DataHammer/scimrc huggingface dataset:
Question: Based on the above passage, mention the list of countries where Bengal tiger inhabits now.
Evidence: The Bengal tiger is a population of the Panthera tigris tigris subspecies and the nominate Tiger subspecies. It ranks among the biggest wild cats alive today. It is considered to belong to the world's charismatic megafauna.

The tiger is estimated to have been present in the Indian subcontinent since the Late Pleistocene, for about 12,000 to 16,500 years. Today, it is threatened by poaching, loss and fragmentation of habitat, and was estimated at comprising fewer than 2,500 wild individuals by 2011. None of the Tiger Conservation Landscapes within its range is considered large enough to support an effective population of more than 250 adult individuals.

The Bengal tiger's historical range covered the Indus River valley until the early 19th century, almost all of India, Pakistan, southern Nepal, Bangladesh, Bhutan and southwestern China. Today, it inhabits India, Bangladesh, Nepal, Bhutan and southwestern China. India's tiger population was estimated at 2,603–3,346 individuals by 2018. Around 300–500 individuals are estimated in Bangladesh, 355 in Nepal by 2022, and 90 individuals in Bhutan by 2015.
Answer: As mentioned in the above passage, Bengal tiger inhabits India, Bangladesh, Nepal, Bhutan,  and China.
Question: What made Jackson decide to pursue acting?
Evidence: In Seattle, Jackson worked as an ad executive at a magazine and did some theater work on the side, earning his Equity card. "As soon as I found out what theater was, what Broadway was, I thought, 'Oh, that's what I'll do with my life.' Just a matter of getting all the pieces in place", he said. Inspired to rethink his career after the September 11 attacks, he moved to New York City to pursue his dream of being an actor: "[Acting] was something I always wanted to do but I was too scared and didn't have the confidence. 9/11 changed everything for all of us. It gave me the urgency."
Answer: The occurrence of the September 11 attacks
Question: How did the author explore the improvement in the monolingual model in a semi-supervised setting?
Evidence: We explored the improvement in the monolingual model in a semi-supervised setting. To this end, we randomly selected INLINEFORM0 of the sentences in the CoNLL dataset as “supervised sentences” and the rest INLINEFORM1 were kept unsupervised. Next, we clamped the role labels of the supervised sentences using the predefined mapping from Section SECREF29 . Sampling was done on the unsupervised sentences as usual. We then measured the clustering performance using the trained parameters.
To access the contribution of partial supervision better, we constructed a “supervised baseline” as follows. For predicates seen in the supervised sentences, a MAP estimate of the parameters was calculated using the predefined mapping. For the unseen predicates, the standard baseline was used.
Figures FIGREF33 and FIGREF33 show the performance variation with INLINEFORM0 . We make the following observations:
[leftmargin=*]
In both languages, at around INLINEFORM0 , the supervised baseline starts outperforming the semi-supervised model, which suggests that manually labeling about 10% of the sentences is a good enough alternative to our training procedure. Note that 10% amounts to about 3.6k sentences in German and 4k in English. We noticed that the proportion of seen predicates increases dramatically as we increase the proportion of supervised sentences. At 10% supervised sentences, the model has already seen 63% of predicates in German and 44% in English. This explains to some extent why only 10% labeled sentences are enough.
For German, it takes about 3.5% or 1260 supervised sentences to have the same performance increase as 1.5M unlabeled sentences (Line 1 to Line 2 in Table TABREF27 ). Adding about 180 more supervised sentences also covers the benefit obtained by alignments in the multilingual model (Line 2 to Line 3 in Table TABREF27 ). There is no noticeable performance difference in English.
We also evaluated the performance variation on a completely unseen CoNLL test set. Since the test set is very small compared to the training set, the clustering evaluation is not as reliable. Nonetheless, we broadly obtained the same pattern.
We explored the improvement in the monolingual model in a semi-supervised setting. To this end, we randomly selected S% of the sentences in the CoNLL dataset as “supervised sentences” and the rest (100−S)% were kept unsupervised. Next, we clamped the role labels of the supervised sentences using the predefined mapping from Section 6.6. Sampling was done on the unsupervised sentences as usual. We then measured the clustering performance using the trained parameters.
Answer: First, randomly set “supervised sentences”and the unsupervised, second, clamped the role labels of the supervised sentences and sampled the unsupervised,finally, measured the clustering performance.
Question: When was The White Mandigos band formed?
Evidence: The White Mandingos are a rock supergroup from Woodstock, New York consisting of rapper Murs, former Rolling Stone journalist and MTV / VH1 producer Sacha Jenkins and Bad Brains' bassist Darryl Jenifer.

Biography
The band was formed in late 2012 when Jenkins met up at Jenifer's house in Woodstock to discover if there was anything in common between their respective favourite music genres. They considered their initial collaborations unimpressive, so Jenkins suggested collaborating with Murs, who provided lyrics.

Their first album, The Ghetto Is Tryna Kill Me was released in June 2013, and followed with a short tour of the eastern United States, including gigs in New York's New Museum, Boston and Washington DC. The album is a concept album around Tyrone White, a young black man from a New York City housing project, who subsequently obtains a recording contract and gets a white girlfriend. Jenifer and Jenkins have described the album Tommy by The Who as an important influence. Reviewing the album, Baltimore City Paper 's Baynard Woods thought the group "actually manage to do service to punk and hip hop" and praised the band's sense of humour, particularly the music video for their first single, "My First White Girl". Washington City Paper's Marcus J Moore described the video for the group's "Warn A Brotha" as "a cool ode to skateboarding".
Answer: The White Mandingos was formed in late 2012, and their first album 'The Guetto is Tryna Kill Me' was released in June 2013.
Question: What phone carrier company did Sprint merge with?
Answer: Sprint merged with T-Mobile in 2020, and now are referred to as T-Mobile.
Question: What is the best book to read about the Battle of Stalingrad?
Answer: There are a lot of great books that go into great detail about the battle of Stalingrad. "Dogs, Do You Want to Live Forever" by Fritz Wöss is a good choice if you like fiction. If you like essays, try Stalingrad by Antony Beevor or "Stalingrad, the Battle as Seen by the Germans" by British WWII expert Jonathan Trigg.
Question: Are these hockey or baseball teams: Red Wings, Padres, Blues, Capitals
Answer: The Red Wings are a hockey team from Detroit. The Padres are a baseball team from San Diego. The Blues are a hockey team from St. Louis and the Capitals are a hockey team from Washington.
Question: What spots are the best spots to surf In the Bay Area?
Answer: Surfing in San Francisco can be challenging. It's cold, rocky and the conditions are often unforgiving. That doesn't mean there isn't great surf in the area. Here are a few fun spots.  
Starting in Marin County, you can’t ignore a small town called Bolinas. Bolinas has prided itself on its efforts to stay off the grid. Unfortunately, COVID has brought a lot more people out of the city and bolinas isn’t the secret spot it used to be.  Bolinas is a coastal town in West Marin that has managed to protect itself from big city life. The locals there love keeping Bolinas off the grid. Traveling to Bolinas feels like you’ve went back in time 50 years. In a good way. Bolinas offers a few spots to surf but is generally a longboard wave and is best on incoming mid to high tide. Be respectful of the locals there and the life they’ve carved out for themselves. 

After Bolinas you can head south and just north of the Golden Gate Bridge. Ft Cronkite is a nestled in the Marin Headlands. The beach there is called Rodeo Beach. There is a small parking lot at the beach which hosts many hikers and cyclists as well. The beach is a little cove that is generally protected from the wind. So, when other surf spots in the area may be messy and wind blown, Ft Cron could be clean and protected. This wave is finicky though. It is a bit hit or miss and is a tough wave to surf. I would categorize it for the intermediate to advanced surfer and you need to catch it at mid to high tide.

The next spot to go is Ft. Point. Head south over the Golden Gate Bridge. Surfing Ft. Point is really a novalty. It is a left that is tucked under the Golden Gate Bridge. It rarely breaks big enough to surf, but when it does, it is worth paddling out just to say you surfed under the Golden Gate. If you're lucky enough to enjoy this wave when it's breaking be sure to get some photos to prove it. 

Just south a few minutes from Ft. Point is Ocean Beach. Ocean Beach is a large beach break where the city of San Francisco hits the Pacific Ocean. This wave is documented as one of the roughest beach breaks to surf. The paddle out is long. Ocean Beach is not for the faint of heart. The current is strong. When Ocean Beach is going well (generally in the winter), it gets really good. Double overhead barrels good. 

If Ocean Beach is a bit too heavy for you, it's easy to head south a tad to Pacifica State Beach at Linda Mar. Linda Mar is a little beach break that is learner and local friendly. The crowds can get big here because there are so many beginner surfers at this spot. 

There are plenty more spots to surf in the Bay Area. These are just a few of the best spots to go. Enjoy the Bay Area surfing.
Question: Was the system only evaluated over the second shared task?
Evidence: In recent years, there has been a rapid growth in the usage of social media. People post their day-to-day happenings on regular basis. BIBREF0 propose four tasks for detecting drug names, classifying medication intake, classifying adverse drug reaction and detecting vaccination behavior from tweets. We participated in the Task2 and Task4.
In recent years, there has been a rapid growth in the usage of social media. People post their day-to-day happenings on regular basis. BIBREF0 propose four tasks for detecting drug names, classifying medication intake, classifying adverse drug reaction and detecting vaccination behavior from tweets. We participated in the Task2 and Task4.
Answer: No.
Question: Which organization provided  hate speech definition adopted in this research?
Evidence: Dictionaries are frequently used to code texts in content analyses BIBREF37 . Dictionaries consist of one or more categories (i.e. word lists). Sometimes the output is simply the number of category occurrences (e.g., positive sentiment), thus weighting words within a category equally. In some other cases, words are assigned continuous scores. The high transparency of dictionaries makes them sometimes more suitable than supervised machine learning models. However, dictionaries should only be used if the scores assigned to words match how the words are used in the data (see BIBREF38 for a detailed discussion on limitations). There are many off-the-shelf dictionaries available (e.g., LIWC BIBREF39 ). These are often well-validated, but applying them on a new domain may not be appropriate without additional validation. Corpus- or domain-specific dictionaries can overcome limitations of general-purpose dictionaries.
The dictionaries are often manually compiled, but increasingly they are constructed semi-automatically (e.g., BIBREF40 ). When we semi-automatically create a word list, we use automation to identify an initial word list, and human insight to filter it. By automatically generating the initial words lists, words can be identified that human annotators might have difficulty intuiting. By manually filtering the lists, we use our theoretical understanding of the target concept to remove spurious features.
In the introduction study, SAGE BIBREF41 was used to obtain a list of words that distinguished the text in the treatment group (subreddits that were closed by Reddit) from text in the control group (similar subreddits that were not closed). The researchers then returned to the hate speech definition provided by the European Court of Human Rights, and manually filtered the top SAGE words based on this definition. Not all identified words fitted the definition. The others included: the names of the subreddits themselves, names of related subreddits, community-specific jargon that was not directly related to hate speech, and terms such as IQ and welfare, which were frequently used in discourses of hate speech, but had significant other uses. The word lists provided the measurement instrument for their main result, which is that the use of hate speech throughout Reddit declined after the two treatment subreddits were closed.
The researchers then returned to the hate speech definition provided by the European Court of Human Rights, and manually filtered the top SAGE words based on this definition.
Answer: The European Court of Human Rights.
Question: What sacrifices did Ons's parents make to help her tennis career?
Evidence: Ons Jabeur was born to Samira and Ridha Jabeur in Ksar Hellal, a small town in Tunisia. She grew up in the larger nearby coastal town of Sousse. Jabeur has two older brothers, Hatem and Marwen, and an older sister, Yasmine. Her mother played tennis recreationally and introduced her to the sport at the age of three. Jabeur trained under coach Nabil Mlika for ten years from ages four to thirteen, originally starting to work with him at a tennis promotion centre at her school. When she was ten years old, her club did not have their own tennis courts and she could only train on courts at nearby hotels. At twelve years old, Jabeur moved to the capital city of Tunis to train at the Lycée Sportif El Menzah, a national sport high school for the country's up-and-coming athletes, where she stayed for several years.

She also later trained in Belgium and France starting at the age of 16. Jabeur credits her parents for the sacrifices they made when she was growing up, saying, "My parents sacrificed a lot of things – my mom used to drive me everywhere around Tunisia to go play the tournaments, and she encouraged me to go to a special school to study. That was a big sacrifice to see her little girl going for a dream that, honestly, wasn't 100% guaranteed. She believed in me and gave me the confidence to be there."
Answer: Ons's mother used to drive Ons all around Tunisia to play tennis tournaments and encouraged Ons to go to a special school to study.
Question: How large is the dataset?
Evidence: Table TABREF17 shows our annotated corpus characteristics. Our corpus comprises a total of 6,127 scientific entities, including 2,112 Process, 258 Method, 2,099 Material, and 1,658 Data entities. The number of entities per abstract directly correlates with the length of the abstracts (Pearson's R 0.97). Among the concepts, Process and Material directly correlate with abstract length (R 0.8 and 0.83, respectively), while Data has only a slight correlation (R 0.35) and Method has no correlation (R 0.02).
Our corpus comprises a total of 6,127 scientific entities, including 2,112 Process, 258 Method, 2,099 Material, and 1,658 Data entities. 
Answer: The answers are shown as follows:
* 6,127 scientific entities, including 2,112 Process, 258 Method, 2,099 Material, and 1,658 Data entities
Question: What model was winner of the Visual Dialog challenge 2018?
Evidence: For the evaluation on the test-standard dataset of VisDial v1.0, we try 6 image-only model ensemble and 6 consensus dropout fusion model ensemble. As shown in Table TABREF48, our two models show competitive results compared to the state-of-the-art on the Visual Dialog challenge 2018 (DL-61 was the winner of the Visual Dialog challenge 2018). Specifically, our image-only model shows much higher NDCG score (60.16). On the other hand, our consensus dropout fusion model shows more balanced results over all metrics while still outperforming on most evaluation metrics (NDCG, MRR, R@1, and R@5). Compared to results of the Visual Dialog challenge 2019, our models also show strong results. Although ReDAN+ BIBREF26 and MReaL–BDAI show higher NDCG scores, our consensus dropout fusion model shows more balanced results over metrics while still having a competitive NDCG score compared to DAN BIBREF25, with rank 3 based on NDCG metric and high balance rank based on metric average.
As shown in Table TABREF48, our two models show competitive results compared to the state-of-the-art on the Visual Dialog challenge 2018 (DL-61 was the winner of the Visual Dialog challenge 2018). 
Answer: The answers are shown as follows:
* DL-61
Question: What is the definition of Vegan?
Evidence: Veganism is the practice of abstaining from the use of animal product—particularly in diet—and an associated philosophy that rejects the commodity status of animals. An individual who follows the diet or philosophy is known as a vegan.
Answer: Veganism is the practice of abstaining from the use of animal product
Question: Which are some famous cuisines from Rajasthan, India?
Answer: Rajasthan, whose name is derived from the phrase "Land of Kings," is renowned for its vibrant hues, rich culture, and the Thar Desert. Among other things, Rajasthani food is well renowned throughout the world. Both the availability of ingredients in a desert location and the residents' warlike lives had an impact.  It was preferred to eat food that could be stored for a few days and didn't require heating. Water shortages and a lack of fresh, green vegetables have all had an impact on cooking.

Among the well-known Rajasthani recipes are

Red meat, also known as laal maas or ratto maans, is prepared with yogurt sauce and a unique variety of chiles called red Mathania chillies. Typically, this dish is extremely spicy and loaded with garlic. The royals and rajputs love this meal very much.

Dal Bati with Churma: This is Rajasthan's most well-known dish. Lentils are known as dal, baked wheat balls are known as bati, and sweetened cereal is known as churma. Popular churma is typically served with baatis and dal. It is made of crushed, coarsely powdered wheat that has been fried in ghee and sugar. Traditionally, it is produced by blending leftover rotis or baatis made of wheat flour with ghee and jaggery.

The five plant products ker, sangri, babul fali (kumatiya), gunda, and aamchur make up ker sangri. Since it contains a special combination of five components, it is also known as panchkuta. Ker is a berry that resembles a caper and grows on thorny shrubs in the desert. It has a tart flavor, which also makes it the ideal pickle ingredient. Sangri, on the other hand, are the khejri tree's bean-like pods. The acacia or babul tree's flat seeds are known as babul fali.
Question: What is the largest American city by population?
Answer: New York City is the largest US city
Question: Where does the Golden Retriever originate from?
Evidence: The Golden Retriever is a Scottish breed of retriever dog of medium size. It is characterised by a gentle and affectionate nature and a striking golden coat. It is commonly kept as a pet and is among the most frequently registered breeds in several Western countries. It is a frequent competitor in dog shows and obedience trials; it is also used as a gundog, and may be trained for use as a guide dog.

The breed was created by Sir Dudley Marjoribanks at his Scottish estate Guisachan in the late nineteenth century. He cross-bred Flat-coated Retrievers with Tweed Water Spaniels, with some further infusions of Red Setter, Labrador Retriever and Bloodhound. The breed was recognised by the Kennel Club in 1913, and during the interwar period spread to many parts of the world.
Answer: The Golden Retriever dog breed originates from Scotland.
Question: What are some fun things to do on Oahu?
Answer: Oahu is referred to as the “heart of Hawaii” as it has Hawaii’s largest range of activities and sights. There are many fun things to do for a wide range of people.

For relaxation, Oahu offers many beachings with amazing views and clear water, including Waikiki beach in Honolulu. There are many ocean-side results that offer beach access and beautiful pools. 

For the explorer, there are many miles of hiking trails for all levels of hikers. Many of the trails offer beautiful views of both the mountains and the ocean. Explore the ocean on one of many catamaran cruises. Explore history with one of many tours of Pearl Harbor, or visit the Dole Plantation.

There are many options for the adventurer. Zip line or 4-wheel in adventure parks. Take a helicopter tour of the island. Challenge yourself to surf on the waves of the north shore. Go snorkeling or dive with sharks.

For culture, attend a traditional Luau, explore open markets and festivals, and enjoy the local cuisine at one of many famous restaurants or unique one-of-a-kind restaurants.
Question: Give me a list of the US Open Golf Venues from 1981-1985
Answer: 1981 - Merion Golf Course (East Course) in Ardmore, Pennsylvania
1982 - Pebble Beach Golf Links in Pebble Beach, California
1983 - Oakmont Country Club in Plum, Pennsylvania
1984 - Winged Foot Golf Course (West Course)	in Mamaroneck, New York
1985 - Oakmont Country Club in Plum, Pennsylvania
Question: We all know the saying "what goes up must come down," but what goes up but does not come down?
Answer: Age
Question: What is your favorite strip from the comic Calvin and Hobbes?
Answer: Calvin and Hobbes is an iconic strip that is regarded as one of the best comic strips in history. Individual preferences may vary and it's difficult to find the publishing rate of individual strips throughout its ten year syndication.
Question: Give me a bulleted list of the top 10 NBA basketball players of all time
Answer: *Michael Jordan
*Kobe Bryant
*Kareem Abdul Jabar
*Magic Johnson
*Larry Bird
*Lebron James
*Shaquille O'Neal
*Bill Russell
*Wilt Chamberlain
*Jerry West
Question: Classify the cities based on whether they are located in Wallis and Futuna or Guinea.
Mamou, Leava, Mata-Utu, Conakry, Guéckédou
Answer: Wallis and Futuna - Mata-Utu, Leava
Guinea - Conakry, Mamou, Guéckédou
Question: What is Dataproc?
Answer: Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks.
Question: From the passage provided, extract the launch date and current distance from Earth in miles of Voyager 1.
Evidence: Voyager 1 is a space probe launched by NASA on September 5, 1977, as part of the Voyager program to study the outer Solar System and interstellar space beyond the Sun's heliosphere. Launched 16 days after its twin Voyager 2, Voyager 1 has been operating for 45 years, 6 months and 30 days as of April 5, 2023 UTC . It communicates through NASA's Deep Space Network to receive routine commands and to transmit data to Earth. Real-time distance and velocity data is provided by NASA and JPL. At a distance of 159.20 AU (23.816 billion km; 14.799 billion mi) from Earth as of March 27, 2023, it is the most distant human-made object from Earth.
Answer: The Voyager 1 space probe was launched by NASA on September 5, 1977. As of March 27, 2023 Voyager 1 is 14.799 billion mi from Earth.
Question: What is your favorite piece of classical music?
Answer: I'm not sure if I have a single favorite piece, as my tastes and preferences tend to change over time.  But right now I am really enjoying a piece called "Habanera" from the opera Carmen, written by Georges Bizet.  Previously I was listening and playing along to several musical impromptus by Schubert.