DataHammer/scimrc huggingface dataset:
Question: What are some interesting facts about Nelson Mandel Boulevard described on this paragraph?
Evidence: Nelson Mandela Boulevard (Persian: بلوار نلسون ماندلا) (old name: Jordan Street and Africa Boulevard) still known as Jordan is an affluent and upper-class district in northern Tehran, and some people draw similarities between Jordan District as being much alike Kensington District in London, UK as the area is a mixture of residential and commercial locale, filled with the homes and businesses of many politicians, diplomats, expatriates, and artists. Before the Iranian Revolution in 1979 it was called Jordan street, named after the American presbyterian missionary Samuel M. Jordan and used to be one of the most popular avenue in Tehran, Iran. Renamed Nelson Mandela Boulevard in recent years, it is amongst the most famous streets in north Tehran after Valiasr Street which is the longest conventional street in the Middle East, spanning a south–north axis. It is also famous for being one of the liveliest streets of Tehran, experiencing regular traffic jams even at 2:00A.M during Summer.
Answer: It holds a mixture of residential and commercial locale from upper-class citizens, like politicians, diplomats, expatriates and artists. It used to be called Jordan street before the Iranian revolution. It's amongst the most famous streets of Tehran, experiencing regular traffic jams even at 2:00 AM during Summer.
Question: What would future work focus on?
Evidence: The goal of the current research was to investigate the automatic detection of cyberbullying-related posts on social media. Given the information overload on the web, manual monitoring for cyberbullying has become unfeasible. Automatic detection of signals of cyberbullying would enhance moderation and allow to respond quickly when necessary.
Cyberbullying research has often focused on detecting cyberbullying `attacks', hence overlooking posts written by victims and bystanders. However, these posts could just as well indicate that cyberbullying is going on. The main contribution of this paper is that it presents a system for detecting signals of cyberbullying on social media, including posts from bullies, victims and bystanders. A manually annotated cyberbullying dataset was created for two languages, which will be made available for public scientific use. Moreover, while a fair amount of research has been done on cyberbullying detection for English, we believe this is one of the first papers that focus on Dutch as well.
A set of binary classification experiments were conducted to explore the feasibility of automatic cyberbullying detection on social media. In addition, we sought to determine which information sources contribute to this task. Two classifiers were trained on English and Dutch ASKfm data and evaluated on a holdout test of the same genre. Our experiments reveal that the current approach is a promising strategy for detecting signals of cyberbullying in social media data automatically. After feature selection and hyperparameter optimisation, the classifiers achieved an F INLINEFORM0 -score of 64.32% and 58.72% for English and Dutch, respectively. The systems hereby significantly outperformed a keyword and an (unoptimised) INLINEFORM1 -gram baseline. Analysis of the results revealed that false positives often include implicit cyberbullying or offenses through irony, the challenge of which will constitute an important area for future work.
Another interesting direction for future work would be the detection of fine-grained cyberbullying-related categories such as threats, curses and expressions of racism and hate. When applied in a cascaded model, the system could find severe cases of cyberbullying with high precision. This would be particularly interesting for monitoring purposes, since it would allow to prioritise signals of bullying that are in urgent need for manual inspection and follow-up.
Finally, future work will focus on the detection of participants (or roles) typically involved in cyberbullying. This would allow to analyse the context of a cyberbullying incident and hence evaluate its severity. When applied as moderation support on online platforms, such a system would allow to provide feedback in function of the recipient (i.e., a bully, victim, or bystander).
When applied as moderation support on online platforms, such a system would allow to provide feedback in function of the recipient.
Answer: It can provide feedback in function of the recipient.
Question: What are good foods for keto diet
Answer: Keto is a high fat and low carbohydrates diet. This diet helps the body to get into a state called ketosis where the body uses fat as an energy source instead of carbohydrates.
The ideal food items should have high fat content and low or no carbs and sugar. Some meal suggestions are:
- cauliflower cheese 
- broccoli cheese
- Avocado chicken salad
- cauliflower rice and chicken
- Lamb curry 
- lamb roast with Brussels sprouts 
- beef roast 
- beef steak with halloumi fries
- salads including cucumber, onion, broccoli 
Keto food should not have potatoes, rice, pasta, wheat, sugar etc.
Diet and sugar free soda can be good alternatives to curb sugar cravings
Question: What was the deadliest battle in history?
Answer: The Battle of Stalingrad was a brutal military campaign between Russian forces and those of Nazi Germany and the Axis powers during World War II. The battle is infamous as one of the largest, longest and bloodiest engagements in modern warfare: From August 1942 through February 1943, more than two million troops fought in close quarters – and nearly two million people were killed or injured in the fighting, including tens of thousands of Russian civilians. The giant campaign was really a showdown between Hitler and Stalin over the city that bore the name of the Soviet dictator, which ultimately turned the tide of World War II in favor of the Allied forces, and helped bring about a change of fortunes that would eventually destroy Nazi Germany and doom Hitler.
Question: Why is my car making a funny noise?
Answer: There are many reasons why vehicles make abnormal noises. It is recommended that a mechanic is involved to take a look at the car. Potential problems may include: broken transmission, old brakes, battery needs to be replaced, an old or flat tire.
Question: Given this reference text about Delta Lambda Phi, during which years was the DLP fraternity not the fastest growing fraternity in the US?
Evidence: Delta Lambda Phi (ΔΛΦ) is an international social fraternity for gay, bisexual, transgender and progressive men. It offers a social environment and structure similar to other Greek-model college fraternities. The fraternity was founded on October 15, 1986, by Vernon L. Strickland III in Washington, D.C.: becoming the first national social fraternity for gay, bisexual, and straight progressive men. The full, corporate name of the fraternity is Delta Lambda Phi Social Fraternity, but it is commonly referred to as "DLP" by its members. As of 2007, DLP was one of the fastest-growing fraternities in the United States.
Answer: Between 1986 and 2007, DLP was available, but not the fastest growing fraternity.
Question: Extract the highest point in the city of Paris from this paragraph.
Evidence: Paris is located in northern central France, in a north-bending arc of the river Seine whose crest includes two islands, the Île Saint-Louis and the larger Île de la Cité, which form the oldest part of the city. The river's mouth on the English Channel (La Manche) is about 233 mi (375 km) downstream from the city. The city is spread widely on both banks of the river. Overall, the city is relatively flat, and the lowest point is 35 m (115 ft) above sea level. Paris has several prominent hills, the highest of which is Montmartre at 130 m (427 ft).
Answer: The highest points is Montmartre at 130m or 427ft.
Question: Tell me a terrifying fact about moray eels.
Answer: Moray eels have two sets of jaws, the outer jaws and the inner, pharyngeal jaws. The first set of jaw grabs the prey and the pharyngeal jaws pull the prey drag the prey into the eel's throat.
Question: Give me exactly 5 characteristics of award winning songs.
Answer: Popular songs that usually win awards have some common characteristics:
1. A catchy chorus that people can sing-a-long with
2. A simple beat that can be clapped along with or danced to
3. A powerful message in the lyrics that is relatable to a wide group of people
4. An instrument solo or prolonged period of instrumental-only music
5. A song length of around 3-5 minutes
Question: Which company built the F-22 Raptor?
Evidence: The Lockheed Martin F-22 Raptor is an American single-seat, twin-engine, all-weather stealth tactical fighter aircraft developed for the United States Air Force (USAF). As the result of the USAF's Advanced Tactical Fighter (ATF) program, the aircraft was designed as an air superiority fighter, but also has ground attack, electronic warfare, and signals intelligence capabilities. The prime contractor, Lockheed Martin, built most of the F-22's airframe and weapons systems and conducted final assembly, while Boeing provided the wings, aft fuselage, avionics integration, and training systems.

The aircraft first flew in 1997 and was variously designated F-22 and F/A-22 before it formally entered service in December 2005 as the F-22A. Although the USAF had originally planned to buy a total of 750 ATFs, the program was cut to 187 operational aircraft in 2009 due to high costs, a lack of air-to-air missions at the time of production, and the development of the more affordable and versatile F-35.[N 1] The last F-22 was delivered in 2012.

While it had a protracted development and initial operational difficulties, the F-22 has become a critical component of the USAF's tactical airpower. The fighter's combination of stealth, aerodynamic performance, and mission systems enabled a leap in air combat capabilities and set the benchmark for its generation. The F-22 is expected to serve into the 2030s and eventually be succeeded by the USAF's Next Generation Air Dominance (NGAD) manned fighter component.
Answer: The F-22 Raptor was built primarily by Lockheed Martin, but several significant components were built by Boeing including the wings, aft fuselage, avionics integration, and training systems.
Question: Will commercial space travel be affordable to me in my lifetime and what would I pay for it?
Answer: I have always been fascinated by space and space travel. The cost of space travel is astronomical by most peoples standards, however, we are starting to hear of companies that are working on making space travel more affordable. Depending on my financial situation at retirement, I would pay up to $100000 to travel to space.
Question: What new metric does the team propose for automatic evaluation of table-to-text generation?
Evidence: We study the automatic evaluation of table-to-text systems when the references diverge from the table. We propose a new metric, PARENT, which shows the highest correlation with humans across a range of settings with divergent references in WikiBio. We also perform the first empirical evaluation of information extraction based metrics BIBREF1 , and find RG-F to be effective. Lastly, we show that PARENT is comparable to the best existing metrics when references are elicited by humans on the WebNLG data.
We study the automatic evaluation of table-to-text systems when the references diverge from the ta_x0002_ble. We propose a new metric, PARENT, which shows the highest correlation with humans across a range of settings with divergent references in WikiBio.
Answer: PARENT.
Question: Why should you stay at our rental cabin in Speedway, Indiana?
Answer: The Indianapolis 500 comes to Speedway, Indiana each year in May. It's the largest gathering for a sports event in the world. It's truly an event you don't want to miss! The buzz of the cars speeding by, the crowds cheering in a way you can't experience at traditional sporting events, all under the warm summer sun. It's truly a once in a lifetime event you can't experience like it anywhere else. Staying in our cabin allows you to be close to the action, with a walkable distance to the track, and run back should you want to take a quick break from the action. It has great views of the track, is a walkable distance, and nearby to many restaurants and shopping vendors during the event.
Question: how many strings guitar have?
how guitar projects sound?
what are different types of guitar?
Evidence: The guitar is a fretted musical instrument that typically has six strings. It is usually held flat against the player's body and played by strumming or plucking the strings with the dominant hand, while simultaneously pressing selected strings against frets with the fingers of the opposite hand. A plectrum or individual finger picks may also be used to strike the strings. The sound of the guitar is projected either acoustically, by means of a resonant chamber on the instrument, or amplified by an electronic pickup and an amplifier.

The guitar is classified as a chordophone – meaning the sound is produced by a vibrating string stretched between two fixed points. Historically, a guitar was constructed from wood with its strings made of catgut. Steel guitar strings were introduced near the end of the nineteenth century in the United States, nylon strings came in the 1940s. The guitar's ancestors include the gittern, the vihuela, the four-course Renaissance guitar, and the five-course baroque guitar, all of which contributed to the development of the modern six-string instrument.

There are three main types of modern guitar: the classical guitar (Spanish guitar/nylon-string guitar), the steel-string acoustic guitar or electric guitar, and the Hawaiian guitar (played across the player's lap). Traditional acoustic guitars include the flat top guitar (typically with a large sound hole) or an arch top guitar, which is sometimes called a "jazz guitar". The tone of an acoustic guitar is produced by the strings' vibration, amplified by the hollow body of the guitar, which acts as a resonating chamber. The classical Spanish guitar is often played as a solo instrument using a comprehensive fingerstyle technique where each string is plucked individually by the player's fingers, as opposed to being strummed. The term "finger-picking" can also refer to a specific tradition of folk, blues, bluegrass, and country guitar playing in the United States.
Answer: A typical guitar have 6 strings but there are other guitars (bass guitar) which have 4-6 strings.
The sound of the guitar is projected either acoustically, by means of a resonant chamber on the instrument, or amplified by an electronic pickup and an amplifier.
There are three main types of modern guitar, the classical guitar, the steel string acoustic guitar or electric guitar, and the Hawaiian guitar which is played across player's lap.
Question: What was the main motivation for participating in the challenge?
Evidence: In this paper, we describe our approach and present the results for our participation in the task 1, i.e. multilingual information extraction, of the CLEF eHealth 2018 challenge BIBREF0 . More precisely, this task consists in automatically coding death certificates using the International Classification of Diseases, 10th revision (ICD-10) BIBREF1 .
We addressed the challenge by matching ICD-10 terminology entries to text phrases in death certificates. Matching text phrases to medical concepts automatically is important to facilitate tasks such as search, classification or organization of biomedical textual contents BIBREF2 . Many concept recognition systems already exist BIBREF2 , BIBREF3 . They use different approaches and some of them are open source. We developed a general purpose biomedical semantic annotation tool for our own needs. The algorithm was initially implemented to detect drugs in a social media corpora as part of the Drugs-Safe project BIBREF4 . We adapted the algorithm for the ICD-10 coding task. The main motivation in participating in the challenge was to evaluate and compare our system with others on a shared task.
The main motivation in participating in the challenge was to evaluate and compare our system with others on a shared task.
Answer: The main motivation in participating in the challenge was to evaluate and compare our system with others on a shared task.
Question: Can you put metal in a microwave?
Answer: Most metals should not be put in a microwave oven
Question: Extract all of the names of people mentioned in this paragraph and list them using bullets in the format {Name}
Evidence: Toledo (Latin: Toletum) is mentioned by the Roman historian Livy (ca. 59 BCE – 17 CE) as urbs parva, sed loco munita ("a small city, but fortified by location"). Roman general Marcus Fulvius Nobilior fought a battle near the city in 193 BCE against a confederation of Celtic tribes; defeating them and capturing a king called Hilermus. At that time, Toletum was a city of the Carpetani tribe, and part of the region of Carpetania. It was incorporated into the Roman Empire as a civitas stipendiaria, (a tributary city of non-citizens) and later a municipium. With this status, city officials obtained Roman citizenship for public service, and the forms of Roman law and politics were increasingly adopted. At approximately this time, a Roman circus, city walls, public baths, and a municipal water supply and storage system were constructed in Toletum.
Answer: • Livy
• Marcus Fulvius Nobilior
• Hilermus
Question: how are the bidirectional lms obtained?
Evidence: In our final system, after pre-training the forward and backward LMs separately, we remove the top layer softmax and concatenate the forward and backward LM embeddings to form bidirectional LM embeddings, i.e., INLINEFORM0 . Note that in our formulation, the forward and backward LMs are independent, without any shared parameters.
In our final system, after pre-training the forward and backward LMs separately, we remove the top layer softmax and concatenate the forward and backward LM embeddings to form bidirectional LM embeddings, i.e., INLINEFORM0 . 
Answer: They pre-train forward and backward LMs separately, remove top layer softmax, and concatenate to obtain the bidirectional LMs.
Question: How many large victories did Nelson have and what were the scores?
Evidence: The 1926–27 season was the 46th season in the history of Nelson Football Club and their sixth campaign as a professional club in the Football League. Nelson ended the season with a record of 22 wins, 7 draws and 13 defeats, helping the team to a total of 51 points. The team started the campaign well—winning six of the first nine matches—and lost only three matches during the first five months of the campaign. In the 1926–27 season, Nelson recorded several large victories, including a 7–0 win over Accrington Stanley and a 7–1 defeat of Crewe Alexandra. Nelson were consistently near the top of the league table throughout the campaign, but were never able to supplant Stoke City from the top position, and a run of six consecutive losses at the end of the season saw them finish in fifth-place in the league.
Answer: 2 large wins, 7-0 and 7-1
Question: Do the authors suggest any future extensions to this work?
Evidence: The main contributions of this paper are (1) to overcome twitter challenges of acronyms, short text, ambiguity and synonyms, (2) to identify the set of word-pairs to be used as features for live event detection, (3) to build an end-to-end framework that can detect the events lively according to the word counts. This work can be applied to similar problems, where specific tweets can be associated with life events such as disease outbreak or stock market fluctuation. This work can be extended to predict future events with one day in advance, where we will use the same method for feature selection in addition to to time series analysis of the historical patterns of the word-pairs.
. This work can be extended to predict future events with one day in advance, where we will use the same method for feature selection in addition to to time series analysis of the historical patterns of the word-pairs.
Answer: Yes.
Question: Tell me which of the eight planets in our solar system have moons and which do not. Classify the planets into 'No Moon', 'One Moon', and 'Multiple Moons'. The planets are: Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, and Neptune.
Answer: No Moon: Mercury and Venus.
One Moon: Earth and Mars.
Multiple Moons: Jupiter, Saturn, Uranus, and Neptune.
Question: What's the function of the two-staged CNN architecture with an attention mechanism?
Evidence: In this paper, we introduce Query-based Attention CNN(QACNN) for Text Similarity Map, an end-to-end neural network for question answering. This network is composed of compare mechanism, two-staged CNN architecture with attention mechanism, and a prediction layer. First, the compare mechanism compares between the given passage, query, and multiple answer choices to build similarity maps. Then, the two-staged CNN architecture extracts features through word-level and sentence-level. At the same time, attention mechanism helps CNN focus more on the important part of the passage based on the query information. Finally, the prediction layer find out the most possible answer choice. We conduct this model on the MovieQA dataset using Plot Synopses only, and achieve 79.99% accuracy which is the state of the art on the dataset.
Then, the two-staged CNN architecture extracts features through word level and sentence-level. At the same time, attention mechanism helps CNN focus more on the important part of the passage based on the query information.
Answer: The two-staged CNN architecture extracts features through word level and sentence-level. At the same time, attention mechanism helps CNN focus more on the important part of the passage based on the query information.
Question: What do the authors demonstrate by evaluating their models on six languages?
Evidence: Pre-trained models have demonstrated their effectiveness in many downstream natural language processing (NLP) tasks. The availability of multilingual pre-trained models enables zero-shot transfer of NLP tasks from high resource languages to low resource ones. However, recent research in improving pre-trained models focuses heavily on English. While it is possible to train the latest neural architectures for other languages from scratch, it is undesirable due to the required amount of compute. In this work, we tackle the problem of transferring an existing pre-trained model from English to other languages under a limited computational budget. With a single GPU, our approach can obtain a foreign BERT base model within a day and a foreign BERT large within two days. Furthermore, evaluating our models on six languages, we demonstrate that our models are better than multilingual BERT on two zero-shot tasks: natural language inference and dependency parsing.
Furthermore, evaluating our models on six languages, we demonstrate that our models are better than multilingual BERT on two zero-shot tasks: natural language inference and dependency parsing.
Answer: Their models are better than multilingual BERT on two zero-shot tasks: natural language inference and dependency parsing.
Question: What were the labeled sentiments from the updated VADER that were then compared with?
Evidence: This study uses the original and updated VADER (Valence Aware Dictionary and Sentiment Reasoner) to calculate the compound sentiment scores for about 14,000 Nigerian Pidgin tweets. The updated VADER lexicon (updated with 300 Pidgin tokens and their sentiment scores) performed better than the original VADER lexicon. The labelled sentiments from the updated VADER were then compared with sentiment labels by expert Pidgin English speakers.
The labelled sentiments from the updated VADER were then compared with sentiment labels by expert Pidgin English speakers.
Answer: Sentiment labels by expert Pidgin English speakers.