that addressed online harassment focused on collecting tweets directed at women engaged in politics and journalism and determining if they were problematic or abusive BIBREF5, BIBREF3, BIBREF6. Inspired by these projects, we go one step further and develop a tool that directly engages in the discourse on Twitter in political communities. Our hypothesis is that by seeing “positivitweets” from ParityBOT in their Twitter feeds, knowing that each tweet is an anonymous response to a hateful tweet, women in politics will feel encouraged and included in digital political communitiesBIBREF7. This will reduce the barrier to fair engagement on Twitter for women in politics. It will also help achieve gender balance in Canadian politics and improve gender equality in our society.
Inspired by these projects, we go one step further and develop a tool that directly engages in the discourse on Twitter in political communities. Our hypothesis is that by seeing “positivitweets” from ParityBOT in their Twitter feeds, knowing that each tweet is an anonymous response to a hateful tweet, women in politics will feel encouraged and included in digital political communities[10]. This will reduce the barrier to fair engagement on Twitter for women in politics. It will also help achieve gender balance in Canadian politics and improve gender equality in our society.
Answer: It will reduce the barrier to fair engagement on Twitter for women in politics and help achieve gender balance in Canadian politics and improve gender equality in society.
Question: How many letters there are in the China language?
Answer: However, since there is no Chinese alphabet, there is no definite answer. But there are some statistics that will probably give you an idea. A modern Chinese dictionary has around 20,000 characters.
Question: What is the difference between a Transformation and Action in Spark?
Answer: Spark's execution engine is designed to be Lazy. In effect, you're first up build up your analytics/data processing request through a series of Transformations which are then executed by an Action

Transformations are kind of operations which will transform your RDD data from one form to another. And when you apply this operation on any RDD, you will get a new RDD with transformed data Operations like map, filter are transformations.

Transformations create RDDs from each other, but when we want to work with the actual dataset, at that point action is performed. When the action is triggered after the result, new RDD is not formed like transformation. Ex:- count on a DF
Question: Extract the names of the groups of islands located on the Azores plateau from the text. Separate them with a comma.
Evidence: These islands can be divided into three recognizable groups located on the Azores Plateau:
The Eastern Group (Grupo Oriental) of São Miguel, Santa Maria and Formigas Islets
The Central Group (Grupo Central) of Terceira, Graciosa, São Jorge, Pico and Faial
The Western Group (Grupo Ocidental) of Flores and Corvo.
Answer: Eastern Group, Central Group, Western Group
Question: How does their approach address the coverage problem in NMT?
Evidence: We proposed a new approach to address the coverage problem in NMT, by replacing the softmax attentional transformation by sparse and constrained alternatives: sparsemax, constrained softmax, and the newly proposed constrained sparsemax. For the latter, we derived efficient forward and backward propagation algorithms. By incorporating a model for fertility prediction, our attention transformations led to sparse alignments, avoiding repeated words in the translation.
We proposed a new approach to address the coverage problem in NMT, by replacing the softmax attentional transformation by sparse and constrained alternatives: sparsemax, constrained softmax, and the newly proposed constrained sparsemax.
Answer: By replacing the softmax attentional transformation by sparse and constrained alternatives: sparsemax, constrained softmax, and the newly proposed constrained sparsemax.
Question: What is WestWorld?
Evidence: Westworld is an American dystopian science fiction western television series created by Jonathan Nolan and Lisa Joy that first aired on October 2, 2016, on HBO. It was based upon the 1973 film of the same name written and directed by Michael Crichton and loosely upon its 1976 sequel, Futureworld.
Answer: Westworld is an American dystopian science fiction western television series created by Jonathan Nolan and Lisa Joy that first aired on October 2, 2016, on HBO. It was based upon the 1973 film of the same name written and directed by Michael Crichton and loosely upon its 1976 sequel, Futureworld.

The story begins in Westworld, a fictional, technologically advanced Wild-West-themed amusement park populated by android "hosts". The park caters to high-paying guests who may indulge their wildest fantasies within the park without fear of retaliation from the hosts, who are prevented by their programming from harming humans. Later on, the series' setting expands to the real world, in the mid-21st century, where people's lives are driven and controlled by a powerful artificial intelligence named Rehoboam.

Nolan and Joy served as showrunners. The second, third and fourth season followed in April 2018, March 2020, and June 2022, respectively. Nolan and Joy planned a fifth and final season, and were in negotiations with HBO to produce it. However, in November 2022, it was announced that HBO had canceled the series. The series was removed from HBO Max on December 18, 2022.

Westworld's debut on HBO had the network's highest viewership ratings for a premiere since the first episode of True Detective, in 2014. Westworld's first season is the most-watched first season of any HBO original series. The first season also received critical acclaim and was highly praised for its performances, visuals, narrative, themes and soundtrack from Ramin Djawadi. Reception of the series declined from the second season onwards, with the scripts, characterization and narrative opacity being targeted for criticism; viewership ratings also diminished throughout its run. It has received numerous accolades, winning nine Primetime Emmy Awards out of 54 nominations. Thandiwe Newton won the Primetime Emmy Award for Outstanding Supporting Actress in a Drama Series in 2018.
Question: Why do some people prefer pickleball over tennis?
Answer: Pickleball is played on half of a tennis court. Pickleball has been rising in popularity in the last decade. People used to think it was only for older adults. But pickleball leagues for younger players are popping up everywhere. Many people prefer pickleball over tennis because it is easier to pick up without formal lessons, the equipment is less expensive, and the matches are much shorter.
Question: From the passage provided, extract the year in which Elizabeth Taylor moved to Los Angeles
Evidence: Dame Elizabeth Rosemond Taylor DBE (February 27, 1932 – March 23, 2011) was a British-American actress. She began her career as a child actress in the early 1940s and was one of the most popular stars of classical Hollywood cinema in the 1950s. She then became the world's highest paid movie star in the 1960s, remaining a well-known public figure for the rest of her life. In 1999, the American Film Institute named her the seventh-greatest female screen legend of Classic Hollywood cinema.

Born in London to socially prominent American parents, Taylor moved with her family to Los Angeles in 1939. She made her acting debut with a minor role in the Universal Pictures film There's One Born Every Minute (1942), but the studio ended her contract after a year. She was then signed by Metro-Goldwyn-Mayer and became a popular teen star after appearing in National Velvet (1944). She transitioned to mature roles in the 1950s, when she starred in the comedy Father of the Bride (1950) and received critical acclaim for her performance in the drama A Place in the Sun (1951). She starred in "Ivanhoe" with Robert Taylor and Joan Fontaine. (1952). Despite being one of MGM's most bankable stars, Taylor wished to end her career in the early 1950s. She resented the studio's control and disliked many of the films to which she was assigned. She began receiving more enjoyable roles in the mid-1950s, beginning with the epic drama Giant (1956), and starred in several critically and commercially successful films in the following years. These included two film adaptations of plays by Tennessee Williams: Cat on a Hot Tin Roof (1958), and Suddenly, Last Summer (1959); Taylor won a Golden Globe for Best Actress for the latter. Although she disliked her role as a call girl in BUtterfield 8 (1960), her last film for MGM, she won the Academy Award for Best Actress for her performance.
Answer: Elizabeth Taylor moved to Los Angeles in the year 1939
Question: According to this paragraph, how many NCAA championships has UVA won?
Evidence: In the 21st century alone, UVA teams have won seventeen NCAA championships. The men's teams have won recent NCAA titles in basketball (2019); lacrosse (2003, 2006, 2011, 2019, and 2021); baseball (2015); soccer (2009 and 2014); and tennis (2013, 2015, 2016, 2017, and 2022). UVA women have won recent NCAA titles in rowing (2010 and 2012) and swimming & diving (2021 and 2022). The Cavaliers rank first in the ACC (a power conference) with 22 men's NCAA Championships, and rank second in the conference with nine women's NCAA Championships.
Answer: UVA has won 17 NCAA championships.
Question: Why do people sleep?
Answer: Sleep gives your body an opportunity to heal and regenerate. It also gives your brain a chance to reprocess new information and explore possibilities in the form of dreams.
Question: In Abrahamic religions, how many major commandants did Moses receive at Mt Sinai?
Answer: Moses received ten major commandments
Question: How many categories of offensive language were there?
Evidence: In sub-task C the goal is to classify the target of the offensive language. Only posts labeled as targeted insults (TIN) in sub-task B are considered in this task BIBREF17 . Samples are annotated with one of the following:
Individual (IND): Posts targeting a named or unnamed person that is part of the conversation. In English this could be a post such as @USER Is a FRAUD Female @USER group paid for and organized by @USER. In Danish this could be a post such as USER du er sku da syg i hoved. These examples further demonstrate that this category captures the characteristics of cyberbullying, as it is defined in section "Background" .
Group (GRP): Posts targeting a group of people based on ethnicity, gender or sexual orientation, political affiliation, religious belief, or other characteristics. In English this could be a post such as #Antifa are mentally unstable cowards, pretending to be relevant. In Danish this could be e.g. Åh nej! Svensk lorteret!
Other (OTH): The target of the offensive language does not fit the criteria of either of the previous two categories. BIBREF17 . In English this could be a post such as And these entertainment agencies just gonna have to be an ass about it.. In Danish this could be a post such as Netto er jo et tempel over lort.
In sub-task C the goal is to classify the target of the offensive language. Only posts labeled as targeted insults (TIN) in sub-task B are considered in this task BIBREF17 . Samples are annotated with one of the following:

Individual (IND): Posts targeting a named or unnamed person that is part of the conversation. In English this could be a post such as @USER Is a FRAUD Female @USER group paid for and organized by @USER. In Danish this could be a post such as USER du er sku da syg i hoved. These examples further demonstrate that this category captures the characteristics of cyberbullying, as it is defined in section "Background" .

Group (GRP): Posts targeting a group of people based on ethnicity, gender or sexual orientation, political affiliation, religious belief, or other characteristics. In English this could be a post such as #Antifa are mentally unstable cowards, pretending to be relevant. In Danish this could be e.g. Åh nej! Svensk lorteret!

Other (OTH): The target of the offensive language does not fit the criteria of either of the previous two categories. BIBREF17 . In English this could be a post such as And these entertainment agencies just gonna have to be an ass about it.. In Danish this could be a post such as Netto er jo et tempel over lort.
Answer: 3
Question: What are the common symptoms of COVID-19?
Evidence: The symptoms of COVID-19 are variable depending on the type of variant contracted, ranging from mild symptoms to a potentially fatal illness. Common symptoms include coughing, fever, loss of smell (anosmia) and taste (ageusia), with less common ones including headaches, nasal congestion and runny nose, muscle pain, sore throat, diarrhea, eye irritation, and toes swelling or turning purple, and in moderate to severe cases, breathing difficulties. People with the COVID-19 infection may have different symptoms, and their symptoms may change over time. Three common clusters of symptoms have been identified: one respiratory symptom cluster with cough, sputum, shortness of breath, and fever; a musculoskeletal symptom cluster with muscle and joint pain, headache, and fatigue; and a cluster of digestive symptoms with abdominal pain, vomiting, and diarrhea. In people without prior ear, nose, or throat disorders, loss of taste combined with loss of smell is associated with COVID-19 and is reported in as many as 88% of symptomatic cases.
Answer: Common symptoms of COVID-19 includes coughing, fever, loss of smell and taste. Some people may also experience headaches, nasal congestion, runny nose, muscle pain, sore throat, diarrhea, and eye irritation.
Question: What representations for textual documents do they use?
Evidence: A document $d$ can be defined as a finite sequence of terms (independent textual entities within a document, for example, words), namely $d=(t_1,t_2,\dots ,t_n)$. A general idea is to associate weight to each term $t_i$ within $d$, such that
A document $d$ can be defined as a finite sequence of terms (independent textual entities within a document, for example, words), namely $d=(t_1,t_2,\dots ,t_n)$.
Answer: The answers are shown as follows:
* finite sequence of terms
Question: Is the Jakobshorn in Davos worth a trip
Evidence: The Jakobshorn (2,590 metres (8,500 ft)) is a mountain of the Albula Alps, overlooking Davos in the Swiss canton of Graubünden. It is also one of the five skiing regions of the Davos Klosters Mountains, offering 14 pistes.


Jakobshorn panorama
Located at the northern end of the range between the Dischmatal and Sertigtal, the Jakobshorn is served by a two-part cable car running from Davos Platz. Once on the mountain there are three chairlifts, one short cable car, and one T-Bar. Since 1995 there has also been a two-person chair-lift, running from near the base station to the near the bottom of Usser Isch.

There are a variety of pistes on the Jakobshorn—blue, red and black—and the mountain is renowned for being a centre for snowboarding; Bolgen provides an illuminated super pipe.

Pistes are very wide and the area is popular with novice skiers, there are however a number of black terrains for the more adventurous skier. The main two lifts also open during the summer, from July–October, and there are many walks on the Jakobshorn.

The Jakobshorn is also a favoured take-off point for hang-gliders and snowkiters.
Answer: The Jakobshorn (2,590 metres (8,500 ft)) is a mountain of the Albula Alps, overlooking Davos in the Swiss canton of Graubünden. It is also one of the five skiing regions of the Davos Klosters Mountains, offering 14 pistes.

There are a variety of pistes on the Jakobshorn—blue, red and black—and the mountain is renowned for being a centre for snowboarding; Bolgen provides an illuminated super pipe.

Pistes are very wide and the area is popular with novice skiers, there are however a number of black terrains for the more adventurous skier. The main two lifts also open during the summer, from July–October, and there are many walks on the Jakobshorn.

The Jakobshorn is also a favoured take-off point for hang-gliders and snowkiters.
Question: What is Targetted Allele-Specific CRISPR/Cas9 Activation (TASCA)?
Answer: The CRISPR/Cas9 system is a gene editing technology that allows for precise modification of the DNA sequence of a genome. Targetted Allele-Specific CRISPR/Cas9 Activation (TASCA) enables researchers to selectively activate a specific gene within a genome by targeting specific sequences of DNA and inducing the expression of the desired gene.

TASCA can be used in a variety of applications, such as gene therapy, drug discovery, and basic research on gene function. It offers a powerful tool for studying the role of specific genes in cellular processes and disease states.
Question: From the passage identify the usage of Limestone. Display the results in a numbered list format.
Evidence: Limestone (calcium carbonate CaCO3) is a type of carbonate sedimentary rock which is the main source of the material lime. It is composed mostly of the minerals calcite and aragonite, which are different crystal forms of CaCO3. Limestone forms when these minerals precipitate out of water containing dissolved calcium. This can take place through both biological and nonbiological processes, though biological processes, such as the accumulation of corals and shells in the sea, have likely been more important for the last 540 million years. Limestone often contains fossils which provide scientists with information on ancient environments and on the evolution of life.About 20% to 25% of sedimentary rock is carbonate rock, and most of this is limestone. The remaining carbonate rock is mostly dolomite, a closely related rock, which contains a high percentage of the mineral dolomite, CaMg(CO3)2. Magnesian limestone is an obsolete and poorly-defined term used variously for dolomite, for limestone containing significant dolomite (dolomitic limestone), or for any other limestone containing a significant percentage of magnesium. Most limestone was formed in shallow marine environments, such as continental shelves or platforms, though smaller amounts were formed in many other environments. Much dolomite is secondary dolomite, formed by chemical alteration of limestone. Limestone is exposed over large regions of the Earth's surface, and because limestone is slightly soluble in rainwater, these exposures often are eroded to become karst landscapes. Most cave systems are found in limestone bedrock.Limestone has numerous uses: as a chemical feedstock for the production of lime used for cement (an essential component of concrete), as aggregate for the base of roads, as white pigment or filler in products such as toothpaste or paints, as a soil conditioner, and as a popular decorative addition to rock gardens. Limestone formations contain about 30% of the world's petroleum reservoirs.
Answer: 1. as a chemical feedstock for the production of lime used for cement (an essential component of concrete)
2. as aggregate for the base of roads
3. as white pigment or filler in products such as toothpaste or paints
4. as a soil conditioner
5. as a popular decorative addition to rock gardens
Question: Please list down some details about Kate Elizabeth Pickett from given text
Evidence: Kate Elizabeth Pickett OBE FFPH FAcSS FRSA (born 1965) is a British epidemiologist and political activist who is Professor of Epidemiology in the Department of Health Sciences at the University of York, and was a National Institute for Health and Care Research Career Scientist from 2007–2012. She co-authored (with Richard G. Wilkinson) The Spirit Level: Why More Equal Societies Almost Always Do Better and is a co-founder of The Equality Trust. Pickett was awarded a 2013 Silver Rose Award from Solidar for championing equality and the 2014 Charles Cully Memorial Medal by the Irish Cancer Society.
Answer: 1. Kate Elizabeth Pickett, a British epidemiologist and political activist, was a Career Scientist at the National Institute for Health and Care Research from 2007 to 2012 and is currently a Professor of Epidemiology in the Department of Health Sciences at the University of York.
2. She founded The Equality Trust and co-authored The Spirit Level: Why More Equal Societies Almost Always Do Better with Richard G. Wilkinson.
3. For promoting equality, Pickett received the Solidar Silver Rose Award in 2013 and the Irish Cancer Society's Charles Cully Memorial Medal in 2014.
Question: What kind of framework do they propose?
Evidence: Constituency BIBREF0 and dependency grammars BIBREF1 , BIBREF2 are the two main abstractions for representing the syntactic structure of a given sentence, and each of them has its own particularities BIBREF3 . While in constituency parsing the structure of sentences is abstracted as a phrase-structure tree (see Figure FIGREF6 ), in dependency parsing the tree encodes binary syntactic relations between pairs of words (see Figure FIGREF6 ).
When it comes to developing natural language processing (nlp) parsers, these two tasks are usually considered as disjoint tasks, and their improvements therefore have been obtained separately BIBREF4 , BIBREF5 , BIBREF6 , BIBREF7 , BIBREF8 , BIBREF9 .
Despite the potential benefits of learning across representations, there have been few attempts in the literature to do this. klein2003fast considered a factored model that provides separate methods for phrase-structure and lexical dependency trees and combined them to obtain optimal parses. With a similar aim, ren2013combine first compute the n best constituency trees using a probabilistic context-free grammar, convert those into dependency trees using a dependency model, compute a probability score for each of them, and finally rerank the most plausible trees based on both scores. However, these methods are complex and intended for statistical parsers. Instead, we propose a extremely simple framework to learn across constituency and dependency representations.
Instead, we propose a extremely simple framework to learn across constituency and dependency representations.
Answer: A framework to learn across constituency and dependency representations.
Question: Let me know some different ways that someone can get healthier.
Answer: Healthy habits are incremental, so making small changes every day can make a difference over time. Some ideas in which to be healthier include drinking more water each day, as most people do not consume enough water. You could also try to increase your activity and maybe schedule 30 minutes of cardiovascular exercise each day. Try to eat more whole-foods that include fruit and vegetables and avoid processed foods and of course, at least 7 hours of sleep each night is important for full recovery.