DataHammer/scimrc huggingface dataset:
Question: here is some text about Andre Weiss, how many years was Andre at University of Dijon in Paris?
Evidence: Charles André Weiss (September 30, 1858 in Mulhouse - August 31, 1928 in the Hague) was a French jurist. He was professor at the Universities of Dijon and Paris and served from 1922 until his death as judge of the Permanent Court of International Justice.

Life
André Weiss was born in Mulhouse in 1858 and completed a degree in law at the University of Paris in 1880. The following year he became a professor at the University of Dijon. In 1891 he moved to the Law School of the University of Paris. There he was from 1896 to 1908 a full professor of civil law, and from 1908 he held the chair for international law and private international law. From 1907 he also acted as legal advisor to the French Ministry of Foreign Affairs. He was a close associate of Secretary of State Aristide Briand and participated as a delegate to the Paris Peace Conference at the end of World War I. He led one of the subcommissions of the conference.

From 1920, he was a member of the Permanent Court of Arbitration in The Hague. In September 1921, he was elected by the Assembly and the Council of the League of Nations to the post of judge on the newly formed Permanent International Court. His fellow judges elected him vice president at the beginning of the Tribunal's work on February 3, 1922. He was confirmed in this office in 1924 and 1927. He died before the end of his term as Judge and Vice President in August 1928 in the Hague. His compatriot, Henri Fromageot, was elected his successor, and in the office of vice-president he was succeeded by the Swiss Max Huber.

André Weiss taught in 1923 as a lecturer at the Hague Academy of International Law. He was a member of the Institut de Droit International from 1887, acting as president of its 30th session in 1922 in Grenoble. From 1914 he was a member of the Académie des sciences morales et politiques.
Answer: Andre Weiss was at the University of Dijon in Paris for 10 years, 1881 to 1891, before moving to the University of Paris Law School.
Question: Extract the locations where McEwan lived as a child and list them using bullets.
Evidence: McEwan was born in Aldershot, Hampshire, on 21 June 1948, the son of David McEwan and Rose Lilian Violet (née Moore). His father was a working-class Scotsman who had worked his way up through the army to the rank of major.

McEwan spent much of his childhood in East Asia (including Singapore), Germany, and north Africa (including Libya), where his father was posted. His family returned to England when he was 12 years old. He was educated at Woolverstone Hall School in Suffolk; the University of Sussex, where he received a degree in English literature in 1970; and the University of East Anglia, where he undertook a master's degree in literature (with the option to submit creative writing instead of a critical dissertation).
Answer: -Aldershot, Hampshire
-East Asia (including Singapore)
-Germany
-North Africa (including Libya)
Question: Which is the value of alpha that you use for your experiments?
Evidence: we set α = 0.125 (Although one can tune down α whenever the iterations do not converge, empirically this never happens on our task).
Answer: We use alpha=0.125 throughout the experiment. In general, one can heuristically pick alpha: for example, starting with a big alpha, and halve whenever the maximum number of allowed iterations is reached.
Question: From the passage provided, what is the name of the group that the player character is a part of?
Evidence: Elden Ring takes place in the Lands Between, a fictional landmass ruled over by several demigods. It was previously ruled over by the immortal Queen Marika, who acted as keeper of the Elden Ring, a powerful force that manifested as the physical concept of order. When Marika eventually shattered the Elden Ring and disappeared, her demigod children began warring over pieces of the Ring in an event called the Shattering. Each demigod possesses a shard of the Ring called a Great Rune, which corrupts them with power. In the game, the player character is a Tarnished, one of a group of exiles from the Lands Between who are summoned back after the Shattering. As one of the Tarnished, the player must traverse the realm to repair the Elden Ring and become the Elden Lord.
Answer: The player character is a Tarnished.
Question: What is the best way to store food?
Answer: Different food requires different forms of storage. It is important to check the labels for your food and follow the instructions carefully. Non-perishable food in well sealed containers can be stored in the pantry. Perishable food should be sealed and placed in the fridge for short-term storage or freezer for long-term storage.
Question: Name some titles from the Goosebumps series.
Answer: Welcome to Dead House, Monster Blood, Say Cheese and Die!, The Cuckoo Clock of Doom, Revenge of the Lawn Gnomes, The Horror at Camp Jellyjam
Question: What is the hottest planet in the solar system?
Answer: Venus is the hottest planet in the solar system.  Its surface is hotter than the inside of an oven. Venus is covered in a blanket of thick, yellow gas, 96.5% Carbon Dioxide, which traps heat from the Sun without letting it escape.  Hence Venus can't cool down.
Question: Please summarize the main argument of this paragraph from Woodrow Wilson's speech to Congress asking them to declare war on Germany.
Evidence: When I addressed the Congress on the 26th of February last, I thought that it would suffice to assert our neutral rights with arms, our right to use the seas against unlawful interference, our right to keep our people safe against unlawful violence. But armed neutrality, it now appears, is impracticable... Armed neutrality is ineffectual enough at best; in such circumstances and in the face of such pretensions it is worse than ineffectual: it is likely only to produce what it was meant to prevent; it is practically certain to draw us into the war without either the rights or the effectiveness of belligerents. There is one choice we cannot make, we are incapable of making: we will not choose the path of submission and suffer the most sacred rights of our nation and our people to be ignored or violated. The wrongs against which we now array ourselves are no common wrongs; they cut to the very roots of human life.
Answer: Wilson thought neutrality was impractical, and would actually lead into America more likely being attacked by Germany because what they were doing threatened all of Western civilization. He thought the United States should enter the war on its own terms.
Question: Are these companies private or public
Answer: Tesla, Amazon, Uber, Microsoft, Facebook
Question: what previous systems were compared to?
Evidence: Tables TABREF15 and TABREF16 compare results from TagLM with previously published state of the art results without additional labeled data or task specific gazetteers. Tables TABREF17 and TABREF18 compare results of TagLM to other systems that include additional labeled data or gazetteers. In both tasks, TagLM establishes a new state of the art using bidirectional LMs (the forward CNN-BIG-LSTM and the backward LSTM-2048-512).
FLOAT SELECTED: Table 1: Test set F1 comparison on CoNLL 2003 NER task, using only CoNLL 2003 data and unlabeled text.
FLOAT SELECTED: Table 2: Test set F1 comparison on CoNLL 2000 Chunking task using only CoNLL 2000 data and unlabeled text.
FLOAT SELECTED: Table 3: Improvements in test set F1 in CoNLL 2003 NER when including additional labeled data or task specific gazetteers (except the case of TagLM where we do not use additional labeled resources).
FLOAT SELECTED: Table 4: Improvements in test set F1 in CoNLL 2000 Chunking when including additional labeled data (except the case of TagLM where we do not use additional labeled data).
Tables TABREF15 and TABREF16 compare results from TagLM with previously published state of the art results without additional labeled data or task specific gazetteers. Tables TABREF17 and TABREF18 compare results of TagLM to other systems that include additional labeled data or gazetteers. 
FLOAT SELECTED: Table 1: Test set F1 comparison on CoNLL 2003 NER task, using only CoNLL 2003 data and unlabeled text.
FLOAT SELECTED: Table 2: Test set F1 comparison on CoNLL 2000 Chunking task using only CoNLL 2000 data and unlabeled text.
FLOAT SELECTED: Table 3: Improvements in test set F1 in CoNLL 2003 NER when including additional labeled data or task specific gazetteers (except the case of TagLM where we do not use additional labeled resources).
FLOAT SELECTED: Table 4: Improvements in test set F1 in CoNLL 2000 Chunking when including additional labeled data (except the case of TagLM where we do not use additional labeled data).
Answer: Chiu and Nichols (2016), Lample et al. (2016), Ma and Hovy (2016), Yang et al. (2017), Hashimoto et al. (2016), Søgaard and Goldberg (2016)
Question: What was Nikola Poplašen's profession?
Evidence: Nikola Poplašen (Никола Поплашен; born 15 December 1951 in Sombor) is a former Bosnian Serb politician. He was the president of Republika Srpska from late 1998 to 1999. He was removed by the High Representative of Bosnia and Herzegovina, Carlos Westendorp, on 5 March 1999. The removal was enforced on 2 September 1999.

Following his removal from the presidency, he also worked as a member of the Senate of Republika Srpska. He testified as a defense witness for Radovan Karadžić in his trial.

Bosnian War
Following the outbreak of the war in Bosnia and Herzegovina, Poplašen left Sarajevo with his family to work for the newly-formed government of Republika Srpska in Pale. There he served as a member of the Advisory of Serb Democratic Party and also personally advised Radovan Karadžić. However, he left SDS in 1992 and founded the Serbian Radical Party of Republika Srpska. Subsequently, he worked as a commissioner for the government of Republika Srpska in Vogošća up to December 1992. He saw combat and was formally given the title of a Chetnik Vojvoda by Vojislav Šešelj.
Answer: Nikola Poplašen was a Bosnian Serb politician, president of the Republika Srpska from late 1998 to 1999.
Question: How about the number of objects in training and testing (N_train)?
Evidence: From Table we observe the superiority of SpaLoc in terms of accuracy and efficiency. SpaLoc achieves perfect accuracy on test set. And when handling large input domains (N train = 2000), SpaLoc works well because of the sampling techniques, while most baselines cause out-of-memory errors.
Sparsity. In Fig., we show the number of non-zero elements in SpaLoc's intermediate groundings versus the size of input domains on HasSister, Grandparent and Uncle. We fit a cubic polynomial equation f to the data points to illustrate the learned inference complexity of SpaLoc.
The SpaLoc we use in these three datasets has an arity of 3 so the maximum capacity of the model is Θ(N 3 ). However, the memory complexity of SpaLoc converges to the optimal algorithm complexity of these tasks , which is O(N 2 ). In comparison, the memory complexity of original dense NLMs will be fixed to Θ(N 3 ) when the model architecture is fixed. We evaluate SpaLoc on the real-world knowledge-graph inductive reasoning benchmarks proposed in GraIL, whose training and evaluation sets are disjoint sub-graphs extracted from WN18RR, FB15k-237, and NELL-995. For each knowledge graph, there are four versions of inductive datasets with increasing sizes.
(Ntrain = 2000), SpaLoc works well because of the sampling techniques, while most baselines cause out-of-memory errors.
Answer: In the original paper, we used two training and testing settings. Column 1 (train on , test on ), Column 2 (train on , test on ). We fixed the test graph size to 100 because our baselines MemNN and NLM can not be applied (in testing) to larger graphs. We have clarified this in the paper.
Question: Why would a software engineer want to transition into product management?
Answer: There could be many reasons. Typical ones include:
First, they may want to increase impact in business or strategy decisions. A product manager usually owns the product's direction and roadmap, and also responsible for the end business results. 
Second, they may want to work more closely with customers and work with people in general. A product manager needs to talk to customers very often to really understand their needs and requirements. A product manager also needs to work across functions to push a project forward so they need to influence others.
Third, also note there are some commonalities between software engineer and product manager, they both build stuff and understand technologies, so for a software engineer it's usually easier to transition into product management than other functions because many skills are still relevant.
Question: According to the passage, mention some of Taylor’s hit songs after signing for Republic records.
Evidence: Taylor Alison Swift (born December 13, 1989) is an American singer-songwriter. Her genre-spanning discography, songwriting abilities and artistic reinventions have received critical praise and wide media coverage. Born in West Reading, Pennsylvania, Swift moved to Nashville at age 14 to become a country artist. She signed a songwriting deal with Sony/ATV Music Publishing in 2004 and a recording contract with Big Machine Records in 2005. Her 2006 self-titled debut album made her the first female country artist to write a U.S. platinum-certified album.
Swift's next albums, Fearless (2008) and Speak Now (2010), explored country pop. The former's "Love Story" and "You Belong with Me" were the first country songs to top the U.S. pop and all-genre airplay charts, respectively. She experimented with rock and electronic styles on Red (2012), which featured her first Billboard Hot 100 number-one song, "We Are Never Ever Getting Back Together", and eschewed her country image in her synth-pop album, 1989 (2014), supported by chart-topping songs "Shake It Off", "Blank Space", and "Bad Blood". Media scrutiny inspired the urban-flavored Reputation (2017) and its number-one single "Look What You Made Me Do".
Exiting Big Machine, Swift signed with Republic Records in 2018 and released her seventh studio album, Lover (2019), followed by the autobiographical documentary Miss Americana (2020). She ventured into indie folk and alternative rock in her 2020 albums Folklore and Evermore, whose singles "Cardigan" and "Willow" topped the Hot 100. Swift began re-recording her first six albums after a dispute over their masters, re-releasing two in 2021—Fearless (Taylor's Version) and Red (Taylor's Version). The latter's "All Too Well (10 Minute Version)" became the longest song to top the Hot 100. Her 2022 album Midnights and single "Anti-Hero" broke all-time streaming records. Swift has directed music videos and films, such as All Too Well: The Short Film (2021), and played supporting roles in others.
Having sold over 200 million records globally, Swift is one of the best-selling musicians in history. She is the most streamed woman on Spotify and the only act to have five albums open with over one million copies sold in the US. Among her accolades are 12 Grammy Awards, including three Album of the Year wins; an Emmy Award; 40 American Music Awards; 29 Billboard Music Awards; three IFPI Global Recording Artist of the Year awards; and 92 Guinness World Records. Swift has been featured in rankings such as Rolling Stone's 100 Greatest Songwriters of All Time, Billboard's Greatest of All Time Artists, the Time 100 and Forbes Celebrity 100. Honored with titles such as Artist of the Decade and Woman of the Decade, Swift is an advocate for artists' rights and women's empowerment. Her music is credited with influencing a generation of singers and songwriters.
Answer: Some of Taylor Swift’s greatest hits after signing with Republic records include:
​1."Cardigan" 
2."Willow"
3."All Too Well (10 Minute Version)"
4."Anti-Hero"
Question: how to give a great presentation
Answer: Giving a great presentation requires a combination of effective planning, engaging delivery, and thoughtful audience engagement. Here are some tips to help you create and deliver a successful presentation:

Understand your audience: Before creating your presentation, research your audience to understand their interests, knowledge level, and expectations. This will help you tailor your content to their needs and make your presentation more engaging.

Plan your content: Create a clear and concise outline that covers the main points you want to make. Use visuals, such as slides or videos, to support your message, but don't overload your presentation with too many images or text.

Practice, practice, practice: Rehearse your presentation several times, preferably in front of a small audience or mirror. This will help you feel more confident and comfortable with your delivery.

Use engaging delivery techniques: Use your voice, body language, and eye contact to engage your audience. Vary your tone and pace to keep your audience interested and use gestures and movements to emphasize your points.

Encourage audience participation: Ask questions, invite feedback, and create opportunities for your audience to engage with you. This will help keep their attention and create a more interactive presentation.

Be authentic and passionate: Show your enthusiasm for your topic and let your personality shine through. Your audience will be more engaged if they can see that you're passionate about what you're presenting.

Close with a strong ending: Summarize your main points and leave your audience with a clear call to action or a memorable takeaway. This will help them remember your presentation and take action on your message.

By following these tips, you can give a great presentation that engages and informs your audience. Remember to practice, be yourself, and have fun!
Question: In which year did the Portuguese first arrived in Brazil?
Answer: The Portuguese first arrived in Brazil in the year of 1500.
Question: Classify the following beverages that are typically served as either carbonated or non-carbonated: milk, soda, orange juice, beer, lemonade, coffee, sports drinks
Answer: Carbonated: soda, beer
Non-carbonated: milk, orange juice, lemonade, coffee, sports drinks
Question: What classification task was used to evaluate the cross-lingual adaptation method described in this work?
Evidence: Paraphrase Identification (PI) is the task of determining whether two sentences are paraphrase or not. It is considered a binary classification task. The best mono-lingual methods often achieve about 85% accuracy over this corpus BIBREF14, BIBREF18. Filice et al. BIBREF14 extended the tree kernels described in the previous section to operate on text pairs. The underlying idea is that this task is characterized by several syntactic/semantic patterns that a kernel machine can automatically capture from the training material. We can assess a text pair as a paraphrase if it shows a valid transformation rule that we observed in the training data. The following example can clarify this concept. A simple paraphrase rewriting rule is the active-passive transformation, such as in “Federer beat Nadal” and “Nadal was defeated by Federer”. The same transformation can be observed in other paraphrases, such as in “Mark studied biology” and “Biology was learned by Mark”. Although these two pairs of paraphrases have completely different topics, they have a very similar syntactic structure.
In this section, the experimental analysis of the proposed models is presented. We have implemented the cross-lingual variant of kernel functions for PI and RE tasks as described in section SECREF3 and measured the accuracy of models by testing them on the parallel data set.
Paraphrase Identification (PI) is the task of determining whether two sentences are paraphrase or not.
We have implemented the cross-lingual variant of kernel functions for PI and RE tasks as described in section SECREF3 and measured the accuracy of models by testing them on the parallel data set.
Answer: The answers are shown as follows:
* Paraphrase Identification
Question: Classify the following colors as primary or not primary: Red, blue, violet, white, black, green, yellow, orange
Answer: The primary colors are red, blue and green. The non-primary colors are violet, white, black, yellow and orange.
Question: What are the top 10 US ski vacation destinations?
Answer: The western United States is considered to have the best skiing destinations because of the size of its mountains and the quality of it snow conditions. Nevertheless, given its proximity to large urban populations, the resorts of the northeast United State also sees large numbers of visitors each winter. The list below includes top ski destinations from both regions.

Vail, Colorado
Tahoe, California (this area includes a number of large resorts like Palisades, Heavenly, Sugar Bowl, and Northstar)
Taos, New Mexico
Park City, Utah
Stowe, Vermont 
Jackson Hole, Wyoming
Killington, Vermont
Sugarloaf, Maine
Aspen, Colorado
Sun Valley, Idaho
Question: What do they use to refine the representation of the word pairs?
Evidence: After we obtain the representation of the source-target word pair by the convolution layer, we follow a similar architecture as BIBREF6 to refine the representation of the word pairs using feed-forward and recurrent networks.
Two feed-forward layers of size 400 with rectified linear units (ReLU; BIBREF9 );
One bi-directional gated recurrent unit (BiGRU; BIBREF10 ) layer with hidden size 200, where the forward and backward hidden states are concatenated and further normalized by layer normalization BIBREF11 .
Two feed-forward layers of hidden size 200 with rectified linear units;
One BiGRU layer with hidden size 100 using the same configuration of the previous BiGRU layer;
Two feed-forward layers of size 100 and 50 respectively with ReLU activation.
We concatenate the 31 baseline features extracted by the Marmot toolkit with the last 50 feed-forward hidden features. The baseline features are listed in Table TABREF13 . We then apply a softmax layer on the combined features to predict the binary labels.
After we obtain the representation of the sourcetarget word pair by the convolution layer, we follow a similar architecture as (Martins et al., 2017) to refine the representation of the word pairs using feed-forward and recurrent networks.
Answer: Feed-forward and recurrent networks.
Question: What baseline decoder do they use?
Evidence: Our baseline decoder is a standard beam search decoder BIBREF5 with several straightforward performance optimizations:
Our baseline decoder is a standard beam search decoder BIBREF5 with several straightforward performance optimizations
Answer: The answers are shown as follows:
* a standard beam search decoder BIBREF5 with several straightforward performance optimizations
Question: What conference does the Spokane Braves belong to?
Evidence: The Spokane Braves are a Junior "B" Ice Hockey team based in Spokane, Washington, United States. They are members of the Neil Murdoch Division of the Kootenay Conference of the Kootenay International Junior Hockey League (KIJHL). They play their home games at Eagles Ice-A-Rena. The Braves are the only team in the KIJHL to play in the United States. They were forced to go on hiatus at the beginning of the 20/21 season due to the US/Canada border closure.
Answer: The Spokane Braves are members of the Kootenay Conference of the Kootenay International Junior Hockey League (KIJHL).
Question: Why do people prefer Dunkin over Starbucks?
Answer: People may prefer Starbucks because the menu is more customizable with more variety and the coffee tends to be stronger. Starbucks provides more of a cafe experience while Dunkin not only focuses on their coffee but their donuts are an important piece. Others may prefer Dunkin because of the competitive pricing, less strong coffee, and more options of food to drink with your coffee.