DataHammer/scimrc huggingface dataset:
Question: Which clause is selected to be the emotion cause in each document?
Evidence: The formal definition of emotion cause extraction is given in BIBREF31 . In this task, a given document, which [id=lq]is a passage about an emotion event, contains an emotion word INLINEFORM0 and the cause of the event. The document is manually segmented in the clause level. For each clause INLINEFORM1 consisting of INLINEFORM2 words, the goal [id=lq]is to identify which clause contains the emotion cause. [id=lq]For data representation, we can map each word into a low dimensional embedding space, a.k.a word vector BIBREF32 . All the word vectors are stacked in a word embedding matrix INLINEFORM3 , where INLINEFORM4 is the dimension of word vector and INLINEFORM5 is the vocabulary size.
For example, the sentence, “I lost my phone yesterday, I feel so sad now.” shown in Figure 1, consists of two clauses. The first clause contains the emotion cause while the second clause [id=lq]expresses the emotion of sadness. [id=lq]Current methods to emotion cause extraction cannot handle complex sentence structures where the expression of an emotion and its cause are not adjacent. We envision that the memory network can [id=lq]better model the relation between [id=lq]a emotion word and [id=lq]its emotion causes in such complex sentence structures. In our approach, we only select the clause with the highest probability to be [id=lq] thean emotion cause in each document.
In our approach, we only select the clause with the highest probability to be the emotion cause in each document.
Answer: The authors only select the clause with the highest probability to be the emotion cause in each document.
Question: Why is security important for organizations?
Answer: Organizations are typically focused on executing on their mission and taking care of their customers' needs. Security often feels like it is an unnecessary overhead, it actually slows one down from being able to focus on the core of their mission - kind of feels like brakes on a car. How fast would you go in a car without brakes? It turns out that security (like brakes) does slow you down, but also is the reason you are willing to go fast.
Question: Is the economy doing well right now?
Answer: The economy is doing surprisingly well right now considering the collapse of Silicon Valley Bank (SVB).  We are in a slight recession but we are inching our way out of it.  Other banks are not collapsing and people's confidence in the stock market and economy is getting better with time.  Other sentiments that can affect the emotion of how people view the economy can be tied to how they view the current presidential administration or what their political affiliations are.
Question: Which of Dany's dragons dies first?
Answer: Viserion died in season 7 of Game of Thrones
Question: Why is it so hard to predict which teams will make the Men's College Basketball Final Four?
Answer: Unlike other sports where playoff rounds can be a series of multiple games (such as the NBA, NHL, MLB, etc), the "March Madness" college basketball playoffs features single elimination games for each round, so in a one game playoff, upsets are much more likely than in a 7 game series, where the statistically better team is most like going to win. So, out of the 68 teams that make the tournament, it is hard to predict who will each round.
Question: As a first time visitor to India, where should I visit?
Answer: India is a big and diverse country with many experiences to offer.  You could visit historical landmarks like the world famous Taj Mahal in Agra or go to Rajasthan to see the palaces of the maharajas.  If rejuvenation and health is your focus,  you could go to Kerala for its beautiful backwaters where you can disconnect from all electronic devices.  And immerse yourself in yoga and ayurveda for a detox.  If you are looking for adventure, head to the mountains in Kashmir (the Switzerland of India) and the himalayas for skiing and trekking.  Leh in Ladhakh is a very popular destination too, but do make sure you have at least 5-7 days for this trip. If you would rather be on a beach, India offers many destinations on its coast line the most popular being Goa. And finally if you are looking for a city break, the biggest cities of India are New Delhi its capital, Mumbai the financial headquarters and where Bollywood is based, Kolkatta in the east, Bangalore India's silicon valley and Chennai in the south. I hope this gives you enough information to start planning your India trip.
Question: What was the result of the highest performing system?
Evidence: There are 74 participants who are signing up the evaluation. The final number of participants is 28 and the number of submitted systems is 43. Table TABREF14 and TABREF15 show the evaluation results of the closed test and open test of the task 1 respectively. Due to the space limitation, we only present the top 5 results of task 1. We will add the complete lists of the evaluation results in the version of full paper.
Note that for task 2, there are 7 submitted systems. However, only 4 systems can provide correct results or be connected in a right way at the test phase. Therefore, Table TABREF16 shows the complete results of the task 2.
FLOAT SELECTED: Table 4: Top 5 results of the closed test of the task 1.
FLOAT SELECTED: Table 5: Top 5 results of the open test of the task 1.
FLOAT SELECTED: Table 6: The results of the task 2. Ratio, Satisfaction, Fluency, Turns and Guide indicate the task completion ratio, user satisfaction degree, response fluency, number of dialogue turns and guidance ability for out of scope input respectively.
Table TABREF14 and TABREF15 show the evaluation results of the closed test and open test of the task 1 respectively.
Therefore, Table TABREF16 shows the complete results of the task 2.
FLOAT SELECTED: Table 4: Top 5 results of the closed test of the task 1.
FLOAT SELECTED: Table 5: Top 5 results of the open test of the task 1.
FLOAT SELECTED: Table 6: The results of the task 2. Ratio, Satisfaction, Fluency, Turns and Guide indicate the task completion ratio, user satisfaction degree, response fluency, number of dialogue turns and guidance ability for out of scope input respectively.
Answer: For task 1 best F1 score was 0.9391 on closed and 0.9414 on open test.
For task2 best result had: Ratio 0.3175 , Satisfaction 64.53, Fluency 0, Turns -1 and Guide 2
Question: From the passage provided, extract the government posts George Osborne held.
Evidence: George Osborne was elected as MP for Tatton in 2001, becoming the youngest Conservative member of the House of Commons. He was appointed Shadow Chief Secretary to the Treasury by Conservative leader Michael Howard in 2004. The following year he ran David Cameron's successful party leadership campaign, and was subsequently appointed Shadow Chancellor of the Exchequer. After the 2010 general election, Osborne was appointed Chancellor of the Exchequer in the Cameron–Clegg coalition. He succeeded Alistair Darling, inheriting a large deficit in government finances due to the effects of the late-2000s financial crisis. As Chancellor, Osborne's tenure pursued austerity policies aimed at reducing the budget deficit and launched the Northern Powerhouse initiative. After the Conservatives won an overall majority in the 2015 general election, Cameron reappointed him Chancellor in his second government and gave him the additional title of First Secretary of State. He was widely viewed as a potential successor to David Cameron as Leader of the Conservative Party; one Conservative MP, Nadhim Zahawi, suggested that the closeness of his relationship with Cameron meant that the two effectively shared power during the duration of the Cameron governments. Following the 2016 referendum vote to leave the European Union and Cameron's consequent resignation, he was dismissed by Cameron's successor, Theresa May.
Answer: Shadow Chief Secretary to the Treasury, Shadow Chancellor of the Exchequer, Chancellor of the Exchequer, First Secretary of State
Question: what was the impact on software companies from the revenue standard called 606?
Answer: VSOE was replaced by SSP (Standard selling price), new disclosures around Remaining performance obligations
Question: What is the first variant in this paper?
Evidence: Out of nearly 7000 languages spoken worldwide, current speech (ASR, TTS, voice search, etc.) technologies barely address 200 of them. Broadening ASR technologies to ideally all possible languages is a challenge with very high stakes in many areas and is at the heart of several fundamental research problems ranging from psycholinguistic (how humans learn to recognize speech) to pure machine learning (how to extract knowledge from unlabeled data). The present work focuses on the narrow but important problem of unsupervised Acoustic Unit Discovery (AUD). It takes place as the continuation of an ongoing effort to develop a Bayesian model suitable for this task, which stems from the seminal work of BIBREF0 later refined and made scalable in BIBREF1 . This model, while rather crude, has shown that it can provide a clustering accurate enough to be used in topic identification of spoken document in unknown languages BIBREF2 . It was also shown that this model can be further improved by incorporating a Bayesian "phonotactic" language model learned jointly with the acoustic units BIBREF3 . Finally, following the work in BIBREF4 it has been combined successfully with variational auto-encoders leading to a model combining the potential of both deep neural networks and Bayesian models BIBREF5 . The contribution of this work is threefold:
The first one (called HMM model in the remainder of this paper), following the analysis led in [9], approximates the Dirichlet Process prior by a mere symmetric Dirichlet prior. This approximation, while retaining the sparsity constraint, avoids the complication of dealing with the variational treatment of the stick breaking process frequent in Bayesian non-parametric models.
Answer: The first one (called HMM model) approximates the Dirichlet Process prior by a mere symmetric Dirichlet prior. This approximation, while retaining the sparsity constraint, avoids the complication of dealing with the variational treatment of the stick breaking process frequent in Bayesian non-parametric models.
Question: Tell me whether each animal lives in the water or on land: moose, mountain goat, tuna, oyster, parrot
Answer: Moose: Land
Mountain Goat: Land
Tuna: Water
Oyster: Water
Parrot: Land
Question: Who was Kevin Durant traded for when he was traded to the Suns?
Evidence: On February 9, 2023, the Nets traded Durant, along with T. J. Warren, to the Phoenix Suns in exchange for Mikal Bridges, Cameron Johnson, Jae Crowder, four unprotected first-round picks, and a 2028 first-round pick swap. Although Durant wanted to continue wearing No. 7 as he did in Brooklyn, the number was retired by the Suns in honor of Kevin Johnson. As a result, Durant announced that he would return to wearing the No. 35 jersey, which he had worn throughout his college and professional career prior to joining the Nets.
Answer: Kevin Durant was traded to the Phoenix suns for T.J. Warren, Mikal Bridges, Cameron Johnson, Jae Crowder, and four first round picks.  The trade was considered fair given that the Suns, who are trying to win a championship now, received a top 10 player and the Nets received several promising young players who will help the Nets re-build their team after losing Durant and Kyrie Irving to trades.
Question: With reference to the text given, list some details about lung cancer
Evidence: Lung cancer, also known as lung carcinoma, is a malignant tumor that begins in the lung. Lung cancers are caused by genetic damage to the DNA of cells in the airways, often exacerbated by cigarette smoking, or inhaling damaging chemicals. Damaged airway cells sometimes gain the ability to proliferate unchecked, causing the growth of a tumor. Without treatment, lung tumors can spread throughout the lung, damaging lung function. Eventually lung tumors metastasize, spreading to distant parts of the body, and causing varying disease. Lung cancers are classified based on the cells they originate from. Around 15% are small-cell lung cancers, while the remaining 85% (the non-small-cell lung cancers) are adenocarcinomas, squamous-cell carcinomas, and large-cell carcinomas.
Answer: 1. Lung cancer, sometimes referred to as lung carcinoma, is a cancerous tumour that starts in the lung.
2. Smoking cigarettes or inhaling toxic chemicals can aggravate genetic damage to the DNA of cells in the airways, which is what causes lung cancer.
3. In some cases, damaged airway cells acquire the capacity to proliferate unchecked, leading to the development of a tumour.
4. Lung tumours can spread throughout the lung if left untreated, impairing lung function.
5. Lung tumours eventually spread to other areas of the body and develop metastases, which lead to a variety of diseases.
6. The cells from which lung tumours develop are used to categorise them.
7. Adenocarcinomas, squamous-cell carcinomas, and large-cell carcinomas make up the majority of non-small-cell lung malignancies, which account for the remaining 15% of cases.
Question: Summarize the given text in several sentences.
Evidence: Horizon Zero Dawn is an action role-playing game played from a third-person view. Players take control of Aloy, a hunter who ventures through a post-apocalyptic land ruled by robotic creatures. Aloy can kill enemies in a variety of ways – shooting them with arrows, setting traps such as tripwires using the Tripcaster, using explosives, and a spear. Machine components, including electricity and the metal they are composed of, are vital to Aloy's survival; she can loot their remains for crafting resources. Ammo, resource satchels, pouches, quivers, resistance, antidotes, health potions, and traps can all be crafted. Weapons have modification slots for dealing more damage. Aloy wears a Focus, a small head piece that scans machines to determine their susceptibilities, identify their location, their level, and the nature of loot they will drop. One machine, the Stalker, can enable cloaking technology to avert the gaze of Aloy's Focus scan. Machines attack with defensive and offensive measures, and in either case react to a perceived threat by charging at it with brute force or projectiles. Exhibiting the behaviour of wild animals, some machines are inclined to move in herds, and others, with the ability to fly, do so in flocks. Unless hacked with the Override Tool, or sufficiently hit with corruption arrows, machines do not exert aggressive force against each other. Aloy also engages in battle with human enemies, such as bandits and the Eclipse cult.
Answer: Horizon Zero Dawn is an action role-playing game played from a third-person view. The main character named Aloy, a hunter who needs to survive in a post-apocalyptic world controlled by machines. Aloy has access to different weapons, resources and technologies to kill enemies, survive and find the clues to progress in this world. Aloy's enemies comprising both machines and humans (such as bandits and the Eclipse cult).
Question: What debate websites did they look at?
Evidence: We start by crawling the content of a few notable debating websites: idebate.com, debatewise.org, procon.org. This yields INLINEFORM0 claims, INLINEFORM1 perspectives and INLINEFORM2 evidence paragraphs (for complete statistics, see Table TABREF46 in the Appendix). This data is significantly noisy and lacks the structure we would like. In the following steps we explain how we denoise it and augment it with additional data.
We start by crawling the content of a few notable debating websites: idebate.com, debatewise.org, procon.org.
Answer: The answers are shown as follows:
* idebate.com
* debatewise.org
* procon.org
Question: Who was the first United States president to be indicted in court in the State of New York
Answer: No person who was actively the President of the United States has ever been indicted in criminal court in the State of New York. However, on April 4th, former President of the United States, Donald J. Trump, was indicted on 34 counts of falsifying business records in an attempt to cover up personal scandals.
Question: What is an "El Niño" weather pattern?
Evidence: El Niño (/ɛl ˈniːnjoʊ/ el NEEN-yoh, Spanish: [el ˈniɲo]; lit. 'The Boy') is the warm phase of the El Niño–Southern Oscillation (ENSO) and is associated with a band of warm ocean water that develops in the central and east-central equatorial Pacific (approximately between the International Date Line and 120°W), including the area off the Pacific coast of South America. The ENSO is the cycle of warm and cold sea surface temperature (SST) of the tropical central and eastern Pacific Ocean.

El Niño is accompanied by high air pressure in the western Pacific and low air pressure in the eastern Pacific. El Niño phases are known to last close to four years; however, records demonstrate that the cycles have lasted between two and seven years. During the development of El Niño, rainfall develops between September–November. 

It should be noted that the cool phase of ENSO is Spanish: La Niña, lit. 'The Girl', with SSTs in the eastern Pacific below average, and air pressure high in the eastern Pacific and low in the western Pacific. The ENSO cycle, including both El Niño and La Niña, causes global changes in temperature and rainfall.
Answer: El Niño (/ɛl ˈniːnjoʊ/ el NEEN-yoh, Spanish: [el ˈniɲo]; lit. 'The Boy') is the warm phase of the El Niño–Southern Oscillation (ENSO) and is associated with a band of warm ocean water that develops in the central and east-central equatorial Pacific (approximately between the International Date Line and 120°W), including the area off the Pacific coast of South America.
Question: Given a reference text about Raul Axente Ciupe, tell me what country he is from and what position he played.
Evidence: Raul Axente Ciupe (born 24 November 1983) is a Romanian former footballer who played as a right back or midfielder for teams such as Sportul Studențesc, Universitatea Cluj or Sănătatea Cluj, among others.

Career
After playing for Gaz Metan Mediaș in Divizia B, Ciupe made his top-flight debut on 31 July 2004 as a Sportul Studențesc player, in a match against Unirea Alba-Iulia.

Playing for the Romania national under-21 football team in a match against Macedonia, he was fouled by Goran Popov and suffered a broken tibia. Minutes earlier, another Macedonian player, Hristijan Kirovski, was sent off after also fouling Ciupe. The right-back completely missed the 2005–2006 season because of the injury.

Ciupe played seven years for Sportul Studențesc before joining FC Brașov in November 2011. In June 2012 he was transferred by his hometown team Universitatea Cluj for whom he managed to score his first goals in Liga I, against Astra Ploiești and the local rivals from CFR Cluj.
Answer: Raul Axente Ciupe is from Romania and played right-back.
Question: What is Kendrick Lamar famous for?
Answer: Kendrick Lamar is famous for being a rapper
Question: What evaluation metric were used for presenting results? 
Evidence: Our main results are presented in Table TABREF6 on the test set of the regulatory filings and in Table TABREF7 on the test set of the property lease agreements; F$_1$, precision, and recall are computed in the manner described above. We show metrics across all content elements (micro-averaged) as well as broken down by types. For the property lease agreements, we show results on all documents (left) and only over those with unseen templates (right). Examining these results, we see that although there is some degradation in effectiveness between all documents and only unseen templates, it appears that BERT is able to generalize to previously-unseen expressions of the content elements. Specifically, it is not the case that the model is simply memorizing fixed patterns or key phrases—otherwise, we could just craft a bunch of regular expression patterns for this task. This is a nice result that shows off the power of modern neural NLP models.
Our main results are presented in Table TABREF6 on the test set of the regulatory filings and in Table TABREF7 on the test set of the property lease agreements; F$_1$, precision, and recall are computed in the manner described above.
Answer: The answers are shown as follows:
* F$_1$, precision, and recall
Question: What are five cities in the state of North Carolina?
Answer: Five cities in North Carolina are Charlotte, Raleigh, Boone, Durham, and Asheville.
Question: Classify the cities based on whether they are located in Wallis and Futuna or Morocco.
Casablanca, El Kelaa des Srarhna, Mata-Utu, Fès, Leava
Answer: Wallis and Futuna - Mata-Utu, Leava
Morocco - Casablanca, El Kelaa des Srarhna, Fès
Question: Why is the most of the world's land is north of the equator?
Answer: It just happened to be the way at the moment. Believe it or not, the earth's continents are slowly moving. Around 300 million years ago, our planet had one big mass of land called Pangaea. It was mainly south of the equator. In another 200 million years, things will look different again.
Question: How to win and make friends?
Answer: As simple as this sounds, in reality, making friends and winning them is one of the toughest processes. Good friends are the biggest boon to life. It takes a lot of effort to know and understand people and make them friends. Here are a couple of qualities to have in us to make and win friends for life:
1. Along with their names, remember the name of their spouse/children/ any closest person they usually mention
2. Genuinely show interest and listen to them when they talk
3. Encourage them to talk about their interests
4. Don't criticize but understand them
5. Admit when you are wrong
6. Respect their opinions and don't judge
Question: What is the Metropolitan College of New York?
Evidence: The Metropolitan College of New York was founded in 1964 by educational pioneer Audrey Cohen as the Women's Talent Corp. It was renamed the College for Human Services in 1970, when it was granted a charter by the New York State Board of Regents. In 1983, it started offering business programs and in 1988, it added its first graduate program: a Master of Administration (today a Master of Public Administration). In 1992, the college was renamed Audrey Cohen College in honor of its founder. It gained its current name, the Metropolitan College of New York, in 2002.
Answer: The Metropolitan College of New York, founded in 1964 by Audrey Cohen, an educational pioneer, was originally named the Women's Talent Corporation.  In 1970 it was renamed teh College of Human Services and was granted a charter by the New York State Board of Regents.  In 1983 it added business programs and in 1988 added a Master of Administration.  The college was renamed in 1992 to the Audrey Cohen College in recognition of its founder.  In 2002 it was again renamed to the Metropolitan College of New York.
Question: Without quoting the text, explain to me why the One Mile telescope was built
Evidence: In 1971, Sir Martin Ryle described why, in the late 1950s, radio astronomers at MRAO decided on the construction of the new One Mile telescope: "Our object was twofold. First we wanted to extend the range of our observations far back in time to the earliest days of the Universe, and this required a large increase in both sensitivity and resolution. With greater resolution we hoped that we might be able to draw radio maps of individual radio sources with sufficient detail to give some indication of the physical processes which brought them into being."
Answer: The One Mile Telescope was built in the late 1950s with the goal of observing the early days of the universe. The construction of the telescope allowed to get more detailed images, allowing a better understanding of the physical phenomena at work.
Question: Classify which item is a fake color out of this set: blue, green, sheep, red, orange
Answer: A sheep is not a color