DataHammer/scimrc huggingface dataset:
Question: What is the meaning of life?
Answer: The world is a vast, beautiful and complex place. The meaning of life is to find loved ones to join us on this journey; to be present in the short time we have on the earth. The meaning of life is to experience living. To lay in a dark field, watching the stars glow. To stand in the pouring rain, feeling giant drops drip down your chin. To watch a lightning storm and let the thunder rumble through your chest. To witness a child throw their head back with peels of laughter. The meaning of life is to wonder. To gaze upon the great abyss and ask the "how" and "why" of the universe. The meaning of life is to leave the earth the same, or slightly better than you were given. To stand up for injustice. To protect children. To make the day slightly easier for someone. Meaning can be found in any moment in your time here on earth; go live it!
Question: Why do cats lick themselves
Answer: Cats lick to show affection, to bond with you and other cats, and to groom themselves. Licking excessively can signal your cat has a medical issue, an allergy, or stress and anxiety. You may need to take your cat to the vet for evaluation and treatment if they develop bald spots from grooming too much
Question: What's the first thing you do when you wake up in the morning ?
Answer: Open my eyes
Question: How do I turn on my Tesla Model Y?
Answer: When you open a door, Tesla Model Y powers on the touchscreen and you can operate all controls. To drive Model Y:

1. PRESS THE BRAKE PEDAL – Model Y powers on and is ready to drive.
2. SELECT A GEAR – Move the drive stalk all the way down for Drive and all the way up for Reverse.

NOTE: If the PIN to Drive feature is enabled, you must also enter a valid PIN on the touchscreen before you can drive Model Y. Everything you need to know when driving Model Y displays on the touchscreen.

Drive Disabled – Requires Authentication

If Model Y does not detect a key when you press the brake (an authenticated phone is not detected, or 30 seconds has passed since you used the key card), the touchscreen displays a message telling you that driving requires authentication. If you see this message, place the key card behind the cup holders on the top of the center console where the RFID transmitter can read it. The 30 second authentication window restarts and you can start Model Y by pressing the brake pedal.

A number of factors can affect whether Model Y can detect an authenticated phone (for example, the phone’s battery is low or dead and is no longer able to communicate using Bluetooth). Always keep your authenticated phone and a key card with you. After driving, your authenticated phone or key card is needed to restart Model Y after it powers off. And when you leave Model Y, you must bring your authenticated phone or key card with you to lock Model Y, either manually or automatically.
Question: Did the MLM-based models dominated in all cases perform better than word2vec and the auto-regressive models?
Evidence: As can be seen in Table TABREF7, pre-trained language models are indeed highly capable of generating sentence representations that cluster by domains, resulting in up to 87.66%, 89.04% and 89.94% accuracy when using k=5, k=10 and k=15 clusters, respectively, across 10,000 sentences in 5 domains. We find these scores remarkably high given our straight-forward average-pooling strategy and that no domain-supervision was involved in the process of learning the pre-trained representations. Figure FIGREF15 also demonstrates the quality of the obtained clusters in 2D using the BERT-base model, where the ellipses describe the mean and variance parameters learned for each cluster by the GMM with $k=5$.
We note that some classes of models did better than others: while all vector-based models did far better than the random and LDA baselines, the MLM-based models dominated in all cases over word2vec and the auto-regressive models. This may be explained by the fact that the MLM-based models use the entire sentence context when generating the representations for each token, while the auto-regressive models only use the past context, and word2vec uses a limited window context. Using PCA improved performance in most cases and especially for the auto-regressive models, although the results for the MLMs remain high in both cases – suggesting that these models encode the information very differently.
We note that some classes of models did better than others: while all vector-based models did far better than the random and LDA baselines, the MLM-based models dominated in all cases over word2vec and the auto-regressive models.
Answer: Yes.
Question: What are the Australian men's and women's soccer teams called?
Evidence: Soccer, also known as football, is the most played outdoor club sport in Australia, and ranked in the top ten for television audience as of 2015. The national governing body of the sport is Football Australia (FA), which until 2019, organised the A-League Men, A-League Women, and still organises the Australia Cup, as well as the men's and women's national teams (known as the Socceroos and the Matildas, respectively). The FA comprises nine state and territory member federations, which oversee the sport within their respective region.
Answer: The men's national team is called the Socceroos and the women's national team is called the Matildas.
Question: What is database meaning?
Answer: A database is an organized collection of structured information, or data, typically stored electronically in a computer system. A database is usually controlled by a database management system (DBMS).
Question: What embedding algorithm and dimension size are used?
Evidence: We tokenize the data using Spacy BIBREF10 . We use 300 Dimensional Glove Common Crawl Embeddings (840B Token) BIBREF11 and fine tune them for the task. We experimented extensively with pre-processing variants and our results showed better performance without lemmatization and lower-casing (see supplement for details). We pad each input to 50 words. We train using RMSprop with a learning rate of .001 and a batch size of 512. We add dropout with a drop rate of 0.1 in the final layer to reduce overfitting BIBREF12 , batch size, and input length empirically through random hyperparameter search.
We use 300 Dimensional Glove Common Crawl Embeddings (840B Token) BIBREF11 and fine tune them for the task
Answer: The answers are shown as follows:
* 300 Dimensional Glove
Question: what is oracle?
Answer: Oracle is a company that offers a scalable and robust database management solution.  Prior to the cloud migration era Oracle offered this database management as an on-premise solution using physical servers.  Their database helped thousands of businesses manage their data, implement data analysis, secure their data, and allow company and business applications to access data for decision analysis based on historical data.
Question: Where is the Hawkeye Creek Bridge located
Evidence: Hawkeye Creek Bridge is a historic structure located in a rural area northeast of Mediapolis, Iowa, United States. The Des Moines County Board of Supervisors contracted with Clinton Bridge and Iron Works on September 23, 1909, to design and build this bridge. It is an 80-foot (24 m) span that carries traffic of a gravel road over Hawkeye Creek. The structure is a single rigid-connected Pratt through truss that is supported by concrete abutments. It basically remains in an unaltered condition. The bridge was listed on the National Register of Historic Places in 1998.
Answer: The Hawkeye Creek Bridge is a historic structure located in a rural area northeast of Mediapolis, Iowa, United States. The Des Moines County Board of Supervisors contracted with Clinton Bridge and Iron Works on September 23, 1909, to design and build this bridge. 

It is an 80-foot (24 m) span that carries traffic of a gravel road over Hawkeye Creek. The structure is a single rigid-connected Pratt through truss that is supported by concrete abutments. It basically remains in an unaltered condition. The bridge was listed on the National Register of Historic Places in 1998.
Question: Abel Prize  is given in which field ?
Answer: Abel Prize is given in the field of Mathematics
Question: I'm writing a blog post on the history of video  games in the 80's, 90's and 00's. I plan to include these games in the analysis: Mortal Kombat, Doom, Final Fantasy VII and Myst, World of Warcraft, Grand Theft Auto, Populous, SimCity, Final Fantasy X and Guitar Hero. Please group these games based on the decade they were first released.
Answer: 80s: Populous and SimCity	
90s: Mortal Kombat, Doom, Final Fantasy VII and Myst 	
00's: World of Warcraft, Grand Theft Auto, Final Fantasy X and Guitar Hero
Question: How to survive Chicago winter?
Answer: Chicago winters could be brutal, especially in the months of December, January, and February. Wearing layered cloths could really help resist the chilly winters. Chicago weather is very fluctuating during winters as well. Check the weather report everyday and make sure to avoid traveling during blizzards or snowstorms. Seasonal change disorder could be a real pain, as Chicago gets a lot of less sunlight during winter and hence invest on therapy lamps. Furthermore, take a trip to somewhere warmer down south to avoid winters altogether.
Question: What automatic measures do they use to estimate the quality of topic models?
Evidence: To estimate the quality of topic models, we use two main automatic measures: topic coherence and kernel uniqueness. For human content analysis, measures of topic coherence and kernel uniqueness are both important and complement each other. Topics can be coherent but have a lot of repetitions. On the other hand, generated topics can be very diverse, but incoherent within each topic.
Topic coherence is an automatic metric of interpretability. It was shown that the coherence measure has a high correlation with the expert estimates of topic interpretability BIBREF9 , BIBREF17 . Mimno BIBREF9 described an experiment comparing expert evaluation of LDA-generated topics and automatic topic coherence measures. It was found that most "bad" topics consisted of words without clear relations between each other.
Newman et al. BIBREF6 asked users to score topics on a 3-point scale, where 3=“useful” (coherent) and 1=“useless” (less coherent). They instructed the users that one indicator of usefulness is the ease by which one could think of a short label to describe a topic. Then several automatic measures, including WordNet-based measures and corpus co-occurrence measures, were compared. It was found that the best automatic measure having the largest correlation with human evaluation is word co-occurrence calculated as point-wise mutual information (PMI) on Wikipedia articles. Later Lau et al. BIBREF17 showed that normalized poinwise mutual information (NPMI) BIBREF18 calculated on Wikipedia articles correlates even more strongly with human scores.
We calculate automatic topic coherence using two measure variants. The coherence of a topic is the median PMI (NPMI) of word pairs representing the topic, usually it is calculated for INLINEFORM0 most probable elements (in our study ten elements) in the topic. The coherence of the model is the median of the topic coherence. To make this measure more objective, it should be calculated on an external corpus BIBREF17 . In our case, we use Wikipedia dumps. DISPLAYFORM0 
Human-constructed topics usually have unique main words. The measure of kernel uniqueness shows to what extent topics are different from each other and is calculated as the number of unique elements among most probable elements of topics (kernels) in relation to the whole number of elements in kernels. DISPLAYFORM0 
If uniqueness of the topic kernels is closer to zero then many topics are similar to each other, contain the same words in their kernels. In this paper the kernel of a topic means the ten most probable words in the topic. We also calculated perplexity as the measure of language models. We use it for additional checking the model quality.
To estimate the quality of topic models, we use two main automatic measures: topic coherence and kernel uniqueness.
Answer: Topic coherence and kernel uniqueness.
Question: What is the study of semiconductors?
Evidence: Electronics deals with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes, sensors and integrated circuits, and associated passive interconnection technologies. The nonlinear behaviour of active components and their ability to control electron flows makes digital switching possible, and electronics is widely used in information processing, telecommunications, and signal processing. Interconnection technologies such as circuit boards, electronics packaging technology, and other varied forms of communication infrastructure complete circuit functionality and transform the mixed components into a regular working system.
Today, most electronic devices use semiconductor components to perform electron control. The underlying principles that explain how semiconductors work are studied in solid state physics, whereas the design and construction of electronic circuits to solve practical problems are part of electronics engineering.
Answer: The underlying principles that explain how semiconductors work are studied in solid state physics.
Question: Given this paragraph about Lady Gaga, which album did "Bloody Mary" appear on?
Evidence: "Bloody Mary" is a song by American singer Lady Gaga recorded for her second studio album Born This Way (2011). Gaga, Fernando Garibay, and Paul "DJ White Shadow" Blair wrote and produced it; Clinton Sparks also received producer credit. "Bloody Mary" is an electropop song with elements of synth-pop and trance, and features Gregorian chants. Although the song's title is an epithet mostly associated with the English queen Mary Tudor, Gaga assumes the role of biblical figure Mary Magdalene in its lyrics, whom she considered a "feminine force" she had worshiped since her childhood in a Catholic girls school. It is one of several tracks on the album with religious themes.
Answer: Born this Way (2011)
Question: Are the these examples of deserts or desserts? Cake, pie, cookies, and ice cream.
Answer: These four examples are desserts not deserts.
Question: What experimental evaluation is used?
Evidence: Once the KryptoOracle engine was bootstrapped with historical data, the real time streamer was started. The real-time tweets scores were calculated in the same way as the historical data and summed up for a minute and sent to the machine learning model with the Bitcoin price in the previous minute and the rolling average price. It predicted the next minute's Bitcoin price from the given data. After the actual price arrived, the RMS value was calculated and the machine learning model updated itself to predict with better understanding the next value. All the calculated values were then stored back to the Spark training RDD for storage. The RDD persisted all the data while training and check-pointed itself to the Hive database after certain period of time.
The real-time tweets scores were calculated in the same way as the historical data and summed up for a minute and sent to the machine learning model with the Bitcoin price in the previous minute and the rolling average price. It predicted the next minute's Bitcoin price from the given data. After the actual price arrived, the RMS value was calculated and the machine learning model updated itself to predict with better understanding the next value.
Answer: root mean square error between the actual and the predicted price of Bitcoin for every minute
Question: Who is Luke Skywalker's parents?
Answer: Luke Skywalker's parents are Padme Amidala and Anakin Skywalker (also known as Darth Vader)
Question: What is an archipelago
Evidence: An archipelago (/ˌɑːrkəˈpɛləˌɡoʊ/ (listen) AR-kə-PEL-ə-goh), sometimes called an island group or island chain, is a chain, cluster, or collection of islands, or sometimes a sea containing a small number of scattered islands.

Examples of archipelagos include: the Indonesian Archipelago, the Andaman and Nicobar Islands, the Lakshadweep Islands, the Galápagos Islands, the Japanese archipelago, the Philippine Archipelago, the Maldives, the Balearic Islands, The Bahamas, the Aegean Islands, the Hawaiian Islands, the Canary Islands, Malta, the Azores, the Canadian Arctic Archipelago, the British Isles, the islands of the Archipelago Sea, and Shetland. They are sometimes defined by political boundaries. For example, the Gulf archipelago off the northeastern Pacific coast forms part of a larger archipelago that geographically includes Washington state's San Juan Islands; while the Gulf archipelago and San Juan Islands are geographically related, they are not technically included in the same archipelago due to manmade geopolitical borders.
Answer: An archipelago is a grouping, or clustering, of islands.
Question: Does the paper report macro F1?
Evidence: We find that the multilingual model cannot handle infrequent categories, i.e., Awe/Sublime, Suspense and Humor. However, increasing the dataset with English data improves the results, suggesting that the classification would largely benefit from more annotated data. The best model overall is DBMDZ (.520), showing a balanced response on both validation and test set. See Table TABREF37 for a breakdown of all emotions as predicted by the this model. Precision is mostly higher than recall. The labels Awe/Sublime, Suspense and Humor are harder to predict than the other labels.
FLOAT SELECTED: Table 7: Recall and precision scores of the best model (dbmdz) for each emotion on the test set. ‘Support’ signifies the number of labels.
See Table TABREF37 for a breakdown of all emotions as predicted by the this model.
FLOAT SELECTED: Table 7: Recall and precision scores of the best model (dbmdz) for each emotion on the test set. ‘Support’ signifies the number of labels.
Answer: Yes.
Question: Why they conclude that the usage of Gated-Attention provides no competitive advantage against concatenation in this setting?
Evidence: We notice that the concatenation consistently outperforms the gated-attention mechanism for both training and testing instructions. We suspect that the gated-attention is useful in the scenarios where objects are described in terms of multiple attributes, but it has no to harming effect when it comes to the order connectors.
We notice that the concatenation consistently outperforms the gated-attention mechanism for both training and testing instructions. We suspect that the gated-attention is useful in the scenarios where objects are described in terms of multiple attributes, but it has no to harming effect when it comes to the order connectors.
Answer: The answers are shown as follows:
* concatenation consistently outperforms the gated-attention mechanism for both training and testing instructions
Question: What are the primary causes of obesity in the US?
Answer: Causes vary in the United States, from overeating to genetics and dietary choices, such as eating heavy caloric foods and consuming higher than the recommended 2,500 Calories per day. Also influenced by a lack of physical activity, causing higher body fat. Obesity and being overweight are among the leading causes of heart disease in the US.
Question: Where should you go on vacation?
Answer: For some cultures a vacation has a very traditional meaning and expectations while other cultures have no notion of a vacation.  For most in the United States, a vacation consists of spending time away from your normal routine of school or work to help you recharge.  Vacations can be done by not leaving your house or by traveling to the far reaches of the planet and can range from a single day to many years depending on your situation in life.  I personally enjoy vacationing with my family as often as I can throughout the year.  Sometimes a vacation will consist of an extra day over the weekend to go camping at a park far away.  Our favorite family vacations have involved going to special natural parks, called National Parks, to hike, swim, camp, and enjoy the scenery that nature provides.  We also have visited cities with unique attractions like museums in Washington DC, or amusement parks in Gurnee Mills, IL, or football games in Seattle Washington, or skyscrapers of New York city.  We usually plan our family vacations several months in advance so we have options to visit the areas we are interested in and sleep in convenient and comfortable locations.  We also use books, friends, and the internet to research destinations for our vacation so we are taking full advantage of the time we have.  Vacations provide life long memories for people!
Question: How big is the Japanese data?
Evidence: FLOAT SELECTED: Table 2: Details of the ACP dataset.
FLOAT SELECTED: Table 2: Details of the ACP dataset.
Answer: The ACP corpus has around 700k events split into positive and negative polarity
Question: What is GDPR?
Evidence: The General Data Protection Regulation (2016/679, "GDPR") is a Regulation in EU law on data protection and privacy in the EU and the European Economic Area (EEA). The GDPR is an important component of EU privacy law and of human rights law, in particular Article 8(1) of the Charter of Fundamental Rights of the European Union. It also addresses the transfer of personal data outside the EU and EEA areas. The GDPR's primary aim is to enhance individuals' control and rights over their personal data and to simplify the regulatory environment for international business. Superseding the Data Protection Directive 95/46/EC, the regulation contains provisions and requirements related to the processing of personal data of individuals, formally called "data subjects", who are located in the EEA, and applies to any enterprise—regardless of its location and the data subjects' citizenship or residence—that is processing the personal information of individuals inside the EEA.
Answer: GDPR stands for the General Data Protection Regulation. In EU law, GDPR aims to protect certain personal data and ensure its privacy. The goal of GDPR is give individuals greater control over their personal data.
Question: Why was Tamazulapam del Espíritu Santo placed under quarantine?
Evidence: Tamazulapam del Espíritu Santo is a town and municipality in Oaxaca in south-western Mexico. The municipality is at an altitude of 2,040 meters. It is part of the Sierra Mixe district within the Sierra Norte de Oaxaca Region.

The municipality has a total population of 6,908, and the town has a population of 2,372.

Municipal President Artemio Ortiz Ricardez died on May 13, 2020 during the COVID-19 pandemic in Mexico. The town had been placed under quarantine after its first reported case on May 10.
Answer: Tamazulapam del Espíritu Santo was placed under quarantine due to the COVID-19 pandemic.