DataHammer/scimrc huggingface dataset:
Question: How did Lesk perform word sense disambiguation?
Evidence: Lesk86 observed that concepts that are related should share more words in their respective definitions than concepts that are less connected. He was able to perform word sense disambiguation by identifying the senses of words in a sentence with the largest number of overlaps between their definitions. An overlap is the longest sequence of one or more consecutive words that occur in both definitions. BanerjeeP03 extended this idea to WordNet, but observed that WordNet glosses are often very short, and did not contain enough information to distinguish between multiple concepts. Therefore, they created a super–gloss for each concept by adding the glosses of related concepts to the gloss of the concept itself (and then finding overlaps).
PatwardhanP06 adapted this measure to second–order co–occurrence vectors. In this approach, a vector is created for each word in a concept's definition that shows which words co–occur with it in a corpus. These word vectors are averaged to create a single co-occurrence vector for the concept. The similarity between the concepts is calculated by taking the cosine between the concepts second–order vectors. LiuMPMP12 modified and extended this measure to be used to quantify the relatedness between biomedical and clinical terms in the UMLS. The work in this paper can be seen as a further extension of PatwardhanP06 and LiuMPMP12.
He was able to perform word sense disambiguation by identifying the senses of words in a sentence with the largest number of overlaps between their definitions.
Answer: By identifying the senses of words in a sentence with the largest number of overlaps between their definitions.
Question: What were the evaluation metrics used?
Evidence: The clustering performance is evaluated by comparing the clustering results of texts with the tags/labels provided by the text corpus. Two metrics, the accuracy (ACC) and the normalized mutual information metric (NMI), are used to measure the clustering performance BIBREF38 , BIBREF48 . Given a text INLINEFORM0 , let INLINEFORM1 and INLINEFORM2 be the obtained cluster label and the label provided by the corpus, respectively. Accuracy is defined as: DISPLAYFORM0
Two metrics, the accuracy (ACC) and the normalized mutual information metric (NMI), are used to measure the clustering performance BIBREF38 , BIBREF48 . 
Answer: The answers are shown as follows:
* accuracy
* normalized mutual information
Question: A square has angles of 30 degrees, 90 degrees and 150 degrees. What is the last angle in the square?
Answer: All the angles in a square must be 90 degrees. Squares cannot have 30 degree or 150 degree angles
Question: How many supervised tasks are used?
Evidence: FLOAT SELECTED: Figure 1: Our Hierarchical Network. In this network, junior tasks are supervised in lower layers, with an unsupervised task (Language Modeling) at the most senior layer.
FLOAT SELECTED: Figure 1: Our Hierarchical Network. In this network, junior tasks are supervised in lower layers, with an unsupervised task (Language Modeling) at the most senior layer.
Answer: The answers are shown as follows:
* two
Question: Identify which instrument is string or woodwind: Bassoon, Mandolin
Answer: Mandolin is string, Bassoon is woodwind.
Question: Given this paragraph about roasting peanuts to make peanut butter, what temperature are peanuts roasted using the batch method in celsius?
Evidence: The dry roasting process employs either the batch or continuous method. In the batch method, peanuts are heated in large quantities in a revolving oven at about 800 °F (430 °C). Next, the peanuts in each batch are uniformly held and roasted in the oven at 320 °F (160 °C) for about 40 to 60 minutes. This method is good to use when the peanuts differ in moisture content. In the continuous method, a hot air roaster is employed. The peanuts pass through the roaster whilst being rocked to permit even roasting. A photometer indicates the completion of dry roasting. This method is favored by large manufacturers since it can lower the rate of spoilage and requires less labor.
Answer: Peanuts are heated in a revolving oven at about 430 °C using the batch method.
Question: Why do humans seek meaning in their lives?
Answer: Every human life is a blend of joy and suffering. For some, joy comes more often. But for many, suffering can come to dominate their lives, due to abuse, the loss of loved ones, difficult relationships, mental illnesses, or disability. By finding meaning in ones life, the hard times full of suffering can be tempered with hope: for a better life for your children, for a better world, or a better after-life. Without finding something to give your life meaning, you risk falling into nihilism, anger, and despair. And those feelings tend to set you on a self-reinforcing path, and drag others down with you. While people often start looking for meaning in their lives when they encounter suffering to explain that suffering, it is in embracing a purpose that you can find hope and reduce the suffering in the world.
Question: Give me a summary of Dataphor based on this text
Evidence: Dataphor is an open-source truly-relational database management system (RDBMS) and its accompanying user interface technologies, which together are designed to provide highly declarative software application development. The Dataphor Server has its own storage engine or it can be a virtual, or federated, DBMS, meaning that it can utilize other database engines for storage.

Dataphor has been praised for its adherence to relational principles, more closely so than any SQL product.
Answer: Dataphor is an open-source database management system that provides a declarative software application development that has been praised for its adherence to relational principles. The Dataphor Server has its own storage engine but it can also utilize other database engines for storage that are virtual or federated DBMS.
Question: What are the best sports movies?
Answer: The Rocky movies are quite popular, especially the original Rocky.  42, Facing the Giants, The Natural, Moneyball, Friday Night Lights, Remember the Titans, Hoosiers, Rudy, Tin Cup, The Blind Side, etc are also worthy of recognition.  Many movie fans would also consider movies like Caddyshack, even though that's more of a Comedy, yet evolves around a golf match.
Question: How large are elephant eggs?
Answer: Elephants do not lay eggs. They give birth to live young.
Question: Give me a quick exercise I can do every day
Answer: Choose a body-weight exercise of your choice - for example push ups, squats or lunges. Set a timer for 2 minutes. Do as many repetitions as you can before the 2 minutes are up. Take break as often as you need. Do this every day and track the number of repetitions.
Question: What are the contributions of this paper?
Evidence: - !`Socorro, me ha picado una víbora!
- ?`Cobra?
- No, gratis.[5]
Google Translation:
- Help, I was bitten by a snake!
- Does it charge?
- Not free.
[4]https://github.com/bfarzin/haha_2019_final, Accessed on 19 June 2019 [5]https://www.fluentin3months.com/spanish-jokes/, Accessed on 19 June 2019
Humor does not translate well because it often relies on double-meaning or a subtle play on word choice, pronunciation, or context. These issues are further exacerbated in areas where space is a premium (as frequent on social media platforms), often leading to usage and development of shorthand, in-jokes, and self-reference. Thus, building a system to classify the humor of tweets is a difficult task. However, with transfer-learning and the Fast.ai library, we can build a high quality classifier in a foreign language. Our system outperforms a Naive Bayes Support Vector Machine (NBSVM) baseline, which is frequently considered a "strong baseline" for many Natural Language Processing (NLP) related tasks (see Wang et al BIBREF0 ).
Rather than hand-crafted language features, we have taken an "end to end" approach building from the raw text to a final model that achieves the tasks as presented. Our paper lays out the details of the system and our code can be found in a GitHub repository for use by other researchers to extend the state of the art in sentiment analysis.
Our contributions are three fold. First, we apply transfer-learning of a language model based on a larger corpus of tweets. Second, we use a label smoothed loss, which provides regularization and allows full training of the final model without gradual unfreezing. Third, we select the best model for each task based on cross-validation and 20 random-seed initialization in the final network training step.
Answer: The contributions are three fold. First, the authors apply transfer-learning of a language model based on a larger corpus of tweets. Second, the authors use a label smoothed loss, which provides regularization and allows full training of the final model without gradual unfreezing. Third, the authors select the best model for each task based on cross-validation and 20 random-seed initialization in the final network training step.
Question: What are top 3 cities to move in the US with no state tax
Answer: Most popular cities where people have been recently moving to among the states that don't have any state tax in the US are: 
1. Miami, FL
2. Seattle, WA
3. Austin, TX

However, if you can tell me more in terms of what your professional interests and outdoor activities you like, I can tailor the response further
Question: Is it the first study comprehensively examining the factors behind instability?
Evidence: Word embeddings are low-dimensional, dense vector representations that capture semantic properties of words. Recently, they have gained tremendous popularity in Natural Language Processing (NLP) and have been used in tasks as diverse as text similarity BIBREF0 , part-of-speech tagging BIBREF1 , sentiment analysis BIBREF2 , and machine translation BIBREF3 . Although word embeddings are widely used across NLP, their stability has not yet been fully evaluated and understood. In this paper, we explore the factors that play a role in the stability of word embeddings, including properties of the data, properties of the algorithm, and properties of the words. We find that word embeddings exhibit substantial instabilities, which can have implications for downstream tasks.
Using the overlap between nearest neighbors in an embedding space as a measure of stability (see sec:definingStability below for more information), we observe that many common embedding spaces have large amounts of instability. For example, Figure FIGREF1 shows the instability of the embeddings obtained by training word2vec on the Penn Treebank (PTB) BIBREF4 . As expected, lower frequency words have lower stability and higher frequency words have higher stability. What is surprising however about this graph is the medium-frequency words, which show huge variance in stability. This cannot be explained by frequency, so there must be other factors contributing to their instability.
In the following experiments, we explore which factors affect stability, as well as how this stability affects downstream tasks that word embeddings are commonly used for. To our knowledge, this is the first study comprehensively examining the factors behind instability.
To our knowledge, this is the first study comprehensively examining the factors behind instability.
Answer: Yes.
Question: Based on the following paragraph on paleontology, what's the difference between paleontology and archaeology?
Evidence: Paleontology lies on the border between biology and geology, but differs from archaeology in that it excludes the study of anatomically modern humans. It now uses techniques drawn from a wide range of sciences, including biochemistry, mathematics, and engineering. Use of all these techniques has enabled paleontologists to discover much of the evolutionary history of life, almost all the way back to when Earth became capable of supporting life, nearly 4 billion years ago. As knowledge has increased, paleontology has developed specialised sub-divisions, some of which focus on different types of fossil organisms while others study ecology and environmental history, such as ancient climates.
Answer: Paleontology differs from archaeology in that archaeology includes the study of anatomically modern humans whereas paleontology does not.
Question: How you can loose fat
Answer: 1. Take a warm lemon water 
2. Better take good breakfast and lunch
3. Do not take proper Dinner .
4. Finish all eating before 5 PM
5. No Suger
Question: Which of the following vehicles are cars and which are trucks: Toyota Tacoma, Toyota Prius, Ford F-150, Honda Civic, Nissan Frontier,  Hyundai Accent, Chevrolet Corvette, Mazda Miata
Answer: The Toyota Tacoma, Ford F-150 and Nissan Frontier are all trucks.  The Toyota Prius, Honda Civic, Hyundai Accent, Chevrolet Corvette and Mazda Miata are all cars.
Question: How is pickleball different from tennis?
Answer: Pickleball is easy to learn. Compared to tennis, it requires less strength and skills to play. It also takes up less space to set up a pickleball court. It does not create forearm tightness like tennis. It is a good sport for all ages.
Question: How did the select the 300 Reddit communities for comparison?
Evidence: Our full dataset consists of all subreddits on Reddit from January 2013 to December 2014, for which there are at least 500 words in the vocabulary used to estimate our measures, in at least 4 months of the subreddit's history. We compute our measures over the comments written by users in a community in time windows of months, for each sufficiently active month, and manually remove communities where the bulk of the contributions are in a foreign language. This results in 283 communities ( INLINEFORM0 ), for a total of 4,872 community-months ( INLINEFORM1 ).
Our full dataset consists of all subreddits on Reddit from January 2013 to December 2014, for which there are at least 500 words in the vocabulary used to estimate our measures, in at least 4 months of the subreddit's history. We compute our measures over the comments written by users in a community in time windows of months, for each sufficiently active month, and manually remove communities where the bulk of the contributions are in a foreign language. 
Answer: They selected all the subreddits from January 2013 to December 2014 with at least 500 words in the vocabulary and at least 4 months of the subreddit's history. They also removed communities with the bulk of the contributions are in foreign language.
Question: Why do we say tip of the iceberg?
Answer: Majority of Icebergs size/mass tends to be submerged under water. So, their size is misleading when seen from above surface. 
So the expression tip of the iceberg refers to a big issue when we see only a small part of it.
Question: What is Dragon Ball Z?
Evidence: Dragon Ball Z is a Japanese anime television series produced by Toei Animation. Part of the Dragon Ball media franchise, it is the sequel to the 1986 Dragon Ball anime series and adapts the latter 325 chapters of the original Dragon Ball manga series created by Akira Toriyama. The series aired in Japan on Fuji TV from April 1989 to January 1996 and was later dubbed for broadcast in at least 81 countries worldwide.

Dragon Ball Z continues the adventures of Goku in his adult life as he and his companions defend the Earth against villains including aliens (Vegeta, Frieza), androids (Cell), and magical creatures (Majin Buu). At the same time, the story parallels the life of his son, Gohan, as well as the development of his rivals, Piccolo and Vegeta.
Answer: Dragon Ball Z is a manga and an anime about an alien man who comes to Earth named Goku. It picks up the show from its prequel Dragon Ball and is analogous to Superman. Goku  is a Saiyan, a race of fighting aliens, and as an adult, he and his friends, the Z fighters, defend the Earth from other Saiyans such as Raditz and Vegeta, alien overlords such as Frieza, androids such as Cell, and magical creatures such as Majin Buu.
Question: Classify the following shapes as either two dimensional or three dimensional: cube, circle, sphere, triangle, cone, rhombus, square, and pyramid.
Answer: A cube, sphere, cone, and pyramid are three dimensional.  A circle, triangle, rhombus, and square are two dimensional.
Question: What does the author find out about discourse phenomena in this paper?
Evidence: Machine translation has made remarkable progress, and studies claiming it to reach a human parity are starting to appear BIBREF0. However, when evaluating translations of the whole documents rather than isolated sentences, human raters show a stronger preference for human over machine translation BIBREF1. These findings emphasize the need to shift towards context-aware machine translation both from modeling and evaluation perspective.
Most previous work on context-aware NMT assumed that either all the bilingual data is available at the document level BIBREF2, BIBREF3, BIBREF4, BIBREF5, BIBREF6, BIBREF7, BIBREF8, BIBREF9, BIBREF10 or at least its fraction BIBREF11. But in practical scenarios, document-level parallel data is often scarce, which is one of the challenges when building a context-aware system.
We introduce an approach to context-aware machine translation using only monolingual document-level data. In our setting, a separate monolingual sequence-to-sequence model (DocRepair) is used to correct sentence-level translations of adjacent sentences. The key idea is to use monolingual data to imitate typical inconsistencies between context-agnostic translations of isolated sentences. The DocRepair model is trained to map inconsistent groups of sentences into consistent ones. The consistent groups come from the original training data; the inconsistent groups are obtained by sampling round-trip translations for each isolated sentence.
To validate the performance of our model, we use three kinds of evaluation: the BLEU score, contrastive evaluation of translation of several discourse phenomena BIBREF11, and human evaluation. We show strong improvements for all metrics.
We analyze which discourse phenomena are hard to capture using monolingual data only. Using contrastive test sets for targeted evaluation of several contextual phenomena, we compare the performance of the models trained on round-trip translations and genuine document-level parallel data. Among the four phenomena in the test sets we use (deixis, lexical cohesion, VP ellipsis and ellipsis which affects NP inflection) we find VP ellipsis to be the hardest phenomenon to be captured using round-trip translations.
Our key contributions are as follows:
we introduce the first approach to context-aware machine translation using only monolingual document-level data;
our approach shows substantial improvements in translation quality as measured by BLEU, targeted contrastive evaluation of several discourse phenomena and human evaluation;
we show which discourse phenomena are hard to capture using monolingual data only.
we show which discourse phenomena are hard to capture using monolingual data only.
Answer: Which discourse phenomena are hard to capture using monolingual data only.
Question: Steps to choose right colour for occasion
Answer: Blue is  the most recommended interview outfit
Warm colours like yellow, orange, or red are good for Company events
Bold colour like red or blue are good for parties
For court and legal the colours  are blue, grey, and brown.
Question: What is biathlon?
Answer: Biathlon is a winter sport that mixes nordic skying and shooting. Depending on the format, athletes ski a loop 3 or 5 times, and shoot 5 targets between each. The targets are 50 meters away. For each missed target, the participant will ski one 150 meter long penalty loop. The winner is the athlete who completes the 3 or 5 loops first.
Question: Given this paragraph that describes the country of Peru, what is its population size?
Evidence: Peru, officially the Republic of Peru (Spanish: República del Perú (help·info)), is a country in western South America. It is bordered in the north by Ecuador and Colombia, in the east by Brazil, in the southeast by Bolivia, in the south by Chile, and in the south and west by the Pacific Ocean. Peru is a megadiverse country with habitats ranging from the arid plains of the Pacific coastal region in the west to the peaks of the Andes mountains extending from the north to the southeast of the country to the tropical Amazon basin rainforest in the east with the Amazon River. Peru has a population of over 34 million, and its capital and largest city is Lima. At 1,285,216 km2 (496,225 sq mi), Peru is the 19th largest country in the world, and the third largest in South America.
Answer: Peru has a population of over 34 million people.
Question: What are some ways to avoid social engineering attacks?
Answer: 1. Educate yourself and your employees: Train yourself and your employees to recognize social engineering attacks and how to respond to them.
2. Be suspicious of unsolicited messages: If you receive a message that you were not expecting, be suspicious and verify the sender's identity before responding.
3. Use strong passwords and two-factor authentication: Use strong passwords and enable two-factor authentication to protect your accounts from unauthorized access.
4. Keep your software up to date: Keep your software and operating system up to date with the latest security patches to prevent vulnerabilities that attackers can exploit.
5. Use anti-virus and anti-malware software: Use anti-virus and anti-malware software to protect your devices from malicious software that can be used in social engineering attacks.
6. Be cautious of public Wi-Fi: Avoid using public Wi-Fi networks for sensitive activities, such as online banking or accessing confidential information.
Question: What video game console can you play ATV Offroad Fury 3 on?
Evidence: ATV Offroad Fury 3 is a racing video game developed by Climax Racing and published by Sony Computer Entertainment for PlayStation 2.

The game was succeeded by ATV Offroad Fury 4 in 2006.
Answer: ATV Offroad Fury 3 was published by Sony Computer Entertainment for the PlayStation 2 video game console.
Question: How popular is K-pop around the world?
Evidence: Modern K-pop "idol" culture began in the 1990s, as K-pop idol music grew into a subculture that amassed enormous fandoms of teenagers and young adults. After a slump in early idol music, from 2003, TVXQ and BoA started a new generation of K-pop idols that broke the music genre into the neighboring Japanese market and continue to popularize K-pop internationally today. With the advent of online social networking services and South Korean TV shows, the current spread of K-pop and South Korean entertainment, known as the Korean Wave, is seen not only in East Asia and Southeast Asia, but also in Pakistan, Bangladesh, India, Latin America, North Africa, Southern Africa and East Africa, the Middle East and throughout the Western world, gaining an international audience.
Answer: K-pop is a popular music genre that has a fan following across the whole world. It spread to worldwide fandom with the advent and proliferation of online social networking services.
Question: What are three cities on the west coast of Florida?
Answer: Three cities on the west coast of Florida are Naples, Tampa, and Sarasota.
Question: Who is Linkin Park
Answer: Linkin Park is an American rock band from Agoura Hills, California. The band's current lineup comprises vocalist/rhythm guitarist/keyboardist Mike Shinoda, lead guitarist Brad Delson, bassist Dave Farrell, DJ/turntablist Joe Hahn and drummer Rob Bourdon, all of whom are founding members. Vocalists Mark Wakefield and Chester Bennington are former members of the band. Categorized as alternative rock, Linkin Park's earlier music spanned a fusion of heavy metal and hip hop, while their later music features more electronica and pop elements.
Question: Give me an idea of some cold beverages to drink on a hot day
Answer: Some cold beverages to drink on a hot day would be iced tea, lemonade, a milkshake, or water. If you enjoy alcohol, you could drink a refrigerated beer or a wine that is served cold, like sangria or rosé.