DataHammer/scimrc huggingface dataset:
Question: What is the biggest land mammal?
Answer: The answer depends on how you measure size and whether you are talking about living animals or extinct animals.

The heaviest living land mammal is the African elephant at 7 tons. The tallest is the giraffe at 19 feet.

The largest extinct land mammal is not known for sure, and new fossils may be discovered at any time, but in 2021 palaeontologists claimed that a new species of giant rhino - Paraceratherium linxiaense - was likely the heaviest known at around 24 tons.
Question: categorize some popular sports as either 'safe', 'not so safe' or 'dangerous'.
Answer: safe: pingpong, golf, chess, curling, cross county skiing, archery
not so safe: soccer, basketball, bicycling, baseball, tenniss
dangerous: skiing, surfing, American Football, race car driving, sky diving
Question: Which female artists sold over 40 million copies of an album?
Answer: Only 2 female artists sold over 40 million copies of an album. 
- Whitney Houston / various artists "The Bodyguard" in 1992
- Shania Twain "Come On Over" in 1997
Question: Polly, a 51-year-old female, visits your fitness facility. Polly has been told she has pre-diabetes. Explain to her what this means. What role can exercise play in reversing this?
Answer: From a scientific point of view, this means that she is insulin resistant, but she does not have hyperglycemia. As a result, she should be concerned; she is at a high risk for developing type 2 diabetes. The health risks are numerous: damage to blood vessels, high blood pressure, obesity, osteoporosis (thinning bones), and even certain types of cancer like colon, breast, and prostate. However, she can lower insulin resistance and mitigate her risk of pre-diabetes by improving her exercise habits. According to ACSM’s Health and Fitness Journal, almost “all physical activity has a positive effect on insulin.” To maximize efficacy, she should focus on moderate to higher intensity physical activities to best enhance insulin action and glycemic control.
Question: What movie received the most nominations for the 70th Academy Awards?
Evidence: The nominees for the 70th Academy Awards were announced on February 10, 1998, at the Samuel Goldwyn Theater in Beverly Hills, California, by Robert Rehme, president of the academy, and actress Geena Davis. Titanic received the most nominations with a record-tying fourteen (1950's All About Eve, and later 2016's La La Land, also achieved this distinction); Good Will Hunting and L.A. Confidential came in second with nine apiece.
Answer: Titanic received the most nominations at fourteen nominations at the 70th Academy Awards
Question: Who wrote the book "The 7 Habits of Highly Effective Families" ?
Answer: Stephen R. Covey
Question: How tall is Mt. Shakspere?
Evidence: Mount Shakspere is a 12,174-foot-elevation (3,711 meter) summit located in Fresno County, California, United States.

Description
The mountain is set four miles west of the crest of the Sierra Nevada mountain range, in the Palisades area of Kings Canyon National Park. It is situated 4.5 miles (7.2 km) southwest of Middle Palisade, 3.5 miles (5.6 km) southeast of Giraud Peak, and one mile north-northwest of line parent Observation Peak. Mt. Shakspere ranks as the 384th-highest summit in California, and topographic relief is significant as the summit rises over 3,500 feet (1,100 meters) above Palisade Creek in approximately one mile (1.6 km). The first ascent of the summit was made July 20, 1930, by Francis P. Farquhar, Mary Lou Michaels, Doris Drust, Lorna Kilgariff, and Robert L. Lipman. This mountain's name has been officially adopted by the United States Board on Geographic Names.
Answer: Mount Shakspere is 12,174 feet tall
Question: Do they compare to previous models?
Evidence: To systematically evaluate the importance of the clinical sentiment values extracted from the free text in EHRs, we first build a baseline model using the structured features, which are similar to prior studies on readmission risk prediction BIBREF6. We then compare two models incorporating the unstructured features. In the "Baseline+Domain Sentences" model, we consider whether adding the counts of sentences per EHR that involve each of the seven risk factor domains as identified by our topic extraction model improved the model performance. In the "Baseline+Clinical Sentiment" model, we evaluate whether adding clinical sentiment scores for each risk factor domain improved the model performance. We also experimented with combining both sets of features and found no additional improvement.
To systematically evaluate the importance of the clinical sentiment values extracted from the free text in EHRs, we first build a baseline model using the structured features, which are similar to prior studies on readmission risk prediction BIBREF6.
Answer: Yes.
Question: How does new evaluation metric considers critical informative entities?
Evidence: In this case, the summary has a high ROUGE score, as it has a considerable proportion of word overlap with the reference summary. However, it still has poor relevance and readability, for leaving out one of the most critical information: [time]. ROUGE treats each word equally in computing n-gram overlap while the informativeness actually varies: common words or phrases (e.g. “You are going to") significantly contribute to the ROUGE score and readability, but they are almost irrelevant to essential contents. The semantic slot values (e.g. [restaurant_name], [time]) are more essential compared to other words in the summary. However, ROUGE did not take this into consideration. To address this drawback in ROUGE, we propose a new evaluation metric: Critical Information Completeness (CIC). Formally, CIC is a recall of semantic slot information between a candidate summary and a reference summary. CIC is defined as follows:
where $V$ stands for a set of delexicalized values in the reference summary, $Count_{match}(v)$ is the number of values co-occurring in the candidate summary and reference summary, and $m$ is the number of values in set $V$. In our experiments, CIC is computed as the arithmetic mean over all the dialog domains to retain the overall performance.
CIC is a suitable complementary metric to ROUGE because it accounts for the most important information within each dialog domain. CIC can be applied to any summarization task with predefined essential entities. For example, in news summarization the proper nouns are the critical information to retain.
To address this drawback in ROUGE, we propose a new evaluation metric: Critical Information Completeness (CIC). Formally, CIC is a recall of semantic slot information between a candidate summary and a reference summary. CIC is defined as follows:

where $V$ stands for a set of delexicalized values in the reference summary, $Count_{match}(v)$ is the number of values co-occurring in the candidate summary and reference summary, and $m$ is the number of values in set $V$. In our experiments, CIC is computed as the arithmetic mean over all the dialog domains to retain the overall performance.

CIC is a suitable complementary metric to ROUGE because it accounts for the most important information within each dialog domain. CIC can be applied to any summarization task with predefined essential entities.
Answer: Answer with content missing: (formula for CIC) it accounts for the most important information within each dialog domain. CIC can be applied to any summarization task with predefined essential entities
Question: what is the indian subcontinent
Evidence: The Indian subcontinent is a physiographical region in Southern Asia, situated on the Indian Plate, projecting southwards into the Indian Ocean from the Himalayas.
Answer: The Indian subcontinent is a physiographical region in Southern Asia, situated on the Indian Plate, projecting southwards into the Indian Ocean from the Himalayas. Geopolitically, it includes the countries of Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. The terms "Indian subcontinent" and "South Asia" are often used interchangeably to denote the region, although the geopolitical term of South Asia frequently includes Afghanistan, which may otherwise be classified as Central Asian.
Question: Why does the team choose 1975 as the starting year when using Medline titles and abstracts from NLM 2015 Medline baseline?
Evidence: We build an INLINEFORM0 similarity matrix using an external corpus where the rows and columns represent words within the corpus and the element contains the similarity score between the row word and column word using the similarity measures discussed above. If a word maps to more than one possible sense, we use the sense that returns the highest similarity score.
For this paper our external corpus was the NLM 2015 Medline baseline. Medline is a bibliographic database containing over 23 million citations to journal articles in the biomedical domain and is maintained by National Library of Medicine. The 2015 Medline Baseline encompasses approximately 5,600 journals starting from 1948 and contains 23,343,329 citations, of which 2,579,239 contain abstracts. In this work, we use Medline titles and abstracts from 1975 to present day. Prior to 1975, only 2% of the citations contained an abstract. We then calculate the similarity for each bigram in this dataset and include those that have a similarity score greater than a specified threshold on these experiments.
In this work, we use Medline titles and abstracts from 1975 to present day. Prior to 1975, only 2% of the citations contained an abstract.
Answer: Because before the year 1975, only 2% of the citations contained an abstract.
Question: What does it mean for a function to be computable?
Answer: Although informally a function is computable if its values can be calculated, Alan Turing, Alonzo Church, and Kurt Godel each had formal definitions of computablility, namely Turing Machines, Lambda Calculus, and general recursive functions.  When it was shown in the Church-Turing thesis that these three formulations are equivalent, it became more clear that they could be used as a formal definition of computability.
Question: Are the word embeddings tested on a NLP task?
Evidence: To analyse the results we chose to use the test provided by BIBREF10, which consists of $19\,791$ analogies divided into 19 different categories: 6 related to the “semantic" macro-area (8915 analogies) and 13 to the “syntactic" one (10876 analogies). All the analogies are composed by two pairs of words that share a relation, schematized with the equation: $a:a^{*}=b:b^{*}$ (e.g. “man : woman = king : queen"); where $b^{*}$ is the word to be guessed (“queen"), $b$ is the word coupled to it (“king"), $a$ is the word for the components to be eliminated (“man"), and $a^{*}$ is the word for the components to be added (“woman").
To analyse the results we chose to use the test provided by BIBREF10, which consists of $19\,791$ analogies divided into 19 different categories: 6 related to the “semantic" macro-area (8915 analogies) and 13 to the “syntactic" one (10876 analogies). All the analogies are composed by two pairs of words that share a relation, schematized with the equation: $a:a^{*}=b:b^{*}$ (e.g. “man : woman = king : queen"); where $b^{*}$ is the word to be guessed (“queen"), $b$ is the word coupled to it (“king"), $a$ is the word for the components to be eliminated (“man"), and $a^{*}$ is the word for the components to be added (“woman").
Answer: Yes.
Question: What datasets were used for this work?
Evidence: The TB-Dense dataset mitigates this issue by forcing annotators to examine all pairs of events within the same or neighboring sentences, and it has been widely evaluated on this task BIBREF3, BIBREF4, BIBREF19, BIBREF5. Recent data construction efforts such as MATRES BIBREF25 further enhance the data quality by using a multi-axis annotation scheme and adopting a start-point of events to improve inter-annotator agreements. We use TB-Dense and MATRES in our experiments and briefly summarize the data statistics in Table TABREF33.
We use TB-Dense and MATRES in our experiments and briefly summarize the data statistics in Table TABREF33.
Answer: The answers are shown as follows:
* TB-Dense
*  MATRES
Question: Identify which instrument is string or percussion: Tom-tom drum, Viola de arame
Answer: Viola de arame is string, Tom-tom drum is percussion.
Question: What was the Tower Chowk renamed?
Evidence: Rajendra Tower (Hindi: राजेंद्र टावर), locally known as Tower Chowk, is a historic clock tower in Gaya, Bihar, India. Built sometime between 1910 and 1914 during the British rule by the-then collector George Oldhum, it was renamed as Rajendra Tower after the first Indian president Dr. Rajendra Prasad in 1981 by the administration of Bihar's Chief Minister Jagannath Mishra. The tower is widely considered to be the symbol of the city.

History
The clock tower was built during the British Raj by George Oldhum, the-then collector of Gaya district, which was under Bihar and Orissa Province sometime between 1910 and 1914. The clock tower gradually became symbolic for the city of Gaya. After the end of British rule in 1947, the clock tower eventually became the property of the new Indian state of Bihar. It was renamed Rajendra Tower in 1981 after Dr. Rajendra Prasad, the first President of India by the administration of Jagannath Mishra, the-then Chief Minister of Bihar. According to locals, there were four clocks in the tower on each side and people used to hear the chimes of the clock from meters away whereas pedestrians used to match their accurate time by taking the reference of the clock. Due to the presence of the clock tower, the area gradually became a commercial district and goes by the name of Tower Chowk.
Answer: The tower Chowk was renamed as Rajendra Tower after the passing of the president Dr. Rajendra Prasad.
Question: What is Cup Game?
Evidence: The cup game is a children's clapping game that involves tapping and hitting a cup using a defined rhythm.
Answer: The cup game is a children's clapping game that involves tapping and hitting a cup using a defined rhythm. The game can be played by many players seated around a table and is often played in large groups. Each player possesses a cup and in unison the players tap out the defined rhythm using their cups. It can be played competitively, where the rhythm speeds up in each "round", and a player making a mistake in the rhythm must drop out of the game, with a new "round" starting after each elimination, and game play continuing until only one player remains, with that player being the winner.
Question: Given the reference text about the marathon, who currently holds the men's record in the marathon?
Evidence: World records were not officially recognized by the IAAF until 1 January 2004; previously, the best times for the marathon were referred to as the 'world best'. Courses must conform to IAAF standards for a record to be recognized. However, marathon routes still vary greatly in elevation, course, and surface, making exact comparisons impossible. Typically, the fastest times are set over relatively flat courses near sea level, during good weather conditions and with the assistance of pacesetters.

The current world record time for men over the distance is 2 hours 1 minute and 09 seconds, set in the Berlin Marathon by Eliud Kipchoge of Kenya on 25 September 2022, an improvement of 30 seconds over the previous record also set in the Berlin Marathon by Eliud Kipchoge, on 16 September 2018.

The world record for women was set by Brigid Kosgei of Kenya in the Chicago Marathon on 13 October 2019, in 2 hours 14 minutes and 4 seconds who broke the record Paula Radcliffe of Great Britain had set over 16 years earlier at the London Marathon.
Answer: The current men's world record in the marathon is held by Eliud Kipchoge, who ran the Berlin Marathon on September 25th 2022 with a time of 2 hours 1 minute and 09 seconds.
Question: Identify which instrument is string or percussion: Bendir, Rabel
Answer: Rabel is string, Bendir is percussion.
Question: What do Jerry Seinfeld and Larry David have to say about Seinfeld being called "a show about nothing"?
Evidence: The series was often described as "a show about nothing." However, in 2014, Seinfeld stated: "The pitch for the show, the real pitch, when Larry and I went to NBC in 1988, was we want to show how a comedian gets his material. The show about nothing was just a joke in an episode many years later, and Larry and I to this day are surprised that it caught on as a way that people describe the show, because to us it's the opposite of that." David similarly commented: "I like taking the worst qualities that a person has and trying to make something funny out of it. Doesn’t everybody do terrible things and have terrible thoughts? Just by trying to be as funny, you’re going to deal with a lot of things that are real, so the show’s really about something. The whole thing about the show being about nothing is ridiculous." Much of the show's humor is based upon repeated use of irony, incongruity and (oftentimes unfortunate) coincidences.
Answer: Larry and Jerry are surprised that the "a show about nothing" phrase caught on as a way that people describe the show, and they are not fond of that description of the show.

Larry David commented, "...the show’s really about something. The whole thing about the show being about nothing is ridiculous". Larry states that the show is about "taking the worst qualities that a person has and trying to make something funny out of it". Jerry mentioned that the show was about "how a comedian gets his material".
Question: How many genres did they collect from?
Evidence: From the description of music genres provided above emerges that there is a limited number of super-genres and derivation lines BIBREF19, BIBREF20, as shown in figure FIGREF1.
From a computational perspective, genres are classes and, although can be treated by machine learning algorithms, they do not include information about the relations between them. In order to formalize the relations between genres for computing purposes, we define a continuous genre scale from the most experimental and introverted super-genre to the most euphoric and inclusive one. We selected from Wikipedia the 77 genres that we mentioned in bold in the previous paragraph and asked to two independent raters to read the Wikipedia pages of the genres, listen to samples or artists of the genres (if they did not know already) and then annotate the following dimensions:
From the description of music genres provided above emerges that there is a limited number of super-genres and derivation lines BIBREF19, BIBREF20, as shown in figure FIGREF1.

From a computational perspective, genres are classes and, although can be treated by machine learning algorithms, they do not include information about the relations between them. In order to formalize the relations between genres for computing purposes, we define a continuous genre scale from the most experimental and introverted super-genre to the most euphoric and inclusive one. We selected from Wikipedia the 77 genres that we mentioned in bold in the previous paragraph and asked to two independent raters to read the Wikipedia pages of the genres, listen to samples or artists of the genres (if they did not know already) and then annotate the following dimensions:
Answer: The answers are shown as follows:
* 77 genres
Question: Use the text to tell me what competitions Irina Aksyonova won or placed highly in.
Evidence: Irina Anatolyevna Aksyonova (also Aksenova, Russian: Ирина Анатольевна Аксёнова; born 24 September 1962) is a retired Russian swimmer. She won bronze medals in the 4 × 100 m medley relay at the 1978 World Aquatics Championships and 1980 Summer Olympics, where she swam for the Soviet Union team in the preliminaries. At the 1980 Olympics she also finished fourth in the 800 m, fifth in the 400 m and eighth in the 200 m freestyle events.

Between 1977 and 1980 she won seven national titles and set five national records in 200–800 m freestyle events. However, when her medley relay team finished third at the 1978 World Championships, she was swimming the 100 m butterfly leg. Currently she lives in Czech Republic.
Answer: Irina Aksyonova placed highly or won medals in many competitions, including the 1978 World Aquatics Championships, where she won a bronze medal, and the 1980 Summer Olympics where she won a bronze medal and also placed highly in the 800 meter, 400 meter, and 200 meter freestyle event. She also won third place in the 1978 World Championships. She also won seven national titles.
Question: What is orange wine?
Answer: Orange wine is a type of wine made from white wine grapes where the grape skins are not removed as it is the case for white wine. The skins stay in contact with the juice for days or even months, which gives the wine its color, flavour and texture.
Question: In the provided text multiple examples of a metric are given. Extract the third example of a metric.
Evidence: In mathematics, a metric space is a set together with a notion of distance between its elements, usually called points. The distance is measured by a function called a metric or distance function. Metric spaces are the most general setting for studying many of the concepts of mathematical analysis and geometry.

The most familiar example of a metric space is 3-dimensional Euclidean space with its usual notion of distance. Other well-known examples are a sphere equipped with the angular distance and the hyperbolic plane. A metric may correspond to a metaphorical, rather than physical, notion of distance: for example, the set of 100-character Unicode strings can be equipped with the Hamming distance, which measures the number of characters that need to be changed to get from one string to another.

Since they are very general, metric spaces are a tool used in many different branches of mathematics. Many types of mathematical objects have a natural notion of distance and therefore admit the structure of a metric space, including Riemannian manifolds, normed vector spaces, and graphs. In abstract algebra, the p-adic numbers arise as elements of the completion of a metric structure on the rational numbers. Metric spaces are also studied in their own right in metric geometry and analysis on metric spaces.

Many of the basic notions of mathematical analysis, including balls, completeness, as well as uniform, Lipschitz, and Hölder continuity, can be defined in the setting of metric spaces. Other notions, such as continuity, compactness, and open and closed sets, can be defined for metric spaces, but also in the even more general setting of topological spaces.
Answer: The third metric or distance function that was encountered in this example is the Hamming distance. The Hamming distance measures the number of character changes that are needed to transform a given string to another.
Question: The following words describe 'active' or 'passive' types of engagement. Identify which are 'active' and which are 'passive': create, consume, participate, build, make, watch, listen, and lead.
Answer: 'Active' words: create, lead, participate, make, build
'Passive' words: watch, consume, listen