DataHammer/scimrc huggingface dataset:
Question: What parameter is used for Go-Explore and describes how many steps are taken when exploring in a given cell state?
Evidence: Zork1 is one of the first text-adventure games and heavily influences games released later in terms of narrative style and game structure. It is a dungeon crawler where the player must explore a vast world and collect a series of treasures. It was identified by BIBREF2 as a moonshot game and has been the subject of much work in leaning agents BIBREF12, BIBREF7, BIBREF11, BIBREF8. Rewards are given to the player when they collect treasures as well as when important intermediate milestones needed to further explore the world are passed. Figure FIGREF15 and Figure FIGREF1 show us a map of the world of Zork1 and the corresponding quest structure.
The bottleneck seen at a score of around 40 is when the player first enters the cellar on the right side of the map. The cellar is dark and you need to immediately light the lamp to see anything. Attempting to explore the cellar in the dark results in you being instantly killed by a monster known as a “grue”.
We make no changes from the graph update rules used by BIBREF6. Candidate interactive objects are identified by performing part-of-speech tagging on the current observation, identifying singular and proper nouns as well as adjectives, and are then filtered by checking if they can be examined using the command $examine$ $OBJ$. Only the interactive objects not found in the inventory are linked to the node corresponding to the current room and the inventory items are linked to the “you” node. The only other rule applied uses the navigational actions performed by the agent to infer the relative positions of rooms, e.g. $\langle kitchen,down,cellar \rangle $ when the agent performs $go$ $down$ when in the kitchen to move to the cellar.
Hyperparameters used for our agents are given below. Patience and buffer size are used for the policy chaining method as described in Section SECREF2. Cell step size is a parameter used for Go-Explore and describes how many steps are taken when exploring in a given cell state. Base hyperparameters for KG-A2C are taken from BIBREF6 and the same parameters are used for A2C.

Cell step size is a parameter used for Go-Explore and describes how many steps are taken when exploring in a given cell state.
Answer: Cell step size.
Question: Which languages are used in the multi-lingual caption model?
Evidence: We carry out experiments on multiple language pairs including German-English, French-English, and Japanese-English. The experimental results show that the proposed multi-lingual caption model not only achieves better caption performance than independent mono-lingual models for data-scarce languages, but also can induce the two types of features, linguistic and visual features, for different languages in joint spaces. Our proposed method consistently outperforms previous state-of-the-art vision-based bilingual word induction approaches on different languages. The contributions of this paper are as follows:
We carry out experiments on multiple language pairs including German-English, French-English, and Japanese-English. The experimental results show that the proposed multi-lingual caption model not only achieves better caption performance than independent mono-lingual models for data-scarce languages, but also can induce the two types of features, linguistic and visual features, for different languages in joint spaces.
Answer: The answers are shown as follows:
* multiple language pairs including German-English, French-English, and Japanese-English.
Question: What is K-Pop?
Evidence: K-pop, short for Korean popular music, is a form of popular music originating in South Korea as part of South Korean culture. It includes styles and genres from around the world, such as pop, hip hop, R&B, rock, jazz, gospel, reggae, electronic dance, folk, country, disco, and classical on top of its traditional Korean music roots. The term "K-pop" became popular in the 2000s, especially in the international context. The Korean term for domestic pop music is gayo, which is still widely used within South Korea. While "K-pop" can refer to all popular music or pop music from South Korea, it is colloquially often used in a narrower sense for any Korean music and artists associated with the entertainment and idol industry in the country, regardless of the genre.
Answer: K-pop is an acronym for Korean pop music. It is a mainstream genre of music that originated in South Korea. K-pop is influenced by a variety of different musical genres such as rock, hip hop, R&B, and electronic music. K-pop groups usually consists of trained members who have designated roles such as the main vocalist, vocalists, dancer, rapper, and visual. K-pop choreographies consist of repetitive synchronized movements which tend to go viral.
Question: Give me a comma separated list of stone fruit I could buy at the market
Answer: Plums, Apricots, Peaches, Nectarines, Pluots
Question: Which was the first film to reach he billion-dollar mark?
Evidence: Titanic is a 1997 American epic romance and disaster film directed, written, produced, and co-edited by James Cameron. Incorporating both historical and fictionalized aspects, it is based on accounts of the sinking of the RMS Titanic and stars Kate Winslet and Leonardo DiCaprio as members of different social classes who fall in love aboard the ship during its ill-fated maiden voyage. The film also features Billy Zane, Kathy Bates, Frances Fisher, Gloria Stuart, Bernard Hill, Jonathan Hyde, Victor Garber, and Bill Paxton.

Cameron's inspiration for the film came from his fascination with shipwrecks; he felt a love story interspersed with the human loss would be essential to convey the emotional impact of the disaster. Production began on September 1, 1995, when Cameron shot footage of the actual Titanic wreck. The modern scenes on the research vessel were shot on board the Akademik Mstislav Keldysh, which Cameron had used as a base when filming the wreck. Scale models, computer-generated imagery, and a reconstruction of the Titanic built at Baja Studios were used to re-create the sinking. The film was co-financed by Paramount Pictures and 20th Century Fox; the former handled distribution in North America while the latter released the film internationally. It was the most expensive film ever made at the time, with a production budget of $200 million. Filming took place from July 1996 to March 1997.

Upon its release on December 19, 1997, Titanic achieved significant critical and commercial success, and then received numerous accolades. It was praised for its visual effects, performances (particularly DiCaprio, Winslet, and Stuart), production values, Cameron's direction, musical score, cinematography, story, and emotional depth. Nominated for 14 Academy Awards, it tied All About Eve (1950) for the most Oscar nominations, and won 11, including the awards for Best Picture and Best Director, tying Ben-Hur (1959) for the most Oscars won by a single film. With an initial worldwide gross of over $1.84 billion, Titanic was the first film to reach the billion-dollar mark. It remained the highest-grossing film of all time until Cameron's next film, Avatar, surpassed it in 2010. A number of re-releases since 1997 have pushed the film's worldwide total to $2.249 billion, making it the second film to gross more than $2 billion worldwide (after Avatar). It was also selected for preservation in the United States National Film Registry in 2017 for being "culturally, historically or aesthetically significant".
Answer: With an initial worldwide gross of over $1.84 billion, Titanic was the first film to reach the billion-dollar mark. Upon its release on December 19, 1997, Titanic achieved significant critical and commercial success, and then received numerous accolades. It was praised for its visual effects, performances (particularly DiCaprio, Winslet, and Stuart), production values, Cameron's direction, musical score, cinematography, story, and emotional depth. It was nominated for 14 Academy Awards, and won 11, including the awards for Best Picture and Best Director.
Question: How is Relation network used to infer causality at segment level?
Evidence: In general, the model transforms the segments into object-pairs by the TC-CNN and passes sentence through bi-GRU to obtain the global representation. Then we integrate object-pairs with global representation and make a pair-wise inference to detect the relationship among the segments. Ablation studies show that the proposed SCRN at the segment level has the capacity for relational reasoning and promotes the result significantly.
In general, the model transforms the segments into object-pairs by the TC-CNN and passes sentence through bi-GRU to obtain the global representation. Then we integrate object-pairs with global representation and make a pair-wise inference to detect the relationship among the segments. Ablation studies show that the proposed SCRN at the segment level has the capacity for relational reasoning and promotes the result significantly.
Answer: The answers are shown as follows:
* we integrate object-pairs with global representation and make a pair-wise inference to detect the relationship among the segments
Question: Tell me about Holi and why so many people in the world celebrate it?
Evidence: Holi ( /ˈhoʊliː/) is a popular and significant Hindu festival celebrated as the Festival of Colours, Love and Spring. It celebrates the eternal and divine love of the god Radha and Krishna. Additionally, the day also signifies the triumph of good over evil,as it commemorates the victory of Vishnu as Narasimha Narayana over Hiranyakashipu. Holi is originated and is predominantly celebrated in the Indian subcontinent but has also spread to other regions of Asia and parts of the Western world through the Indian diaspora.
Answer: Holi is an festival celebrated by Hindus in India.  Even though it was originated by Hindu religion, it is celebrated across India irrespective of religion.  It has become a notable Indian cultural representation.  The reason so many people in the world celebrate it is because India has one of the largest population in the world.
Question: Why is film photography popular again?
Answer: Film photography had seen a long decline in popularity ever since the invention of digital cameras with their remarkable leaps in technological advances. As of today, a decent professional digital camera significantly outperforms the 35mm film cameras in terms of resolution, burst-shooting capabilities, nearly unlimited storage, and etc... In the recent years, the "film look" has made its comeback with lower resolution, grainy texture and unique color rendition. On top of that, half-decent retro-looking film cameras can be acquired for much less than a potent digital camera, lowering the entry barrier for those on the budget and looking for that look. An abundant pool of film stocks also adds to the fun, where each can drastically differ in low-light sensitivity, color rendition, graininess, post-processing chemistry, and of course, price. However, many major photographic film producers have either discontinued or significantly reduced the volume of their production. This, coupled with the surge in the demand, has led to skyrocketing prices on most of the still-available film stocks. On top of this, many popular and sought-after film cameras like the Leica M6, Nikon FM2 and Contax T2 also saw steep increase in their used-market prices. Given these price hikes on films and decades-old equipments, film photography is quickly becoming an expensive hobby, where each click of a shutter could cost more than 50 cents. How ironic is this today, when digital storage is virtually free? The authentic "film look" carries a hefty price tag today, and the future popularity of film photograhy is uncertain.
Question: What is the training, validation, and testing ratio of the datasets?
Evidence: The generators were implemented using the TensorFlow library BIBREF31 and trained with training, validation and testing ratio as 3:1:1. The hidden layer size, beam size were set to be 80 and 10, respectively, and the generators were trained with a $70\%$ of dropout rate. We performed 5 runs with different random initialization of the network and the training is terminated by using early stopping. We then chose a model that yields the highest BLEU score on the validation set as shown in Table 2 . Since the trained models can differ depending on the initialization, we also report the results which were averaged over 5 randomly initialized networks. Note that, except the results reported in Table 2 , all the results shown were averaged over 5 randomly initialized networks. We set $\lambda $ to 1000 to severely discourage the reranker from selecting utterances which contain either redundant or missing slots. For each DA, we over-generated 20 candidate sentences and selected the top 5 realizations after reranking. Moreover, in order to better understand the effectiveness of our proposed methods, we: (i) performed an ablation experiments to demonstrate the contribution of each proposed cells (Tables 2 , 3 ), (ii) trained the models on the Laptop domain with varied proportion of training data, starting from $10\%$ to $100\%$ (Figure 3 ), (iii) trained general models by merging all the data from four domains together and tested them in each individual domain (Figure 4 ), and (iv) trained adaptation models on merging data from restaurant and hotel domains, then fine tuned the model on laptop domain with varied amount of adaptation data (Figure 5 ).
The generators were implemented using the TensorFlow library (Abadi et al., 2016) and trained with training, validation and testing ratio as 3:1:1.
Answer: 3:1:1.
Question: Which of the following are companies that sell sports apparel? Nike, adidas, Energizer, Logitech, Dell, Saucony
Answer: Nike, Adidas, Saucony
Question: Classify the following as either airplanes or helicopters:
- EC-135
- DC-10
- Antonov An 225
- Boeing 787
- Bell 206
- MD-500
- MD-11
- Airbus A320
- Airbus H165
- Cessna 172
Answer: Airplanes:
- McDonnell Douglas DC-10
- Antonov An-225
- Boeing 787
- MD-11
- Airbus A320
- Cessna 172

Helicopters:
- Bell 206
- Robinson R44
- MD-500
- Airbus H165
Question: What are the top 7 national parks in the United States?
Answer: Top national parks in the US are as follows:
- Yosemite National Park
- Grand Canyon National Park
- Yellowstone National Park
- Glacier National Park
- Zion National Park
- Grand Teton National Park
- Bryce Canyon National Park
Question: How many innings are played in a professional baseball game?
Answer: Nine innings are played in a professional baseball game.
Question: What did Deneen do in her teens?
Evidence: In her teens in the 1880s, she taught school for a time in Sac County, Iowa. She studied at the Mount Carroll Seminary (later known as Shimer College), exiting in 1890. Although then as now primarily a liberal arts institution, the school also offered courses in stenography and typewriting. Deneen performed well enough in her studies to be hired as an instructor of these subjects in 1889 and 1890.
Answer: In her teens, Deneen taught school in Sac County, Iowa.
Question: What is underwriting?
Answer: Underwriting (UW) services are provided by some large financial institutions, such as banks, insurance companies and investment houses, whereby they guarantee payment in case of damage or financial loss and accept the financial risk for liability arising from such guarantee. An underwriting arrangement may be created in a number of situations including insurance, issues of security in a public offering, and bank lending, among others. The person or institution that agrees to sell a minimum number of securities of the company for commission is called the underwriter.

The term "underwriting" derives from the Lloyd's of London insurance market. Financial backers (or risk takers), who would accept some of the risk on a given venture (historically a sea voyage with associated risks of shipwreck) in exchange for a premium, would literally write their names under the risk information that was written on a Lloyd's slip created for this purpose.
Question: Is there a formal proof that the RNNs form a representation of the group?
Evidence: Second, we propose embedding schemes that explicitly embed words as elements of a Lie group. In practice, these embedding schemes would involve representing words as constrained matrices, and optimizing the elements, subject to the constraints, according to a loss function constructed from invariants of the matrices, and then applying the matrix log to obtain Lie vectors. A prototypical implementation, in which the words are assumed to be in the fundamental representation of the special orthogonal group, INLINEFORM0 , and are conditioned on losses sensitive to the relative actions of words, is the subject of another manuscript presently in preparation.
A prototypical implementation, in which the words are assumed to be in the fundamental representation of the special orthogonal group, INLINEFORM0 , and are conditioned on losses sensitive to the relative actions of words, is the subject of another manuscript presently in preparation.
Answer: No.
Question: 5 fruits more healthy than apples
Answer: Orange
Plums
Indian Gooseberry
Dates
Kiwi
Question: What kind of neural architecture do they propose?
Evidence: Named entity typing is the task of detecting the type (e.g., person, location, or organization) of a named entity in natural language text. Entity type information has shown to be useful in natural language tasks such as question answering BIBREF0 , knowledge-base population BIBREF1 , BIBREF2 , and co-reference resolution BIBREF3 . Motivated by its application to downstream tasks, recent work on entity typing has moved beyond standard coarse types towards finer-grained semantic types with richer ontologies BIBREF0 , BIBREF4 , BIBREF5 , BIBREF6 , BIBREF7 . Rather than assuming an entity can be uniquely categorized into a single type, the task has been approached as a multi-label classification problem: e.g., in “... became a top seller ... Monopoly is played in 114 countries. ...” (fig:arch), “Monopoly” is considered both a game as well as a product.
The state-of-the-art approach BIBREF8 for fine-grained entity typing employs an attentive neural architecture to learn representations of the entity mention as well as its context. These representations are then combined with hand-crafted features (e.g., lexical and syntactic features), and fed into a linear classifier with a fixed threshold. While this approach outperforms previous approaches which only use sparse binary features BIBREF4 , BIBREF6 or distributed representations BIBREF9 , it has a few drawbacks: (1) the representations of left and right contexts are learnt independently, ignoring their mutual connection; (2) the attention on context is computed solely upon the context, considering no alignment to the entity; (3) document-level contexts which could be useful in classification are not exploited; and (4) hand-crafted features heavily rely on system or human annotations.
To overcome these drawbacks, we propose a neural architecture (fig:arch) which learns more context-aware representations by using a better attention mechanism and taking advantage of semantic discourse information available in both the document as well as sentence-level contexts. Further, we find that adaptive classification thresholds leads to further improvements. Experiments demonstrate that our approach, without any reliance on hand-crafted features, outperforms prior work on three benchmark datasets.
To overcome these drawbacks, we propose a neural architecture (fig:arch) which learns more context-aware representations by using a better attention mechanism and taking advantage of semantic discourse information available in both the document as well as sentence-level contexts.
Answer: A neural architecture (fig:arch) which learns more context-aware representations by using a better attention mechanism and taking advantage of semantic discourse information available in both the document as well as sentence-level contexts.
Question: What are the benefits of audio books over physical books?
Answer: Audio books can be beneficial for multiple reasons. For one, the exist digitally on your phone in the cloud so there is no physical book that would need to be carried around. This makes is much easier for the listener to have a book with them without carrying a physical book. Additionally, audio books can be consumed when someone is not able to hold a physical book like when they are driving or riding a bike. This allows the reader to enjoy a book during a variety of activities. These are a few reasons why some people enjoy audio books.
Question: What makes it a more reliable metric?
Evidence: Results form Table TABREF31 may give an idea that INLINEFORM0 is just an scaled INLINEFORM1 . While it is true that they show a linear correlation, INLINEFORM2 may produce a different system ranking than INLINEFORM3 given the integral multi-reference principle it follows. However, what we consider the most profitable about INLINEFORM4 is the twofold inclusion of all available references it performs. First, the construction of INLINEFORM5 to provide a more inclusive reference against to whom be evaluated and then, the computation of INLINEFORM6 , which scales the result depending of the agreement between references.
In this paper we presented WiSeBE, a semi-automatic multi-reference sentence boundary evaluation protocol based on the necessity of having a more reliable way for evaluating the SBD task. We showed how INLINEFORM0 is an inclusive metric which not only evaluates the performance of a system against all references, but also takes into account the agreement between them. According to your point of view, this inclusivity is very important given the difficulties that are present when working with spoken language and the possible disagreements that a task like SBD could provoke.
Results form Table TABREF31 may give an idea that INLINEFORM0 is just an scaled INLINEFORM1 . While it is true that they show a linear correlation, INLINEFORM2 may produce a different system ranking than INLINEFORM3 given the integral multi-reference principle it follows. However, what we consider the most profitable about INLINEFORM4 is the twofold inclusion of all available references it performs. First, the construction of INLINEFORM5 to provide a more inclusive reference against to whom be evaluated and then, the computation of INLINEFORM6 , which scales the result depending of the agreement between references.
We showed how INLINEFORM0 is an inclusive metric which not only evaluates the performance of a system against all references, but also takes into account the agreement between them. 
Answer: It takes into account the agreement between different systems
Question: Where should I go hut skiing in Canada?
Answer: There are hundreds of public and private ski huts in Canada, with the vast majority residing in British Columbia. Many of these huts require a helicopter ride to get you to and from the hut, and offer guides and chefs on site. A good starting point for discovering hut skiing opportunities in British Columbia is to visit the Alpine Club of Canada website.