DataHammer/scimrc huggingface dataset:
Question: What architecture does the model follow?
Evidence: Let's consider the following notations:
$\bullet $ An entity $e_i$ is a set of $J_i$ unordered records $\lbrace r_{i,1}, ..., r_{i,j}, ..., r_{i,J_i}\rbrace $; where record $r_{i,j}$ is defined as a pair of key $k_{i,j}$ and value $v_{i,j}$. We outline that $J_i$ might differ between entities.
$\bullet $ A data-structure $s$ is an unordered set of $I$ entities $e_i$. We thus denote $s \lbrace e_1, ..., e_i, ..., e_I\rbrace $.
$\bullet $ For each data-structure, a textual description $y$ is associated. We refer to the first $t$ words of a description $y$ as $y_{1:t}$. Thus, the full sequence of words can be noted as $y = y_{1:T}$.
$\bullet $ The dataset $\mathcal {D}$ is a collection of $N$ aligned (data-structure, description) pairs $(s,y)$.
For instance, Figure FIGREF1 illustrates a data-structure associated with a description. The data-structure includes a set of entities (Hawks, Magic, Al Horford, Jeff Teague, ...). The entity Jeff Teague is modeled as a set of records {(PTS, 17), (REB, 0), (AST, 7) ...} in which, e.g., the record (PTS, 17) is characterized by a key (PTS) and a value (17).
For each data-structure $s$ in $\mathcal {D}$, the objective function aims to generate a description $\hat{y}$ as close as possible to the ground truth $y$. This objective function optimizes the following log-likelihood over the whole dataset $\mathcal {D}$:
where $\theta $ stands for the model parameters and $P(\hat{y}=y\ |\ s; \theta )$ the probability of the model to generate the adequate description $y$ for table $s$.
During inference, we generate the sequence $\hat{y}^*$ with the maximum a posteriori probability conditioned on table $s$. Using the chain rule, we get:

This equation is intractable in practice, we approximate a solution using beam search, as in BIBREF11, BIBREF19, BIBREF12, BIBREF13, BIBREF10.
Our model follows the encoder-decoder architecture BIBREF14. Because our contribution focuses on the encoding process, we chose the decoding module used in BIBREF12, BIBREF10: a two-layers LSTM network with a copy mechanism. In order to supervise this mechanism, we assume that each record value that also appears in the target is copied from the data-structure and we train the model to switch between freely generating words from the vocabulary and copying words from the input. We now describe the hierarchical encoder and the hierarchical attention.
Our model follows the encoder-decoder architecture
Answer: Encoder-decoder architecture.
Question: Who are the World Cup champions?
Answer: Argentina won the FIFA World Cup in 2022.
Question: What enabled Libya to obtain rapid economic growth prior to 1990?
Evidence: Upon independence an overwhelming majority of Africans lived in extreme poverty. The continent suffered from the lack of infrastructural or industrial development under colonial rule, along with political instability. With limited financial resources or access to global markets, relatively stable countries such as Kenya still experienced only very slow economic development. Only a handful of African countries succeeded in obtaining rapid economic growth prior to 1990. Exceptions include Libya and Equatorial Guinea, both of which possess large oil reserves.
Answer: Libya possessed large oil reserves enabling it to experience rapid economic growth.
Question: Write a funny and whimsical horoscope reading
Answer: The stars say you should be patient, and that it can't last for ever.  They didn't say what they're talking about, though
Question: Which is a bird or fish: Blackchin, Black redstart
Answer: Blackchin is a fish, Black redstart is a bird
Question: When did Phil Knight announce he would step down as chairman of Nike
Evidence: Throughout the 1980s, Nike expanded its product line to encompass many sports and regions throughout the world. In 1990, Nike moved into its eight-building World Headquarters campus in Beaverton, Oregon. The first Nike retail store, dubbed Niketown, opened in downtown Portland in November of that year.  Phil Knight announced in mid-2015 that he would step down as chairman of Nike in 2016. He officially stepped down from all duties with the company on June 30, 2016.  In a company public announcement on March 15, 2018, Nike CEO Mark Parker said Trevor Edwards, a top Nike executive who was seen as a potential successor to the chief executive, was relinquishing his position as Nike's brand president and would retire in August.
Answer: Phil Knight announced he would step down in 2015 as chairman and offically stepped down in 2016
Question: In Record Embedding Layer, what does the low-level encoder aim at?
Evidence: As outlined in Section SECREF2, most previous work BIBREF28, BIBREF12, BIBREF13, BIBREF10, BIBREF29 make use of flat encoders that do not exploit the data structure. To keep the semantics of each element from the data-structure, we propose a hierarchical encoder which relies on two modules. The first one (module A in Figure FIGREF11) is called low-level encoder and encodes entities on the basis of their records; the second one (module B), called high-level encoder, encodes the data-structure on the basis of its underlying entities. In the low-level encoder, the traditional embedding layer is replaced by a record embedding layer as in BIBREF11, BIBREF12, BIBREF10. We present in what follows the record embedding layer and introduce our two hierarchical modules.
The first layer of the network consists in learning two embedding matrices to embed the record keys and values. Keys $k_{i,j}$ are embedded to $\mathbf {k}_{i,j} \in \mathbb {R}^{d}$ and values $v_{i,j}$ to $\mathbf {v}_{i,j} \in \mathbb {R}^{d}$, with $d$ the size of the embedding. As in previous work BIBREF11, BIBREF12, BIBREF10, each record embedding $\mathbf {r}_{i,j}$ is computed by a linear projection on the concatenation $[\mathbf {k}_{i,j}$; $\mathbf {v}_{i,j}]$ followed by a non linearity:
where $\mathbf {W}_r \in \mathbb {R}^{2d \times d}$ and $\mathbf {b}_r \in \mathbb {R}^{d}$ are learnt parameters.
The low-level encoder aims at encoding a collection of records belonging to the same entity while the high-level encoder encodes the whole set of entities. Both the low-level and high-level encoders consider their input elements as unordered. We use the Transformer architecture from BIBREF21. For each encoder, we have the following peculiarities:

the Low-level encoder encodes each entity $e_i$ on the basis of its record embeddings $\mathbf {r}_{i,j}$. Each record embedding $\mathbf {r}_{i,j}$ is compared to other record embeddings to learn its final hidden representation $\mathbf {h}_{i,j}$. Furthermore, we add a special record [ENT] for each entity, illustrated in Figure FIGREF11 as the last record. Since entities might have a variable number of records, this token allows to aggregate final hidden record representations $\lbrace \mathbf {h}_{i,j}\rbrace _{j=1}^{J_i}$ in a fixed-sized representation vector $\mathbf {h}_{i}$.
the High-level encoder encodes the data-structure on the basis of its entity representation $\mathbf {h}_{i}$. Similarly to the Low-level encoder, the final hidden state $\mathbf {e_i}$ of an entity is computed by comparing entity representation $\mathbf {h}_{i}$ with each others. The data-structure representation $\mathbf {z}$ is computed as the mean of these entity representations, and is used for the decoder initialization.
The low-level encoder aims at encoding a collection of records belonging to the same entity while the high-level encoder encodes the whole set of entities.
Answer: Encoding a collection of records belonging to the same entity.
Question: How large is the dataset they generate?
Evidence: FLOAT SELECTED: Table 3: Number of run-on (RO) and non-run-on (Non-RO) sentences in our datasets.
FLOAT SELECTED: Table 3: Number of run-on (RO) and non-run-on (Non-RO) sentences in our datasets.
Answer: 4.756 million sentences
Question: Extract the age when Brendon Small began to learn how to play Guitar
Evidence: Brendon Small (born February 15, 1975) is an American actor, stand-up comedian, animator, writer, director, producer, and musician known for co-creating the animated series Home Movies (1999–2004, with Loren Bouchard) and Metalocalypse (2006–13, with Tommy Blacha). He also writes the music, and is the main performer for the virtual melodic death metal band Dethklok, which began as the subject of Metalocalypse but has taken on a life of its own, with four albums and an occasional live touring band, headed by Small. Small has also released two albums under his own name, in a similar musical style to Dethklok.

Small was born in Illinois in 1975. He moved to California as a child. Small started learning guitar at the age of 14 after a kid in his neighborhood began teaching him about guitar and music. At his first public performance, his hands shook so wildly that he had trouble controlling the guitar. It would be another ten years before he was comfortable performing in public. He graduated from Palma High School in Salinas, California. He graduated from Berklee College of Music in 1997. During his music studies, he took several writing and comedy classes at Emerson College. After graduating, he felt that the rock music genre was fading in popularity, so decided to try his hand at stand-up comedy.
Answer: 14
Question: What are the ways to save money in gardening?
Answer: 1. Avoid buying potting mix by making your own potting soil
2. Compost your food scraps to make your own soil
3. Avoid buying seed germinating trays by using tofu trays and other recycled food trays to germinate seeds
4. Avoid buying pots and containers by re-using plastic milk containers with the top cut off, tetra pak with the top cut off, yoghurt containers, plastic soda bottles etc.
5. Avoid buying plants from the store by germinating plants from seed yourself
6. Collect rainwater for your plants to avoid using municipal water
7. Re-use water from rinsing vegetables/rice to water your plants to minimize the use of municipal water
Question: How many books did Dr Seuss write?
Evidence: Theodor Seuss Geisel (/suːs ˈɡaɪzəl, zɔɪs -/ (listen); March 2, 1904 – September 24, 1991) was an American children's author and cartoonist. He is known for his work writing and illustrating more than 60 books under the pen name Dr. Seuss (/suːs, zuːs/). His work includes many of the most popular children's books of all time, selling over 600 million copies and being translated into more than 20 languages by the time of his death.
Answer: Dr Seuss is known for his work writing and illustrating more than 60 books under the pen name Dr. Seuss
Question: What is the Azure equivalent of EKS?
Answer: Microsoft Azure offers the Azure Kubernetes Service (AKS)
Question: Why do humans play sports?
Answer: Humans play sports for a variety of reasons.  Some do it for the thrill of competition, others do it purely for fun, while others still play sports to stay healthy and fit.
Question: Given this paragraph about WWII, how many fatalities happened?
Evidence: World War II or the Second World War, often abbreviated as WWII or WW2, was a global conflict that lasted from 1939 to 1945. The vast majority of the world's countries, including all of the great powers, fought as part of two opposing military alliances: the Allies and the Axis. Many participants threw their economic, industrial, and scientific capabilities behind this total war, blurring the distinction between civilian and military resources. Aircraft played a major role, enabling the strategic bombing of population centres and the delivery of the only two nuclear weapons ever used in war.

World War II was by far the deadliest conflict in history; it resulted in an estimated 70 to 85 million fatalities, mostly among civilians. Tens of millions died due to genocides (including the Holocaust), starvation, massacres, and disease. In the wake of the Axis defeat, Germany and Japan were occupied, and war crimes tribunals were conducted against German and Japanese leaders.

The causes of World War II are debated, but contributing factors included the Second Italo-Ethiopian War, Spanish Civil War, Second Sino-Japanese War, Soviet–Japanese border conflicts, the rise of fascism in Europe, and European tensions in the aftermath of World War I. World War II is generally considered to have begun on 1 September 1939, when Nazi Germany, under Adolf Hitler, invaded Poland. The United Kingdom and France subsequently declared war on Germany on 3 September. Under the Molotov–Ribbentrop Pact of August 1939, Germany and the Soviet Union had partitioned Poland and marked out their "spheres of influence" across Finland, Estonia, Latvia, Lithuania and Romania. From late 1939 to early 1941, in a series of campaigns and treaties, Germany conquered or controlled much of continental Europe, in a military alliance with Italy, Japan and other countries called the Axis. Following the onset of campaigns in North Africa and East Africa, and the fall of France in mid-1940, the war continued primarily between the European Axis powers and the British Empire, with war in the Balkans, the aerial Battle of Britain, the Blitz of the United Kingdom, and the Battle of the Atlantic. On 22 June 1941, Germany led the European Axis powers in an invasion of the Soviet Union, opening the Eastern Front, the largest land theatre of war in history.
Answer: World War II lasted from 1939 to 1945 and was by far the deadliest conflict in history. It is estimated that there were 70-85 million fatalities, mostly among civilians. Tens of millions died due to genocides, starvation, assacres, and disease.
Question: Why is cricket the most viewed sport in India?
Answer: The history of cricket spans many years. Despite the fact that it is not a local sport, it was somehow passed down by British colonialists who conquered India. 
From Kashmir to Kanyakumari, it is a sport that all Indians are passionate about and it will be hard to spot someone who never played the game here. In the world cup finals, Mahendra Singh Dhoni hit a six off the very last ball, which cricket fans will never forget. India currently has won two World Cups and has previously qualified for many pre-final entries. It's also important to note that women's cricket is becoming more and more popular.
Question: Given this paragraph about the Allegory of Peace, what does it represent?
Evidence: Allegory of Peace or Triumph of Peace is a 1652 oil-on-canvas painting by Dutch artist Jan Lievens. The painting represents the 1648 Treaty of Münster and depicts Minerva, the goddess of wisdom, crowning Pax, the goddess of peace.
Answer: The painting represents the 1648 Treaty of Münster and depicts Minerva, the goddess of wisdom, crowning Pax, the goddess of peace.
Question: What network do the authors introduce in the paper?
Evidence: In this paper, we introduce Query-based Attention CNN(QACNN) for Text Similarity Map, an end-to-end neural network for question answering. This network is composed of compare mechanism, two-staged CNN architecture with attention mechanism, and a prediction layer. First, the compare mechanism compares between the given passage, query, and multiple answer choices to build similarity maps. Then, the two-staged CNN architecture extracts features through word-level and sentence-level. At the same time, attention mechanism helps CNN focus more on the important part of the passage based on the query information. Finally, the prediction layer find out the most possible answer choice. We conduct this model on the MovieQA dataset using Plot Synopses only, and achieve 79.99% accuracy which is the state of the art on the dataset.
In this paper, we introduce Query-based Attention CNN(QACNN) for Text Similarity Map, an end-to-end neural network for question answering.
Answer: Query-based Attention CNN(QACNN).
Question: How did the American Foxhound originate?
Evidence: The American Kennel Club does credit George Washington as the Father of the American Foxhound. Washington and his wife Martha were dog breeders in Mount Vernon, Virginia.  Washington is said to have had a strong love for dogs; that grew from his love of hunting for foxes. This love of dogs stems from watching the relationship between the dog and the fox it was hunting. Washington was an avid fox hunter. The birth of this breed can be credited to Washington, and his relationship with Marquis de Lafayette. Lafayette gifted a group of French Hound’s to Washington, from there around two years after, Washington acquired eight regular hounds from Philadelphia, Pennsylvania and 2 “Slow Pace” hounds from England.  From these 3 breeds of dogs, from America, France and England, Washington then bred the American Foxhound. Washington had no desire to breed this dog for attention to legacy, but rather for personal gain – to hunt foxes with his own collection of specially bred hunting dogs. Washington bred the American Foxhound in hopes of breeding faster speed and tracking of foxes into the breed of hounds he already owned. 
Answer: George Washington is credited by the American Kennel Club with originating this dog breed by crossing French and English hounds with other American hounds from Pennsylvania.  Washington bred the American Foxhound because he loved fox hunting and wanted his own specialty breed for that purpose.
Question: Is C++ hard to learn?
Answer: That depends on your current ability to program and how easily you will be able to understand C++ concepts. C++ can be a very powerful language, but it also has many pitfalls which can make learning it more difficult than some other languages.
Question: When was Irina Vysheslavska born?
Evidence: Irina Vysheslavska was born in Kiev on February 20, 1939, into a family of great cultural traditions. Her father Leonid Vysheslavsky was a noted poet and her mother Agnes Baltaga was a writer. Several of her ancestors were priests in Greece, Romania and Ukraine.
Answer: Irina Vysheslavska was born on February 20, 1939.
Question: What instrument plays the part of the duck in the musical composition, "Peter and the Wolf"
Answer: An oboe plays the part of the duck in this well-known orchestra piece.
Question: Classify the following foods by macronutrient: rice, banana, veal, tofu, butter, avocado, kangaroo, and pumpkin.
Answer: The three types of macronutrient are carbohydrate, protein and fat. Foods are typically made up of more than one macronutrient but are generally classed by the macronutrient they contain the most of.

Rice, banana and pumpkin belong to the carbohydrates because they are high in carbohydrates.
Veal, tofu and kangaroo are types of protein because the are high in protein.
Butter and avocado are primarily composed of fats. Therefore, they belong to the fats macronutrient group.
Question: Given the this paragraph about the invention of transistors, why did lawyers at Bell Labs advise Shockley against filing a patent for his field-effect transistors?
Evidence: From November 17 to December 23, 1947, John Bardeen and Walter Brattain at AT&T's Bell Labs in Murray Hill, New Jersey performed experiments and observed that when two gold point contacts were applied to a crystal of germanium, a signal was produced with the output power greater than the input. Solid State Physics Group leader William Shockley saw the potential in this, and over the next few months worked to greatly expand the knowledge of semiconductors. The term transistor was coined by John R. Pierce as a contraction of the term transresistance. According to Lillian Hoddeson and Vicki Daitch, Shockley proposed that Bell Labs' first patent for a transistor should be based on the field-effect and that he be named as the inventor. Having unearthed Julius Edgar Lilienfeld's patents that went into obscurity years earlier, lawyers at Bell Labs advised against Shockley's proposal because the idea of a field-effect transistor that used an electric field as a "grid" was not new. Instead, what Bardeen, Brattain, and Shockley invented in 1947 was the first point-contact transistor. To acknowledge this accomplishment, Shockley, Bardeen and Brattain jointly received the 1956 Nobel Prize in Physics "for their researches on semiconductors and their discovery of the transistor effect".
Answer: The idea had previously been proposed and patented by Julius Edgar Lilienfeld.
Question: What is the definition of Vegetarian?
Evidence: "Vegetarianism is the practice of abstaining from the consumption of meat (red meat, poultry, seafood, insects, and the flesh of any other animal). It may also include abstaining from eating all by-products of animal slaughter.

Vegetarianism may be adopted for various reasons. Many people object to eating meat out of respect for sentient animal life. Such ethical motivations have been codified under various religious beliefs as well as animal rights advocacy. Other motivations for vegetarianism are health-related, political, environmental, cultural, economic, taste-related, or relate to other personal preferences."
Answer: Vegetarianism is the practice of abstaining from the consumption of meat (red meat, poultry, seafood, insects, and the flesh of any other animal).
Question: Give me a list of Premier League winners in the last 5 years.
Answer: 2021-2022: Manchester City
2020-2021: Manchester City
2019-2020: Liverpool
2018-2019: Manchester City
2017-2018: Manchester City
Question: what was the baseline?
Evidence: All of our results are produced from 10-fold cross validation to allow comparison with previous results. We trained a logistic regression baseline model (line 1 in Table TABREF10 ) using character ngrams and word unigrams using TF*IDF weighting BIBREF13 , to provide a baseline since HAR has no reported results. For the SR and HATE datasets, the authors reported their trained best logistic regression model's results on their respective datasets.
We trained a logistic regression baseline model (line 1 in Table TABREF10 ) using character ngrams and word unigrams using TF*IDF weighting BIBREF13 , to provide a baseline since HAR has no reported results. For the SR and HATE datasets, the authors reported their trained best logistic regression model's results on their respective datasets.
Answer: The answers are shown as follows:
* logistic regression
Question: What are common ingredients of a full english breakfast?
Answer: Bacon, eggs, sausages, beans, toast, mushrooms, tomatoes. Some people also include black pudding and hash browns.
Eggs are commonly fried or scrambled.