DataHammer/scimrc huggingface dataset:
Question: Given the following passage about Theodore Roosevelt, please list the main accomplishments during his presidency.
Evidence: Roosevelt assumed the presidency at age 42, and remains the youngest person to become president of the United States. As a leader of the progressive movement he championed his "Square Deal" domestic policies. It called for fairness for all citizens, breaking of bad trusts, regulation of railroads, and pure food and drugs. Roosevelt prioritized conservation and established national parks, forests, and monuments to preserve the nation's natural resources. In foreign policy, he focused on Central America, where he began construction of the Panama Canal. Roosevelt expanded the Navy and sent the Great White Fleet on a world tour to project American naval power. His successful efforts to broker the end of the Russo-Japanese War won him the 1906 Nobel Peace Prize, making him the first American to ever win a Nobel Prize. Roosevelt was elected to a full term in 1904 and promoted policies more to the left, despite growing opposition from Republican leaders. During his presidency, he groomed his close ally William Howard Taft to succeed him in the 1908 presidential election.
Answer: 1) Championed the breaking of bad trusts, railroad regulation, and pure food and drugs
2) Established national parks, forests, and monuments
3) Began construction of the Panama Canal
4) Expanded the navy
5) Brokered the peace treaty of the Russo-Japanese war
Question: To which family does the Chasenella belong to
Answer: Chasenella is a genus of harvestmen in the family Sclerosomatidae from Borneo.
Question: Name some of the well-known superheroes of Marvel Comics as per the passage.
Evidence: Marvel Comics is an American comic book publisher and the flagship property of Marvel Entertainment, a division of The Walt Disney Company since September 1, 2009. Evolving from Timely Comics in 1939, Magazine Management/Atlas Comics in 1951 and its predecessor, Marvel Mystery Comics, the Marvel Comics title/name/brand was first used in June 1961.

Marvel was started in 1939 by Martin Goodman as Timely Comics, and by 1951 had generally become known as Atlas Comics. The Marvel era began in June 1961 with the launch of The Fantastic Four and other superhero titles created by Stan Lee, Jack Kirby, Steve Ditko and many others. The Marvel brand, which had been used over the years and decades, was solidified as the company's primary brand.

Marvel counts among its characters such well-known superheroes as Spider-Man, Iron Man, Captain America, Thor, Doctor Strange, Hulk, Daredevil, Wolverine, Black Panther and Captain Marvel, as well as popular superhero teams such as the Avengers, X-Men, Fantastic Four, and Guardians of the Galaxy. Its stable of well-known supervillains includes the likes of Doctor Doom, Magneto, Ultron, Thanos, Kang the Conqueror, Green Goblin, Galactus, Loki, and Kingpin. Most of Marvel's fictional characters operate in a single reality known as the Marvel Universe, with most locations mirroring real-life places; many major characters are based in New York City, New York, United States. Additionally, Marvel has published several licensed properties from other companies. This includes Star Wars comics twice from 1977 to 1986 and again since 2015.
Answer: Spider-Man, Iron Man, Captain America, Thor, Doctor Strange, Hulk, Daredevil, Wolverine, Black Panther and Captain Marvel.
Question: Classify each of the following as either a type of coffee bean or a Latin dance style: bachata, huehuetenango, tango, Jamaican Blue mountain, merengue, salsa, Tanzanian Peaberry, Ethiopian Harrar, Kenya AA, flamenco
Answer: Coffee bean: huehuetenango, Jamaican Blue mountain, Tanzanian Peaberry, Ethiopian Harrar, Kenya AA
Latin dance style: bachata, tango, merengue, salsa, flamenco
Question: Of which generation is Jiang the core leader of China
Evidence: Jiang Zemin (17 August 1926 – 30 November 2022) was a Chinese politician who served as general secretary of the Chinese Communist Party (CCP) from 1989 to 2002, as chairman of the Central Military Commission from 1989 to 2004, and as president of China from 1993 to 2003. Jiang was paramount leader of China from 1989 to 2002. He was the core leader of the third generation of Chinese leadership, one of four core leaders alongside Mao Zedong, Deng Xiaoping and Xi Jinping.

Born in Yangzhou, Jiangsu, Jiang joined the CCP while he was in college. After the establishment of the People's Republic of China in 1949, he received training at the Stalin Automobile Works in Moscow in the 1950s, later returning to Shanghai in 1962 to serve in various institutes, later being sent between 1970-1972 to Romania as part of an expert team to establish machinery manufacturing plants in the country. After 1979, he was appointed as the vice chair of two commissions by vice premier Gu Mu to oversee the newly-established special economic zones (SEZs). He became the vice minister of the newly-established Ministry of Electronics Industry and a member of the CCP Central Committee in 1982.

Jiang was appointed as the mayor of Shanghai in 1985, later being promoted to its Communist Party secretary, as well as a member of the CCP Politburo, in 1987. Jiang came to power unexpectedly as a compromise candidate following the 1989 Tiananmen Square protests and massacre, when he replaced Zhao Ziyang as CCP general secretary after Zhao was ousted for his support for the student movement. As the involvement of the "Eight Elders" in Chinese politics steadily declined, Jiang consolidated his hold on power to become the "paramount leader" in the country during the 1990s. Urged by Deng Xiaoping's southern tour in 1992, Jiang officially introduced the term "socialist market economy" in his speech during the 14th CCP National Congress held later that year, which accelerated "opening up and reform".

Under Jiang's leadership, China experienced substantial economic growth with the continuation of market reforms. The returning of Hong Kong from the United Kingdom in 1997 and of Macau from Portugal in 1999, and entry into the World Trade Organisation in 2001, were landmark moments of his era. China also witnessed improved relations with the outside world, while the Communist Party maintained its tight control over the state. Jiang faced criticism over human rights abuses, including the crackdown on the Falun Gong movement. His contributions to party doctrine, known as the "Three Represents", were written into the CCP constitution in 2002. Jiang gradually vacated his official leadership titles from 2002 to 2005, being succeeded in these roles by Hu Jintao, although he and his political faction continued to influence affairs until much later. On 30 November 2022, Jiang died from leukemia and multiple organ failure in Shanghai.
Answer: He is the third generation of Chinese leadership
Question: which datasets were used in evaluation?
Evidence: FLOAT SELECTED: Table 1: Datasets used for training, development and evaluation. MUC7: only three classes (LOC, ORG, PER) of the formal run are used for out-of-domain evaluation. As there are not standard partitions of SONAR-1 and Ancora 2.0, the full corpus was used for training and later evaluated in-out-of-domain settings.
FLOAT SELECTED: Table 1: Datasets used for training, development and evaluation. MUC7: only three classes (LOC, ORG, PER) of the formal run are used for out-of-domain evaluation. As there are not standard partitions of SONAR-1 and Ancora 2.0, the full corpus was used for training and later evaluated in-out-of-domain settings.
Answer: CoNLL 2003, GermEval 2014, CoNLL 2002, Egunkaria, MUC7, Wikigold, MEANTIME, SONAR-1, Ancora 2.0
Question: Give me a bulleted list of the three trimesters and the corresponding weeks of pregnancy
Evidence: Trimesters
Pregnancy is divided into three trimesters, each lasting for approximately three months.

The first trimester begins with the start of gestational age as described above, that is, the beginning of week 1, or 0 weeks + 0 days of gestational age (GA). It ends at week 12 (11 weeks + 6 days of GA) or end of week 14 (13 weeks + 6 days of GA).
The second trimester is defined as starting, between the beginning of week 13 (12 weeks +0 days of GA) and beginning of week 15 (14 weeks + 0 days of GA). It ends at the end of week 27 (26 weeks + 6 days of GA) or end of week 28 (27 weeks + 6 days of GA).
The third trimester is defined as starting, between the beginning of week 28 (27 weeks + 0 days of GA) or beginning of week 29 (28 weeks + 0 days of GA). It lasts until childbirth.
Answer: - First trimester is from 0-12 weeks
- Second trimester is from 12-28 weeks
- Third trimester is from 28 weeks until birth
Question: Who is Geling Yan?
Answer: Geling Yan is a Chinese-American author and was once a ballet dancer. Geling was born in Shanghai in 1958. She began performing as a ballet dancer at 12, and worked as a journalist in the Sino-Vietnamese War.

Yan's first husband was Kewei Li, son of writer Zhun Li. After divorcing Li, Yan later remarried Laurence A. Walker, a U.S. diplomat. They have an adopted daughter, Yanyan.

In 2011, Yimou Zhang adapted Yan's novel, The Flowers of War, into a hit movie. In 2014, her novel, The Prisoner Lu Yanshi, was adapted by Zhang into the movie Coming Home.
Question: Which was the 5th largest recipient of FDI in world in 2020
Answer: India
Question: Tell me whether these are College Football teams or NFL teams: Georgia, Giants, Chiefs, Panthers, Michigan, Texas Christian, Ohio State
Answer: Georgia is a college football team.
Giants are a NFL football team.
Chiefs are a NFL football team.
Panthers are a NFL football team.
Michigan is a college football team.
Texas Christian is a college football team.
Ohio State is a college football team.
Question: Whether sample-wise descent occurs only in the over-parameterized regime or not?
Evidence: This provides a theoretical proof of a phenomenon observed in (Nakkiran et al., 2021) that optimal regularization can mitigate double descent for anisotropic data. Note that without regularization, there will be a blow-up in expected excess risk when n = d (the linear model exactly interpolates the data) and therefore, there is no samplewise descent across the under- and over-parameterized regimes.
Answer: We showed in Theorem 4 that the samplewise descent occurs across the under- and over-parameterized regimes when we use the optimally-regularized estimator. Without regularization, there will be a blow-up in expected excess risk when n=d (the linear model exactly interpolates the data) and therefore, there is no samplewise descent across the under- and over-parameterized regimes. As per the reviewer's suggestion, we pointed out this explicitly in the revised Section 1.2.
Question: Does Alaska have six months of darkness and six months of light?
Answer: Contrary to what many people assume, Alaska does not have six exact months of darkness and six months of light. Depending on the time of year and the tilt of the Earth on its axis, Alaska will receive significantly less or more daylight than the contiguous United States due to how much closer the land is positioned near the North Pole. The further away from the equator means the more extreme the sun exposure or darkness will be. The northernmost city in Alaska, Utqiagvik, will be plunged in perpetual darkness for 64 days in the winter time; conversely, in the summer time, a similar amount of time will experience perpetual sunlight.
Question: What ages are considered newborn, toddler, child and teenager?
Answer: A newborn is typically from birth to 1 year old. A toddler is 1-5. A child is 5-12. A teenager is 12-18.
Question: How is their model different from BERT?
Evidence: Figure FIGREF9 illustrates the overall architecture of the proposed Attentional Encoder Network (AEN), which mainly consists of an embedding layer, an attentional encoder layer, a target-specific attention layer, and an output layer. Embedding layer has two types: GloVe embedding and BERT embedding. Accordingly, the models are named AEN-GloVe and AEN-BERT.
Figure FIGREF9 illustrates the overall architecture of the proposed Attentional Encoder Network (AEN), which mainly consists of an embedding layer, an attentional encoder layer, a target-specific attention layer, and an output layer. Embedding layer has two types: GloVe embedding and BERT embedding. Accordingly, the models are named AEN-GloVe and AEN-BERT.
Answer: The answers are shown as follows:
* overall architecture of the proposed Attentional Encoder Network (AEN), which mainly consists of an embedding layer, an attentional encoder layer, a target-specific attention layer, and an output layer.
Question: What is a way I can trick my mom into thinking I'm sick, so I can skip school today?
Answer: Get an oral thermometer and hold it close to a turned-on lightbulb so the thermometer will register a high temperature. Quickly put the thermometer in your mouth and call your mom over. Show her the high temperature and she will believe you have a fever. She will then keep you home from school.
Question: Does the dataset contain non-English reviews?
Evidence: For this aspect and opinion term extraction task, we use tokenized and annotated hotel reviews on Airy Rooms provided by BIBREF1. The dataset consists of 5000 reviews in bahasa Indonesia. The dataset is divided into training and test sets of 4000 and 1000 reviews respectively. The label distribution of the tokens in BIO scheme can be seen in Table TABREF3. In addition, we also see this case as on entity level, i.e. ASPECT, SENTIMENT, and OTHER labels.
The dataset consists of 5000 reviews in bahasa Indonesia.
Answer: Yes.
Question: Do they gather explicit user satisfaction data on Gunrock?
Evidence: From January 5, 2019 to March 5, 2019, we collected conversational data for Gunrock. During this time, no other code updates occurred. We analyzed conversations for Gunrock with at least 3 user turns to avoid conversations triggered by accident. Overall, this resulted in a total of 34,432 user conversations. Together, these users gave Gunrock an average rating of 3.65 (median: 4.0), which was elicited at the end of the conversation (“On a scale from 1 to 5 stars, how do you feel about talking to this socialbot again?"). Users engaged with Gunrock for an average of 20.92 overall turns (median 13.0), with an average of 6.98 words per utterance, and had an average conversation time of 7.33 minutes (median: 2.87 min.). We conducted three principal analyses: users' response depth (wordcount), backstory queries (backstorypersona), and interleaving of personal and factual responses (pets).
Together, these users gave Gunrock an average rating of 3.65 (median: 4.0), which was elicited at the end of the conversation (“On a scale from 1 to 5 stars, how do you feel about talking to this socialbot again?").
Answer: Yes.
Question: Name five teams in the German Bundesliga.
Answer: Five teams in the German Bundesliga are Bayern Munich, Union Berlin, RB Leipzig, Dortmund, and Leverkusen.
Question: Who is the best rock and roll drummer of all time?
Answer: John Bonham
Question: What kind of settings do the utterances come from?
Evidence: CN-Celeb specially focuses on Chinese celebrities, and contains more than $130,000$ utterances from $1,000$ persons.
CN-Celeb covers more genres of speech. We intentionally collected data from 11 genres, including entertainment, interview, singing, play, movie, vlog, live broadcast, speech, drama, recitation and advertisement. The speech of a particular speaker may be in more than 5 genres. As a comparison, most of the utterances in VoxCeleb were extracted from interview videos. The diversity in genres makes our database more representative for the true scenarios in unconstrained conditions, but also more challenging.
CN-Celeb specially focuses on Chinese celebrities, and contains more than $130,000$ utterances from $1,000$ persons.

CN-Celeb covers more genres of speech. We intentionally collected data from 11 genres, including entertainment, interview, singing, play, movie, vlog, live broadcast, speech, drama, recitation and advertisement. The speech of a particular speaker may be in more than 5 genres. As a comparison, most of the utterances in VoxCeleb were extracted from interview videos. The diversity in genres makes our database more representative for the true scenarios in unconstrained conditions, but also more challenging.
Answer: The answers are shown as follows:
* entertainment, interview, singing, play, movie, vlog, live broadcast, speech, drama, recitation and advertisement
Question: Separate the following suburbs into those that border, and do not border, the Brisbane River: Indooroopilly, Bulimba, St Lucia, Newstead, Wilston, West End, Toowong, Bowen Hills and, Wooloongabba.
Answer: St Lucia, West End, Toowong, Bulimba and Newstead border the Brisbane River. Wilston, Wooloongabba, Indooroopilly and Bowen Hills are inland and do not border the Brisbane River.
Question: what's the tallest mountain in the world
Evidence: Mount Everest is Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas. The China–Nepal border runs across its summit point. Its elevation of 8,848.86 m was most recently established in 2020 by the Chinese and Nepali authorities
Answer: Mount Everest
Question: When do Muslims fast?
Answer: Muslims fast during the holy month of Ramadan from dawn until dusk.
Question: Can animals like dog and cat get Kidney Stones ?
Evidence: Bladder stones or uroliths are a common occurrence in animals, especially in domestic animals such as dogs and cats. Occurrence in other species, including tortoises, has been reported as well. The stones form in the urinary bladder in varying size and numbers secondary to infection, dietary influences, and genetics. Stones can form in any part of the urinary tract in dogs and cats, but unlike in humans, stones of the kidney are less common and do not often cause significant disease, although they can contribute to pyelonephritis and chronic kidney disease. Types of stones include struvite, calcium oxalate, urate, cystine, calcium phosphate, and silicate. Struvite and calcium oxalate stones are by far the most common. Bladder stones are not the same as bladder crystals but if the crystals coalesce unchecked in the bladder they can become stones.
Answer: Yes animals like humans can get Kidney Stones. Bladder stones or uroliths are a common occurrence in animals, especially in domestic animals such as dogs and cats. Types of stones include struvite,  cystine, calcium oxalate, urate, calcium phosphate, and silicate. Struvite and calcium oxalate stones are by far the most common.
Question: What are some good places to go on vacation?
Answer: Some good spots to go on vacation include Paris, Las Vegas, New York, Hawaii, Italy, Orlando, San Francisco and Fiji.
Question: Can you list the ingredients used to make Gyeran-mari?
Evidence: Gyeran-mari (계란말이), Dalgyal-mari (달걀말이) or rolled omelette in Korean cuisine is a savory banchan (side dish) made with beaten eggs mixed with several finely diced ingredients. Common ingredients include vegetables (onion, carrot, Korean zucchini, scallions, garlic chives), mushroom, processed meat (ham, bacon, imitation crab meat, canned tuna), salt or salted seafood (salted pollock roe, salted shrimp), and cheese. Optionally, gim (seaweed) is folded with the omelette. When served, the omelette is cut into 2–3 centimetres (0.79–1.18 in) slices. It is also a common anju found at pojangmacha (street stalls).
Answer: Eggs
Mushrooms
Ham, bacon, imitation crab meat or canned tuna
Salt or salted seafood (salted pollock roe, salted shrimp)
Cheese

Other Vegetables such as:
Onions
Carrots
Korean zucchini
Scallions
Garlic
Chives

Optional:
Gim (seaweed)
Question: What do the authors investigate in this paper?
Evidence: Natural language inference (NLI) is a widely-studied problem in natural language processing. It aims at comparing a pair of sentences (i.e. a premise and a hypothesis), and inferring the relationship between them (i.e., entailment, neutral and contradiction). Large-scaled datasets like SNLI BIBREF0 and MultiNLI BIBREF1 have been created by crowd-sourcing and fertilized NLI research substantially.
However, several works BIBREF2, BIBREF3, BIBREF4 have pointed out that crowd-sourcing workers have brought a bias pattern named annotation artifacts in these NLI datasets. Such artifacts in hypotheses can reveal the labels and make it possible to predict the labels solely by looking at the hypotheses. For example, models trained on SNLI with only the hypotheses can achieve an accuracy of 67.0%, despite the always predicting the majority-class baseline is only 34.3% BIBREF2.
Classifiers trained on NLI datasets are supposed to make predictions by understanding the semantic relationships between given sentence pairs. However, it is shown that models are unintentionally utilizing the annotation artifacts BIBREF4, BIBREF2. If the evaluation is conducted under a similar distribution as the training data, e.g., with the given testing set, models will enjoy additional advantages, making the evaluation results over-estimated. On the other hand, if the bias pattern cannot be generalized to the real-world, it may introduce noise to models, thus hurting the generalization ability.
In this paper, we use cross-dataset testing to better assess models' generalization ability. We investigate the impacts of annotation artifacts in cross-dataset testing. Furthermore, we propose an easy-adopting debiasing training framework, which doesn't require any additional data or annotations, and apply it to the high-performing Densely Interactive Inference Network BIBREF5. Experiments show that our method can effectively mitigate the bias pattern and improve the cross-dataset generalization ability of models. To the best of our knowledge, our work is the first attempt to alleviate the annotation artifacts without any extra resources.
We investigate the impacts of annotation artifacts in cross-dataset testing.
Answer: They investigate the effects of annotation artifacts in cross-dataset testing.
Question: Which characters belong to DC or Marvel Universe? Captain America, Stargirl, Superman
Answer: Superman and Stargirl is DC, Captain America is Marvel
Question: Who was the first American president?
Answer: The first president of the United States was George Washington