DataHammer/scimrc huggingface dataset:
Question: Is the HoME the first major interactive platform to support high-fidelity audio?
Evidence: Human learning occurs through interaction BIBREF0 and multimodal experience BIBREF1 , BIBREF2 . Prior work has argued that machine learning may also benefit from interactive, multimodal learning BIBREF3 , BIBREF4 , BIBREF5 , termed virtual embodiment BIBREF6 . Driven by breakthroughs in static, unimodal tasks such as image classification BIBREF7 and language processing BIBREF8 , machine learning has moved in this direction. Recent tasks such as visual question answering BIBREF9 , image captioning BIBREF10 , and audio-video classification BIBREF11 make steps towards learning from multiple modalities but lack the dynamic, responsive signal from exploratory learning. Modern, challenging tasks incorporating interaction, such as Atari BIBREF12 and Go BIBREF13 , push agents to learn complex strategies through trial-and-error but miss information-rich connections across vision, language, sounds, and actions. To remedy these shortcomings, subsequent work introduces tasks that are both multimodal and interactive, successfully training virtually embodied agents that, for example, ground language in actions and visual percepts in 3D worlds BIBREF3 , BIBREF4 , BIBREF14 .
For virtual embodiment to reach its full potential, though, agents should be immersed in a rich, lifelike context as humans are. Agents may then learn to ground concepts not only in various modalities but also in relationships to other concepts, i.e. that forks are often in kitchens, which are near living rooms, which contain sofas, etc. Humans learn by concept-to-concept association, as shown in child learning psychology BIBREF1 , BIBREF2 , cognitive science BIBREF15 , neuroscience BIBREF16 , and linguistics BIBREF17 . Even in machine learning, contextual information has given rise to effective word representations BIBREF8 , improvements in recommendation systems BIBREF18 , and increased reward quality in robotics BIBREF19 . Importantly, scale in data has proven key in algorithms learning from context BIBREF8 and in general BIBREF20 , BIBREF21 , BIBREF22 .
To this end, we present HoME: the Household Multimodal Environment (Figure 1 ). HoME is a large-scale platform for agents to navigate and interact within over 45,000 hand-designed houses from the SUNCG dataset BIBREF23 . Specifically, HoME provides:
HoME is a general platform extensible to many specific tasks, from reinforcement learning to language grounding to blind navigation, in a real-world context. HoME is also the first major interactive platform to support high fidelity audio, allowing researchers to better experiment across modalities and develop new tasks. While HoME is not the first platform to provide realistic context, we show in following sections that HoME provides a more large-scale and multimodal testbed than existing environments, making it more conducive to virtually embodied learning in many scenarios.
HoME is also the first major interactive platform to support high fidelity audio, allowing researchers to better experiment across modalities and develop new tasks.
Answer: Yes, it is.
Question: Without quoting directly from the text give me a summary of what skateboarding is.
Evidence: Skateboarding is an action sport originating in the United States that involves riding and performing tricks using a skateboard, as well as a recreational activity, an art form, an entertainment industry job, and a method of transportation. Skateboarding has been shaped and influenced by many skateboarders throughout the years. A 2009 report found that the skateboarding market is worth an estimated $4.8 billion in annual revenue, with 11.08 million active skateboarders in the world.
Answer: Skateboarding is an action sport originating in the United States that involves riding and performing tricks using a skateboard, as well as a recreational activity, an art form, an entertainment industry job, and a method of transportation. Skateboarding has been shaped and influenced by many skateboarders throughout the years. A 2009 report found that the skateboarding market is worth an estimated $4.8 billion in annual revenue, with 11.08 million active skateboarders in the world. In 2016, it was announced that skateboarding would be represented at the 2020 Summer Olympics in Tokyo, for both male and female teams.

Since the 1970s, skateparks have been constructed specifically for use by skateboarders, freestyle BMXers, aggressive skaters, and more recently, scooters. However, skateboarding has become controversial in areas in which the activity, although illegal, has damaged curbs, stoneworks, steps, benches, plazas, and parks.
Question: What languages are explored?
Evidence: We used the Universal Dependencies Treebank UD v2.1 BIBREF0 for our experiments. We picked four low-resource/high-resource language pairs, each from a different family: Danish/Swedish (da/sv), Russian/Bulgarian (ru/bg), Finnish/Hungarian (fi/hu), Spanish/Portuguese (es/pt). Picking languages from different families would ensure that we obtain results that are on average consistent across languages.
We used the Universal Dependencies Treebank UD v2.1 BIBREF0 for our experiments. We picked four low-resource/high-resource language pairs, each from a different family: Danish/Swedish (da/sv), Russian/Bulgarian (ru/bg), Finnish/Hungarian (fi/hu), Spanish/Portuguese (es/pt). Picking languages from different families would ensure that we obtain results that are on average consistent across languages.
Answer: The answers are shown as follows:
* Danish/Swedish (da/sv), Russian/Bulgarian (ru/bg), Finnish/Hungarian (fi/hu), Spanish/Portuguese (es/pt)
Question: What kind of disease is wheat mildew
Answer: Wheat mildew is a wheat disease that affects the ear, and is brought on by causes somewhat similar to those that cause blight, though at a more advanced period of the season. If this disorder comes on immediately after the first appearance of the ear, the straw is also affected—but if the grain is nearly or fully formed, injury to the straw is less discernible. Wheat may mildew where the straw is perfectly fresh, but only rarely. A severe mildew, however, retards further grain and straw maturation and leads to death. Something akin to mildew is the gum, which, in all warm moist seasons, attaches itself to the ear, and often causes considerable damage. All these different disorders are generally accompanied by insects, and by minute parasitic vegetable growths, considered by many to be the cause of the damage. Their appearance, however, may justly be attributed to the diseased state of the plant; for wherever putrefaction takes place, either in animal or vegetable substances, the presence of these parasites will never be wanting.

Another disorder that affects wheat is brought on by excessive heat, which makes the plants suffer from malnutrition, and become sickly and feeble. In this atrophic state a kind of dust gathers on the stalks and leaves, which increases with the disease, till the plant is in a great measure worn out and exhausted. The only remedy in this case, and it is one that cannot easily be administered by the hand of man, is a plentiful supply of moisture, by which, if it is received before consumption is too far advanced, the crop is benefited in a degree proportional to the extent of nourishment received, and the stage at which the disease has arrived.

Some people have recommended using blighted and mildewed wheat for seed. This, however may be hazardous. Light or defective wheat does vegetate and produce a plant, but the plant may be of poor quality and incapable of withstanding winter blasts.
Question: Is it safe to smoke at a gas station?
Answer: No, it is unsafe to smoke at a gas station because there is a risk that fuel could be ignited and cause a fire.
Question: Write a positive Yelp review for a Chinese restaurant called Dim Sum Queen
Answer: We went to Dim Sum Queen for lunch today and absolutely loved it. The Xiao Long Bao was juicy and fresh, the pork buns were perfectly fluffy, and everything was so fast. Great ambiance as well, and lots of space for large groups. Definitely coming again!
Question: What were Georgije Hranislav hobbies?
Evidence: On 24 January 1829, Archimandrite Georgije was consecrated Bishop of Pakrac, since the former Bishop Josef (Putnik) moved to the Timisoara Cathedral. Bishop Georgije remained there for a decade.

In 1839, Bishop Georgije was transferred to the Diocese of Bačka on 26 May. With the death of Metropolitan Stefan Stanković, he administered the Metropolitanate of Karlovci in the period from 31 July 1841 until the election of the new Metropolitan in 1842.

Bishop Georgije was a very educated man of his time and had a penchant for literature, translating, writing and collecting books. His contemporaries were men of letters such as Sava Mrkalj, Jovan Muškatirović, Sava Tekelija, Lukijan Mušicki, Pavle Solarić, and Jovan Savić.

In addition, he helped the poor and educated young people. He translated a German cookbook into Serbian in 1804.

Georgije Hranislav died on 22 June 1843. He was buried in the Cathedral of the Serbian Orthodox Church of Novi Sad
Answer: Georgije Hranislav had several interesting hobbies, including: literature, translating, writing and collecting books.
Question: How do I open a pomegranate without exploding?
Answer: The trick is to open the pomegranate in a bowl of water. This way, the water will contain any bursts of juice from the pomegranate seeds.
Question: Who are the Wagner group
Evidence: The Wagner Group (Russian: Группа Вагнера, tr. Gruppa Vagnera), also known as PMC Wagner (Russian: ЧВК «Вагнер», tr. ChVK «Vagner»; lit. 'Wagner Private Military Company'), is a Russian paramilitary organization. It is variously described as a private military company (PMC), a network of mercenaries, or a de facto private army of Russian President Vladimir Putin. The group operates beyond the law in Russia, where private military contractors are officially forbidden
Answer: They are a private military organization that is endorsed by Russian President Vladimir Putin and is being used in the ongoing war against Ukraine.
Question: Which of the following are cities in the PNW in the US: Seattle, Portland, Hillsboro, Eugene, Tacoma, Vancouver, Surrey, Richmond.
Answer: Seattle, Portland, Hillsboro, Eugene, Tacoma, Vancouver are cities in PNW. Vancouver is also in Canada but there's a Vancouver in WA as well.
Question: Extract the names of the Formula One teams Verstappen was a part of from the text. Separate them with a comma.
Evidence: Verstappen is the son of racing drivers Jos Verstappen, who also competed in Formula One, and Sophie Kumpen. He had a successful run in junior karting and single-seater categories – including KF3, WSK World Series, KZ2 and European Formula 3 – beating several records.

At the 2015 Australian Grand Prix, when he was aged 17 years, 166 days, he became the youngest driver to compete in Formula One. After spending the 2015 season with Scuderia Toro Rosso, Verstappen started his 2016 campaign with the Italian team before being promoted to parent team Red Bull Racing after four races as a replacement for Daniil Kvyat. At the age of 18, he won the 2016 Spanish Grand Prix on his debut for Red Bull Racing, becoming the youngest-ever driver and the first Dutch driver to win a Formula One Grand Prix. After winning the 2021 Abu Dhabi Grand Prix, Verstappen became the first Dutch driver to win the Formula One World Championship, and the 34th Formula One World Drivers' Champion. He won his second consecutive Formula One championship the next season.
Answer: Scuderia Toro Rosso, Red Bull Racing
Question: When I use Delta Lake, will I be able to port my code to other Spark platforms easily?
Answer: Yes. When you use Delta Lake, you are using open Apache Spark APIs so you can easily port your code to other Spark platforms. To port your code, replace delta format with parquet format.
Question: What dataset is used to measure accuracy?
Evidence: Training parallel corpus had 18805 lines of annotated code in it. The training model is executed several times with different training parameters. During the final training process, 500 validation data is used to generate the recurrent neural model, which is 3% of the training data. We run the training with epoch value of 10 with a batch size of 64. After finishing the training, the accuracy of the generated model using validation data from the source corpus was 74.40% (Fig. FIGREF17).
During the final training process, 500 validation data is used to generate the recurrent neural model, which is 3% of the training data.
After finishing the training, the accuracy of the generated model using validation data from the source corpus was 74.40%
Answer: The answers are shown as follows:
* validation data
Question: What are the native animals of Antarctica?
Evidence: Antarctica (/ænˈtɑːrktɪkə/) is Earth's southernmost and least-populated continent. Situated almost entirely south of the Antarctic Circle and surrounded by the Southern Ocean (also known as the Antarctic Ocean), it contains the geographic South Pole. Antarctica is the fifth-largest continent, being about 40% larger than Europe, and has an area of 14,200,000 km2 (5,500,000 sq mi). Most of Antarctica is covered by the Antarctic ice sheet, with an average thickness of 1.9 km (1.2 mi).
Antarctica is, on average, the coldest, driest, and windiest of the continents, and it has the highest average elevation. It is mainly a polar desert, with annual precipitation of over 200 mm (8 in) along the coast and far less inland. About 70% of the world's freshwater reserves are frozen in Antarctica, which, if melted, would raise global sea levels by almost 60 metres (200 ft). Antarctica holds the record for the lowest measured temperature on Earth, −89.2 °C (−128.6 °F). The coastal regions can reach temperatures over 10 °C (50 °F) in summer. Native species of animals include mites, nematodes, penguins, seals and tardigrades. Where vegetation occurs, it is mostly in the form of lichen or moss.
The ice shelves of Antarctica were probably first seen in 1820, during a Russian expedition led by Fabian Gottlieb von Bellingshausen and Mikhail Lazarev. The decades that followed saw further exploration in French, American, and British expeditions. The first confirmed landing was by a Norwegian team in 1895. In the early 20th century, there were a few expeditions into the interior of the continent. British explorers were the first to reach the magnetic South Pole in 1909, and the geographic South Pole was first reached in 1911 by Norwegian explorers.
Answer: Native species of animals in Antarctica include mites, nematodes, penguins, seals and tardigrades.
Question: What did the author use as a baseline?
Evidence: We used the attention-based NMT BIBREF2 as a baseline-NMT, the encoder-decoder-reconstructor BIBREF3 and the encoder-decoder-reconstructor that jointly trained forward translation and back-translation without pre-training. The RNN used in the experiments had 512 hidden units, 512 embedding units, 30,000 vocabulary size and 64 batch size. We used Adagrad (initial learning rate 0.01) for optimizing model parameters. We trained our model on GeForce GTX TITAN X GPU. Note that we set the hyper-parameter INLINEFORM0 on the encoder-decoder-reconstructor same as tu2016neural.
We used the attention-based NMT (Bahdanau et al., 2015) as a baseline-NMT, the encoderdecoder-reconstructor (Tu et al., 2017) and the encoder-decoder-reconstructor that jointly trained forward translation and back-translation without pre-training.
Answer: They used the attention-based NMT as a baseline-NMT.
Question: Given a reference text about "More", when was it the top song on Christian radio and how long did it maintain its spot?
Evidence: "More" is a song written and performed by American contemporary Christian musician Matthew West, from his first album, Happy. The album was released in late 2003, and it was the first and most successful radio single of West's career up to that time. The song stayed at No. 1 on Christian radio for nine consecutive weeks during 2004, breaking the previous record of eight weeks. In 2004, it was the most-played contemporary Christian song of the year.

By request of astronaut Rex J. Walheim, "More" was played during the Day 5 wake-up call aboard STS-135, NASA's last Space Shuttle fligh
Answer: The song "More" was the top song on Christian radio for nine weeks in 2004.
Question: What is Canada known for?
Answer: Canada is known for being a large country with cold winters and a small population given its large size. Canada has a diverse population and high rates of immigration, making it a very multi-cultural country. Canadians are well known for being polite, kind people. Canada excels in winter sports including ice hockey and figure skating. Poutine is a French Canadian dish that is very popular across the entire country.
Question: What is meditation?
Answer: Meditation is the practice of focusing on the mind on a particular object, such a the breath, to calm the mind and bring clarity. Through various meditation practices individual bring attention and awareness to mental activity. It is through this awareness that mental clarity is achieved.  

Meditation has been known to reduce stress and anxiety as well as bring a greater sense of ease within individuals.
Question: Given this question about tourism, what country is the 6th most visited country?
Evidence: As of 2017, Mexico was the 6th most visited country in the world and had the 15th highest income from tourism in the world which is also the highest in Latin America. The vast majority of tourists come to Mexico from the United States and Canada followed by Europe and Asia. A smaller number also come from other Latin American countries. In the 2017 Travel and Tourism Competitiveness Report, Mexico was ranked 22nd in the world, which was 3rd in the Americas.
Answer: Mexico
Question: What is the best location for a family vacation in western Europe?
Answer: The best location depends on individual tastes and preferences.  

For a vacation in a city, you can’t beat Paris.  There is a large range of available cuisine, from inexpensive bistros and cafes, to very expensive, Michelin starred restaurants.  It is hard to get a bad meal in Paris.  The sightseeing also is impressive, with modern architecture combined with classic structures, and many museums to fill your days. Getting around Paris is very easy, as it is a very walkable city and also has an efficient and relatively inexpensive public transportation system.  

For a lake vacation, Lake Como is wonderful, and in particular Bellagio, which is widely regarded as the prettiest village in Lake Como.  Getting to Bellagio is fairly easy, as it’s close to Milan.  The food is reasonably priced, although it’s generally northern Italian food (with limited options for other ethnic food).  Transportation around the lake is convenient with an efficient ferry service on Lake Como, although getting into the individual villages can be a bit challenging given the hills (so expect to walk!).  Many villages near Bellagio are also very quaint, and within walking distance – you’ll definitely get good exercise going from village to village.

For a seaside vacation, Dubrovnik is a great choice.  It’s not so convenient to get there from the United States, especially for those in the western United States since there are no direct flights.  However, it’s well worth the trip.  This walled city is jaw dropping beautiful.  The people are among the friendliest in Europe.  The food is fairly inexpensive and delicious, with a lot of seafood options.  And some restaurants are literally perched off of a cliff, so the views are incredible. Croatian dried lemons and oranges are fantastic, and a specialty of the region.  There also is beautiful pottery.
Question: Imagine a world where life expectancy is fixed and the same for everyone at birth, yet people can engage in life expectancy "donation" – meaning that someone can extend your life three years longer at the expense of theirs. Talk about a likely scenario in this world that involves manipulated, coerced donation.
Answer: Those with power and money could lure the underprivileged groups into "donating" their life expectancy in exchange for a better future. Assuming that illnesses are still not eradicated, another scenario involving coerced donation could be those in control of the medications force the patients to cut their life short in order to get treated.
Question: Which of these countries are in South America: Mexico, Peru, Brazil, Chile, Ghana, India.
Answer: Peru, Brazil, and Chile are in South America. Mexico is in North America, while Ghana is in Africa and India is in Asia.
Question: Is there a lack of uniformity in the evaluation?
Evidence: Our implementation is in PyTorch and depends on the VISSL, MMClassification (Contributors, 2020), and Weights & Biases libraries. The code is attached and will be released for publication.
Stage 0 (source) We train residual networks with various depths (including 18, 50, 101), and initializations (ImageNet pretraining or Kaiming init when training from scratch). We optimize cross-entropy loss by SGD with an initial learning rate 0.1, momentum 0.9, weight decay 0.0001, batch size 256. We do not apply label smoothing except for SHOT, as it specifically includes it. We adopt the standard data augmentation pipeline from ImageNet training, such as random cropping, random flipping, and color jitter. We choose ImageNet statistics as the default input mean and variance for all models.
Stage 1 (teacher) We experiment with three types of teacher models: 1) source-only, 2) TENT-IM, 3) SHOT. To optimize this altered loss, we choose SGD with learning rate 0.0001, momentum 0.9, and weight decay 0.0001. In addition to batch normalization, we also update convolutional layers except the final classification layer. As for SHOT, We execute the authors' open-sourced codebase with the same hyper-parameters for various architectures , initialization (from scratch and ImageNet pretrain), and domain shifts (train to val/test splits on VisDA-C).
Stage 2 (student) We experiment with two designs as students: 1) source-only, 2) contrastive learning. Specifically, we leverage some of off-the-shelf contrastive learning methods to initialize target-domain representation, such as MoCo v2, SimSiam SwAV, Barlow Twins. Compared to their training recipes on ImageNet, we have more epochs on VisDA-C val/test with the same batch size, learning rate, data augmentation, and model architecture, to make the training procedure longer with the smaller amount of images.
Stage 3 (teacher-student) By default, the whole knowledge distillation consists of three phases, where each phase has 10 epochs to train the student model with the hard pseudo label. The student would be reset to the contrastive model to avoid error accumulation at the beginning of every phase. The teacher would be replaced with the latest student before starting the next phase, so that the quality of pseudo-labeling could be improved gradually. We utilize SGD with an initial learning rate 0.01, momentum 0.9, weight decay 0.0001, batch size 256, and cosine annealing scheduler.
Table 2: Classification accuracy of on-target adaptation on VisDA-C (validation) across all categories and averaged over classes (avg.) and images (acc.). R18/50/101S denotes ResNet-18/50/101 randomly initialized from scratch and R18/50/101P denotes ResNet-18/50/101 pretrained on ImageNet.
Answer: Please see "Evaluation" under our general response. Our experiments report both controlled comparisons and exploratory results where we use our new capacity to change the target architecture. The reported combinations actually favor the compared methods, as we clarify in using the preferred configuration of SHOT for instance. We have also included R50S in Table 2 as requested.