DataHammer/scimrc huggingface dataset:
Question: What is the architecture of the model?
Evidence: Training: The baseline model was trained using RNNLM BIBREF25 . Then, we trained our LSTM models with different hidden sizes [200, 500]. All LSTMs have 2 layers and unrolled for 35 steps. The embedding size is equal to the LSTM hidden size. A dropout regularization BIBREF26 was applied to the word embedding vector and POS tag embedding vector, and to the recurrent output BIBREF27 with values between [0.2, 0.4]. We used a batch size of 20 in the training. EOS tag was used to separate every sentence. We chose Stochastic Gradient Descent and started with a learning rate of 20 and if there was no improvement during the evaluation, we reduced the learning rate by a factor of 0.75. The gradient was clipped to a maximum of 0.25. For the multi-task learning, we used different loss weights hyper-parameters INLINEFORM0 in the range of [0.25, 0.5, 0.75]. We tuned our model with the development set and we evaluated our best model using the test set, taking perplexity as the final evaluation metric. Where the latter was calculated by taking the exponential of the error in the negative log-form. INLINEFORM1
FLOAT SELECTED: Figure 1: Multi-Task Learning Framework
Then, we trained our LSTM models with different hidden sizes [200, 500]. 
FLOAT SELECTED: Figure 1: Multi-Task Learning Framework
Answer: The answers are shown as follows:
* LSTM
Question: Tell me whether the following people are athletes: LeBron James, Eileen Gu, Bjergsen, Rory McIlroy, Naomi Osaka.
Answer: All of these people are athletes with the exception of Bjergsen. Bjergsen is a League of Legends (LoL) player. While LoL is considered an e-sport, its players do not fit into the traditional definition of an athlete, which is generally defined as someone who competes in physical sports. Having said that, some would say that competitive e-sports require significant mental stamina and finger dexterity, so one could argue that Bjergsen is an athlete.
Question: Identify which animal species is alive or extinct: Arctotherium, Eastern Lowland Gorilla
Answer: Eastern Lowland Gorilla is alive, Arctotherium is extinct.
Question: Extract, in order from largest earning to smallest, the biggest earning markets for the premier of Moana, the 2016 Disney film.
Evidence: The biggest earning markets to date have been Japan ($45.9 million), followed by France ($35.5 million), China ($32.8 million), the UK ($25.3 million), Brazil ($22.9 million), Australia ($19 million), Germany ($17 million), Italy ($15.9 million), and South Korea ($15.5 million).
Answer: Japan ($45.9 million), followed by France ($35.5 million), China ($32.8 million), the UK ($25.3 million), Brazil ($22.9 million), Australia ($19 million), Germany ($17 million), Italy ($15.9 million), and South Korea ($15.5 million).
Question: I am not sure if I understand ΩI and ΩK, defined at the beginning of Section 4. Could you explain them in more detail?
Evidence: In this section, we introduce our proposed CGPFL in detail. The key idea is to dynamically cluster the clients into K disjoint groups based on their uploaded local model updates, and then develop a generalized model for each group by aggregating the updates in each clusters. These generalized models are utilized to guide the training directions of personalized models and transfer fine-grained generalization to them. Both the personalized models and the group models are trained in parallel, so we can denote the model parameters in matrix form. The generalized models can be written as
In this paper, we use capital characters to represent matrices unless stated otherwise.
The generalized models can be written as ΩK = [ω1, . . . , ωk, . . . , ωK] ∈ Rd×K, and the corresponding local approximations are ΩI,R = [ω1,R, . . . , ωi,R, . . . , ωN,R], where R is the number of local iterations and ωi,R, ωk ∈ Rd, ∀i ∈ [N], k ∈ [K].
Answer: As explained in Question 2, to compute Ωk, k=1,2,...,K in a distributional manner, we utilize the local updates omegaj, j in Ck as the local estimations of omegak. Therefore, the elements in ΩI are the local estimations of the related generalized models in ΩK. In the revision paper, we use omegai,R |i=1,2,...,N and omegak|k=1,2,...,K to define ΩI,R and ΩK, respectively, where R is the number of local iterations.
Question: Did David Benioff direct any episodes in season three of Game of Thrones?
Answer: David Benioff directed "Walk of Punishment" in season three of Game of Thrones
Question: What are the top nominated films to the Academy Awards in 2023?
Answer: The top nominated films for the 2023 Academy Awards are as follows:

Everything Everywhere All at Once - 11 nominations
All Quiet on the Western Front - 9 nominations
The Banshees of Inisherin - 9 nominations
Elvis - 8 nominations
The Fabelmans - 7 nominations
Tár - 6 nominations
Top Gun: Maverick - 6 nominations
Black Panther: Wakanda Forever - 5 nominations
Avatar: The Way of Water - 4 nominations
Babylon - 3 nominations
The Batman - 3 nominations
Triangle of Sadness - 3 nominations
The Whale - 3 nominations
Question: Which animal is associated with Chengdu?
Evidence: Chengtu, is a sub-provincial city which serves as the capital of the Chinese province of Sichuan. With a population of 20,937,757 inhabitants during the 2020 Chinese census, it is the fourth most populous city in China, and it is the only city apart from the four direct-administered municipalities with a population of over 20 million. It is traditionally the hub in Southwest China.

Chengdu is located in central Sichuan. The surrounding Chengdu Plain is known as the "Country of Heaven" (Chinese: 天府之国; pinyin: Tiānfǔ zhi Guó) and the "Land of Abundance". Its prehistoric settlers included the Sanxingdui culture. The site of Dujiangyan, an ancient irrigation system, is designated as a World Heritage Site. The Jin River flows through the city. Chengdu's culture largely reflects that of its province, Sichuan; in 2011, it was recognized by UNESCO as a city of gastronomy. It is associated with the giant panda, a Chinese national symbol, which inhabits the area of Sichuan; the city is home to the Chengdu Research Base of Giant Panda Breeding.
Answer: Chengdu is associated with the giant panda, a Chinese national symbol, which inhabits the area of Sichuan; the city is home to the Chengdu Research Base of Giant Panda Breeding.
Question: Why we need music?
Answer: I think the reason why we need music is that it adds color to our lives and provides another way to express emotions. We need alternative ways to express our emotions, whether we're happy or sad. Music is also important for events such as parties, ceremonies, social activities etc...
Question: What are some common proteins in tacos?
Answer: Tacos can be filled with many types of proteins, such as chicken, ground meat, carnitas (shredded pork), carne asada (steak), fish, shrimp, tofu, black beans, refried beans, or lentils.
Question: What is a spiral staircase?
Answer: A spiral staircase is a set of stairs that circles around a central pole and allows for a steeper ascent than other stair designs.
Question: Classify these programming languages to compiled or interpreted: shell script, erlang, rust, python, javascript, C++, go
Answer: - Compiled language: erlang, rust, C++, go
- Interpreted language: shell script, python, javascript
Question: What are the conclusions of this study?
Evidence: The paper studies the effectiveness of various affect lexicons word embeddings to estimate emotional intensity in tweets. A light-weight easy to use affect computing framework (EmoInt) to facilitate ease of experimenting with various lexicon features for text tasks is open-sourced. It provides plug and play access to various feature extractors and handy scripts for creating ensembles.
Few problems explained in the analysis section can be resolved with the help of sentence embeddings which take the context information into consideration. The features used in the system are generic enough to use them in other affective computing tasks on social media text, not just tweet data. Another interesting feature of lexicon-based systems is their good run-time performance during prediction, future work to benchmark the performance of the system can prove vital for deploying in a real-world setting.
A light-weight easy to use affect computing framework (EmoInt) to facilitate ease of experimenting with various lexicon features for text tasks is open-sourced. It provides plug and play access to various feature extractors and handy scripts for creating ensembles.
Answer: A light-weight easy to use affect computing framework (EmoInt) to facilitate ease of experimenting with various lexicon features for text tasks is open-sourced. It provides plug and play access to various feature extractors and handy scripts for creating ensembles.
Question: In a preliminary task, they ranked the words appearing in positive sentences according to what?
Evidence: In a preliminary task, we looked for words which may designate sentences associated with controversial concepts. To this end, we ranked the words appearing in positive sentences according to their information gain for this task. The top of the list comprises the following: that, sexual, people, movement, religious, issues, rights.
The Wikipedia list of controversial issues specifies categories for the listed concepts, like Politics and economics, Religion, History, and Sexuality (some concepts are associated with two or more categories). While some top-ranked words - that, people, issues - do seem to directly indicate controversiality BIBREF12, BIBREF13, others seem to have more to do with the category they belong to. Although these categories may indeed indicate controversiality, we consider this as an indirect or implicit indication, since it is more related to the controversial theme than to controversiality per-se.
To control for this effect, we performed a second experiment where we set the concepts from one category as the test set, and used the others for training (concepts associated with the excluded category are left out, regardless of whether they are also associated with one of the training categories). We did this for 5 categories: History, Politics and economics, Religion, Science, and Sexuality. This way, thematic relatedness observed in the training set should have little or no effect on correctly estimating the level of controversy associated of concepts in the test set, and may even “mislead” the estimator. We note that previous work on controversiality does not seem to address this issue, probably because the meta-data used is less sensitive to it.
In a preliminary task, we looked for words which may designate sentences associated with controversial concepts. To this end, we ranked the words appearing in positive sentences according to their information gain for this task.
Answer: According to their information gain for this task.
Question: What does #956 mean?
Answer: #956 refers to the Rio Grande Valley, an area in South Texas.The number 956 is the area code. It includes the city of McAllen, Pharr, Brownsville, and the popular beach destination: South Padre Island, just to name a few.  People also say "Puro 956" to express pride for the area. The area shares the border with Mexico which explains why the majority of the population has Mexican heritage and the #1 language is Spanish. The 956 area is known for its rich culture and delicious Mexican food.
Question: Which cities participated in the first IPL?
Evidence: On 13 September 2007, on the back of India's victory at the 2007 T20 World Cup, BCCI announced a franchise-based Twenty20 cricket competition called Indian Premier League. The first season was slated to start in April 2008, in a "high-profile ceremony" in New Delhi. BCCI vice-president Lalit Modi, who spearheaded the IPL effort, spelled out the details of the tournament including its format, the prize money, franchise revenue system and squad composition rules. It was also revealed that the IPL would be run by a seven-man governing council composed of former India players and BCCI officials and that the top two teams of the IPL would qualify for that year's Champions League Twenty20. Modi also clarified that they had been working on the idea for two years and that the IPL was not started as a "knee-jerk reaction" to the ICL. The league's format was similar to that of the Premier League of England and the NBA in the United States.
In order to decide the owners for the new league, an auction was held on 24 January 2008 with the total base prices of the franchises costing around $400 million. At the end of the auction, the winning bidders were announced, as well as the cities the teams would be based in: Bangalore, Chennai, Delhi, Hyderabad, Jaipur, Kolkata, Mohali, and Mumbai. In the end, the franchises were all sold for a total of $723.59 million. The Indian Cricket League soon folded in 2008.
Answer: Bangalore, Chennai, Delhi, Hyderabad, Jaipur, Kolkata, Mohali, Mumbai
Question: what is the practical application for this paper?
Evidence: Morphology deals with the internal structure of words BIBREF0 , BIBREF1 . Languages of the world have different word production processes. Morphological richness vary from language to language, depending on their linguistic typology. In natural language processing (NLP), taking into account the morphological complexity inherent to each language could be important for improving or adapting the existing methods, since the amount of semantic and grammatical information encoded at the word level, may vary significantly from language to language.
Additionally, most of the previous works do not analyze how the complexity changes when different types of morphological normalization procedures are applied to a language, e.g., lemmatization, stemming, morphological segmentation. This information could be useful for linguistic analysis and for measuring the impact of different word form normalization tools depending of the language. In this work, we analyze how the type-token relationship changes using different types of morphological normalization techniques.
In natural language processing (NLP), taking into account the morphological complexity inherent to each language could be important for improving or adapting the existing methods, since the amount of semantic and grammatical information encoded at the word level, may vary significantly from language to language.
This information could be useful for linguistic analysis and for measuring the impact of different word form normalization tools depending of the language.
Answer: Improve existing NLP methods. Improve linguistic analysis. Measure impact of word normalization tools.
Question: You have been placed in the position of supporting the 2010 Supreme Court decision in Citizens United v. Federal Election Commission.  Please develop your position into a one-page position paper (12-point font, single spaced).
Answer: The Citizens United case is ultimately one pertaining to freedom of speech—while undeniable to US citizens, the protection of free speech was previously denied to unions and corporations. Now, they can express support or criticism of political candidates. This should be good news for both dominant political parties, as liberals tending to support unions and conservatives tending to laud free enterprise both have great voice in the election process. Concern, however, has been raised that companies now have too loud a voice.
But, who makes up companies? Individual humans, who are free to join and leave those companies at will. Why would a group of humans be devoid of any rights to which the individuals of the group are entitled? The constitutional right to free speech, it follows, applies to groups of individuals – which companies are – and those groups should be able to leverage their earned dollars to further promote their own well-being. And the ruling has legal precedent: dating back to 1868, US corporations have enjoyed equal protection under the 14th amendment and protection against search and seizure without warrant (Totenberg, N.)
But the decision cannot be analyzed solely through legal theory. What have the actual impacts been since the ruling? Rather than observing unlimited spending from corporations as feared, the last ten years have reemphasized the importance of low-level donors; instead of focusing power on just one party or candidate that certain corporations back, political parties have taken turns assuming power; corporate donations remain under 10% of total political spending at the federal level. Furthermore, it seems that wealthy individuals, rather than any specific union or corporation, have been making oversized donations that dominant the budgets of super-PACs. It follows that any concerns around voices dominating the political conversation are indeed individuals, not unions or corporations as fear.
Citizens United allows companies to further act in their best interests and raise issues pertaining to the business. US citizens can and should be trusted to consume rhetoric intellectually, instead of shielded from the arguments companies are making.
Question: From the following paragraph, what is the main conclusion about the halting problem?
Evidence: In computability theory, the halting problem is the problem of determining, from a description of an arbitrary computer program and an input, whether the program will finish running, or continue to run forever. Alan Turing proved in 1936 that a general algorithm to solve the halting problem for all possible program–input pairs cannot exist. For any program f that might determine whether programs halt, a "pathological" program g, called with some input, can pass its own source and its input to f and then specifically do the opposite of what f predicts g will do. No f can exist that handles this case. A key part of the proof is a mathematical definition of a computer and program, which is known as a Turing machine; the halting problem is undecidable over Turing machines. It is one of the first cases of decision problems proven to be unsolvable. This proof is significant to practical computing efforts, defining a class of applications which no programming invention can possibly perform perfectly.
Answer: The halting problem is unsolvable.
Question: Who is Carl Rimmer
Evidence: Carl Rimmer (born 29 April 1986 in Banbury, England) is a Rugby Union player for Exeter Chiefs in the Aviva Premiership.

Rimmer is equally capable of playing at both loosehead and tighthead prop and made his debut for Exeter against London Welsh on 16 September 2012, subsequently starting at both loosehead and tighthead. Rimmer joined Exeter from fellow westcountry side Cornish Pirates and is qualified to play for both England or Wales. He was a replacement as Exeter Chiefs defeated Wasps to be crowned champions of the 2016-17 English Premiership.
Answer: Carl Rimmer (born 29 April 1986 in Banbury, England) is a Rugby Union player for Exeter Chiefs in the Aviva Premiership.
Question: What are the two types of conversation from the interaction point of view?
Evidence: In this section we discuss the state of the art on conversational systems in three perspectives: types of interactions, types of architecture, and types of context reasoning. Then we present a table that consolidates and compares all of them.
ELIZA BIBREF11 was one of the first softwares created to understand natural language processing. Joseph Weizenbaum created it at the MIT in 1966 and it is well known for acting like a psychotherapist and it had only to reflect back onto patient's statements. ELIZA was created to tackle five "fundamental technical problems": the identification of critical words, the discovery of a minimal context, the choice of appropriate transformations, the generation of appropriate responses to the transformation or in the absence of critical words, and the provision of an ending capacity for ELIZA scripts.
Right after ELIZA came PARRY, developed by Kenneth Colby, who is psychiatrist at Stanford University in the early 1970s. The program was written using the MLISP language (meta-lisp) on the WAITS operating system running on a DEC PDP-10 and the code is non-portable. Parts of it were written in PDP-10 assembly code and others in MLISP. There may be other parts that require other language translators. PARRY was the first system to pass the Turing test - the psychiatrists were able to make the correct identification only 48 percent of the time, which is the same as a random guessing.
A.L.I.C.E. (Artificial Linguistic Internet Computer Entity) BIBREF12 appeared in 1995 but current version utilizes AIML, an XML language designed for creating stimulus-response chat robots BIBREF13 . A.L.I.C.E. bot has, at present, more than 40,000 categories of knowledge, whereas the original ELIZA had only about 200. The program is unable to pass the Turing test, as even the casual user will often expose its mechanistic aspects in short conversations.
Cleverbot (1997-2014) is a chatbot developed by the British AI scientist Rollo Carpenter. It passed the 2011 Turing Test at the Technique Techno-Management Festival held by the Indian Institute of Technology Guwahati. Volunteers participate in four-minute typed conversations with either Cleverbot or humans, with Cleverbot voted 59.3 per cent human, while the humans themselves were rated just 63.3 per cent human BIBREF14 .
Therefore, from the interaction point of view, there are two types: 1) one in which the chatbot was designed to chat with one person or chatbot, and 2) other in which the chatbot can interact with more than two members in the chat.
Answer: There are two types: 1) one in which the chatbot was designed to chat with one person or chatbot, and 2) other in which the chatbot can interact with more than two members in the chat.
Question: When did ITV start broadcasting?
Evidence: The history of ITV, the United Kingdom "Independent Television" commercial network, goes back to 1955.

Independent Television began as a network of independently-owned regional companies that were both broadcasters and programme makers, beginning with four companies operating six stations in three large regions in 1955–1956, and gradually expanding to 17 stations in 14 regions by 1962. Each regional station was responsible for its own branding, scheduling and advertising, with many peak-time programmes shared simultaneously across the whole network.

By 29 February 2016, 12 regions in England and Wales shared national ITV branding and scheduling, and, together with a 13th region UTV in Northern Ireland, were owned by a single company, ITV plc. A further two regions in Scotland carry STV branding and are owned by the STV Group.
Answer: ITV first broadcast in 1955.
Question: What is the B61 nuclear bomb?
Evidence: The B61 nuclear bomb is the primary thermonuclear gravity bomb in the United States Enduring Stockpile following the end of the Cold War. It is a low to intermediate-yield strategic and tactical nuclear weapon featuring a two-stage radiation implosion design.
Answer: The B61 nuclear bomb is a low to intermediate yield strategic and tactical nuclear weapon. It features a two-stage radiation implosion design, and is the primary thermonuclear gravity bomb in the United States Enduring stockpile following the end of the Cold War.
Question: How do people get where they want to go
Answer: People will typically look at a map and search for their destination. Then they follow the instructions on the map to get to their destination
Question: Identify which instrument is string or percussion: Candombe drums, Datong
Answer: Datong is string, Candombe drums is percussion.