DataHammer/scimrc huggingface dataset:
Question: In the summary below of episode 158 of the series Black Clover, how did the Spade army lose?
Evidence: Ralph continues trying to cross the border. The Spade army begins crossing the border in a mechanized citadel called Candelo powered by siphoning magic from Spade commoners. Asta, who has grown even stronger and can now fly astride his demon slayer sword, flies to Candelo where he is enraged to see Spade Knights siphoning prisoners to death. Asta confronts Candelo’s commander who reveals he is also the vessel for a devil. He poisons Asta with poison magic but Asta easily absorbs the poison into the demon destroyer sword and furiously cuts the citadel in half, defeating the captain in a single blow. The Bulls arrive and Mimosa helps the prisoners recover. Noelle reveals Luck and Leopold were sent to destroy the Spade base near to the prisoner’s village. Realising they get to return home safely the prisoners reveal the Spade kingdom is ruled by the Dark Triad, each possessed by a powerful devil, and their followers the Dark Disciples who draw demonic power from the Triad. The Triad, siblings Dante, Vanica and Zenon Zogratis, consider the loss of Candelo trivial when they are close to their goal for which they only need capture two Arcane Stage mages. Ralph finally crosses the border and collapses by Hage Church where Sister Lily finds him calling out for “Prince Yuno”.
Answer: Asta countered the Spade Kingdom's commandor's poison attack with the demon destroyer sword, then cut the attacking citadel in half, defeating the captain in a single blow.
Question: What is the main contribution of this paper?
Evidence: The goal of the current research was to investigate the automatic detection of cyberbullying-related posts on social media. Given the information overload on the web, manual monitoring for cyberbullying has become unfeasible. Automatic detection of signals of cyberbullying would enhance moderation and allow to respond quickly when necessary.
Cyberbullying research has often focused on detecting cyberbullying `attacks', hence overlooking posts written by victims and bystanders. However, these posts could just as well indicate that cyberbullying is going on. The main contribution of this paper is that it presents a system for detecting signals of cyberbullying on social media, including posts from bullies, victims and bystanders. A manually annotated cyberbullying dataset was created for two languages, which will be made available for public scientific use. Moreover, while a fair amount of research has been done on cyberbullying detection for English, we believe this is one of the first papers that focus on Dutch as well.
A set of binary classification experiments were conducted to explore the feasibility of automatic cyberbullying detection on social media. In addition, we sought to determine which information sources contribute to this task. Two classifiers were trained on English and Dutch ASKfm data and evaluated on a holdout test of the same genre. Our experiments reveal that the current approach is a promising strategy for detecting signals of cyberbullying in social media data automatically. After feature selection and hyperparameter optimisation, the classifiers achieved an F INLINEFORM0 -score of 64.32% and 58.72% for English and Dutch, respectively. The systems hereby significantly outperformed a keyword and an (unoptimised) INLINEFORM1 -gram baseline. Analysis of the results revealed that false positives often include implicit cyberbullying or offenses through irony, the challenge of which will constitute an important area for future work.
Another interesting direction for future work would be the detection of fine-grained cyberbullying-related categories such as threats, curses and expressions of racism and hate. When applied in a cascaded model, the system could find severe cases of cyberbullying with high precision. This would be particularly interesting for monitoring purposes, since it would allow to prioritise signals of bullying that are in urgent need for manual inspection and follow-up.
Finally, future work will focus on the detection of participants (or roles) typically involved in cyberbullying. This would allow to analyse the context of a cyberbullying incident and hence evaluate its severity. When applied as moderation support on online platforms, such a system would allow to provide feedback in function of the recipient (i.e., a bully, victim, or bystander).
Analysis of the combined and single feature type sets reveals that word n-grams, character n-grams, and subjectivity exicons prove to be strong features for this task.
Answer: It presents a system for detecting signals of cyberbullying on social media.
Question: How do I create knit stitches?
Answer: In patterns a knit stitch is often abbreviated as k. A knit stitch is the first basic stitch to learn. Hold the needle with the cast-on stitches in your left hand and the second empty needle in your right hand. The yarn that is coming from your skein or ball of yarn should be held toward the back of your work and this yard strand is considered your working yard. Push the empty needle into the first loop between the first and second stitch from left to right. Grab the working yarn with your right hand and loop it right to left behind the needle that you just pushed into the first stitch. Keeping that loop on the right needle, slide the needle tips toward each other so the stitch on the left needle can fall off of the needle , keeping the loop on the right needle that you created. This is your first knit stitch. Continue the pattern to the end of the row.
Question: What is functional genomics?
Answer: Functional genomics is a field of molecular biology that attempts to describe gene (and protein) functions and interactions. Functional genomics make use of the vast data generated by genomic and transcriptomic projects (such as genome sequencing projects and RNA sequencing). Functional genomics focuses on the dynamic aspects such as gene transcription, translation, regulation of gene expression and protein–protein interactions, as opposed to the static aspects of the genomic information such as DNA sequence or structures. A key characteristic of functional genomics studies is their genome-wide approach to these questions, generally involving high-throughput methods rather than a more traditional "candidate-gene" approach.
Question: Give me the steps to purchase a new pair of shoes.
Answer: First, determine the style of shoes you desire. (E.g. sneakers, sandals, tuxedo shoes)
Second, check your shoe size. 
Third, browse online or in a store and filter your choices according to your budget, style and availability. Try the shoes on before purchase if possible to ensure a good fit and comfort. 
Fourth, select your shoes and proceed to purchase. 
Fifth, purchase the shoes either online or in the store.
Question: Why is Cricket popular in India?
Answer: Cricket is the most popular sport in India. The game was introduced by the Britishers when they were ruling India and since then Indians have started taking to the game. Till the early 1980's the game was mostly followed by the educated and the people living in the large cities like Madras, Bombay, Delhi and Calcutta. India winning the One Day world cup in 1983 made the game very popular and the game started spreading to the entire country. The advent of T20s in the early 2000s further made the game more popular. India won the T20 world cup in 2007 and following that India Premier League  (IPL) was launched. IPL is the most lucrative cricket league in the world and this caught the imagination of the people of India. IPL further contributed to making cricket popular in India.
Question: Given this short paragraph about Belize, how many people live there and what is notable about its population density?
Evidence: Belize, formerly known as British Honduras, is a Caribbean country located on the northeastern coast of Central America. Belize is bordered on the northwest by Mexico, on the east by the Caribbean Sea, and on the south and west by Guatemala. It has an area of 22,970 square kilometres (8,867 sq mi) and a population of 408,487 (2019). Its mainland is about 290 km (180 mi) long and 110 km (68 mi) wide. It has the lowest population and population density in Central America.
Answer: Belize has a population of 408,487 people and has the lowest population density in Central America.
Question: What tasks are they experimenting with in this paper?
Evidence: Slot filling models are a useful method for simple natural language understanding tasks, where information can be extracted from a sentence and used to perform some structured action. For example, dates, departure cities and destinations represent slots to fill in a flight booking task. This information is extracted from natural language queries leveraging typical context associated with each slot type. Researchers have been exploring data-driven approaches to learning models for automatic identification of slot information since the 90's, and significant advances have been made BIBREF0 . Our paper builds on recent work on slot-filling using recurrent neural networks (RNNs) with a focus on the problem of training from minimal annotated data, taking an approach of sharing data from multiple tasks to reduce the amount of data for developing a new task.
As candidate tasks, we consider the actions that a user might perform via apps on their phone. Typically, a separate slot-filling model would be trained for each app. For example, one model understands queries about classified ads for cars BIBREF1 and another model handles queries about the weather BIBREF2 . As the number of apps increases, this approach becomes impractical due to the burden of collecting and labeling the training data for each model. In addition, using independent models for each task has high storage costs for mobile devices.
Crowd-sourced data was collected simulating common use cases for four different apps: United Airlines, Airbnb, Greyhound bus service and OpenTable. The corresponding actions are booking a flight, renting a home, buying bus tickets, and making a reservation at a restaurant. In order to elicit natural language, crowd workers were instructed to simulate a conversation with a friend planning an activity as opposed to giving a command to the computer. Workers were prompted with a slot type/value pair and asked to form a reply to their friend using that information. The instructions were to not include any other potential slots in the sentence but this instruction was not always followed by the workers.
Slot filling models are a useful method for simple natural language understanding tasks, where information can be extracted from a sentence and used to perform some structured action
As candidate tasks, we consider the actions that a user might perform via apps on their phone.
Crowd-sourced data was collected simulating common use cases for four different apps: United Airlines, Airbnb, Greyhound bus service and OpenTable. The corresponding actions are booking a flight, renting a home, buying bus tickets, and making a reservation at a restaurant.
Answer: The answers are shown as follows:
* Slot filling
* we consider the actions that a user might perform via apps on their phone
* The corresponding actions are booking a flight, renting a home, buying bus tickets, and making a reservation at a restaurant
Question: Which of the following technology categorized as Infrastructure as code (IAC) or CICD tool? Terraform, AWS Cloud Formation , Github actions, Azure Devops pipeline
Answer: Terraform and AWS Cloud Formation is categorized as Infrastructure as code (IAC)  and Github actions, Azure Devops pipeline is categorized as CICD tool.
Question: Classify each of the following as either a planet, a star, or a galaxy:  Mercury, Venus, Polaris, Earth, Sun, Mars, Jupiter, Milky Way, Andromeda, Saturn, Virgo A, Maffei 1, Uranus, Neptune, Sirius, Vega.
Answer: Stars: Sun, Polaris, Sirius, Vega

Planets: Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune

Galaxies: Milky Way, Andromeda, Virgo A, Maffei 1
Question: How about human evaluation results on the seq2seq model ?
Evidence: To make a qualitative assessment of the generated sentences, we conducted a human study on a sample of 500 Infoboxes which were sampled from English dataset. The annotators for this task were undergraduate and graduate students. For each of these infoboxes, we generated summaries using the basic seq2seq model and our final model with bifocal attention and gated orthogonalization. For each description and for each model, we asked three annotators to rank the output of the systems based on i) adequacy (i.e. does it capture relevant information from the infobox), (ii) fluency (i.e. grammar) and (iii) relative preference (i.e., which of the two outputs would be preferred). Overall the average fluency/adequacy (on a scale of 5) for basic seq2seq model was INLINEFORM0 and INLINEFORM1 for our model respectively.
The results from Table TABREF17 suggest that in general gated orthogonalization model performs better than the basic seq2seq model. Additionally, annotators were asked to verify if the generated summaries look natural (i.e, as if they were generated by humans). In 423 out of 500 cases, the annotators said “Yes” suggesting that gated orthogonalization model indeed produces good descriptions.
Overall the average fluency/adequacy (on a scale of 5) for basic seq2seq model was 4.04/3.6 and 4.19/3.9 for our model respectively.
Answer: Overall the average fluency/adequacy (on a scale of 5) for basic seq2seq model was 4.04/3.6 and 4.19/3.9 for their model respectively.
Question: How is the value of epsilon been chosen as it significantly affects the performance of Simba-ODS?
Evidence: Figure 7: The figure illustrates two sets of curves. The solid curves represent the median query count required to successfully attack the three architectures as a function of the step length, while the dashed curves show the success rate.
The simple method we propose in Algorithm 1 accepts a single hyperparameter: the step length ϵ(line 14), which indicates the length of the perturbations to be attempted at each iterate along its candidate direction. We chose 2.0 as the default value for our experiments by performing a small grid search over a held-out set (disjoint from the 2000 examples used in the experiments of the main paper). 
Results for the three architectures used as victim (and ResNet-152 as the single surrogate) are shown in Fig. 7. Note that the figure has two y-axes and two sets of curves: solid and dashed curves should be considered looking at each axis on the left and right hand side of the plot, respectively. Clearly, better performance can be obtained by separately tuning this hyperparameter for each architecture.
Instead, we simply chose a fixed value that is reasonable for all models, balancing the query count and success rate. Note also the fact that it is possible to achieve an even lower query count if one is willing to sacrifice about 1% of the success rate.
We observed that this choice of ϵ is also significantly better than the default one made by SimBA_x005f_x0002_ODS (Tashiro et al., 2020) (i.e. 0.2), and have reported results for both in our experiments.
Answer: Regarding the specific case of SimBA-ODS, we have presented two different epsilon tunings: 0.2 and 2.0. The original value of 0.2 is taken from the original paper/code, and is most likely inherited from the original SimBA work. As it is a fairly inappropriate tuning for this problem, we have also chosen the alternative step length of 2.0 based on the search described in Section A.4 and depicted in Fig. 7 of the appendix. We fix the same value of 2.0 for both GFCS and SimBA-ODS, as it has an identical meaning in both contexts, and is a fair like-for-like comparison.
We typically assume that authors have already presented their own papers in the best light possible, with parameters that they themselves optimised for the evaluation, and we always present results using their recommended settings as one of the (possibly multiple) options. However, as noted in Section A.2 of the appendix, we do sometimes take measures to fix competitors’ implementation issues, improving their performance in doing so (as with LeBA’s failure to interpolate between input domains of different sizes). Additionally, as ODS-RGF did not standardise its parameters against P-RGF in its own evaluation (in the manner we have done against SimBA-ODS), we have presented P-RGF using both its own settings and those of ODS-RGF, as discussed in the paper. This is itself a very interesting ablation, given its result.
Question: How to make a traditional cup of English tea?
Answer: Add loose leaf tea to a china teapot and add near boiling water.  Allow the tea to brew for 4-5 minutes.  Following this time pour the tea through a tea strainer to catch the loose leaves and for the brewed tea to flow into a tea cup.  Fill the cup three quarters high and add milk and sugar to your taste.  Enjoy your traditional cup of English tea.
Question: How do you score three points in basketball?
Answer: You score three points by making a basket from beyond the three point line, which is an arc which is drawn around each basket. By sinking the ball from far away from the basket, you are rewarded with an extra point.
Question: Classify each of the following plates as either food or a cocktail: sushi, mojito, quiche, tacos, moscow mule, old fashioned, pizza, pasta, sandwich, pho, margarita, martini, ramen
Answer: From the list that has been provided, the following items to belong to the food category: sushi quiche, tacos, pizza, pasta, sandwich, pho and ramen. The rest of the items can be categorized as cocktails: mojito, moscow mule, old fashioned, margarita and martini.
Question: What are the Spice Girls nicknames?
Answer: The Spice Girls iconic nicknames are Sporty, Ginger, Scary, Baby, and Posh Spice.
Question: Where is Estonia?
Evidence: Estonia, formally the Republic of Estonia, is a country by the Baltic Sea in Northern Europe. It is bordered to the north by the Gulf of Finland across from Finland, to the west by the sea across from Sweden, to the south by Latvia, and to the east by Lake Peipus and Russia. The territory of Estonia consists of the mainland, the larger islands of Saaremaa and Hiiumaa, and over 2,200 other islands and islets on the eastern coast of the Baltic Sea, covering a total area of 45,339 square kilometres (17,505 sq mi). The capital city Tallinn and Tartu are the two largest urban areas of the country. The Estonian language is the autochthonous and the official language of Estonia; it is the first language of the majority of its population, as well as the world's second most spoken Finnic language. The land of what is now modern Estonia has been inhabited by Homo sapiens since at least 9,000 BC. The medieval indigenous population of Estonia was one of the last pagan civilisations in Europe to adopt Christianity following the Papal-sanctioned Livonian Crusade in the 13th century. After centuries of successive rule by the Teutonic Order, Denmark, Sweden, and the Russian Empire, a distinct Estonian national identity began to emerge in the mid-19th century. This culminated in the 24 February 1918 Estonian Declaration of Independence from the then warring Russian and German Empires. Democratic throughout most of the interwar period, Estonia declared neutrality at the outbreak of World War II, but the country was repeatedly contested, invaded and occupied, first by the Soviet Union in 1940, then by Nazi Germany in 1941, and was ultimately reoccupied in 1944 by, and annexed into, the USSR as an administrative subunit (Estonian SSR). Throughout the 1944–1991 Soviet occupation, Estonia's de jure state continuity was preserved by diplomatic representatives and the government-in-exile. Following the bloodless Estonian "Singing Revolution" of 1988–1990, the nation's de facto independence from the Soviet Union was restored on 20 August 1991. Estonia is a developed country, with a high-income advanced economy. The sovereign state of Estonia is a democratic unitary parliamentary republic, administratively subdivided into 15 maakond (counties). With a population of just over 1.3 million, it is one of the least populous members of the European Union, the Eurozone, the OECD, the Schengen Area, and NATO. Estonia is nowadays often considered to be one of the three "Baltic countries" or "Baltic states".
Answer: Estonia is a small European Union nation located in Northern Europe on the Baltic Sea across from Finland and bordered by Lativa to the south and Russia to the east. With a population of 1.3 million it is among the least populated EU countries. The country was occupied for much of the 20th century by Russia as part of the USSR. Today it is known for its high income advanced economy and as a member of the Eurozone, the OECD, the Schengen Area as well as NATO.
Question: International Booker Prize 2021 was given to
Answer: At night all blood is black
Question: what is the Bieh State
Evidence: Bieh State (previously named Eastern Bieh State) was a state in South Sudan that existed between 2 October 2015 and 22 February 2020. It was located in the Greater Upper Nile region and it bordered Fangak to the west, Central Upper Nile to the north, Latjoor and Akobo to the east, and Jonglei to the south.

History
On 2 October 2015, President Salva Kiir issued a decree establishing 28 states in place of the 10 constitutionally established states. The decree established the new states largely along ethnic lines. A number of opposition parties and civil society groups challenged the constitutionality of the decree. Kiir later resolved to take it to parliament for approval as a constitutional amendment. In November the South Sudanese parliament empowered President Kiir to create new states.
Answer: Bieh State (previously named Eastern Bieh State) was in South Sudan between 2 October 2015 and 22 February 2020. It was located in the Greater Upper Nile region, bordering Fangak to the west, Central Upper Nile to the north, Latjoor and Akobo to the east, and Jonglei to the south. On 2 October 2015, President Salva Kiir issued a decree establishing 28 states instead of the ten constitutionally established states. The legislation established the new states primarily along ethnic lines.