DataHammer/scimrc huggingface dataset:
Question: Extract some details about the company Body Shop International Limited from the given text
Evidence: The Body Shop International Limited, trading as The Body Shop, is a British cosmetics, skin care and perfume company.
Founded in 1976 by Anita Roddick, the company currently has a range of 1,000 products sold in about 3,000 stores, divided between those owned by the company and franchised outlets in more than 65 countries. 
Originally trading from Brighton, the company is now based in London Bridge and Littlehampton, West Sussex, and is owned by Brazilian cosmetics company Natura as a subsidiary of the Natura & Co group. The company had been owned by the French cosmetics company L'Oréal between 2006 and 2017. In September 2017, L'Oréal sold the company to Brazilian Natura & Co for £880 million.
Answer: 1.	The body shop is a British Cosmetic, skin care and perfume company.
2.	It was founded in 1976 by Anita Roddick.
3.	he company presently sells 1,000 products in around 3,000 stores in more than 65 countries, divided between those owned by the company and franchised outlets.
4.	Originally established in Brighton, the company is now based in London Bridge and Littlehampton, West Sussex, and is owned by the Natura & Co group, a subsidiary of the Brazilian cosmetics giant Natura.
5.	Between 2006 and 2017, L'Oréal, a French cosmetics firm, owned the business. Brazilian Natura & Co. purchased the business from L'Oréal in September 2017 for £880 million.
Question: Extract the names of the teams Jubilee was a part of from the text. Separate them with a comma.
Evidence: Forgiven,X-Men,Generation X,X-Corps,New Warriors,Patsy Walker Temp Agency
Answer: Jubilee was created by writer Chris Claremont and artist Marc Silvestri and first appeared in The Uncanny X-Men #244 (May 1989). Claremont had earlier introduced a "Jubilee" of sorts in The New Mutants Annual #2 (1986). In that story, Darla of the Fat Boys, after being mentally and biologically warped, uses identical powers to those of the later Jubilation Lee and introduces herself as "Jubilee! Whose every move is a celebration!" In her first appearance Jubilation Lee gives a similar self-introduction: "Actually, my name is Jubilee! 'Cause with me, every day's a celebration!" Darla is returned to normal by the end of The New Mutants Annual #2, and no in-story connection between the characters is ever established.

Jubilee appeared regularly as an X-Men team member in The Uncanny X-Men through issue #280 (Sept. 1991), and later was a staple of X-Men (1991) as a member of the X-Men's Blue Team. During the same timeframe, she also served as Wolverine's sidekick in Wolverine vol. 2 #40–75 (1991–1993).

After the Phalanx Covenant storyline in X-Men #16–17 and The Uncanny X-Men #316–317, Jubilee, who was then a teenager, was transferred to the X-Men trainee squad Generation X and starred in the entire run of Generation X #1–75 (1994–2001). After the dissolution of Generation X, Jubilee returned to the pages of The Uncanny X-Men, first as a member of the X-Corporation (#403–406, 2002), and later as a team member in her own right (#423–437, 2003–2004). Jubilee had a six-issue self-titled limited series in 2004 written by Robert Kirkman, but loses her mutant powers in House of M – The Day After #1 (Jan. 2006). She then adopts the alias Wondra and joins the reconstituted New Warriors in New Warriors vol. 4 #1–20 (2007–2009).

Jubilee is affected with vampirism during the "Curse of the Mutants" in X-Men vol. 3 #1 (July 2010) and remained a sporadic character on that title through issue #27 (April 2012), as well as a supporting character in X-23 vol. 3 (2010–2011). In 2011, she saw print in her second four issue limited series, Wolverine and Jubilee written by Kathryn Immonen and drawn by Phil Noto, as an aftermath follow-up to the Curse of the Mutants storyline. Jubilee later featured as a regular character in the all-female X-Men vol. 4 #1–25 (2013–2015), and as a supporting character in Patsy Walker, a.k.a. Hellcat! (2016). She returned as a main cast member in Generation X vol. 2 #1-9, #85-87 (2017-2018) as the adult mentor to the new teenage main characters, during which she was cured of vampirism and had her mutant powers restored.
Question: Queen Elizabeth II was married to whom?
Answer: Prince Philip, Duke of Edinburg
Question: Given these paragraphs about Natural hydrogen, what is another name for it that distinguishes from other forms of hydrogen?
Evidence: Natural hydrogen (known as white hydrogen), is naturally occurring molecular hydrogen on or in Earth (as opposed to hydrogen produced in the laboratory or in industry). The name white hydrogen distinguishes it from green hydrogen, which is produced from renewable energy sources, and from grey, brown or black hydrogen, which is obtained from fossil sources or from the electrolysis of water. Natural hydrogen may be renewable, non-polluting and allows for lower cost operation compared to industrial hydrogen. Natural hydrogen has been identified in many source rocks in areas beyond the sedimentary basins where oil companies typically operate.

Origin of natural hydrogen
There are several sources of natural hydrogen:

- degassing of deep hydrogen from the Earth's crust and mantle;
- reaction of water with ultrabasic rocks (serpentinisation);
- contact of water with reducing agents in the Earth's mantle;
- interaction of water with freshly exposed rock surfaces (weathering);
- decomposition of hydroxyl ions in the structure of minerals;
- Natural radiolysis of water;
- decomposition of organic matter;
- biological activity
- Extraction
- Natural hydrogen is extracted from wells, mixed with other gases such as nitrogen or helium.

Several sources have been identified in France. Geologists Alain Prinzhofer and Eric Derville have demonstrated the existence of large reservoirs in a dozen countries, including Mali and the United States. However, their potential remains difficult to assess.

Numerous emanations on the ocean floor have been identified but are difficult to exploit. The discovery of a significant emergence in Russia in 2008 suggests the possibility of extracting native hydrogen in geological environments.

Geology
Natural hydrogen is generated continuously from a variety of natural sources. There are many known hydrogen emergences on mid-ocean ridges. Another of the known reactions, serpentinisation, occurs under the sea floor (in the oceanic crust).

Diagenetic origin (iron oxidation) in the sedimentary basins of cratons, notably in Russia. Other sources are being explored, such as mantle hydrogen, or hydrogen from radiolysis (natural electrolysis) or from bacterial activity. In France, the Alps and Pyrenees are suitable for exploitation. New Caledonia has hyperalkaline sources that show dihydrogen emissions. A large accumulation of natural hydrogen was discovered in Bourakebougou (Mali).

Characteristics
Dihydrogen is very soluble in fresh water, especially at depth (solubility increases with pressure).

https://en.wikipedia.org/wiki/Natural_hydrogen
Answer: White hydrogen
Question: What are the flaws in the untested assumptions behind the data set?
Evidence: The Flickr30K dataset BIBREF0 is a collection of over 30,000 images with 5 crowdsourced descriptions each. It is commonly used to train and evaluate neural network models that generate image descriptions (e.g. BIBREF2 ). An untested assumption behind the dataset is that the descriptions are based on the images, and nothing else. Here are the authors (about the Flickr8K dataset, a subset of Flickr30K):
“By asking people to describe the people, objects, scenes and activities that are shown in a picture without giving them any further information about the context in which the picture was taken, we were able to obtain conceptual descriptions that focus only on the information that can be obtained from the image alone.” BIBREF1 
What this assumption overlooks is the amount of interpretation or recontextualization carried out by the annotators. Let us take a concrete example. Figure FIGREF1 shows an image from the Flickr30K dataset.
This image comes with the five descriptions below. All but the first one contain information that cannot come from the image alone. Relevant parts are highlighted in bold:
We need to understand that the descriptions in the Flickr30K dataset are subjective descriptions of events. This can be a good thing: the descriptions tell us what are the salient parts of each image to the average human annotator. So the two humans in Figure FIGREF1 are relevant, but the two soap dispensers are not. But subjectivity can also result in stereotypical descriptions, in this case suggesting that the male is more likely to be the manager, and the female is more likely to be the subordinate. rashtchian2010collecting do note that some descriptions are speculative in nature, which they say hurts the accuracy and the consistency of the descriptions. But the problem is not with the lack of consistency here. Quite the contrary: the problem is that stereotypes may be pervasive enough for the data to be consistently biased. And so language models trained on this data may propagate harmful stereotypes, such as the idea that women are less suited for leadership positions.
This paper aims to give an overview of linguistic bias and unwarranted inferences resulting from stereotypes and prejudices. I will build on earlier work on linguistic bias in general BIBREF3 , providing examples from the Flickr30K data, and present a taxonomy of unwarranted inferences. Finally, I will discuss several methods to analyze the data in order to detect biases.
An untested assumption behind the dataset is that the descriptions are based on the images, and nothing else.
Answer: An untested assumption behind the dataset is that the descriptions are based on the images, and nothing else.
Question: How to make an americano ?
Answer: The classical Americano needs a specific ratio between coffee and water: 2 parts of water and 1 part of expresso. 
Ideally, you can use coffee beans and grind them just before you brew.
With a coffee machine: make one shot of expresso in a mug and fill it to the top with additional hot water at 60 degrees Celsius.
Question: How big is vSTS training data?
Evidence: The full dataset comprises both the sample mentioned above and the 819 pairs from our preliminary work, totalling 2677 pairs. Figure FIGREF14 shows the final item similarity distribution. Although the distribution is skewed towards lower similarity values, we consider that all the similarity ranges are sufficiently well covered.
We split the vSTS dataset into training, validation and test partitions sampling at random and preserving the overall score distributions. In total, we use 1338 pairs for training, 669 for validation, and the rest of the 670 pairs were used for the final testing. Similar to the STS task, we use the Pearson correlation coefficient ($\rho $) as the evaluation metric of the task.
The full dataset comprises both the sample mentioned above and the 819 pairs from our preliminary work, totalling 2677 pairs.
We split the vSTS dataset into training, validation and test partitions sampling at random and preserving the overall score distributions. In total, we use 1338 pairs for training, 669 for validation, and the rest of the 670 pairs were used for the final testing.
Answer: The answers are shown as follows:
* 1338 pairs for training
Question: Who are the most famous English writers?
Answer: - William Shakespeare
- Charles Dickens
- Jane Austen
- George Orwell
- C. S. Lewis
Question: When people go to Fábrica de Pastéis de Belém to get a pastel de nata, how do people usually eat it? And what is the recipe.
Evidence: Since the opening of Fábrica de Pastéis de Belém, the original recipe of the pastel de nata is kept in a secret room. The Fábrica de Pastéis de Belém is the most popular place to buy pastéis de nata; the shop is located just a short three-minute walk from the Jerónimos Monastery. The shop offers both takeout and sit-in services and sells over 20,000 pastéis de nata a day. Usually the tart is sprinkled with canela (cinnamon), and often accompanied with a bica (a strong espresso coffee).
Answer: Typically people have their pastel de nata with cinnamon and a strong espresso coffee.
The original recipe is well kept secret since the Fábrica de Pastéis de Belém opened. It is stored on a secret room.
Question: Can you write down some different boroughs of New York City?
Answer: Bronx, Queens, Brooklyn, Staten Island and Manhattan
Question: What are key facts that characterize the country of Canada?
Evidence: Canada is a country in North America. Its ten provinces and three territories extend from the Atlantic Ocean to the Pacific Ocean and northward into the Arctic Ocean, making it the world's second-largest country by total area, with the world's longest coastline. It is characterized by a wide range of both meteorologic and geological regions. The country is sparsely inhabited, with the vast majority residing south of the 55th parallel in urban areas. Canada's capital is Ottawa and its three largest metropolitan areas are Toronto, Montreal, and Vancouver.
Answer: Canada is in North America and has ten provinces organized in three territories.  It boarders three oceans including the Pacific, Atlantic, and Arctic. Although it is one of the largest countries by land mass, its population is sparse.
Question: Where does the data come from?
Evidence: Two corpora were constructed by collecting data from the social networking site ASKfm, where users can create profiles and ask or answer questions, with the option of doing so anonymously. ASKfm data typically consists of question-answer pairs published on a user's profile. The data were retrieved by crawling a number of seed profiles using the GNU Wget software in April and October, 2013. After language filtering (i.e., non-English or non-Dutch content was removed), the experimental corpora comprised 113,698 and 78,387 posts for English and Dutch, respectively.
Two corpora were constructed by collecting data from the social networking site ASKfm
Answer: From ASKfm.
Question: Why we need weekend
Answer: Because you have all right to take rest and live with your family and friend to get ready for the next week battle
Question: Extract all of the dates mentioned in this paragraph and list them using bullets in the format {Date} - {Description}
Evidence: The Carolina Biological Supply Company was founded in 1927 by Dr. Thomas E. Powell Jr., a young geology and biology professor at Elon College (now Elon University). During the 1920s, science teachers had to collect most of the materials they used in their classes and laboratories, which took considerable time away from their primary responsibilities. Like other teachers, Dr. Powell spent much of his own time in the field gathering specimens for his classes. Because he usually got more than he needed, he sold the surplus to his colleagues. His efforts grew into Carolina Biological Supply Company, as Powell foresaw a need for his collecting abilities in the coming years.
Answer: • 1927 - This is when the Carolina Biological Supply Company was founded.
• 1920s - During this time period science teachers had to collect most of the materials they used in their classes and laboratories, which took considerable time away from their primary responsibilities.
Question: Do they validate the transferability of the attacking methods?
Evidence: There are a number of off-the-shelf neural models for sentiment classification BIBREF14, BIBREF15, most of which are based on long-short term memory networks (LSTM) BIBREF16 or convolutional neural networks (CNN) BIBREF14. In this paper, we pre-train three sentiment classifiers: BiLSTM, BiLSTM$+$A, and CNN. These classifiers are targeted by white-box attacking methods to generate adversarial examples (detailed in Section SECREF9). BiLSTM is composed of an embedding layer that maps individual words to pre-trained word embeddings; a number of bi-directional LSTMs that capture sequential contexts; and an output layer that maps the averaged LSTM hidden states to a binary output. BiLSTM$+$A is similar to BiLSTM except it has an extra self-attention layer which learns to attend to salient words for sentiment classification, and we compute a weighted mean of the LSTM hidden states prior to the output layer. Manual inspection of the attention weights show that polarity words such as awesome and disappointed are assigned with higher weights. Finally, CNN has a number of convolutional filters of varying sizes, and their outputs are concatenated, pooled and fed to a fully-connected layer followed by a binary output layer.
Recent development in transformer-based pre-trained models have produced state-of-the-art performance on a range of NLP tasks BIBREF17, BIBREF18. To validate the transferability of the attacking methods, we also fine-tune a BERT classifier for black-box tests. That is, we use the adversarial examples generated for attacking the three previous classifiers (BiLSTM, BiLSTM$+$A and CNN) as test data for BERT to measure its classification performance to understand whether these adversarial examples can fool BERT.
To validate the transferability of the attacking methods, we also test it on a fine-tuned BERT classifier.
Answer: Yes.
Question: What are the best superhero movies of 2022 ?
Answer: The number of superhero movies produced year after year keep increasing  since the first Iron Man movie which was released in 2008. Marvel and Dc comics are leading. Here is the list of the top 5 : The Batman, Black Panther Wakanda Forever, Black Adam, Doctor Strange in the Multiverse of Madness.
Question: What are the research questions posed in the paper regarding EAC studies?
Evidence: In this work, a systematic review of emotionally-aware chatbots is proposed. We focus on three main issues, including, how to incorporate affective information into chatbots, what are resources that available and can be used to build EAC, and how to evaluate EAC performance. The rise of EAC was started by Parry, which uses a simple rule-based approach. Now, most of EAC are built by using a neural-based approach, by exploiting emotion classifier to detect emotion contained in the text. In the modern era, the development of EAC gains more attention since Emotion Generation Challenge shared task on NLPCC 2017. In this era, most EAC is developed by adopting encoder-decoder architecture with sequence-to-sequence learning. Some variant of the recurrent neural network is used in the learning process, including long-short-term memory (LSTM) and gated recurrent unit (GRU). There are also some datasets available for developing EAC now. However, the datasets are only available in English and Chinese. These datasets are gathered from various sources, including social media, online website and manual construction by crowdsourcing. Overall, the difference between these datasets and the common datasets for building chatbot is the presence of an emotion label. In addition, we also investigate the available affective resources which usually use in the emotion classification task. In this part, we only focus on English resources and found several resources from the old one such as LIWC and Emolex to the new one, including DepecheMood and EmoWordNet. In the final part, we gather information about how to evaluate the performance of EAC, and we can classify the approach into two techniques, including qualitative and quantitative assessment. For qualitative assessment, most studies used ISO 9241, which covers several aspects such as efficiency, effectiveness, and satisfaction. While in quantitative analysis, two techniques can be used, including automatic evaluation (by using perplexity) and manual evaluation (involving human judgement). Overall, we can see that effort to humanize chatbots by incorporation affective aspect is becoming the hot topic now. We also predict that this development will continue by going into multilingual perspective since up to now every chatbot only focusing on one language. Also, we think that in the future the studies of humanizing chatbot are not only utilized emotion information but will also focus on a contextual-aware chatbot.
We focus on three main issues, including, how to incorporate affective information into chatbots, what are resources that available and can be used to build EAC, and how to evaluate EAC performance.
Answer: The answers are shown as follows:
* how to incorporate affective information into chatbots, what are resources that available and can be used to build EAC, and how to evaluate EAC performance
Question: Which NMT models did they experiment with?
Evidence: Prior to the MT experiments, sentences were randomly split in three disjoint datasets: training, development, and test. Approximately 13,000 sentences were allocated in the development and test sets, while the remaining was used for training. For the SMT experiment, we followed the instructions of Moses baseline system. For the NMT experiment, we used the Torch implementation to train a 2-layer LSTM model with 500 hidden units in both encoder and decoder, with 12 epochs. During translation, the option to replace UNK words by the word in the input language was used, since this is also the default in Moses.
For the NMT experiment, we used the Torch implementation to train a 2-layer LSTM model with 500 hidden units in both encoder and decoder, with 12 epochs.
Answer: The answers are shown as follows:
* 2-layer LSTM model with 500 hidden units in both encoder and decoder
Question: Which of the following are planets? Sun, Mars, Moon, Pluto, Jupiter, Neptune
Answer: The planets in that list are Mars, Jupiter and Neptune.
Question: Which characters belong to DC or Marvel Universe? Red Hood, Bucky Barnes
Answer: Red Hood is DC, Bucky Barnes is Marvel
Question: Tell me whether these cities are part of ASEAN or not - Bangkok, Singapore, Kuala Lumpur, Kathmandu, Beijing, Tokyo, Osaka
Answer: Bangkok, Singapore, Kuala Lumpur is part of ASEAN. Kathmandu, Beijing, Tokyo, Osaka is not part of ASEAN
Question: What are some good uses for duct tape
Answer: Duct tape is good for patching a hole in a tent, repairing clothes, sealing takeout containers before putting them in a bag or the car, wrapping boxes if there's no packing tape, and keeping someone's mouth shut if you have kidnapped them.
Question: What mode of transport is stereotypically associated with San Francisco?
Answer: The cable car is a famous type of transport in San Francisco