DataHammer/scimrc huggingface dataset:
Question: Extract the countries that are named in the text separated by a comma.
Evidence: The Amazon rainforest, also called Amazon jungle or Amazonia, is a moist broadleaf tropical rainforest in the Amazon biome that covers most of the Amazon basin of South America. This basin encompasses 7,000,000 km2 (2,700,000 sq mi), of which 5,500,000 km2 (2,100,000 sq mi) are covered by the rainforest. This region includes territory belonging to nine nations and 3,344 formally acknowledged indigenous territories.

The majority of the forest, 60%, is in Brazil, followed by Peru with 13%, Colombia with 10%, and with minor amounts in Bolivia, Ecuador, French Guiana, Guyana, Suriname, and Venezuela. Four nations have "Amazonas" as the name of one of their first-level administrative regions, and France uses the name "Guiana Amazonian Park" for French Guiana's protected rainforest area. The Amazon represents over half of the planet's remaining rainforests, and comprises the largest and most biodiverse tract of tropical rainforest in the world, with an estimated 390 billion individual trees in about 16,000 species.

More than 30 million people of 350 different ethnic groups live in the Amazon, which are subdivided into 9 different national political systems and 3,344 formally acknowledged indigenous territories. Indigenous peoples make up 9% of the total population, and 60 of the groups remain largely isolated
Answer: Brazil, Peru, Colombia, Bolivia, Ecuador, French Guiana, Guyana, Suriname, Venezuela, France
Question: In which language task does the model perform better than others?
Evidence: Quality estimation (QE) refers to the task of measuring the quality of machine translation (MT) system outputs without reference to the gold translations BIBREF0 , BIBREF1 . QE research has grown increasingly popular due to the improved quality of MT systems, and potential for reductions in post-editing time and the corresponding savings in labor costs BIBREF2 , BIBREF3 . QE can be performed on multiple granularities, including at word level, sentence level, or document level. In this paper, we focus on quality estimation at word level, which is framed as the task of performing binary classification of translated tokens, assigning “OK” or “BAD” labels.
Early work on this problem mainly focused on hand-crafted features with simple regression/classification models BIBREF4 , BIBREF5 . Recent papers have demonstrated that utilizing recurrent neural networks (RNN) can result in large gains in QE performance BIBREF6 . However, these approaches encode the context of the target word by merely concatenating its left and right context words, giving them limited ability to control the interaction between the local context and the target word.
In this paper, we propose a neural architecture, Context Encoding Quality Estimation (CEQE), for better encoding of context in word-level QE. Specifically, we leverage the power of both (1) convolution modules that automatically learn local patterns of surrounding words, and (2) hand-crafted features that allow the model to make more robust predictions in the face of a paucity of labeled data. Moreover, we further utilize stacked recurrent neural networks to capture the long-term dependencies and global context information from the whole sentence.
We tested our model on the official benchmark of the WMT18 word-level QE task. On this task, it achieved highly competitive results, with the best performance over other competitors on English-Czech, English-Latvian (NMT) and English-Latvian (SMT) word-level QE task, and ranking second place on English-German (NMT) and German-English word-level QE task.
On this task, it achieved highly competitive results, with the best performance over other competitors on English-Czech, English-Latvian (NMT) and English-Latvian (SMT) word-level QE task, and ranking second place on English-German (NMT) and German-English word-level QE task.
Answer: English-Czech, English-Latvian (NMT) and English-Latvian (SMT) word-level QE task.
Question: Given these paragraphs about Asperger syndrome, what are typical interventions that help improve the person's ability to function in the everyday world?
Evidence: Asperger syndrome (AS), also known as Asperger's, is a neurodevelopmental condition characterized by significant difficulties in social interaction and nonverbal communication, along with restricted and repetitive patterns of behaviour and interests. The syndrome is no longer recognised as a diagnosis in itself, having been merged with other conditions into autism spectrum disorder (ASD). It was considered to differ from other diagnoses that were merged into ASD by relatively unimpaired spoken language and intelligence.

The syndrome was named after the Austrian pediatrician Hans Asperger, who, in 1944, described children in his care who struggled to form friendships, did not understand others' gestures or feelings, engaged in one-sided conversations about their favourite interests, and were clumsy. In 1994, the diagnosis of Asperger's was included in the fourth edition (DSM-IV) of the American Diagnostic and Statistical Manual of Mental Disorders; however, with the publication of DSM-5 in 2013 the syndrome was removed, and the symptoms are now included within autism spectrum disorder along with classic autism and pervasive developmental disorder not otherwise specified (PDD-NOS). It was similarly merged into autism spectrum disorder in the International Classification of Diseases (ICD-11) as of 2021.

The exact cause of Asperger's is poorly understood. While it has high heritability, the underlying genetics have not been determined conclusively. Environmental factors are also believed to play a role. Brain imaging has not identified a common underlying condition. There is no single treatment, and the UK's National Health Service (NHS) guidelines suggest that 'treatment' of any form of autism should not be a goal, since autism is not 'a disease that can be removed or cured'. According to the Royal College of Psychiatrists, while co-occurring conditions might require treatment, 'management of autism itself is chiefly about the provision of the education, training and social support/care required to improve the person's ability to function in the everyday world'. The effectiveness of particular interventions for autism is supported by only limited data. Interventions may include social skills training, cognitive behavioral therapy, physical therapy, speech therapy, parent training, and medications for associated problems, such as mood or anxiety. Autistic characteristics tend to become less obvious in adulthood, but social and communication difficulties usually persist.

https://en.wikipedia.org/wiki/Asperger_syndrome
Answer: Interventions may include social skills training, cognitive behavioral therapy, physical therapy, speech therapy, parent training, and medications for associated problems, such as mood or anxiety.
Question: I locked myself out of my apartment. Can you help me come up a few ways to get back in?
Answer: Here are a few ways you might be able to get back into your apartment.
* Try to recall if you left a spare key with a friend or under a doormat.
* Call your landlord or your building's front desk (if it has one) to see if they can let you in.
* If you have an open window, that's easily accessible, see if you can climb back into your apartment.
* Try calling a locksmith.
Question: What is the name of the largest train station in Amsterdam
Answer: The largest train station in Amsterdam is called Centraal Station.
Question: How long does it take for a mustard seed to germinate?
Evidence: Mustard seeds are the small round seeds of various mustard plants. The seeds are usually about 1 to 2 millimetres (0.039 to 0.079 in) in diameter and may be colored from yellowish white to black. They are an important spice in many regional foods and may come from one of three different plants: black mustard (Brassica nigra), brown mustard (B. juncea), or white mustard (Sinapis alba).

Grinding and mixing the seeds with water, vinegar or other liquids creates the yellow condiment known as prepared mustard.

Mustard seeds generally take eight to ten days to germinate if placed under the proper conditions, which include a cold atmosphere and relatively moist soil.
Answer: Mustard seeds generally take eight to ten days to germinate if placed under the proper conditions, which include a cold atmosphere and relatively moist soil.
Question: What do the authors investigate in this paper?
Evidence: Relation classification is the task of assigning sentences with two marked entities to a predefined set of relations. The sentence “We poured the <e1>milk</e1> into the <e2>pumpkin mixture</e2>.”, for example, expresses the relation Entity-Destination(e1,e2). While early research mostly focused on support vector machines or maximum entropy classifiers BIBREF0 , BIBREF1 , recent research showed performance improvements by applying neural networks (NNs) BIBREF2 , BIBREF3 , BIBREF4 , BIBREF5 , BIBREF6 , BIBREF7 on the benchmark data from SemEval 2010 shared task 8 BIBREF8 .
This study investigates two different types of NNs: recurrent neural networks (RNNs) and convolutional neural networks (CNNs) as well as their combination. We make the following contributions:
(1) We propose extended middle context, a new context representation for CNNs for relation classification. The extended middle context uses all parts of the sentence (the relation arguments, left of the relation arguments, between the arguments, right of the arguments) and pays special attention to the middle part.
(2) We present connectionist bi-directional RNN models which are especially suited for sentence classification tasks since they combine all intermediate hidden layers for their final decision. Furthermore, the ranking loss function is introduced for the RNN model optimization which has not been investigated in the literature for relation classification before.
(3) Finally, we combine CNNs and RNNs using a simple voting scheme and achieve new state-of-the-art results on the SemEval 2010 benchmark dataset.
This study investigates two different types of NNs: recurrent neural networks (RNNs) and convolutional neural networks (CNNs) as well as their combination.
Answer: Two different types of NNs: recurrent neural networks (RNNs) and convolutional neural networks (CNNs) as well as their combination.
Question: How can I do a figure skating salchow jump?
Answer: Assuming you want to jump counterclockwise, to do a salchow you'll first want to do a solid left outside three turn. After exiting the three turn on your back inside edge, you will want to bring your free leg up and arms up into the jump. The jump takes off using your left toe pick and lands on your right foot with a traditional landing position. If you jump clockwise, all these directions would be reversed.
Question: What does S3 stands for?
Answer: S3 stands for Amazon Simple Storage Service.
Question: When is Croatian Independence Day?
Evidence: The Croatian referendum on independence was held in May 1991, with 93% of voters supporting independence. On 25 June, the Croatian Parliament (Sabor) proclaimed Croatian independence. Seven days later, on 7 July, Croatia and Slovenia both signed the Brioni Declaration, in which the two countries agreed to suspend all declarations and acts passed by the Croatian and Slovenian parliaments related to those states' secession from Yugoslavia for a period of three months. During that time, the Croatian War of Independence started.

On 8 October, the Croatian Parliament decided to end relations with Socialist Federal Republic of Yugoslavia, in the Decision on the termination of the state and legal ties with other republics and provinces of Yugoslavia. That session was not held in the House of Parliament but instead in the basement of an INA building, because of the possibility of the repeat of an incident such as the bombing of Banski dvori.

The Government of Ivica Račan moved the Independence Day to 8 October in 2002, and 25 June was marked as a memorial day (working) under the name Statehood Day.

On 14 November 2019, the Croatian Parliament adopted a new law on holidays, and moved Independence Day back to 25 June. Previous date, 8 October, became a working memorial day under the name Day of the Croatian Parliament..
Answer: Croatian Independence Day (Dan Neovisnosti) is celebrated on June 25th. The holiday was established in 2001, but was celebrated on October 8th from 2002 to 2019 which was the day in 1991 when Croatian Parliament declared to end relations with all of the Socialist Republics of Yugoslavia. June 25th, 1991 was the day when Croatian Parliament declared independence from Socialist Federal Republics of Yugoslavia.
Question: Make a poem about color and style
Answer: Why is the sky blue? It makes me sad
A new color wouldn't be so bad

I change it to yellow.
That will surely make me a jolly good fellow.

Why is the grass green?
It looks and dirty and mean

It should be pink
That will make people think

I look at the trees
With nests full of bees

The trunk is brown
That makes me frown

Purple would look best
It would be different from the rest

I admire the newly colored town
No sad colors like blue or brown

People stare at me
They all disagree

"Change it back!" They say
"We want it to look how it was yesterday"

"It may not be to your liking but that's how it goes"
They are right I suppose

 I change it to how it was before
They all like that more

I realize it's okay
It looks perfect this way
Question: What is the difference between bills, notes, and bonds?
Answer: Treasury bills are issued by the U.S. government and have a maturity of one year or less. Treasury notes are issued and have a maturity between 2 and 10 years. Treasury bonds have a maturity of greater than 10 years.
Question: Why is it so difficult to make every free throw in basketball?
Answer: Making every free throw in basketball requires the perfect form every time, allowing for only a slight variation in shooting motion. Anything beyond that will cause the ball to miss the sweet spot, resulting in a miss. Although muscle memory is very powerful, it is difficult to execute the exact same form every time. As a result, it requires a lot of practice in order to be good at shooting free throws.
Question: What is their language modeling tool?
Evidence: Training Language Models (LMs) is a straightforward way to collect a set of rules by utilizing the fact that words do not appear in an arbitrary order; we in fact can gain useful information about a word by knowing the company it keeps BIBREF7 . A statistical language model estimates the probability of a sequence of words or an upcoming word. An N-gram is a contiguous sequence of N words: a unigram is a single word, a bigram is a two-word sequence, and a trigram is a three-word sequence. For example, in the tweet
tears in Ramen #SingleLifeIn3Words
“tears”, “in”, “Ramen” and “#SingleLifeIn3Words” are unigrams; “tears in”, “in Ramen” and “Ramen #SingleLifeIn3Words” are bigrams and “tears in Ramen” and “in Ramen #SingleLifeIn3Words” are trigrams.
An N-gram model can predict the next word from a sequence of N-1 previous words. A trigram Language Model (LM) predicts the conditional probability of the next word using the following approximation: DISPLAYFORM0 
The assumption that the probability of a word depends only on a small number of previous words is called a Markov assumption BIBREF8 . Given this assumption the probability of a sentence can be estimated as follows: DISPLAYFORM0 
In a study on how phrasing affects memorability, BIBREF9 take a language model approach to measure the distinctiveness of memorable movie quotes. They do this by evaluating a quote with respect to a “common language” model built from the newswire sections of the Brown corpus BIBREF10 . They find that movie quotes which are less like “common language” are more distinctive and therefore more memorable. The intuition behind our approach is that humor should in some way be memorable or distinct, and so tweets that diverge from a “common language” model would be expected to be funnier.
In order to evaluate how funny a tweet is, we train language models on two datasets: the tweet data and the news data. Tweets that are more probable according to the tweet data language model are ranked as being funnier. However, tweets that have a lower probability according to the news language model are considered the funnier since they are the least like the (unfunny) news corpus. We relied on both bigrams and trigrams when training our models.
We use KenLM BIBREF11 as our language modeling tool. Language models are estimated using modified Kneser-Ney smoothing without pruning. KenLM also implements a back-off technique so if an N-gram is not found, KenLM applies the lower order N-gram's probability along with its back-off weights.
We relied on both bigrams and trigrams when training our models. We use KenLM (Heafield et al., 2013) as our language modeling tool.
Answer: KenLM.
Question: Who is the current manager of Arsenal Football Club?
Answer: The current manager of Arsenal Football Club is Mikel Arteta
Question: Based on this paragraph about the early career of John C. Young (pastor), after the resignation of which whom was Young offered the presidency of Centre College in Danville, Kentucky?
Evidence: After he received a license to preach from the Presbytery of New York on March 7, 1827, Young's career in the ministry began following his graduation from Princeton. In 1828, he moved to Lexington, Kentucky, where he was appointed to the pastorate of McChord Presbyterian Church (now Second Presbyterian Church), founded in 1815 by James McChord, who was later elected as the first president of Centre College in Danville, Kentucky.

Centre's presidency became vacant in October 1830 when Gideon Blackburn resigned the office. At the recommendation of Archibald Alexander, principal of Princeton Theological Seminary, the college's trustees offered Young the position in a unanimous vote. He accepted and was inaugurated as the fourth president of Centre College on November 18, 1830, at the age of 27.
Answer: Gideon Blackburn
Question: Why are mama's boys the worst partners?
Answer: Mama's boys grow up to be horrible partners because they never really grow up to be fully functioning adults. They were raised thinking they are the center of the universe. Their moms made them believe they could do no wrong. They never learned how to be considerate of other people's feelings. They learned that no matter what, mama would always be around to clean up their mess — literally and figuratively. Their moms did their laundry well into their twenties. They don't know how to do basic things around the house like boil an egg, cook rice or pick up after themselves. A telltale sign of a mama's boy: he comes home with a new purchase, opens it up, leaves all the plastic packaging lying around on the kitchen table. It doesn't bother him. He literally does not see the trash he leaves around. Mama's boys don't know how to pay their bills, manage their checking accounts, do grocery shopping and many, many more things. But these behaviors are symbolic of a much deeper deficiency: their emotional intelligence is practically nonexistent. Typically, it takes decades to train a mama's boy to be a fully functioning adult who can be an acceptable partner. It's possible only if he's willing to admit his faults and try every day to be a better human being.
Question: What is relational database
Evidence: A relational database is a (most commonly digital) database based on the relational model of data, as proposed by E. F. Codd in 1970. A system used to maintain relational databases is a relational database management system (RDBMS). Many relational database systems are equipped with the option of using SQL (Structured Query Language) for querying and updating the database.
Answer: Relational Databases are based on relational data models designed to store data in rows & columns and in a tabular format. RDBMS is famous for its SQL (Structured Query Language), and can fit to any tech stack. RDBMS is mostly meant for transactional use cases, OLTP with the ability to process data in milliseconds. A lot of RDMBS are available like MySQL, Postgres, AuroraDB etc.
Question: What can I do as a fun activity in Amsterdam this weekend?
Answer: Amsterdam has a lot of fun activities. You can go to Dam square and enjoy the city center. Canal cruise is also recommended. There are often many concerts and events arranged during the weekend that you can join. Renting a bike and going around the city is also fun.  If you enjoy nightlife, you can also go to the Led Zepelling area in the city and enjoy the music and dance.
Question: Who is BTS?
Answer: BTS is a South Korean group consisting of seven members, Jin, Suga, J-Hop, RM, Jimin, V and Jungkook. Their music style has evolved from when they originally debuted as a hip hop group in 2010. The subject of their songs include topics like coming of age, mental health and troubles faced in your youth. BTS has come along way since their early years have won dozens awards and have several Grammy nominations under their belt.
Question: What dataset is used for evaluation?
Evidence: We compare NCEL with the following state-of-the-art EL methods including three local models and three types of global models:
Local models: He BIBREF29 and Chisholm BIBREF6 beat many global models by using auto-encoders and web links, respectively, and NTEE BIBREF16 achieves the best performance based on joint embeddings of words and entities.
Iterative model: AIDA BIBREF22 links entities by iteratively finding a dense subgraph.
Loopy Belief Propagation: Globerson BIBREF18 and PBoH BIBREF30 introduce LBP BIBREF31 techniques for collective inference, and Ganea BIBREF24 solves the global training problem via truncated fitting LBP.
PageRank/Random Walk: Boosting BIBREF32 , AGDISTISG BIBREF33 , Babelfy BIBREF34 , WAT BIBREF35 , xLisa BIBREF36 and WNED BIBREF19 performs PageRank BIBREF37 or random walk BIBREF38 on the mention-entity graph and use the convergence score for disambiguation.
For fairly comparison, we report the original scores of the baselines in the papers. Following these methods, we evaluate NCEL on the following five datasets: (1) CoNLL-YAGO BIBREF22 : the CoNLL 2003 shared task including testa of 4791 mentions in 216 documents, and testb of 4485 mentions in 213 documents. (2) TAC2010 BIBREF39 : constructed for the Text Analysis Conference that comprises 676 mentions in 352 documents for testing. (3) ACE2004 BIBREF23 : a subset of ACE2004 co-reference documents including 248 mentions in 35 documents, which is annotated by Amazon Mechanical Turk. (4) AQUAINT BIBREF40 : 50 news articles including 699 mentions from three different news agencies. (5) WW BIBREF19 : a new benchmark with balanced prior distributions of mentions, leading to a hard case of disambiguation. It has 6374 mentions in 310 documents automatically extracted from Wikipedia.
Following these methods, we evaluate NCEL on the following five datasets: (1) CoNLL-YAGO (Hoffart et al., 2011): the CoNLL 2003 shared task including testa of 4791 mentions in 216 documents, and testb of 4485 mentions in 213 documents. (2) TAC2010 (Ji et al., 2010): constructed for the Text Analysis Conference that comprises 676 mentions in 352 documents for testing. (3) ACE2004 (Ratinov et al., 2011): a subset of ACE2004 co-reference documents including 248 mentions in 35 documents, which is annotated by Amazon Mechanical Turk. (4) AQUAINT (Milne and Witten, 2008): 50 news articles including 699 mentions from three different news agencies. (5) WW (Guo and Barbosa, 2017): a new benchmark with balanced prior distributions of mentions, leading to a hard case of disambiguation. It has 6374 mentions in 310 documents automatically extracted from Wikipedia.
Answer: Following these methods, they evaluate NCEL on the following five datasets: (1) CoNLL-YAGO (Hoffart et al., 2011) (2) TAC2010 (Ji et al., 2010)(3) ACE2004 (Ratinov et al., 2011)(4) AQUAINT (Milne and Witten, 2008) (5) WW (Guo and Barbosa, 2017).
Question: Van Halen famously banned what color M&Ms in their rider?
Answer: Brown.