DataHammer/scimrc huggingface dataset:
Question: From the passage provided,  extract the cost of building Taj Mahal
Evidence: The Taj Mahal (/ˌtɑːdʒ məˈhɑːl, ˌtɑːʒ-/; lit. 'Crown of the Palace') is an ivory-white marble mausoleum on the right bank of the river Yamuna in Agra, Uttar Pradesh, India. It was commissioned in 1631 by the fifth Mughal emperor, Shah Jahan (r. 1628–1658) to house the tomb of his favourite wife, Mumtaz Mahal; it also houses the tomb of Shah Jahan himself. The tomb is the centrepiece of a 17-hectare (42-acre) complex, which includes a mosque and a guest house, and is set in formal gardens bounded on three sides by a crenellated wall.

Construction of the mausoleum was essentially completed in 1643, but work continued on other phases of the project for another 10 years. The Taj Mahal complex is believed to have been completed in its entirety in 1653 at a cost estimated at the time to be around ₹32 million, which in 2020 would be approximately ₹70 billion (about US $1 billion). The construction project employed some 20,000 artisans under the guidance of a board of architects led by Ustad Ahmad Lahauri, the emperor’s court architect. Various types of symbolism have been employed in the Taj to reflect natural beauty and divinity.

The Taj Mahal was designated as a UNESCO World Heritage Site in 1983 for being "the jewel of Muslim art in India and one of the universally admired masterpieces of the world's heritage". It is regarded by many as the best example of Mughal architecture and a symbol of India's rich history. The Taj Mahal attracts more than 6 million visitors a year and in 2007, it was declared a winner of the New 7 Wonders of the World (2000–2007) initiative.
Answer: The Taj Mahal complex is believed to have been completed in its entirety in 1653 at a cost estimated at the time to be around ₹32 million, which in 2020 would be approximately ₹70 billion (about US $1 billion)
Question: Given this paragraph about the longest living person, what was their name and when were they born?
Evidence: The longest documented and verified human lifespan is that of Jeanne Calment of France (1875–1997), a woman who lived to age 122 years and 164 days. She claimed to have met Vincent van Gogh when she was 12 or 13. She received news media attention in 1985, after turning 110. Calment's claim was investigated and authenticated by Jean-Marie Robine and Dr Michel Allard for the GRG. Her longevity claim was put into question in 2018, but the original assessing team stood by their judgement.
Answer: Jeanne Calment is the longest living person to be verified. She was born in 1875 and lived to be 122 years old.
Question: Given the numerous awards in Major League Baseball, what is the Willie Mays World Series Most Valuable Player (MVP) Award?
Evidence: The Willie Mays World Series Most Valuable Player (MVP) Award is given to the Major League Baseball (MLB) player deemed to have the most impact on his team's performance in the World Series, which is the final round of the MLB postseason. The award was first presented in 1955 as the SPORT Magazine Award, but is now decided during the final game of the Series by a committee of reporters and officials present at the game. On September 29, 2017, it was renamed in honor of Willie Mays in remembrance of the 63rd anniversary of The Catch, which occurred the year prior to the award's debut; Mays never won the award himself.
Answer: The Willie Mays World Series Most Valuable Player Award is given to the Major League Baseball player deemed to have the most impact on his team's performance in the World Series.
Question: What were the Crusades?
Evidence: The Crusades were a series of religious wars initiated, supported, and sometimes directed by the Latin Church in the medieval period. The best known of these military expeditions are those to the Holy Land in the period between 1095 and 1291 that were intended to conquer Jerusalem and its surrounding area from Muslim rule. Beginning with the First Crusade, which resulted in the conquest of Jerusalem in 1099, dozens of military campaigns were organised, providing a focal point of European history for centuries. Crusading declined rapidly after the 15th century.
Answer: The Crusades collectively refer religious wars in the medieval times. The Crusades are famously know today for expeditions into the Muslim Holy Land to capture lands in the name of European kings and religion from 1095-1291.
Question: Identify which instrument is string or percussion: Binzasara, Calabrian Lira
Answer: Calabrian Lira is string, Binzasara is percussion.
Question: Name 5 different vegetables. List them with dashes
Answer: - Carrot
- Kale
- Broccoli
- Cabbage
- Potato
Question: Which of the two ensembles yields the best performance?
Evidence: Figure FIGREF5 shows that E-BERT performs comparable to BERT and ERNIE on unfiltered LAMA. However, E-BERT is less affected by filtering on LAMA-UHN, suggesting that its performance is more strongly due to factual knowledge. Recall that we lack entity embeddings for 46% of Google-RE subjects, i.e., E-BERT cannot improve over BERT on almost half of the Google-RE tuples.
Figure FIGREF5 shows that E-BERT performs comparable to BERT and ERNIE on unfiltered LAMA.
Answer: Answer with content missing: (Table 2) CONCAT ensemble
Question: What does long hair say about a woman?
Answer: It found that people regarded long- or short-haired women as being equally self-assured and independent, although women with long hair were perceived as being more feminine. You'd think they'd logically perceive long-haired women as possessing qualities we've traditionally associated with womanhood—passivity, empathy
Question: What type of model is the Citroen C4 Cactus?
Evidence: The Citroën C4 Cactus is a subcompact crossover SUV, produced by French automaker Citroën in Spain between April 2014 and December 2017, with production of the second generation commencing in October 2017 (until May 2020 in Villaverde), with the final months of production being disrupted by the COVID-19 pandemic. The C4 Cactus is considered a compact SUV, although it is based on the PSA PF1 platform that underpins the smaller Citroën C3 and DS3.

A distinctive design feature is the "AirBump" panels on the car's sides, designed to protect the vehicle from damage in car parks. The Citroën Cactus Concept, presented at the 2013 Frankfurt Motor Show, previewed the production version. The C4 Cactus was presented at the 2014 Geneva Motor Show.
Answer: The Citroen C4 Cactus is a subcompact crossover SUV produced by Citroen, a French automaker.
Question: Is this approach compared to some baseline?
Evidence: Table TABREF24 gives the UAR for each feature subset individually, for all features combined, and for a combination in which one feature subset in turn is left out. The one-feature-set-at-time results suggest that prosody, speech activity and words are of increasing importance in that order. The leave-one-out analysis agrees that the words are the most important (largest drop in accuracy when removed), but on that criterion the prosodic features are more important than speech-activity. The combination of all features is 0.4% absolute better than any other subset, showing that all feature subsets are partly complementary.
FLOAT SELECTED: Table 2. Hot spot classification results with individual feature subsets, all features, and with individual feature sets left out.
Table TABREF24 gives the UAR for each feature subset individually, for all features combined, and for a combination in which one feature subset in turn is left out. The one-feature-set-at-time results suggest that prosody, speech activity and words are of increasing importance in that order. 
FLOAT SELECTED: Table 2. Hot spot classification results with individual feature subsets, all features, and with individual feature sets left out.
Answer: No.
Question: What are the languages used to test the model?
Evidence: The dataset at HASOC 2019 were given in three languages: Hindi, English, and German. Dataset in Hindi and English had three subtasks each, while German had only two subtasks. We participated in all the tasks provided by the organisers and decided to develop a single model that would be language agnostic. We used the same model architecture for all the three languages.
In the results of subtask A, models are mainly affected by imbalance of the dataset. The training dataset of Hindi dataset was more balanced than English or German dataset. Hence, the results were around 0.78. As the dataset in German language was highly imbalanced, the results drops to 0.62. In subtask B, the highest F1 score reached was by the profane class for each language in table TABREF20. The model got confused between OFFN, HATE and PRFN labels which suggests that these models are not able to capture the context in the sentence. The subtask C was again a case of imbalanced dataset as targeted(TIN) label gets the highest F1 score in table TABREF21.
The dataset at HASOC 2019 were given in three languages: Hindi, English, and German. Dataset in Hindi and English had three subtasks each, while German had only two subtasks. We participated in all the tasks provided by the organisers and decided to develop a single model that would be language agnostic. We used the same model architecture for all the three languages.
The training dataset of Hindi dataset was more balanced than English or German dataset. Hence, the results were around 0.78. As the dataset in German language was highly imbalanced, the results drops to 0.62.
Answer: Hindi, English and German (German task won)
Question: What kind of data are the two databases composed of?
Evidence: Humor is an expression of human uniqueness and intelligence and has drawn attention in diverse areas such as linguistics, psychology, philosophy and computer science. Computational humor draws from all of these fields and is a relatively new area of study. There is some history of systems that are able to generate humor (e.g., BIBREF0 , BIBREF1 ). However, humor detection remains a less explored and challenging problem (e.g., BIBREF2 , BIBREF3 , BIBREF4 , BIBREF5 ).
SemEval-2017 Task 6 BIBREF6 also focuses on humor detection by asking participants to develop systems that learn a sense of humor from the Comedy Central TV show, @midnight with Chris Hardwick. Our system ranks tweets according to how funny they are by training N-gram language models on two different corpora. One consisting of funny tweets provided by the task organizers, and the other on a freely available research corpus of news data. The funny tweet data is made up of tweets that are intended to be humorous responses to a hashtag given by host Chris Hardwick during the program.
Our system ranks tweets according to how funny they are by training N-gram language models on two different corpora. One consisting of funny tweets provided by the task organizers, and the other on a freely available research corpus of news data.
Answer: One consisting of funny tweets provided by the task organizers, and the other on a freely available research corpus of news data.
Question: What is Chinese Eduction System like?
Answer: In China, kids receive 12 years’ basic education, before entering higher education. 12 years’ basic education consistent with 9 years of “compulsory education” and 3 years of high school. The “compulsory education” is paid by the government, at least nominally, and kids are mandated to finish. It is divided into primary school and middle school, usually 6 years and 3 years, respectively. High school is not mandated to students. Some high schools are general high schools, which focus on academics and prepare students for colleges, while others are vocational or technical high schools. Many graduates of general high schools enter higher education. Some of them enter undergraduate study, which is usually 4 years, while others enter professional higher education, which is usually 3 years.
Question: Tell me which one of the following countries are in the European Union: The Netherlands, Switzerland, Germany, Finland, the United Kingdom, Italy, Luxembourg, Turkey, Australia, Vietnam, Canada.
Answer: The Netherlands, Germany, Finland, Italy and Luxembourg are in the European Union.

Rest of the countries: Switzerland, the United Kingdom, Turkey, Australia, Vietnam and Canada are not a part of the European Union but might have deals allowing them to benefit from the certain conveniences of the European Union such as free trade.

For example, while Switzerland has very close ties with European Union nations and has similar benefits, they are not a part of the EU. Switzerland enjoys benefits such as freedom of movement of people between the EU member states and Switzerland, this is due to a separate agreement: Agreement on the Free Movement of Persons (AFMP).
Question: Where is the Willis Tower located?
Answer: The Willis Tower, formerly known as the Sears Tower, is located in the city of Chicago.
Question: What are 4 good reasons to get solar panels and a powerwall for my house?
Answer: The following are 4 good reasons to get solar panels and a powerwall on your house:
1. Solar panels produce electricity to significantly lower utility costs
2. In certain locations, you can sell power back to your utility provider and make additional money off of your solar panels
3. Using solar panels is beneficial for the environment due to reduced reliance on electricity generated from mechanisms that produce CO2 emissions
4. During a power outage, you can use power stored in your powerwall to keep your own electricity running
Question: What is my Chinese Zodiac sign (animal)?
Answer: There are 12 Zodiac animals: rat, ox, tiger, rabbit, dragon, snake, horse, goat, monkey, rooster, dog, and boar. To find it, you can look up the lunar calendar. But the following way is a quick and traditional Chinese way to find it.  

Calculate the remainder of (Year of birth - 1900) / 12, and check the remainder with date of birth:

Date of birth is before January 21: 
The remainder = 0, Boar
The remainder = 1, Rat
The remainder = 2, Ox
The remainder = 3, Tiger
The remainder = 4, Rabbit
The remainder = 5, Dragon
The remainder = 6, Snake
The remainder = 7, Horse
The remainder = 8, Goat
The remainder = 9, Monkey
The remainder = 10, Rooster
The remainder = 11, Dog

Date of birth is after February 20: 
The remainder = 0, Rat
The remainder = 1, Ox
The remainder = 2, Tiger
The remainder = 3, Rabbit
The remainder = 4, Dragon
The remainder = 5, Snake
The remainder = 6, Horse
The remainder = 7, Goat
The remainder = 8, Monkey
The remainder = 9, Rooster
The remainder = 10, Dog
The remainder = 11, Boar

For those born between January 21 and February 20, the beginning of the Lunar New Year usually, please look up the lunar calendar which will provide the details.
Question: Where was Mazzy Star formed?
Evidence: Mazzy Star is an American alternative rock band formed in 1988 in Santa Monica, California, from remnants of the group Opal. Founding member David Roback's friend Hope Sandoval became the group's vocalist when Kendra Smith left Opal.

Mazzy Star is best known for the song "Fade into You", which brought the band some success in the mid-1990s and was the group's biggest mainstream hit, earning extensive exposure on MTV, VH1, and radio airplay. Roback and Sandoval were the creative center of the band, with Sandoval as lyricist and Roback as composer of the majority of the band's material until his death in Los Angeles on February 24, 2020, from metastatic cancer. Mazzy Star's founding drummer Keith Mitchell, originally part of Opal, died on May 14, 2017 from cancer.
Answer: Mazzy Star was formed in Santa Monica, California in 1988
Question: What existing corpus is used for comparison in these experiments?
Evidence: In order to choose an embedding, we sought a dataset to represent our problem. Although no perfect matches exist, we decided upon the Quora duplicate question dataset BIBREF22 as the best match. To study the embeddings, we computed the euclidean distance between the two questions using various embeddings, to study the distance between semantically similar and dissimilar questions.
Although no perfect matches exist, we decided upon the Quora duplicate question dataset BIBREF22 as the best match. To study the embeddings, we computed the euclidean distance between the two questions using various embeddings, to study the distance between semantically similar and dissimilar questions.
Answer: The answers are shown as follows:
* Quora duplicate question dataset BIBREF22
Question: Give me a list of Serie A winners in the last five years with corresponding points.
Answer: 2021-2022: AC Milan, 86
2020-2021: Inter, 91
2019-2020: Juventus, 83
2018-2019: Juventus, 90
2017-2018: Juventus, 95
Question: What units are there in RST?
Evidence: In RST, there are tow discursive units: nuclei and satellites. The nucleus provide information pertinent to the purposes of the author of the text and the satellites add additional information to the nucleu, on which they are dependent on. In the context of RST, possible discursive relationships may be nucleus-satellite and multinuclear. In nucleus-satellite relationships, a satellite depends on one nucleus, whereas in multinuclear relationships, several nuclei (at least two) are regrouped at the same level of importance (tree hierarchy). Thus, in the discursive segmentation proposes to reduce the text into the minimal discursive units called Elementary Discursive Units (EDU), through the use of explicit discursive markers. As an example, we can quote some markers in French:
afin de, pour que, donc, quand bien même que, ensuite, de fois que, globativamente, par contre, sinon, à ce moment-là, cependant, subséquemment, puisque, au fur et à mesure que, si, finalement, etc..
Markers or particles are often used to connect ideas. Let's consider the sentence below:
La ville d'Avignon est la capitale du Vaucluse, qui est un département du sud de la France.
qui (which) is a discursive marker because it connects two ideas. The first one, “Avignon City is the capital of Vaucluse” (La ville d'Avignon est la capitale du Vaucluse), and the second one (satellite), “[Vaucluse] is a department in the south of France” ([Vaucluse] est un département du sud de la France). Several research has addressed automatic segmentation in several languages, such as: French BIBREF4, English BIBREF5, Portuguese BIBREF6, Spanish BIBREF7, BIBREF8 and Tahi. BIBREF9. All converge to the idea of using an explicit list of marks in order to segment texts.
In RST, there are tow discursive units: nuclei and satellites.
Answer: Nuclei and satellites.
Question: What is a data pipeline?
Answer: A data pipeline is a means of moving data from the data source to a destination. Along the way, data is transformed and enriched, arriving in a cleaner, more organized state. As a result, organizations are able to use that data to achieve their intended outcomes.
Question: What is a good Science fiction book?
Answer: Foundation by Asimov, Isaac
Question: Given a reference text about magnetism, tell me the definition of magnetism and how magnetic materials are classified.
Evidence: Magnetism is the class of physical attributes that are mediated by a magnetic field, which refers to the capacity to induce attractive and repulsive phenomena in other entities. Electric currents and the magnetic moments of elementary particles giving rise to a magnetic field, which acts on other currents and magnetic moments. Magnetism is one aspect of the combined phenomena of electromagnetism. The most familiar effects occur in ferromagnetic materials, which are strongly attracted by magnetic fields and can be magnetized to become permanent magnets, producing magnetic fields themselves. Demagnetizing a magnet is also possible. Only a few substances are ferromagnetic; the most common ones are iron, cobalt, and nickel and their alloys. The rare-earth metals neodymium and samarium are less common examples. The prefix ferro- refers to iron because permanent magnetism was first observed in lodestone, a form of natural iron ore called magnetite, Fe3O4.

All substances exhibit some type of magnetism. Magnetic materials are classified according to their bulk susceptibility. Ferromagnetism is responsible for most of the effects of magnetism encountered in everyday life, but there are actually several types of magnetism. Paramagnetic substances, such as aluminium and oxygen, are weakly attracted to an applied magnetic field; diamagnetic substances, such as copper and carbon, are weakly repelled; while antiferromagnetic materials, such as chromium and spin glasses, have a more complex relationship with a magnetic field. The force of a magnet on paramagnetic, diamagnetic, and antiferromagnetic materials is usually too weak to be felt and can be detected only by laboratory instruments, so in everyday life, these substances are often described as non-magnetic.
Answer: Magnetism is defined as the physical attributes that are mediated by a magnetic field, which is the capacity to induce attractive and repulsive forces. Magnetic materials are classified by their bulk susceptibility.
Question: classify the following spending items as either grocery, entertainment, food & drink, travel, bills: caltrain, train, nijiya market, dinner, internet bill, plane, boba, bar
Answer: bar should be food & drink, boba should be food & drink, plane should be travel, dinner should be food & drink, nijiya market should be grocery, caltrain should be travel
Question: What is longer, 5 pounds or 10 kilograms?
Answer: Unfortunately, I can't answer that question. Pounds and kilograms are both units of weight, not of length.
Question: What is the inadequacy of the study of Johnson et al.?
Evidence: Multilingual language models is not a new idea BIBREF3 , the novelty of our work lies primarily in the use of language vectors and the empirical evaluation using nearly a thousand languages.
Concurrent with this work, Johnson2016zeroshot conducted a study using neural machine translation (NMT), where a sub-word decoder is told which language to generate by means of a special language identifier token in the source sentence. This is close to our model, although beyond a simple interpolation experiment (as in our sec:generating) they did not further explore the language vectors, which would have been challenging to do given the small number of languages used in their study.
Ammar2016manylanguages used one-hot language identifiers as input to a multilingual word-based dependency parser, based on multilingual word embeddings. Given that they report this resulting in higher accuracy than using features from a typological database, it is a reasonable guess that their system learned language vectors which were able to encode syntactic properties relevant to the task. Unfortunately, they also did not look closer at the language vector space, which would have been interesting given the relatively large and diverse sample of languages represented in the Universal Dependencies treebanks.
Our evaluation in sec:clustering calls to mind previous work on automatic language classification, by Wichmann2010evaluating among others. However, our purpose is not to detect genealogical relationships, even though we use the strong correlation between such classifications and our language vectors as evidence that the vector space captures sensible information about languages.
Concurrent with this work, Johnson et al. (2016) conducted a study using neural machine translation (NMT), where a sub-word decoder is told which language to generate by means of a special language identifier token in the source sentence. This is close to our model, although beyond a simple interpolation experiment (as in our Section 5.3) they did not further explore the language vectors, which would have been challenging to do given the small number of languages used in their study.
Answer: They did not further explore the language vectors, which would have been challenging to do given the small number of languages used in their study.