DataHammer/scimrc huggingface dataset:
Question: Why is the RTE not suitable as such to test a precise NLI system?
Evidence: We find that our hypothesis is validated: RTE is not suitable as such to test a precise NLI system, because, for entailment to hold as tagged in RTE, much world-knowledge is required and many missing hypotheses are omitted.
By using a crowd of experts to repair the missing hypotheses, we have constructed a dataset of 150 precise entailment problems, based on text found in real-world corpora. Even though the dataset is on the small size, it is, to the best of our knowledge, the first of this kind.
An issue with the method that we used to construct our new dataset of entailment problems is that it is difficult to scale: it demands several minutes of scarce expert work per constructed problem. Our plan is to investigate the possibility to gamify the process, so that lots of people can participate in the construction of precise entailment problems, as a form of entertainment. We leave any detail to further work, but this would be an asymmetric game, where one one player tries construct watertight entailment problems, and the opposing player would try and refute such entailment problems (say, by giving counter-examples). Identifying the possible kind of mistakes, as we have done here, will help prompting the players about things to look for — in either of the possible roles.
Finally we find it striking that many mistakes committed in RTE are falling for classical fallacies (appealing to authority accounts for more than a quarter of errors). Thus, we believe that while the entailment problems are useful for the construction of NLI systems, the added hypotheses (or moves taken in our hypothetical game) could be of interest to the linguistic community at large.
We find that our hypothesis is validated: RTE is not suitable as such to test a precise NLI system, because, for entailment to hold as tagged in RTE, much world-knowledge is required and many missing hypotheses are omitted.
Answer: Because, for entailment to hold as tagged in RTE, much world-knowledge is required and many missing hypotheses are omitted.
Question: What is data denormalization in data warehouse?
Answer: Denormalize the data, which means adding redundant columns to some dimension tables to make querying and working with the data faster and easier. The purpose is to trade some redundancy (duplication of data) in the data model for increased query speed, by avoiding computationally expensive join operations.
Question: By how much is precission increased?
Evidence: FLOAT SELECTED: Figure 3: ROUGE Quality of produced summaries in term of precision.
FLOAT SELECTED: Figure 3: ROUGE Quality of produced summaries in term of precision.
Answer: ROUGE-1 increases by 0.05, ROUGE-2 by 0.06 and ROUGE-L by 0.09
Question: In World Wrestling Championship 2022 Free Style Wrestling India won 2 bronze medals out of total how many medals
Answer: 120 medals(24th rank in over all medal tally)
Question: What's the capital city of Czechoslovakia?
Answer: Czechoslovakia is no longer a sovereign state. It ceased to exist following the deposition of its communist leaders in a process known as the Velvet Revolution. Following the fall of that regime it split peacefully at the end of 1992 into the Czech Republic and Slovakia. The capital cities of those two nations are Prague and Bratislava respectively. While Czechoslovakia was in existence Prague was its capital.
Question: What is nomadism?
Answer: Nomadism is a way of living in which people don't have a permanent place to live. Instead, they move around a certain area in search of food and grazing land. The change from being nomadic to staying in one place is what led to the first civilizations.
Question: What is Hasora discolor located?
Evidence: Hasora discolor, the green awl, is a butterfly of the family Hesperiidae. It is found as several subspecies in Australia (where it is found along the south-eastern coast of New South Wales and the northern Gulf and north-eastern coast of Queensland), the Aru Islands, Irian Jaya, the Kei Islands, Maluku and Papua New Guinea.
Answer: Hasora discolor can be found in New South Wales, Australia
Question: What supports the claim that injected CNN into recurent units will enhance ability of the model to catch local context and reduce ambiguities?
Evidence: The embedding-wise convolution is to apply a convolution filter w $\in \mathbb {R}^{\mathcal {\\}k*d}$ to a window of $k$ word embeddings to generate a new feature, i.e., summarizing a local context of $k$ words. This can be formulated as
By applying the convolutional filter to all possible windows in the sentence, a feature map $c$ will be generated. In this paper, we apply a same-length convolution (length of the sentence does not change), i.e. $c \in \mathbb {R}^{\mathcal {\\}n*1}$. Then we apply $d$ filters with the same window size to obtain multiple feature maps. So the final output of CNN has the shape of $C \in \mathbb {R}^{\mathcal {\\}n*d}$, which is exactly the same size as $n$ word embeddings, which enables us to do exact word-level attention in various tasks.
The embedding-wise convolution is to apply a convolution filter w $\in \mathbb {R}^{\mathcal {\\}k*d}$ to a window of $k$ word embeddings to generate a new feature, i.e., summarizing a local context of $k$ words.
By applying the convolutional filter to all possible windows in the sentence, a feature map $c$ will be generated.
Answer: The answers are shown as follows:
* word embeddings to generate a new feature, i.e., summarizing a local context
Question: Were the two metrics independently when assessing the generation quality on WeiboDial?
Evidence: Dialogue evaluation is an open problem and existing works have found that automatic metrics have low correlation to human evaluation BIBREF35 , BIBREF36 , BIBREF37 . Thus, we resorted to manual evaluation to assess the generation quality on WeiboDial. We randomly sampled 200 posts from the test set and collected the generated results from all the models. For each pair of responses (one from ARAML and the other from a baseline, given the same input post), five annotators were hired to label which response is better (i.e. win, lose or tie) in terms of grammaticality (whether a response itself is grammatical and logical) and relevance (whether a response is appropriate and relevant to the post). The two metrics were evaluated independently.
The evaluation results are shown in Table TABREF35 . To measure the inter-annotator agreement, we calculated Fleiss' kappa BIBREF38 for each pair-wise comparison where results show moderate agreement ( INLINEFORM0 ). We also conducted sign test to check the significance of the differences.
As shown in Table TABREF35 , ARAML performs significantly better than other baselines in all the cases. This result indicates that the samples surrounding true responses provide stable rewards for the generator, and stable RAML training paradigm significantly enhances the performance in both metrics.
The two metrics were evaluated independently.
Answer: Yes, they are.
Question: Do you know anything about the writer Joshua Braff
Evidence: Joshua Braff (born October 11, 1967) is an American writer.

Braff's first novel, The Unthinkable Thoughts of Jacob Green, described as a Jewish coming of age tale, was published in 2004 by Algonquin Books of Chapel Hill. The Unthinkable Thoughts of Jacob Green was an ALA Notable Book, named to Booklist's Top 10 1st Novels List, and chosen for the Barnes & Noble Discover Great New Writers program. His second novel Peep Show was published by Algonquin in 2010. In a four-star review of Peep Show, People said, “Braff skillfully illuminates the failures and charms of a broken family. That teen longing for adults to act their age haunts long after the final page.”
Answer: Joshua Braff (born October 11, 1967) is an American writer. Braff's first novel, The Unthinkable Thoughts of Jacob Green, described as a Jewish coming of age tale, was published in 2004 by Algonquin Books of Chapel Hill.

The Unthinkable Thoughts of Jacob Green was an ALA Notable Book, named to Booklist's Top 10 1st Novels List, and chosen for the Barnes & Noble Discover Great New Writers program. His second novel Peep Show was published by Algonquin in 2010. 

In a four-star review of Peep Show, People said, “Braff skillfully illuminates the failures and charms of a broken family. That teen longing for adults to act their age haunts long after the final page.”
Question: Which of the following are in the X-men: Wolverine, Cyclops, Gandalf, He-man and Gambit
Answer: Wolverine, Cyclops and Gambit are all in or were in the X men. Gandalf is a wizard from Lord of the Rings and He-man is an animated super hero but wasn't in the X men.
Question: Which characters belong to DC or Marvel Universe? Mr Fantastic, Plastic Man, Elongated Man
Answer: Plastic Man and Elongated Man are DC, Mr Fantastic is Marvel
Question: Rank these transportation mode with respect to their CO2 impact from largest to smallest: train, plane, car
Answer: plane, car, train
Question: Brainstorm what is the best virtual cycling platform ?
Answer: There are multiple cycling platforms to choose from, each with their own pro’s and con’s.

Wahoo System is great for people who want to follow a dedicated training plan, and select from a large list of predefined workouts.  Users can also ride content from RGT thanks to Wahoo’s acquisition of the company.  Wahoo system is aimed at what is defined as “time crunched athletes, and uses a 4 dimensional power profile, rather than the FTP (Functional Threshold Power) that other systems use.

Zwift is one of the oldest virtual cycling system, and is based on a social experience that allows riders to communicate with others nearby, do group rides, workouts and Races.  Zwift was not the first to introduce many of the virtual riding concepts, but the platform gained thousands of users during the covid-19 pandemic, and capitalised on the professional esports arena as well.

Zwift uses a more game-like graphical system, with multiple worlds that users can ride, with a monthly calendar changing the available worlds to ride it.  Zwit also has a comprehensive workout catalog.

Rouvy is a cycling platform that contains many of the features already mentioned, but it uses real world videos, with rider avatars superimposed over the top (Augmented Reality).  This gives you the feeling of actually riding the location you have selected, while seeing your vital statistics in the heads-up display.

BKool is another software company offering many of the features that have been described in Zwift and Rouvy.  

FulGaz is a newer platform that offers real video riding in high definition, and allows riders to upload their own videos to the community.

If you are looking for a riding app that allows you to ride and meet other people, group ride and just enjoy your time on the bike, then Zwift is a good choice to make.  If you are looking for some serious training, with detailed fitness reporting, the Wahoo systems would make a lot of sense.  If you want some serious training, but also want the experience of riding in real locations around the world, the Rouvy is the one to try. 

Each system requires a subscription to ride.
Question: The movie Marquise of Armiani
Answer: The Marquise of Armiani (German: Die Marchesa d'Armiani) is a 1920 German silent film directed by Alfred Halm and starring Pola Negri, Ernst Dernburg, and Elsa Wagner.

The film's sets were designed by the art director Kurt Richter.

Cast
Pola Negri as Marchesa Assunta
Ernst Dernburg as Polizeichef
Elsa Wagner as Assuntas Mutter
Max Pohl
Fritz Schulz
Question: Classify each of the following as either ski gear or swim gear: fins, pull buoy, bib, bindings, gloves, kickboard, neck gator, boots, and parka.
Answer: The items used for skiing include bib, bindings, gloves, neck gator, and boots. The items used for swimming include fins, pull buoy, kickboard, and parka.
Question: From the passage provided, extract the average altitude in miles that the ISS orbits at.
Evidence: The ISS programme evolved from the Space Station Freedom, a 1984 American proposal to construct a permanently crewed Earth-orbiting station, and the contemporaneous Soviet/Russian Mir-2 proposal from 1976 with similar aims. The ISS is the ninth space station to be inhabited by crews, following the Soviet and later Russian Salyut, Almaz, and Mir stations and the American Skylab. It is the largest artificial object in the solar system and the largest satellite in low Earth orbit, regularly visible to the naked eye from Earth's surface. It maintains an orbit with an average altitude of 400 kilometres (250 mi) by means of reboost manoeuvres using the engines of the Zvezda Service Module or visiting spacecraft. The ISS circles the Earth in roughly 93 minutes, completing 15.5 orbits per day.
Answer: The ISS orbits the Earth at an average altitude of 250 miles.
Question: what are non-fungible token
Answer: A non-fungible token (NFT) is a unique digital identifier that cannot be copied, substituted, or subdivided, that is recorded in a blockchain, and that is used to certify ownership and authenticity. The ownership of an NFT is recorded in the blockchain and can be transferred by the owner, allowing NFTs to be sold and traded. NFTs can be created by anybody, and require few or no coding skills to create. NFTs typically contain references to digital files such as photos, videos, and audio. Because NFTs are uniquely identifiable assets, they differ from cryptocurrencies, which are fungible
Question: What is a reporting dashboard?
Answer: A reporting dashboard is a way to show business metrics and business insights based on business data.  It enables high level leadership and management to make and implement decisions that have a positive affect on a Company's revenue.  These benefits include both added revenue and stopping lost revenue.  Data Analyst work with Data Engineers to develop these dashboards and reporting.
Question: Give me a list of things to do when I feel cold
Answer: When you feel cold, you could try putting on a jacket, using a blanket, turning up the heating, making yourself some tea or another hot drink or starting a fire in the fireplace.
Question: What should be your day to day creator device ?
Answer: 1. Iphone pro max
2. DJI OSMO pocket 2

DJI is such an awesome device to shoot as it has it's gimble and easy to operate. The video quality is actually nice
Question: Who was the first coach of the Seattle SuperSonics?
Evidence: On December 20, 1966, Los Angeles businessmen Sam Schulman and Eugene V. Klein, both of whom owned the AFL side San Diego Chargers, and a group of minority partners were awarded an NBA franchise for Seattle, the first major-league sports franchise in the city. Schulman served as the active partner and head of team operations, and named the team SuperSonics as a nod to the city’s ties to the aviation industry, with Boeing's having recently been awarded a contract for an SST project.

Seattle SuperSonics began play on October 13, 1967; they were coached by Al Bianchi, and included All-Star guard Walt Hazzard and All-Rookie Team members Bob Rule and Al Tucker. The expansion team debuted in San Francisco with a 144–116 loss in their first game against Golden State Warriors. On October 21, the Seattle team's first win came against the San Diego Rockets in overtime 117–110, and SuperSonics finished the season with a 23–59 record.
Answer: Al Bianchi was the first coach.
Question: What was the most consistently predictive feature for classifying hateful tweets they found?
Evidence: In this section, we outline the technical details of ParityBot. The system consists of: 1) a Twitter listener that collects and classifies tweets directed at a known list of women candidates, and 2) a responder that sends out positivitweets when hateful tweets are detected.
We collect tweets from Twitter's real-time streaming API. The stream listener uses the open-source Python library Tweepy BIBREF8. The listener analyses tweets in real-time by firing an asynchronous tweet analysis and storage function for each English tweet mentioning one or more candidate usernames of interest. We limit the streaming to English as our text analysis models are trained on English language corpora. We do not track or store retweets to avoid biasing the analysis by counting the same content multiple times. Twitter data is collected and used in accordance with the acceptable terms of use BIBREF9.
The tweet analysis and storage function acts as follows: 1) parsing the tweet information to clean and extract the tweet text, 2) scoring the tweet using multiple text analysis models, and 3) storing the data in a database table. We clean tweet text with a variety of rules to ensure that the tweets are cleaned consistent with the expectations of the analysis models (see Appdx SECREF9).
The text analysis models classify a tweet by using, as features, the outputs from Perspective API from Jigsaw BIBREF10, HateSonar BIBREF11, and VADER sentiment models BIBREF12. Perspective API uses machine learning models to score the perceived impact a tweet might have BIBREF10. The outputs from these models (i.e. 17 from Perspective, 3 from HateSonar, and 4 from VADER) are combined into a single feature vector for each tweet (see Appdx SECREF10). No user features are included in the tweet analysis models. While these features may improve classification accuracy they can also lead to potential bias BIBREF13.
We measure the relative correlation of each feature with the hateful or not hateful labels. We found that Perspective API's TOXICITY probability was the most consistently predictive feature for classifying hateful tweets. Fig. FIGREF5 shows the relative frequencies of hateful and non-hateful tweets over TOXICITY scores. During both elections, we opted to use a single Perspective API feature to trigger sending positivitweets. Using the single TOXICITY feature is almost as predictive as using all features and a more complex model SECREF14. It was also simpler to implement and process tweets at scale. The TOXICITY feature is the only output from the Perspective API with transparent evaluation details summarized in a Model Card BIBREF14, BIBREF15.
We measure the relative correlation of each feature with the hateful or not hateful labels. We found that Perspective API’s TOXICITY probability was the most consistently predictive feature for classifying hateful tweets.
Answer: Perspective API’s TOXICITY probability.
Question: Given this reference text about Jane Goodall, tell me how old she is, and her most notable accomplishments.
Evidence: Dame Jane Morris Goodall DBE (/ˈɡʊdɔːl/; born Valerie Jane Morris-Goodall on 3 April 1934), formerly Baroness Jane van Lawick-Goodall, is an English primatologist and anthropologist. She is considered the world's foremost expert on chimpanzees, after 60 years studying the social and family interactions of wild chimpanzees. Goodall first went to Gombe Stream National Park in Tanzania in 1960, where she witnessed human-like behaviours amongst chimpanzees, including armed conflict.[failed verification]

She is the founder of the Jane Goodall Institute and the Roots & Shoots programme, and she has worked extensively on conservation and animal welfare issues. As of 2022, she is on the board of the Nonhuman Rights Project. In April 2002, she was named a UN Messenger of Peace. Goodall is an honorary member of the World Future Council.
Answer: Jane Goodall, 89, is a world-renown primatologist, famous for her study of chimpanzees. She has dedicated her life to conservation and animal welfare issues, and founded the Jane Goodall Institute and the Roots & Shoots programme. She was named a UN Messenger of Peace in 2002, and is an honorary member of the World Future Council.
Question: Can you write a brief summary for the book "Braving the Wilderness" by Brene Brown?
Answer: Braving the Wilderness is a book about belonging, identity, and leadership. A core idea is that if you are courageous enough to stand alone in the name of the virtues and values you believe in, you can actually create more belonging for others. To brave the wilderness is not to go into the woods armored and ready to fight, but with an open heart and conviction steadying your spine.
Question: What is the performance of the CRF model on the task described?
Evidence: Results on all sets show an important difference between precision and recall, precision being significantly higher than recall. There is also a significant difference between the results obtained on development and test set (F1 = 89.60, F1 = 87.82) and the results on the supplemental test set (F1 = 71.49). The time difference between the supplemental test set and the development and test set (the headlines from the the supplemental test set being from a different time period to the training set) can probably explain these differences.
Results on all sets show an important difference between precision and recall, precision being significantly higher than recall. There is also a significant difference between the results obtained on development and test set (F1 = 89.60, F1 = 87.82) and the results on the supplemental test set (F1 = 71.49). The time difference between the supplemental test set and the development and test set (the headlines from the the supplemental test set being from a different time period to the training set) can probably explain these differences.
Answer: The answers are shown as follows:
* the results obtained on development and test set (F1 = 89.60, F1 = 87.82) and the results on the supplemental test set (F1 = 71.49)
Question: Note down some details about Munda Airport from the given text
Evidence: Munda Airport (IATA: MUA, ICAO: AGGM) is an international airport adjacent to the town of Munda, Western Province in Solomon Islands.

Originally built by Japanese forces during World War II and further developed by the U. S. Naval Construction Battalions 24 and 73 following its capture. After the war, the airfield became a commercial airport for regional flights. In 2015, a New Zealand government aid and development project significantly upgraded the field to an international airport. The upgrade included the removal of a large amount of unexploded ordnance left behind by vacating Japanese and US forces. Although there were no international flights scheduled by 2019, the main economic purpose of the upgrade is to serve as an alternate field for international flights to Honiara International Airport, significantly reducing the fuel load and improving the economics of the flight. For example, prior to the Munda upgrade, a flight from Brisbane to Honiara had to carry sufficient fuel to return to Brisbane because that was the nearest viable alternate.
Answer: 1. Munda Airport in Solomon Islands' Western Province is a global airport with the IATA and ICAO codes MUA and AGGM.
2. Developed further by the U.S. Naval Construction Battalions 24 and 73 after its surrender. It was initially constructed by Japanese forces during World War II.
3. The airfield was converted to a commercial airport for regional flights after the war.
4. The field was considerably improved to become an international airport in 2015 as part of a New Zealand government aid and development project.
5. A significant amount of unexploded ordnance left behind by withdrawing US and Japanese forces was also removed as part of the refurbishment.
6. Despite the fact that no international flights were scheduled beyond 2019, the main economic goal of the improvement is to act as a backup field for international flights to Honiara International Airport, hence lowering fuel consumption and enhancing flight economics.
7. As an example, before the Munda improvement, an aircraft from Brisbane to Honiara required to have enough fuel on board to make a turn around and return to Brisbane, which was the closest practical alternative.