DataHammer/scimrc huggingface dataset:
Question: Why is my car making a clicking sound when I try to start it? The lights are turning on for a little bit but the engine is not turning over.
Answer: It could be your battery, especially if you have left a light on overnight, or had the key in auxiliary mode for sometime as both of those will drain even a new batter in a short amount of time. If your battery is new you may be able to have it charged, but if your battery is older than 3 years you will probably need a new battery.
Question: Which is a species of fish? Prickleback or Prickle
Answer: Prickleback
Question: When teaching children about when to do things, which would you say are things people do in the morning, and which are not? Wake up, fall asleep, drink coffee,  put on pyjamas, turn off the lights, have breakfast.
Answer: Things that people tend to do in the morning are to wake up, drink coffee and have breakfast. Fall asleep, put on pyjamas and turn off the lights are not things that people typically do in the morning.
Question: Who is Christopher Hope
Answer: Christopher Hope, FRSL (born 26 February 1944) is a South African novelist and poet who is known for his controversial works dealing with racism and politics in South Africa. His son is violinist Daniel Hope.
Question: What ASR system do they use?
Evidence: The dataset itself is distributed as a collection of links to YouTube videos, some of which are no longer available. Authors provide pre-computed C3D features and frames at 5fps, but these are not suitable for our experiments. At the time of writing, we found 9,167 (out of 10,009) training and 4,483 (out of 4,917) validation videos which is, roughly, 91 % of the dataset. Out of these 2,798 training and 1,374 validation videos (approx. 28 %) contain at least one speech segment. The speech content was obtained from the closed captions (CC) provided by the YouTube ASR system which can be though as subtitles.
The speech content was obtained from the closed captions (CC) provided by the YouTube ASR system which can be though as subtitles.
Answer: The answers are shown as follows:
* YouTube ASR system
Question: Hello, my family and I recently went to the zoo and saw a number of animals.  Please identify the animals in this summary and organize them in order of size.  My son's favorite animal is an elephant, and he saw an elephant in the grassland.  My wife caught a parakeet trying to eat our popcorn.  My daughter was scared by lion that she saw on the prairie.  I missed all of these animals and only saw a boa constrictor in an a cage.
Answer: The animals in your summary by size are an elephant, a lion, a boa constrictor, and a parakeet.  This sounds like a fun trip to the zoo!
Question: Given a reference text about the wraparound process, tell me what is included in a wraparound plan.
Evidence: The wraparound process is an intensive, individualized care management process for youths with serious or complex needs. Wraparound was initially developed in the 1980s as a means for maintaining youth with the most serious emotional and behavioral problems in their home and community. During the wraparound process, a team of individuals who are relevant to the well-being of the child or youth (e.g., family members, other natural supports, service providers, and agency representatives) collaboratively develop an individualized plan of care, implement this plan, and evaluate success over time. The wraparound plan typically includes formal services and interventions, together with community services and interpersonal support and assistance provided by friends, kin, and other people drawn from the family's social networks. The team convenes frequently to measure the plan's components against relevant indicators of success. Plan components and strategies are revised when outcomes are not being achieved.

The process of engaging the family, convening the team, developing the plan, implementing the plan, and transitioning the youth out of formal wraparound is typically facilitated by a trained care manager or “wraparound facilitator,” sometimes with the assistance of a family support worker. The wraparound process, and the plan itself, is designed to be culturally competent, strengths based, and organized around family members’ own perceptions of needs, goals, and likelihood of success of specific strategies.
Answer: A wraparound plan usually includes formal services and interventions along with community services and interpersonal support.
Question: At a college graduation ceremony, each graduate is handed a diploma and sunflower. Aaron, Fiona, and Noor are three graduates. Only Fiona is allergic to sunflowers. As she exits the stage, Fiona sneezes but Aaron and Noor do not. Why does Fiona sneeze but not the other two?
Answer: Fiona is allergic to sunflowers while the other two are not. After she received a sunflower on the stage, it caused her to sneeze.
Question: What is a popular mystery book series?
Answer: Sherlock Holmes series by Arthur Conan Doyle
Question: Do they use the profile information to match their accounts across different social networks in their method?
Evidence: There are several recent works that attempt to match profiles across different Internet services. Some of these works utilize private user data, while some, like ours, use publicly available data. An example of a work that uses private data is Balduzzi et al. BIBREF8 . They use data from the Friend Finder system (which includes some private data) provided by various social networks to link users across services. Though one can achieve a relatively high level of success by using private data to link user accounts, we are interested in using only publicly available data for this task. In fact, as mentioned earlier, we do not even consider publicly available information that could explicitly identify a user, such as names, birthdays and locations.
Several methods have been proposed for matching user profiles using public data BIBREF9 , BIBREF10 , BIBREF11 , BIBREF12 , BIBREF13 , BIBREF14 , BIBREF15 , BIBREF16 . These works differ from ours in two main aspects. First, in some of these works, the ground truth data is collected by assuming that all profiles that have the same screen name are from the same users BIBREF15 , BIBREF16 . This is not a valid assumption. In fact, it has been suggested that close to $20\%$ of accounts with the same screen name in Twitter and Facebook are not matching BIBREF17 . Second, almost all of these works use features extracted from the user profiles BIBREF9 , BIBREF10 , BIBREF11 , BIBREF12 , BIBREF13 , BIBREF14 , BIBREF15 . Our work, on the other hand, is blind to the profile information and only utilizes users' activity patterns (linguistic and temporal) to match their accounts across different social networks. Using profile information to match accounts is contrary to the best practices of stylometry since it assumes and relies on the honesty, consistency and willingness of the users to explicitly share identifiable information about themselves (such as location).
Our work, on the other hand, is blind to the profile information and only utilizes users’ activity patterns (linguistic and temporal) to match their accounts across different social networks.
Answer: No, they only utilize users’ activity patterns.
Question: Write a haiku about fall leaves. Follow the syllabic rules of haiku exactly. Exploit the double meaning of the word fall.
Answer: Green becomes amber
Vibrancy of life, dying 
Plunge into the fall
Question: From the passage provided, extract the shape of Milky way Galaxy
Evidence: The Milky Way is a barred spiral galaxy with a D25 isophotal diameter estimated at 26.8 ± 1.1 kiloparsecs (87,400 ± 3,590 light-years), but only about 1,000 light years thick at the spiral arms (more at the bulge). Recent simulations suggest that a dark matter area, also containing some visible stars, may extend up to a diameter of almost 2 million light-years (613 kpc). The Milky Way has several satellite galaxies and is part of the Local Group of galaxies, which form part of the Virgo Supercluster, which is itself a component of the Laniakea Supercluster.
Answer: The shape of Milky way galaxy is barred spiral.
Question: Is the initial offline dataset not used to initialize the offline buffer?
Evidence: Next, we introduce a simple but effective online-offline replay buffer (OORB) to distinguish between near-on-policy online interaction data, and the offline data. OORB consists of two replay buffers.
One is the online buffer that collects the online interaction data. Besides, to ensure the data in the online buffer is near-on-policy, we set it to be very small, and fresh online interaction data are stored into it by following a first-in-first-out rule. The other is the offline buffer consisting of the newly generated online interaction data and the offline dataset which may come from any policies.
Data are sampled from OORB following a Bernoulli distribution, which means that with a probability p, they are sampled from the online buffer, and with probability 1 − p, they are sampled from the offline buffer. To benefit from both online and offline data in a balanced way, we empirically set p to 0.5, and its effect on the final performance is further tested via ablation studies in Section 5.4. Results show that p = 0.5 works best overall, which confirms our claim that offline data and online interaction data are both crucial for policy learning.
Next, we introduce a simple but effective online-offline replay buffer (OORB) to distinguish between near-on-policy online interaction data, and the offline data. OORB consists of two replay buffers. One is the online buffer that collects the online interaction data. Besides, to ensure the data in the online buffer is near-on-policy, we set it to be very small, and fresh online interaction data are stored into it by following a first-in-first-out rule. The other is the offline buffer consisting of the newly generated online interaction data and the offline dataset which may come from any policies. Data are sampled from OORB following a Bernoulli distribution, which means that with a probability p, they are sampled from the online buffer, and with probability 1 − p, they are sampled from the offline buffer. To benefit from both online and offline data in a balanced way, we empirically set p to 0.5, and its effect on the final performance is further tested via ablation studies in Section 5.4. Results show that p = 0.5 works best overall, which confirms our claim that offline data and online interaction data are both crucial for policy learning
Answer: As we explained in section 4.3, the offline buffer stores all experiences, including samples collected by its behavior policy or any other agent's behavior policy (i.e., the offline dataset). Hence, the initial offline dataset is used to initialize the offline buffer.
Question: Give me a bulleted list of the winners of the The Masters Tournament for the last decade.
Answer: The winners of The Masters Tournament since 2013 were: In 2022 - Scottie Scheffler; 2021 - Hideki Matsuyama; 2020 - Dustin Johnson;  2019 - Tiger Woods; 2018 - Patrick Reed; 2017 - Sergio Garcia; 2016 - Danny Willett; 2015 - Jordan Spieth; 2014 - Bubba Watson; 2013 - Adam Scott. Each year the winner of the Masters Tournament is famously gifted a green dinner jacket.
Question: Tell me which one of these is different than others - Football, Hockey, Basketball, Baseball, Cricket, Lacrosse.
Answer: All of these are popular sports. Depending on the context, these can be grouped differently.

In terms of popular American sports, Cricket is the odd one out. It's popularity is on the rise in USA, but it doesn't enjoy the same stature as other sports in this group.

In terms of international popularity, Lacrosse might be different than others. Although 68+ countries compete in Lacrosse, it's popularity is lower than the other sports in terms of viewership and following in total number of people.

(Ice) Hockey uses a rubber puck while other sports on the list use some form of a ball.
Question: Name some of the bravolebrities from Below Deck
Answer: Captain Lee Rosbach, Chef Rachel Hargrove, Stew Fraser Olender and former Chief Stew Kate Chastain
Question: Why is it important to brush and floss your teeth everyday?
Answer: It is important to use a toothbrush to remove food build-up and plaque that can accumulate on tooth surfaces.  Flossing is important to remove build-up in between teeth in the areas a toothbrush cannot reach.  If plaque is not removed within 24 hours, it can harden into calculus which can only be removed with a professional cleaning.  If plaque and calculus remain on teeth it can increase the risk of gum disease and cavities.  Maintaining a healthy mouth is important for oral health as well as systemic health, e.g. Cardiovascular Health.    Dentists recommend to brush your teeth twice a day for 2 minutes each time and flossing at least once a day.  When brushing it is best to wait 30 minutes after drinking acidic beverages, such as coffee or citrus juice.  Dentists recommend using a soft bristle toothbrush with gentle pressure and using toothpaste with fluoride which can help reduce the risk of cavities by strengthening the enamel.
Question: What is discriminator in this generative adversarial setup?
Evidence: Adversarial training can often improve model robustness BIBREF25, BIBREF27. We also fine-tune the target models using adversarial training. At each training step, we train the model with a batch of original examples along with adversarial examples with balanced labels. The adversarial examples account for around 10% in a batch. During training, we generate adversarial examples with the current model as the target and update the model parameters with the hybrid batch iteratively. The beam size for generation is set to 1 to reduce the computation cost, since the generation success rate is minor in adversarial training. We evaluate the adversarially trained models, as shown in Table TABREF18.
At each training step, we train the model with a batch of original examples along with adversarial examples with balanced labels. The adversarial examples account for around 10% in a batch. During training, we generate adversarial examples with the current model as the target and update the model parameters with the hybrid batch iteratively.
Answer: The answers are shown as follows:
*  current model
Question: Please summarize “The Decision” that Lebron James has made based on the following paragraph.
Evidence: James became an unrestricted free agent at 12:01 am EDT on July 1, 2010. During this time, he was contacted by several teams, including the Bulls, Los Angeles Clippers, Miami Heat, New York Knicks, New Jersey Nets, and Cavaliers. On July 8, he announced on a live ESPN special titled The Decision that he would sign with the Heat. The telecast was broadcast from the Boys & Girls Club of Greenwich, Connecticut and raised $2.5 million for the charity. An additional $3.5 million was raised from advertising revenue, which was donated to other charities. The day before the special, fellow free agents Chris Bosh and Dwyane Wade also announced that they would sign with Miami; reports later arose that back in 2006 the trio had discussed among themselves their upcoming 2010 free agencies. James decided to join with Bosh and Wade in part so that he could shoulder less of the offensive load; he thought that his improved teammates would give him a better chance of winning an NBA championship than had he stayed in Cleveland. Heat president Pat Riley played a major role in selling James on the idea of playing with Bosh and Wade. James would be relieved of the burden of scoring, and he thought he could be the first player since Oscar Robertson to average a triple-double in a season.
Upon leaving the Cavaliers, James drew intense criticism from sports analysts, executives, fans, and current and former players. The Decision itself was also scrutinized and viewed as unnecessary. Many thought that the prolonged wait for James's choice was unprofessional as not even the teams courting him were aware of his decision until moments before the show. Upon learning that James would not be returning to Cleveland, Cavaliers owner Dan Gilbert published an open letter to fans in which he aggressively denounced James's actions. Some angry fans of the team recorded videos of themselves burning his jersey. Former NBA players, including Michael Jordan and Magic Johnson, were also critical of James, condemning him for joining with Bosh and Wade in Miami and not trying to win a championship as "the man". James drew further criticism in a September interview with CNN when he claimed that race might have been a factor in the fallout from The Decision. As a result of his actions during the 2010 free agency period, he quickly gained a reputation as one of America's most disliked athletes, which was a radical change from prior years. The phrase "taking my talents to South Beach" became a punch line for critics. In retrospect, James has expressed some regret over his handling of The Decision.
Answer: In 2010, Lebron James became an unrestricted free agent. With the invitation from multiple NBA teams, Lebron announced his decision to join Miami Heat on July 8, 2010. The decision was broadcasted live on ESPN and raised money for charity. Chris Bosh and Dwyane Wade decided to join the Heat before the decision and was the major reason for Lebron James’ decision. Lebron James has received a huge amount of criticism for the decision, including fans, former NBA players and press.
Question: When completing a full distance triathlon for a personal best time, categorize the following as either ‘useful’, ‘not useful’, ‘dangerous’, or ‘neither’. A knife, pretzels, a bike helmet, a French horn, cowboy boots
Answer: A knife is sharp and is dangerous to run, bike, and swim with, therefore a knife is considered dangerous. Pretzels are a great example of quick digesting carbohydrates and salt (to avoid cramping) so pretzels are considered useful. A bike helmet is useful to ensure that the bike portion is completed safely. There is no use for a French horn in a triathlon, especially when you’re attempting to complete it in a personal best time, therefore it’s not useful. Lastly, cowboy boots have spurs on the back which could hurt during the bike, run, and swim therefore they’re considered dangerous.
Question: What datasets are constructed for English?
Evidence: 
We summarize in Table TABREF8 an incomplete list of published Image Captioning datasets, in English and in other languages. Several image caption datasets for English have been constructed, the representative examples are Flickr3k BIBREF5, BIBREF6; Flickr 30k BIBREF7 – an extending of Flickr3k and Microsoft COCO (Microsoft Common in Objects in Context) BIBREF8.
Besides, several image datasets with non-English captions have been developed. Depending on their applications, the target languages of these datasets vary, including German and French for image retrieval, Japanese for cross-lingual document retrieval BIBREF9 and image captioning BIBREF10, BIBREF3, Chinese for image tagging, captioning and retrieval BIBREF4. Each of these datasets is built on top of an existing English dataset, with MS-COCO as the most popular choice.
Our dataset UIT-ViIC is constructed using images from Microsoft COCO (MS-COCO). MS-COCO dataset includes more than 150,000 images, divided into three distributions: train, vailidate, test. For each image, five captions are provided independently by Amazon’s Mechanical Turk. MS-COCO is the most popular dataset for Image Captioning thanks to the MS-COCO challenge (2015) and it has a powerful evaluation server for candidates.
Regarding to the Vietnamese language processing, there are quite a number of research works on other tasks such as parsing, part-of-speech, named entity recognition, sentiment analysis, question answering. However, to the extent of our knowledge, there are no research publications on image captioning for Vietnamese. Therefore, we decide to build a new corpus of Vietnamese image captioning for Image Captioning research community and evaluate the state-of-the-art models on our corpus. In particular, we validate and compare the results by BLEU BIBREF11, ROUGE BIBREF12 and CIDEr BIBREF13 metrics between Neural Image Captioning (NIC) model BIBREF14, Image Captioning model from the Pytorch-tutorial BIBREF15 by Yunjey on our corpus as the pioneering results.
Several image caption datasets for English have been constructed, the representative examples are Flickr3k  Flickr 30k an extending of Flickr3k and Microsoft COCO (Microsoft Common in Objects in Context).
Answer: Flickr3k , Flickr 30k are constructed.
Question: 5 best Resume titles
Answer: Savvy & Energetic Director with Robust Skills in Marketing ,PR, IT, Healthcare , Administration
Licensed FL Attorney and Experienced Educator Seeking Remote Work
Bilingual, dedicated, and proactive with experience in visual communication, office clerk, and CS.
Flexible Professional with Experience in Account Management and International Consulting
Experienced customer enthusiast ready to deliver diamond-level service!
Question: How to find a boyfriend or girlfriend?
Answer: Finding a partner is a life topic. People fall in love in very different ways. Some people will start a relationship with friends after knowing each other for years, while some will love someone who was still a completely stranger yesterday. Some people will completely rely on serendipity to meet someone new, while some use dating apps to find a potential lover with clear purposes. There are no right ways to start a relationship, but a wrong relationship can be harmful to both sides. Therefore, you should take your take and never rush into a new relationship. Some tips for finding a BF or GF:
1. Participate in more events to meet new people. For example, exercise classes, clubs of your hobby, volunteering, and parties can be a good start.
2. Ask your friends to recommend some guy/girl they know. Friends can be a reliable source since they share similar background and experience with you.
3. Be nice, honest and helpful to everyone you meet. This can help you to build good reputation in your friends circle so that people are more likely to be attracted by you.
4. Know a person well before you start developing a romantic relationship with him/her. Some people may be very different as a friend vs. in a relationship. It's better to spend more time dating, knowing his/her life before making a decision.
Question: Does Spark require modified versions of Scala or Python?
Answer: No. Spark requires no changes to Scala or compiler plugins. The Python API uses the standard CPython implementation, and can call into existing C libraries for Python such as NumPy.
Question: When was the Bitcoin white paper released?
Evidence: Bitcoin (abbreviation: BTC or XBT; sign: ₿) is a protocol which implements a highly available, public, permanent, and decentralized ledger. In order to add to the ledger, a user must prove they control an entry in the ledger. The protocol specifies that the entry indicates an amount of a token, bitcoin with a minuscule b. The user can update the ledger, assigning some of their bitcoin to another entry in the ledger. Because the token has characteristics of money, it can be thought of as a digital currency.  Bitcoin transactions are verified by network nodes through cryptography and recorded in a public distributed ledger called a blockchain. The cryptocurrency was invented in 2008 by an unknown person or group of people using the name Satoshi Nakamoto. The currency began use in 2009, when its implementation was released as open-source software.: ch. 1  The word "bitcoin" was defined in a white paper published on October 31, 2008. It is a compound of the words bit and coin.
Answer: The word "bitcoin" was defined in a white paper published on October 31, 2008.