DataHammer/scimrc huggingface dataset:
Question: Given me a list of the seven most recent Indian prime ministers
Answer: Here is the list of the seven most recent Indian Prime ministers:
1. Narendra Modi - 2104 - now
2. Manmohan Singh - 2004 - 2014
3. Atal Bihari Vajpayee 1998 - 2004
4. Inder Kumar Gujral 1997 - 1998
5. H. D. Deve Gowda 1996 - 1997
6. Atal Bihari Vajpayee 1996 - 1996
7. P. V. Narasimha Rao 1991 - 1996
Question: What categories does the dataset come from?
Evidence: We include ten subreddits in the five domains of abuse, social, anxiety, PTSD, and financial, as detailed in tab:data-spread, and our analysis focuses on the domain level. Using the PRAW API, we scrape all available posts on these subreddits between January 1, 2017 and November 19, 2018; in total, 187,444 posts. As we will describe in sec:annotation, we assign binary stress labels to 3,553 segments of these posts to form a supervised and semi-supervised training set. An example segment is shown in fig:stress-example. Highlighted phrases are indicators that the writer is stressed: the writer mentions common physical symptoms (nausea), explicitly names fear and dread, and uses language indicating helplessness and help-seeking behavior.
We include ten subreddits in the five domains of abuse, social, anxiety, PTSD, and financial, as detailed in tab:data-spread, and our analysis focuses on the domain level. 
Answer: The answers are shown as follows:
* abuse, social, anxiety, PTSD, and financial
Question: The Coquerel's coua species was named after who?
Evidence: Coquerel's coua (Coua coquereli) is a species of cuckoo in the family Cuculidae. It is endemic to Madagascar. Its habitat is subtropical or tropical dry forests. It was named in 1867 by the French naturalist Alfred Grandidier in honor of the French navy surgeon and naturalist Charles Coquerel. Coquerel's coua is approximately 40 cm (16 in) in length and has a large blue patch of bare skin around the eye, a characteristic of the Coua genus that is similar to African turacos. The plumage is silky, the crown is black, the upper parts and tail are light brown or greyish-brown, and the lower breast and belly is suffused with red. The iris is red and the beak and legs are slaty grey. As a member of the cuckoo family, it has a reversible third toe and resembles the coucal in its method of scrambling through tangled bushes and lianas while searching for food. Observations indicate that it can climb about 10 m (30 ft) above the ground.
Answer: The Coquerel's coua species was named after the French navy surgeon and naturalist Charles Coquerel.
Question: Who was Lester Menke
Evidence: Lester D. Menke (December 16, 1918 – March 5, 2016) was a state Representative from the Iowa's 5th and 7th Districts. He served in the Iowa House of Representatives from 1973 to 1985, serving as Speaker pro Tempore from 1981 to 1985. After he served in the Iowa House, Menke served as a liaison between Governor Terry Branstad and the legislature for two years. Menke has a B.A. from Morningside College, where he later served as a member of the board of directors, and attended The University of Iowa College of Law for one year. He worked as a farm owner and for an insurance agency. He served on various school boards and served as president of the Iowa Association of School Boards and State Board of Public Instruction and as director of the National Association of State Boards of Education, as well as serving on the Iowa Educational Radio and Television Facilities Board. Menke received Morningside College's Distinguished Alumni award in 1975.
Answer: Lester D. Menke (December 16, 1918 – March 5, 2016) was a state Representative from the Iowa's 5th and 7th Districts. He served in the Iowa House of Representatives from 1973 to 1985, serving as Speaker pro Tempore from 1981 to 1985. 

After he served in the Iowa House, Menke served as a liaison between Governor Terry Branstad and the legislature for two years. Menke has a B.A. from Morningside College, where he later served as a member of the board of directors, and attended The University of Iowa College of Law for one year. He worked as a farm owner and for an insurance agency.

He served on various school boards and served as president of the Iowa Association of School Boards and State Board of Public Instruction and as director of the National Association of State Boards of Education, as well as serving on the Iowa Educational Radio and Television Facilities Board. Menke received Morningside College's Distinguished Alumni award in 1975.
Question: What is a compound statement?
Answer: A compound statement contains two independent clauses of words that can each be their own statement independently
Question: Which characters belong to DC or Marvel Universe? Shazam, Thor
Answer: Thor is Marvel, Shazam is DC
Question: Using examples taken from the text give me a list of the first generation of "skyscrapers" located in the city of Chicago.
Evidence: Early Chicago Skyscrapers is a nomination comprising nine buildings in Chicago's Loop district for inclusion on UNESCO's World Heritage Site list.Submitted by the US Department of the Interior in 2017, it is currently on the tentative list considered for nomination as a UNESCO designated World Heritage Site. Only properties that have been previously listed on a tentative list can be nominated for the World Heritage List.

These buildings were constructed in the last 20 years of the 19th century and represent the first generation of "skyscrapers", high-rise structures reaching up to 20 stories. Construction of these buildings employed novel approaches and technologies, such as the use of steel frames, first elevators, electric lights, and terracotta fireproofing. The architects developed a new aesthetics for the exterior of this new type of buildings. The skyscrapers listed are the Auditorium Building, Second Leiter Building, Marquette Building, Rookery Building, Monadnock Building, Old Colony Building, Fisher Building, Schlesinger & Mayer Building, and Ludington Building.
Answer: Early Chicago Skyscrapers is a term which describes the nine buildings in the Loop district of Chicago, Illinois in the United States. These nine buildings were submitted by the US Department of the Interior in 2017 to be considered as a UNESCO designated World Heritage Site. These buildings are the Auditorium Building, Second Leiter Building, Marquette Building, Rookery Building, Monadnock Building, Old Colony Building, Fisher Building, Schlesinger & Mayer Building, and Ludington Building.
Question: Is this a task other people have worked on?
Evidence: We propose a novel problem of relationship recommendation (RSR). Different from the reciprocal recommendation problem on DSNs, our RSR task operates on regular social networks (RSN), estimating long-term and serious relationship compatibility based on social posts such as tweets.
We propose a novel problem of relationship recommendation (RSR). Different from the reciprocal recommendation problem on DSNs, our RSR task operates on regular social networks (RSN), estimating long-term and serious relationship compatibility based on social posts such as tweets.
Answer: No.
Question: What is the capital of Telangana?
Evidence: Telangana (/ˌtɛlənˈɡɑːnə/ (listen); Telugu: [ˈtelaŋɡaːɳa], Urdu: [ˈtɪləŋɡɑːna] (listen)) is a state in India situated on the south-central stretch of the Indian peninsula on the high Deccan Plateau. It is the eleventh-largest state and the twelfth-most populated state in India with a geographical area of 112,077 km2 (43,273 sq mi) and 35,193,978 residents as per 2011 census. On 2 June 2014, the area was separated from the northwestern part of Andhra Pradesh as the newly formed state of Telangana, with Hyderabad as its capital. Its other major cities include Warangal, Nizamabad, Khammam, Karimnagar and Ramagundam. Telangana is bordered by the states of Maharashtra to the north, Chhattisgarh to the northeast, Karnataka to the west, and Andhra Pradesh to the east and south. The terrain of Telangana consists mostly of the Deccan Plateau with dense forests covering an area of 27,292 km2 (10,538 sq mi). As of 2019, the state of Telangana is divided into 33 districts.
Answer: Hyderabad
Question: Are residual connections necessary for training to converge in experiment with models deeper than Jasper 5x3?
Evidence: For models deeper than Jasper 5x3, we observe consistently that residual connections are necessary for training to converge. In addition to the simple residual and dense residual model described above, we investigated DenseNet BIBREF15 and DenseRNet BIBREF16 variants of Jasper. Both connect the outputs of each sub-block to the inputs of following sub-blocks within a block. DenseRNet, similar to Dense Residual, connects the output of each output of each block to the input of all following blocks. DenseNet and DenseRNet combine residual connections using concatenation whereas Residual and Dense Residual use addition. We found that Dense Residual and DenseRNet perform similarly with each performing better on specific subsets of LibriSpeech. We decided to use Dense Residual for subsequent experiments. The main reason is that due to concatenation, the growth factor for DenseNet and DenseRNet requires tuning for deeper models whereas Dense Residual simply just repeats a sub-blocks.
For models deeper than Jasper 5x3, we observe consistently that residual connections are necessary for training to converge.
Answer: Yes.
Question: Where is the Rudka County
Evidence: Rudka [ˈrutka] is a village in the administrative district of Gmina Trzcianka, within Czarnków-Trzcianka County, Greater Poland Voivodeship, in west-central Poland. It lies approximately 8 kilometres (5 mi) south of Trzcianka, 13 km (8 mi) north-west of Czarnków, and 72 km (45 mi) north-west of the regional capital Poznań.
Answer: Rudka is a village in the administrative district of Gmina Trzcianka, within Czarnków-Trzcianka County, Greater Poland Voivodeship, in west-central Poland. It lies approximately 8 kilometres (5 mi) south of Trzcianka, 13 km (8 mi) north-west of Czarnków, and 72 km (45 mi) north-west of the regional capital Poznań.
Question: What popular books did Stephen King author?
Answer: Stephen King is a prolific author, with a career defined by his horror genre novels. Several of his most famous titles include, "The Stand", "Pet Cemetery", "It", "Carrie", "Cujo", "Misery" and more, have all been turned into television series and movies. Stephen has also written bestselling sci-fi and fantasy stories, which include 11/22/63, and "The Dark Tower" series.
Question: What birds can I find in San Francisco?
Answer: You can find many birds in San Francisco, especially in parks like Golden Gate Park and the Lands End. Some of the birds you might find include:

- American Crow
- Anna's Hummingbird
- Red-tailed Hawk
- Steller's Jay
- Chestnut-backed Chickadee
- Red-winged Blackbird
- Dark-eyed Junco
- Acorn Woodpecker
- House finch
- American Robin
- Song Sparrow
Question: How was the Beaune Altarpiece or The Last Judgement painted
Answer: The Beaune Altarpiece (or The Last Judgement) is a large polyptych c. 1445–1450 altarpiece by the Early Netherlandish artist Rogier van der Weyden, painted in oil on oak panels with parts later transferred to canvas. It consists of fifteen paintings on nine panels, of which six are painted on both sides. Unusually for the period, it retains some of its original frames.

Six of the outer panels (or shutters) have hinges for folding; when closed the exterior view of saints and donors is visible. The inner panels contain scenes from the Last Judgement arranged across two registers. The large central panel spans both registers and shows Christ seated on a rainbow in judgement, while below him, the Archangel Michael holds scales to weigh souls. The lower register panels form a continuous landscape, with the panel on the far proper right showing the gates of Heaven, while the entrance to Hell is on the far proper left. Between these, the dead rise from their graves, and are depicted moving from the central panel to their final destinations after receiving judgement.
Question: Which of these are computer video games: Path of Exile; Playstation; Xbox; Nintendo; Starcraft; Civilization
Answer: Path of Exile; Civilization; Starcraft
Question: What is a flat white.
Answer: Originating from either Australia or New Zealand, a flat white is a coffee based drink typically consisting of a double shot of espresso and steamed milk.  A double shot of espresso amounts to 60ml in volume and this is added to with approximately 100ml of milk.  The process of steaming the milk modifies the proteins to create a thick foamy  consistency allowing baristas to create patterns on top of the milk from the brown of the coffee and white of the milk. This is often referred to as latte art.

Although similar to a latte, the flat white has a stronger coffee flavour due the having a higher proportion of coffee to milk. The latte typically has a total volume of approximately 240ml compared to the 160ml in a flat white.  In addition, the foamy milk is thicker in a flat white giving it a "flatter" appearance.

Although originating from the southern hemisphere, flat whites have gained global popularity and are now both a mainstay for specialist coffee shops as well as large  coffee shop chains such as Starbucks.
Question: How does the proposed approach generate good first draft translation?
Evidence: Previous work on multimodal machine translation has shown that visual information is only needed in very specific cases, for example in the presence of ambiguous words where the textual context is not sufficient. As a consequence, models tend to learn to ignore this information. We propose a translate-and-refine approach to this problem where images are only used by a second stage decoder. This approach is trained jointly to generate a good first draft translation and to improve over this draft by (i) making better use of the target language textual context (both left and right-side contexts) and (ii) making use of visual context. This approach leads to the state of the art results. Additionally, we show that it has the ability to recover from erroneous or missing words in the source language.
This approach is trained jointly to generate a good first draft translation and to improve over this draft by (i) making better use of the target language textual context (both left and right-side contexts) and (ii) making use of visual context.
Answer: This approach is trained jointly to generate a good first draft translation.
Question: How long does it take to golf 18 holes?
Answer: It depends on the number of players in your group and course conditions.  A solo round of 18 holes will take 2.5-3hrs, while it will take 3.5-4.5hrs for a group of four to complete their round under normal conditions.
Question: Who are the almohad
Evidence: The Almohad Caliphate (IPA: /ˈælməhæd/; Arabic: خِلَافَةُ ٱلْمُوَحِّدِينَ or دَوْلَةُ ٱلْمُوَحِّدِينَ or ٱلدَّوْلَةُ ٱلْمُوَحِّدِيَّةُ from Arabic: ٱلْمُوَحِّدُونَ, romanized: al-Muwaḥḥidūn, lit. 'those who profess the unity of God': 246 ) was a North African Berber Muslim empire founded in the 12th century. At its height, it controlled much of the Iberian Peninsula (Al-Andalus) and North Africa (the Maghreb).

The Almohad movement was founded by Ibn Tumart among the Berber Masmuda tribes, but the Almohad caliphate and its ruling dynasty were founded after his death by Abd al-Mu'min al-Gumi.
Answer: The Almohad  was a north African berber muslims empire founded by Ibn Tumart and the berber tribes. They rulled in Morocco in the 12 Century. They controlled Al Andalus and North Africa. They were founded around 1120.
Question: How the Hessian for equation (1) is the kernel matrix?
Evidence: A kernel machine uses the kernel trick to map the non-linear problem into a feature space where the problem may be linearly separable with an appropriate kernel function. Next we give the formal definition of kernel machines discussed in this paper. Given a training data set {X, y} of n training instances where {X ∈ R n×d , y ∈ R n } = {(x 1 , y 1 ), (x 2 , y 2 ), ..., (x n , y n )}, and (x i , y i ) denotes the instance x i ∈ R d with its label y i , the objective of the kernel machine training is to find an optimal ω * which minimizes the structural risk as follows.
min
where λ denotes the regularization constant and f (ω, x i ) = ω, φ(x i ) . The variable ω is defined on the reproducing kernel Hilbert space (RKHS) and •, • is the inner product on the RKHS. The function φ(•) maps the instances from their original data space to a higher dimensional feature space induced by the kernel function. Assume the loss l(•, •) is an affine function of ω. The representer theorem shows that a minimizer of the optimization problem ()
where k(x i , x j ) denotes a positive definite kernel function and k(x i , x j ) = φ(x i ), φ(x j ) . By substituting the expressions of f (ω, x i ) and ω into the Equation (1), we have the objective with respect to α below.
where α = [α 1 . . . α n ] T is an n-dimension vector, each dimension of which corresponds to the contribution of a training instance to the kernel machine.
Then, we can derive that the Hessian matrix H = [H ij ] n×n of Problem () is equal to the kernel matrix. The element in the i-th row and j-th column of the matrix H is H ij = k(x i , x j ). The derivations of the first and second derivatives can be found in the supplementary material. For clarity, we use kernel matrix H to denote the Hessian matrix of the kernel machine in the rest of the paper.
For clarity, we use kernel matrix H to denote the Hessian matrix of the kernel machine in the rest of the paper.
Answer: Sorry for your confusion. We have reorganized Section 2 in the manuscript and Section 1 in the supplementary material. The first derivative of the objective with respect to \alpha is shown as Equation 5 in the supplementary material. From Equation 5, the second order derivative with respect to an \alpha is a kernel value and thus the Hessian matrix which is formed by all the second-order derivatives (i.e., kernel values) is then the kernel matrix.
Question: Can you give me some reasons why Hockey is not as popular in the United States as many other sports?
Answer: Yes,

1. Hockey requires a field of ice which can only naturally occur in colder climates which limits the geographic appeal of the sport. Also, ice rinks are not as readily available around the country as, say, a soccer field or basketball court.

2. Hockey is an expensive sport to play. One needs to purchase pads, sticks, helmets, and other gear, as well as rent out an ice rink for practices and games.

3. In addition to cost, the barrier for entry related to skill is quite high compared to most other sports. One must first be able to ice skate before playing hockey which is a skill many people don't have.
Question: What spices are in shawarma seasoning?
Answer: There are many different variations to shawarma seasoning, but the most common spices include cilantro powder, cumin, paprika, turmeric, allspice, black pepper, chili powder, cinnamon, cloves, ginger, nutmeg, and salt.
Question: When was Santa Monica founded?
Evidence: Santa Monica (Spanish for 'Saint Monica'; Santa Mónica) is a city in Los Angeles County, situated along Santa Monica Bay on California's South Coast. Santa Monica's 2020 U.S. Census population was 93,076. Santa Monica is a popular resort town, owing to its climate, beaches, and hospitality industry. It has a diverse economy, hosting headquarters of companies such as Hulu, Universal Music Group, Lionsgate Films, and The Recording Academy.

Santa Monica traces its history to Rancho San Vicente y Santa Mónica, granted in 1839 to the Sepúlveda family of California. The rancho was later sold to John P. Jones and Robert Baker, who in 1875, along with his Californio heiress wife Arcadia Bandini de Stearns Baker, founded Santa Monica, which incorporated as a city in 1886. The city developed into a seaside resort during the late 19th and early 20th centuries, with the creation of tourist attractions such as Palisades Park, the Santa Monica Pier, Ocean Park, and the Hotel Casa del Mar.
Answer: Santa Monica was founded in 1886.
Question: Why the ELMo embeddings are used with a residual LSTM?
Evidence: Over the few past years, the emergence of deep neural networks has fundamentally changed the design of entity detection systems. Consequently, recurrent neural networks (RNN) have found popularity in the field since they are able to learn long term dependencies of sequential data. The recent success of neural network based architectures principally comes from its deep structure. Training a deep neural network, however, is a difficult problem due to vanishing or exploding gradients. In order to solve this, LSTMs were proposed. An LSTM is an internal memory cell controlled by forget gate and input gate networks. A forget gate in an LSTM layer which determines how much prior memory should be passed into the next time increment. Similarly, an input gate scales new input to memory cells. Depending on the states of both gates, LSTM is able to capture long-term or short-term dependencies for sequential data. This is an ideal property for many NLP tasks.
The architecture of our proposed model is shown in Figure 2. The input is a list of tokens and the output are the predicted entity types. The ELMo embeddings are then used with a residual LSTM to learn informative morphological representations from the character sequence of each token. We then pass this to a softmax layer as a tag decoder to predict the entity types.
Answer: To learn informative morphological representations from the character sequence of each token
Question: I need you to divide the following into solids, liquids and gasses. Gold, oxygen, helium, water, coffee, wood, blood, sand, neon, steel, rock, carbon dioxide, copper, ice and milk.
Answer: Gold, wood, sand, steel, rock, copper, ice are solids. Water, coffee, blood and milk are liquids. Oxygen, helium, neon, carbon dioxide are gasses.
Question: What would the authors like to do?
Evidence: LID of short texts, informal styles and similar languages remains a difficult problem which is actively being researched. The proposed algorithm was evaluated on three existing datasets and compared to the implementations of three public LID implementations as well as to reported results of four other algorithms. It performed well relative to the other methods beating their results. However, the performance is dependent on the support of the lexicon.
We would like to investigate the value of a lexicon in a production system and how to possibly maintain it using self-supervised learning. We are investigating the application of deeper language models some of which have been used in more recent DSL shared tasks. We would also like to investigate data augmentation strategies to reduce the amount of training data that is required.
Further research opportunities include data harvesting, building standardised datasets and shared tasks for South Africa as well as the rest of Africa. In general, the support for language codes that include more languages seems to be growing, discoverability of research is improving and paywalls seem to no longer be a big problem in getting access to published research.
We would like to investigate the value of a lexicon in a production system and how to possibly maintain it using self-supervised learning. We are investigating the application of deeper language models some of which have been used in more recent DSL shared tasks. We would also like to investigate data augmentation strategies to reduce the amount of training data that is required.
Answer: They would like to investigate the value of a lexicon in a production system and how to possibly maintain it using self-supervised learning. They are investigating the application of deeper language models some of which have been used in more recent DSL shared tasks. They would also like to investigate data augmentation strategies to reduce the amount of training data that is required.