DataHammer/scimrc huggingface dataset:
Question: Given a reference text about Farhad Moshiri, what do his painted jars look like?
Evidence: Farhad Moshiri (born 1963 in Shiraz) is an Iranian artist currently based in Tehran. His art work is rooted in Pop art dialect with a subtle, subversive socio-political commentary.

Biography
Moshiri studied fine arts at California Institute of the Arts in Valencia, California, in the 1980s, where he first started experimenting with installations, video art and painting. He received his MFA from California Institute of the Arts in 1984, before moving back to Tehran in 1991. He subsequently became well known for his ironic interpretations of hybrids between traditional Iranian forms and those of the consumerist and globalized popular culture widespread in his country.

In the early 2000s, Moshiri was most readily associated with his paintings of jars, which are decorated with traditional Iranian sayings and poetic verse, written in Persian calligraphy. These monumental containers have been described as receptacles of life, memory and desire, and reflect his fascination with archaeology.

His painted jars, which form a trademark of his production, look like three-dimensional objects, bursting with popular foods, drinks and desserts, with popular scripts elegantly written on their body. Other significant works include Stereo Surround Sofa (2004), Silver Portrait on Red (2004), Diamond Brain (2004-5) and A Dream in Tehran (2007).

Moshiri is also interested in the repetition of numbers and letters in scripts for their intrinsic beauty as opposed to any literal meaning or sense they might hold

In Kennedy’s Salt and Pepper Shaker, from 2005, he presents the instantly recognizable Kennedy couple in the form of salt and pepper shakers.

His work is held in several public collections, including the Virginia Museum of Fine Arts, Richmond, the Farjam Collection, Dubai, and the British Museum, London.

He is represented by The Third Line gallery in Dubai, Galerie Emmanuel Perrotin in Paris, New York, Tokyo and Hong Kong, Rodolphe Janssen in Brussels, and Thaddeus Ropac in Salzburg and London
Answer: Farhad Moshiri's painted jars look like three-dimensional objects bursting with popular drinks, foods, and desserts.
Question: Where is WIOO served to license?
Evidence: WIOO (1000 AM), known as "Country Gold FM & AM", WIOO is a commercial AM radio station licensed to serve Carlisle, Pennsylvania. The call sign stands for the station's former long-time branding, "W-100," referring to its position on the AM dial. WIOO has aired a "country gold" format for the past 21 years, playing country music from approximately 5–50 years ago. The station is affiliated with Westwood One, and with Motor Racing Network, and Performance Racing Network for extensive NASCAR coverage.

WIOO is a "daytimer", broadcasting at full power from local sunrise to local sunset, and at reduced power from local sunset until 45 minutes later (during "critical hours"), after which it signs off to protect clear channel station WMVP in Chicago, Illinois from skywave interference. The station's programming is simulcast 24 hours a day on FM translators 97.9 W250AP and 107.3 W297CO both in Carlisle. WIOO also simulcasts the majority of its programming on translator 93.9 W230AX, licensed to serve Shippensburg, Pennsylvania.
Answer: The WIOO AM radio station is licensed to serve Carlisle, Pennsylvania.
Question: What does troll the respawn, Jeremy mean?
Answer: Trolling the respawn refers to when in video games a player hangs out at a place where their opponent respawns, or comes back into a game after dying to immediately kill them again. Troll the respawn, Jeremy specifically is a quote from a TV show Unbreakable Kimmy Schmidt and is misunderstood as a greeting one says when hanging up the phone.
Question: The reduction in wild grain populations lead to what type of crop being cultivated?
Evidence: Around 4000 BCE, the Saharan climate started to become drier at an exceedingly fast pace. This climate change caused lakes and rivers to shrink significantly and caused increasing desertification. This, in turn, decreased the amount of land conducive to settlements and encouraged migrations of farming communities to the more tropical climate of West Africa. During the first millennium BCE, a reduction in wild grain populations related to changing climate conditions facilitated the expansion of farming communities and the rapid adoption of rice cultivation around the Niger River.
Answer: The reduction in wild grain populations lead to the rapid adoption of rice cultivation around the Niger River.
Question: What is a calendar?
Answer: A calendar is an arrangement of a depiction of time defined by humans.  It is a collection of multiple days that makes up a month with multiple months representing a year of time.  Each day of the week on a calendar is assigned a word to represent the day - Monday, Tuesday, Wednesday, Thursday, Friday, Saturday and Sunday.  A calendar is used for planning scheduled events in the future, remembering birthdays, and other important dates like tests in school.  A calendar can also be broken down into seasonal months that represent the months that match the weather during any particular time of the year.
Question: Given the reference text, where would I be able to find The Oath of Leo III?
Evidence: The Oath of Leo III is a painting by the workshop of the Italian renaissance artist Raphael. The painting was part of Raphael's commission to decorate the rooms that are now known as the Stanze di Raffaello, in the Apostolic Palace in the Vatican. It is located in the room that was named after The Fire in the Borgo, the Stanza dell'incendio del Borgo. In the fresco, Pope Leo III is seen during the trial on December 23 AD 800 during which he was brought face to face with the nephews of his predecessor Pope Hadrian I, who had accused him of misconduct. The assembled bishops declared that they could not judge the pope, after which Leo took an oath of purgation of his own free will.
Answer: The Oath of Leo III, painted by Raphael, can be found in the Apostolic Palace in the Vatican.
Question: Is there any river that doesn’t meet a sea?
Answer: There are several, in fact! The most famous example would be the Okavango River, which - instead of reaching the ocean - peters out into the massive Okavango Delta and evaporates, in the middle of the Kalahari Desert. Some other notable instances include the Onyx River - the longest river in Antarctica, at 32 kilometres in length - which simply flows from one lake to another. And the Omo River, which starts in the Ethiopian Highlands and ends in Lake Turkana, Kenya. But these last two flow into lakes. That’s not unusual for a river, right?
Certainly not; however, in the vast majority of cases, the river’s water will meet the sea eventually, as almost all lakes are drained by other rivers which reach the ocean. Not so for these lakes. Why? Because they’re in what are known as endorheic basins. In hydrology, a basin is a region in which all precipitation will drain and collect into a common outlet. There are innumerable river basins throughout the world, with dozens in the (contiguous) US alone. If you look closely at the US map, you might notice that not all these river basins enter the sea. They are endorheic basins; closed, self-contained systems where the amount of water flowing in is equal to the amount which evaporates or seeps away.
You can theoretically find them in any climate, but they tend to be in very dry areas - e.g. the Kalahari - as where it’s rainier erosion will usually carve pathways to the ocean. They also often have mountains or glaciers blocking their way to the sea. Endorheic basins make up about 18 per cent of the world’s land area - although this map doesn’t show the ones in Antarctica.
Also note that 6 of the world’s 25 largest lakes are in endorheic basins - Lakes Turkana, Balkhash, Titicaca, Issyk-kul, and Urmia, and of course the Caspian Sea - the largest lake in all the world.
Question: What are some of the benefits of learning flute as a child
Answer: It improves cognitive skills, helps develop fine motor skills, promotes social interaction,  provides a creative outlet. It can be a lifelong hobby. Children who learn the flute often continue to play it throughout their lives. They may even become professional musicians.
Question: 15 days Europe plan
Answer: Amsterdam - 2 Days
Belgium- 3 Days
Paris - 2 Days
Zurich -1 Day
Interlaken - 2 Days
Venice - 2 Days
Naples and Capri - 2 Days
Rome - 2 Days
Athens - 2 Days
Santorini - 3 Days
Question: From the given text, Please summarize the early life of Élodie Yung
Evidence: Yung was born in Paris, on 22 February 1981. Her father is Cambodian and her mother is French. She grew up in Seine-Saint-Denis. Her father enrolled her in karate classes at age 9, and she eventually became a black belt in her late teens. Yung earned a law degree at the University of Paris with the intention of becoming a judge. However, at the age of 29, she instead pursued acting at the London Academy of Music and Dramatic Art.
Answer: 1. Yung was born on February 22, 1981, in Paris.
2. Her mother is French and her father is Cambodian.
3. Seine-Saint-Denis was where she grew up.
4. Her father enrolled her in karate lessons when she was nine years old, and in her late teens, she attained the rank of black belt.
5. Yung attended the University of Paris to obtain a law degree with the goal of becoming a judge.
The London Academy of Music and Dramatic Art is where she pursued acting at the age of 29, nevertheless.
Question: Name some of the most popular TV shows of the 2010s
Answer: Some of the most popular TV shows in the 2010s include Breaking Bad, Game of Thrones, Peaky Blinders, Succession or Better Call Saul
Question: Where can I find Leptodactylus tapiti?
Evidence: Leptodactylus tapiti is a species of frog in the family Leptodactylidae. It is endemic to Brazil. Its natural habitats are moist savanna, subtropical or tropical high-altitude grassland, and rivers.
Answer: Leptodactylus tapiti is a species of frog that are native to Brazil. Its natural habitats are moist savanna, subtropical or tropical high-altitude grassland, and rivers.
Question: How much does it minimally cost to fine-tune some model according to benchmarking framework?
Evidence: FLOAT SELECTED: Table 1: Pretraining costs of baseline models. Hardware and pretraining time are collected from original papers, with which costs are estimated with current TPU price at $8 per hour with 4 core TPU v3 chips and V100 GPU at $3.06 per hour. DistilBERT model is trained upon a pretrained BERT model. Parameter numbers are estimated using the pretrained models implemented in the Transformers (https://github.com/huggingface/ transformers) library (Wolf et al., 2019), shown in million.
FLOAT SELECTED: Table 1: Pretraining costs of baseline models. Hardware and pretraining time are collected from original papers, with which costs are estimated with current TPU price at $8 per hour with 4 core TPU v3 chips and V100 GPU at $3.06 per hour. DistilBERT model is trained upon a pretrained BERT model. Parameter numbers are estimated using the pretrained models implemented in the Transformers (https://github.com/huggingface/ transformers) library (Wolf et al., 2019), shown in million.
Answer: $1,728
Question: Do the models perform best for judge, court, and law?
Evidence: The dataset was thoroughly evaluated, see leitner2019fine for more details. As state of the art models, Conditional Random Fields (CRFs) and bidirectional Long-Short Term Memory Networks (BiLSTMs) were tested with the two variants of annotation. For CRFs, these are: CRF-F (with features), CRF-FG (with features and gazetteers), CRF-FGL (with features, gazetteers and lookup). For BiLSTM, we used models with pre-trained word embeddings BIBREF22: BiLSTM-CRF BIBREF23, BiLSTM-CRF+ with character embeddings from BiLSTM BIBREF24, and BiLSTM-CNN-CRF with character embeddings from CNN BIBREF25. To evaluate the performance we used stratified 10-fold cross-validation. As expected, BiLSTMs perform best (see Table ). The F$_1$ score for the fine-grained classification reaches 95.46 and 95.95 for the coarse-grained one. CRFs reach up to 93.23 F$_1$ for the fine-grained classes and 93.22 F$_1$ for the coarse-grained ones. Both models perform best for judge, court and law.
Both models perform best for judge, court and law.
Answer: Yes, they do.
Question: Do you think depression ran in Wittgenstein's family?
Evidence: Born in Vienna into one of Europe's richest families, Ludwig Wittgenstein inherited a fortune from his father in 1913. Before World War I, he "made a very generous financial bequest to a group of poets and artists chosen by Ludwig von Ficker, the editor of Der Brenner, from artists in need. These included Trakl as well as Rainer Maria Rilke and the architect Adolf Loos." Later, in a period of severe personal depression after World War I, he gave away his remaining fortune to his brothers and sisters. Three of his four older brothers died by separate acts of suicide. Wittgenstein left academia several times: serving as an officer on the front line during World War I, where he was decorated a number of times for his courage; teaching in schools in remote Austrian villages, where he encountered controversy for using sometimes violent corporal punishment on girls and a boy (the Haidbauer incident) especially during mathematics classes; working during World War II as a hospital porter in London, notably telling patients not to take the drugs they were prescribed; and working as a hospital laboratory technician at the Royal Victoria Infirmary in Newcastle upon Tyne. He later expressed remorse for these incidents, and spent the remainder of his life lecturing and attempting to prepare a second manuscript for publication, which was published posthumously as the hugely influential Philosophical Investigations.
Answer: Depression is a mental health issue which can sometimes lead to suicide. It is known to run in families. Ludwig Wittgenstein personally experienced at least one period of severe depression and three of his four older brothers died by separate acts of suicide. Based on the fact that so many of Wittgenstein's immediate family members experienced depression or died by suicide, I think it is fair to say depression ran in Wittgenstein's family.
Question: What does downstream validation-set F1 on fine-grained NER show?
Evidence: Our experiments evaluate the effect of shallow syntax, via contextualization (mSynC, §SECREF2) and features (§SECREF3). We provide comparisons with four baselines—ELMo-transformer BIBREF0, our reimplementation of the same, as well as two cwr-free baselines, with and without shallow syntactic features. Both ELMo-transformer and mSynC are trained on the 1B word benchmark corpus BIBREF19; the latter also employs chunk annotations (§SECREF2). Experimental settings are detailed in Appendix §SECREF22.
Down stream validation-set F1 on fine-grained NER, reported in Table 4, shows that the end-to-end strategy lags behind the others, perhaps indicating the need to train longer than 10 epochs.
Answer: It shows that the end-to-end strategy lags behind the others, perhaps indicating the need to train longer than 10 epochs.
Question: Which Dutch artist painted “Girl with a Pearl Earring”?
Answer: Vermeer
Question: Based on this paragrah, what indie band released the album "Popsicle"?
Evidence: Popsicle is an alternative rock album by indie band Diamond Nights, released in 2005. The song "The Girl's Attractive" was featured in a 2006 Jaguar and an Austrian beer (Stiegl) advertisement, as well on the "Thirst" and "Nicodemus" episodes of the TV drama Smallville, and was included on its second Soundtrack The Metropolis Mix .
Answer: Diamond Nights
Question: What business strategies or initiatives do you think will be key to Uber's long-term growth?
Answer: Business strategies and initiatives that will be key to Uber's long-term growth include:
1. Expansion of Uber Rides into new markets (e.g., South Korea, Japan, Germany)
2. Growth of Uber Advertising (e.g., sponsored listings, journey ads, car top ads)
3. Customer adoption of Uber One membership 
4. Growth of New Verticals on the Uber Eats platform (e.g., Grocery, Convenience, Alcohol)
5. Expansion of Uber Direct to more markets and merchants
6. Launching additional services on the Uber Rides platform (e.g., car rentals, high capacity vehicles, reserve)
7. Scaling Uber for Business products, including Uber Health, Central, and Vouchers
8. Launching self-driving vehicles on the platform
9. Growing the number of restaurants on the Uber Eats platform
10. Intelligently cross-selling products across both platforms
Question: What are the five largest countries in the world in terms of land area?
Answer: The five largest countries in the world in terms of land area are Russia (17,098,250 km²), Canada (9,879,750 km²), China (9,600,013 km²), the United States (9,525,067 - 9,831,510 km²), and Brazil (8,515,770 km²).
Question: what was the baseline?
Evidence: This paper experimented with two different models and compared them against each other. The inspiration for the first model comes from BIBREF1 in their paper DBLP:journals/corr/cmp-lg-9707002 where they used an MLP for text genre detection. The model used in this paper comes from scikit-learn's neural_network module and is called MLPClassifier. Table TABREF35 shows all parameters that were changed from the default values.
This paper experimented with two different models and compared them against each other. 
Answer: There is no baseline.
Question: Identify which instrument is string or percussion: Timbal, Lotar
Answer: Lotar is string, Timbal is percussion.
Question: Who was Neale James Cooper
Evidence: Neale James Cooper (24 November 1963 – 28 May 2018) was a Scottish football player and coach. He played as a midfielder during the 1980s and 1990s, most prominently for the Aberdeen team managed by Alex Ferguson, and later played for Aston Villa, Rangers, Reading, Dunfermline Athletic and Ross County. Cooper then became a coach, and worked as a manager in England with Hartlepool United (twice) and Gillingham, and in Scotland with Ross County and Peterhead.
Answer: Neale James Cooper (24 November 1963 – 28 May 2018) was a Scottish football player and coach. He played as a midfielder during the 1980s and 1990s, most prominently for the Aberdeen team managed by Alex Ferguson, and later played for Aston Villa, Rangers, Reading, Dunfermline Athletic and Ross County.
Question: From the passage provided, extract the names of the writers for the movie Captain America: The First Avenger. Separate them with a comma.
Evidence: Captain America: The First Avenger is a 2011 American superhero film based on the Marvel Comics character Captain America. Produced by Marvel Studios and distributed by Paramount Pictures, it is the fifth film in the Marvel Cinematic Universe (MCU). The film was directed by Joe Johnston, written by Christopher Markus and Stephen McFeely, and stars Chris Evans as Steve Rogers / Captain America alongside Tommy Lee Jones, Hugo Weaving, Hayley Atwell, Sebastian Stan, Dominic Cooper, Toby Jones, Neal McDonough, Derek Luke, and Stanley Tucci. During World War II, Steve Rogers, a frail man, is transformed into the super-soldier Captain America and must stop the Red Skull (Weaving) from using the Tesseract as an energy source for world domination.
Answer: Christopher Markus, Stephen McFeely
Question: Given a reference text about Hackpad, what company acquired it?
Evidence: Hackpad was a web-based collaborative real-time text editor forked from Etherpad.

It was used as the company wikis by multiple prominent startups of the 2010s, such as Airbnb, Stripe, and Upworthy.

In April 2014, Hackpad was acquired by Dropbox. In April 2015, it was announced that Hackpad would be released as open source and source code was published on GitHub in August 2015, under the Apache license 2.0. On April 25, 2017, Hackpad announced that it is to shut down on July 19, 2017, permanently migrating to Dropbox Paper.
Answer: Hackpad was acquired by Dropbox in April 2014.
Question: What animals can I see on safari?
Answer: Typically, you can spot a variety of wildlife on Safari. Depending on the region, you can see lions, giraffes, elephants, leopards, wild birds, and more. The most popular safaris are found in Africa, in countries like Tanzania, South Africa and Kenya.
Question: What was their F1 score on the Bengali NER corpus?
Evidence: FLOAT SELECTED: Table 5: Bengali manual annotation results. Our methods improve on state of the art scores by over 5 points F1 given a relatively small amount of noisy and incomplete annotations from non-speakers.
FLOAT SELECTED: Table 5: Bengali manual annotation results. Our methods improve on state of the art scores by over 5 points F1 given a relatively small amount of noisy and incomplete annotations from non-speakers.
Answer: 52.0%
Question: What are the two types of questions in the modern system?
Evidence: Question classification (QC) deals with question analysis and question labeling based on the expected answer type. The goal of QC is to assign classes accurately to the questions based on expected answer. In modern system, there are two types of questions BIBREF0. One is Factoid question which is about providing concise facts and another one is Complex question that has a presupposition which is complex. Question Answering (QA) System is an integral part of our daily life because of the high amount of usage of Internet for information acquisition. In recent years, most of the research works related to QA are based on English language such as IBM Watson, Wolfram Alpha. Bengali speakers often fall in difficulty while communicating in English BIBREF1.
In this research, we briefly discuss the steps of QA system and compare the performance of seven machine learning based classifiers (Multi-Layer Perceptron (MLP), Naive Bayes Classifier (NBC), Support Vector Machine (SVM), Gradient Boosting Classifier (GBC), Stochastic Gradient Descent (SGD), K Nearest Neighbour (K-NN) and Random Forest (RF)) in classifying Bengali questions to classes based on their anticipated answers. Bengali questions have flexible inquiring ways, so there are many difficulties associated with Bengali QC BIBREF0. As there is no rich corpus of questions in Bengali Language available, collecting questions is an additional challenge. Different difficulties in building a QA System are mentioned in the literature BIBREF2 BIBREF3. The first work on a machine learning based approach towards Bengali question classification is presented in BIBREF0 that employ the Stochastic Gradient Descent (SGD).
One is Factoid question which is about providing concise facts and another one is Complex question that has a presupposition which is complex.
Answer: One is Factoid question which is about providing concise facts and another one is Complex question that has a presupposition which is complex.
Question: Based on the paragraph below, the failure to uphold the commitments outlined in Magna Carta lead to what war?
Evidence: Magna Carta Libertatum (Medieval Latin for "Great Charter of Freedoms"), commonly called Magna Carta (also Magna Charta; "Great Charter"), is a royal charter of rights agreed to by King John of England at Runnymede, near Windsor, on 15 June 1215. First drafted by the Archbishop of Canterbury, Cardinal Stephen Langton, to make peace between the unpopular king and a group of rebel barons, it promised the protection of church rights, protection for the barons from illegal imprisonment, access to swift justice, and limitations on feudal payments to the Crown, to be implemented through a council of 25 barons. Neither side stood behind their commitments, and the charter was annulled by Pope Innocent III, leading to the First Barons' War.
Answer: First Barons' War
Question: What hit song that was used in the Bollywood movie Don actually a reject from an earlier movie.
Answer: The song 'Khaike Pan Banarasi Wala' was actually written for the movie Banarasi Babu for Dev Anand.  However Dev Anand did not use it in his movie.  So it was picturized on Amitabh Bacchan in the movie Don.