DataHammer/scimrc huggingface dataset:
Question: Extract from the paragraph the winner of the 2022 World Snooker Championship.
Evidence: The 2022 World Snooker Championship (officially the 2022 Betfred World Snooker Championship) was a professional snooker tournament that took place from 16 April to 2 May 2022 at the Crucible Theatre in Sheffield, England, the 46th consecutive year the World Snooker Championship was held at the venue. The 16th and final ranking event of the 2021–22 snooker season, the tournament was organised by the World Snooker Tour and sponsored by sports betting company Betfred. It was broadcast in the United Kingdom by the BBC, in Europe (including the UK) by Eurosport, and elsewhere in the world by Matchroom Sport and other broadcasters. The total prize fund was £2,395,000, of which the winner received £500,000.

Qualifying rounds for the tournament took place from 4 to 13 April 2022 at the English Institute of Sport, featuring 128 professional and invited amateur players. The main stage of the tournament featured 32 players: the top 16 players from the snooker world rankings and another 16 players from the qualifying rounds. Ashley Hugill, Jackson Page, and Hossein Vafaei were debutants at the Crucible, Vafaei being the first Iranian player to reach the main stage. Mark Selby was the defending champion, having won the 2021 final 18–15 against Shaun Murphy. He lost 10–13 to Yan Bingtao in a second-round match that produced the longest frame ever played at the Crucible, lasting 85 minutes.

Ronnie O'Sullivan equalled Steve Davis's record of 30 Crucible appearances. He reached a record 20th quarter-final and a record 13th semi-final before defeating Judd Trump 18–13 in the final to equal Stephen Hendry's record of seven world titles. It was O'Sullivan's 39th ranking title and 21st Triple Crown title. Aged 46 years and 148 days, he became the oldest world champion in the sport's history, surpassing Ray Reardon, who was aged 45 years and 203 days when he won his last world title in 1978. O'Sullivan also broke Hendry's record of 70 wins at the Crucible, setting a new record of 74.

Neil Robertson made a maximum break in his second-round match against Jack Lisowski, the fifth of his career and the 12th time a 147 had been achieved at the Crucible. Graeme Dott also made a maximum break in his third-round qualifying match against Pang Junxu, the second of his career and the fifth time that a maximum had been made in the World Championship qualifiers. The main stage produced a record 109 century breaks, surpassing the 108 centuries made the preceding year. Mark Williams made 16 centuries during the event, equalling the record set by Hendry in 2002.
Answer: Ronnie O'Sullivan
Question: Are the subwords between source and target shared in the authors' current approach?
Evidence: We build our bilingual LMs, named RAMEN, starting from BERT$_{\textsc {base}}$, BERT$_{\textsc {large}}$, RoBERTa$_{\textsc {base}}$, and RoBERTa$_{\textsc {large}}$ pre-trained models. Using BERT$_{\textsc {base}}$ allows us to compare the results with mBERT model. Using BERT$_{\textsc {large}}$ and RoBERTa allows us to investigate whether the performance of the target LM correlates with the performance of the source LM. We evaluate our models on two cross-lingual zero-shot tasks: (1) Cross-lingual Natural Language Inference (XNLI) and (2) dependency parsing.
In our current approach, subwords between source and target are not shared. A subword that is in both English and foreign vocabulary has two different embeddings.
Answer: No.
Question: Give me a list of best Studio Ghibli Films
Answer: 1. My Neighbour Totoro
2. Princess Mononoke
3. Howl's Moving Castle
4. Spirited Away
5. Kiki's Delivery Service
6. The tale of Princess Kaguya
7. Grave of the Fireflies
8. The Red Turtle
9. Ocean Waves
10. From Up on Poppy Hill
Question: Classify each of the following as a French or Italian company: Campari, Dior, Hermes, Ferrari, Prada
Answer: Campari: Italian
Dior: French
Hermes: French
Ferrari: Italian
Prada: Italian
Question: Which of the following venomous snakes lay eggs: copperhead, water moccasin, rattlesnake, coral snake.
Answer: The coral snake is the only venomous snake listed that is an egg-layer, or oviparous. Copperheads, water moccasin and rattlesnakes are ovoviviparous, and bear live young.
Question: Which countries are referred to as tiger economy?
Evidence: A tiger economy is the economy of a country which undergoes rapid economic growth, usually accompanied by an increase in the standard of living. The term was originally used for the Four Asian Tigers (South Korea, Taiwan, Hong Kong, and Singapore) as tigers are important in Asian symbolism, which also inspired the Tiger Cub Economies (Indonesia, Malaysia, Thailand, Vietnam and the Philippines). The Asian Tigers also inspired other economies later on; the Anatolian Tigers (certain cities in Turkey) in the 1980s, the Gulf Tiger (Dubai) in the 1990s, the Celtic Tiger (Republic of Ireland) in 1995–2000, the Baltic tigers (Baltic states) in 2000–2007, and the Tatra Tiger (Slovakia) in 2002–2007.
Answer: The term "Tiger Economy" originally used for the South Korea, Taiwan, Hong Kong and Singapore. It also inspired "Tiger Cub Economies" - Indonesia, Malaysia, Thailand, Vietnam and the Philippines.
Question: Which of these are cities and which are countries: Paris, Argentina, Mountain View, Singapore, America, Cape Town
Answer: Paris, Mountain View and Cape Town are cities. Argentina and America are countries. Singapore is the name of both a city and a country.
Question: What is a graph in graph theory?
Evidence: In discrete mathematics, and more specifically in graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense "related". The objects correspond to mathematical abstractions called vertices (also called nodes or points) and each of the related pairs of vertices is called an edge (also called link or line). Typically, a graph is depicted in diagrammatic form as a set of dots or circles for the vertices, joined by lines or curves for the edges. Graphs are one of the objects of study in discrete mathematics.
Answer: In graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense "related".
Question: what is machine learning meaning?
Answer: Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to imitate how humans learn, gradually improving its accuracy.
Question: Which of the following are countries? Pakistan, Azerbaijan, Hodor, Chicago, St. Louis, Michael, Jordan, Minecraft, Ninja, Teletubbies, Fortnite, Lesotho, Greece
Answer: Pakistan, Azerbaijan, Jordan, Lesotho, and Greece
Question: What makes sourdough special?
Answer: Sourdough is made using sourdough starter, which is a fermented flour and water mixture that contains natural yeast. This gives the bread a distinct "sour" flavor which is different than breads made with commercial yeast.
Question: List some capital cities that begin with the letter S.
Answer: Capital cities starting with the letter "S" include;  San Marino, Santiago, Seoul,  Singapore, Stockholm and Sydney.
Question: How do you ride a bike?
Answer: You can learn to ride a bike by starting with training wheels.  This will help you to develop your balance as muscle memory in body.  After you ride for a couple weeks with training wheels you can remove the training wheels and use your feet to help you balance.  With enough speed you will want to put your feet on the pedals and get enough velocity to keep your balance going in a straight line.  Practice this for a couple days, and then you can practice turning and use your feet if you lose your balance.  Do this for a couple more days and then you will be off to the races riding your own bike with perfect balance.
Question: Are these surfing terms or not? Nutted, pitted, drop in, shwabang, glass, poot, crest
Answer: The surfing terms are the following: pitted, drop in, glass, crest
Question: One of the best place to visit in Mexico
Answer: Cancun : You can visit Cancun for the tropical weather. You can visit Cancun all over the year. You can avoid September to October because of little bit of rain and cloudy weather. 
Cancun has some splendid Resorts with All inclusive package . The beach is clean. 
You can stay either in Cancun or Playa Del Carman or The Cancun . Both has similar resorts mostly. You can visit Tulum if you like calm and nature associated with Beach.
Question: What the system designs introduced?
Evidence: Figure FIGREF3 provides an overview of Gunrock's architecture. We extend the Amazon Conversational Bot Toolkit (CoBot) BIBREF6 which is a flexible event-driven framework. CoBot provides ASR results and natural language processing pipelines through the Alexa Skills Kit (ASK) BIBREF7. Gunrock corrects ASR according to the context (asr) and creates a natural language understanding (NLU) (nlu) module where multiple components analyze the user utterances. A dialog manager (DM) (dm) uses features from NLU to select topic dialog modules and defines an individual dialog flow. Each dialog module leverages several knowledge bases (knowledge). Then a natural language generation (NLG) (nlg) module generates a corresponding response. Finally, we markup the synthesized responses and return to the users through text to speech (TTS) (tts). While we provide an overview of the system in the following sections, for detailed system implementation details, please see the technical report BIBREF1.
We extend the Amazon Conversational Bot Toolkit (CoBot) BIBREF6 which is a flexible event-driven framework. CoBot provides ASR results and natural language processing pipelines through the Alexa Skills Kit (ASK) BIBREF7. Gunrock corrects ASR according to the context (asr) and creates a natural language understanding (NLU) (nlu) module where multiple components analyze the user utterances. A dialog manager (DM) (dm) uses features from NLU to select topic dialog modules and defines an individual dialog flow. Each dialog module leverages several knowledge bases (knowledge). Then a natural language generation (NLG) (nlg) module generates a corresponding response. Finally, we markup the synthesized responses and return to the users through text to speech (TTS) (tts).
Answer: The answers are shown as follows:
* Amazon Conversational Bot Toolkit
* natural language understanding (NLU) (nlu) module
* dialog manager
* knowledge bases
* natural language generation (NLG) (nlg) module
* text to speech (TTS) (tts)
Question: What states do not have a state gambling lottery?
Answer: Alabama, Alaska, Hawaii, Nevada, and Utah.
Question: Why did the Soviet Union collapse?
Answer: There are a multitude of reasons for the collapse of the Soviet Union.  But historians have generally narrowed it down to the following major causes:

Rise of ethnic nationalism in Soviet Republics:  After decades of suppressing national identities, ethnic groups began asserting their nationality and demanded greater autonomy and political power.  This resulted in numerous riots and protests throughout the Soviet Union with demands for independence and national self-determination. 

Economic stagnation and fall of oil prices:  The centrally planned economic model resulted in massive shortages of staple consumer products.  Shops were continually empty and Soviet citizens needed to wait in long lines to purchase basic goods.  After years of economic deprivation, Soviet citizens were deeply angry at their government. In addition, oil prices declined significantly in the late 1980s, which provided the Soviet government a key source of hard currency.  This it made it difficult for the Soviet government to sustain high levels of military spending and keep the economy functioning. 

Perestroika and Glasnost: Gorbachev's reforms of the 1980s were intended to reinvigorate the Soviet economy.  However, they unintentionally triggered an opening of debate throughout the country.  The increased freedoms allowed people to more openly criticize the government and demand changes.  

Afghanistan and Chernobyl: In the late 1980s, two events symbolized the incompetence of the Soviet government.  The failure of the Afghanistan war resulted in a loss of confidence in the Soviet military. The Chernobyl disaster revealed the incompetence and duplicity of the Soviet regime, resulting in a further erosion of trust.
Question: Tell me which of these are shades of Blue that BWM paints their cars: Miami Blue, Laguna Seca Blue, Le Mans Blue, Interlagos Blue, Heritage Blue, Mexico Blue, Yas Marina Blue, Gulf Blue, Long Beach Blue.
Answer: Laguna Seca Blue, Le Mans Blue, Interlagos Blue, Yas Marina Blue, Long Beach Blue
Question: What was the most expensive car ever sold at auction
Evidence: On May 5, 2022, in a secret auction at the brand's museum in Germany, Mercedes-Benz sold one of just two 1955 300 SLR Uhlenhaut coupes from its extensive collection of historical automobiles—which dates back to the earliest days of the car in the late 19th century. The sale, to a private buyer, was for 135 million euros ($142,769,250). It handily outstripped the previous record-setting $48.4-million sale of a 1962 Ferrari 250 GTO at a 2018 auction to become the most expensive car ever sold at auction. Both of these high-dollar sales were brokered by RM Sotheby's.
Answer: A 1955 Mercedes-Benz 300 SLR was reportedly sold in a secret auction for 135 Million Euros
Question: What do to if your cat starts drooling excessively?
Answer: Although excessively drooling could be a sign of your cat eating something distasteful, it could also be an underlying serious disease like teeth ache or poisoning, so be sure to seek out veterinary care as soon as possible.
Question: Name the Chinese satellite launched for Mars which failed?
Answer: Yinghuo-1 was the Chinese satellite that failed the launch for Mars
Question: Without quoting directly from the text give me a summary of the different types of motorcycles.
Evidence: The six main types of motorcycles are generally recognized as standard, cruiser, touring, sports, off-road, and dual-purpose. Sport touring is sometimes recognized as a seventh category or integrated with the touring category.

Although there are many names and systems for classifying types of motorcycles based on their characteristics and usage, there are generally six categories recognized by most motorcycle manufacturers and organizations.

Strong distinctions are usually made between the six main types of motorcycles and other motorcycles. Scooter, moped, underbone, miniature, pocket, electric, and three-wheeled motorcycles are generally excluded from the main categories but other classification schemes may include these as types of motorcycles.

There is no universal system for classifying all types of motorcycles. There are strict classification systems enforced by competitive motorcycle sport sanctioning bodies, or legal definitions of a motorcycle established by certain legal jurisdictions for motorcycle registration, emissions, road traffic safety rules or motorcyclist licensing. There are also informal classifications or nicknames used by manufacturers, riders, and the motorcycling media. Some experts do not recognize sub-types, like naked bike, that "purport to be classified" outside the six usual classes, because they fit within one of the main types and are recognizable only by cosmetic changes.

Street motorcycles are motorcycles designed for being ridden on paved roads. They have smooth tires with tread patterns and engines generally in the 125 cc (7.6 cu in) and over range. Typically, street motorcycles are capable of speeds up to 100 mph (160 km/h), and many of speeds in excess of 125 mph (201 km/h). Street motorcycles powered by electric motors are becoming more common, with firms like Harley-Davidson entering the market.
Answer: Motorcycles are 2 wheeled vehicles powered by an internal combustion engine generally made for a single rider.  Although there are many styles of motorcycles, they are loosely organized into 6 main categories.  These categories most closely align to the intended use of the vehicle.  There is your standard motorcycle, your more relaxed cruising motorcycle, the larger capacity and longer haul touring cycle, a racing more sportier sports cycle and then you have a off-road motorcycle often known as a dirtbike and lastly a dual-sport which is a motorcycle that can go both on and offroad.
Question: What system is used as baseline?
Evidence: Morphological inflection has been thoroughly studied in monolingual high resource settings, especially through the recent SIGMORPHON challenges BIBREF8, BIBREF9, BIBREF10, with the latest iteration focusing more on low-resource settings, utilizing cross-lingual transfer BIBREF11. We use the guidelines of the state-of-the-art approach of BIBREF12 that achieved the highest inflection accuracy in the latest SIGMORPHON 2019 morphological inflection shared task. Our models are implemented in DyNet BIBREF13.
Morphological analysis is the task of creating a morphosyntactic description for a given word. It can be framed in a context-agnostic manner (as in our case) or within a given context, as for instance for the SIGMORPHON 2019 second shared task BIBREF11. We trained an encoder-decoder model that receives the form as character-level input, encodes it with a BiLSTM encoder, and then an attention enhanced decoder BIBREF14 outputs the corresponding sequence of morphological tags, implemented in DyNet. The baseline results are shown in Table . The exact-match accuracy of 67% is lower than the average accuracy that context-aware systems can achieve, and it highlights the challenge that the complexity of the tonal system of SJQ Chatino can pose.
Lemmatization is the task of retrieving the underlying lemma from which an inflected form was derived. Although in some languages the lemma is distinct from all forms, in SJQ Chatino the lemma is defined as the completive third-person singular form. As a computational task, lemmatization entails producing the lemma given an inflected form (and possibly, given a set of morphological tags describing the input form). Popular approaches tackle it as a character-level edit sequence generation task BIBREF15, or as a character-level sequence-to-sequence task BIBREF16. For our baseline lemmatization systems we follow the latter approach. We trained a character level encoder-decoder model, similar to the above-mentioned inflection system, implemented in DyNet.
We use the guidelines of the state-of-the-art approach of BIBREF12 that achieved the highest inflection accuracy in the latest SIGMORPHON 2019 morphological inflection shared task. Our models are implemented in DyNet BIBREF13.
We trained an encoder-decoder model that receives the form as character-level input, encodes it with a BiLSTM encoder, and then an attention enhanced decoder BIBREF14 outputs the corresponding sequence of morphological tags, implemented in DyNet.
We trained a character level encoder-decoder model, similar to the above-mentioned inflection system, implemented in DyNet.
Answer: The answers are shown as follows:
* DyNet
Question: What might be the reasons for annotation errors?
Evidence: The task assigned to annotators was to read sentences one at a time and label them with with binary labels indicating the polarity (i.e., positive/negative). Note that, the participants were not instructed to annotate whether a sentence is sarcastic or not., to rule out the Priming Effect (i.e., if sarcasm is expected beforehand, processing incongruity becomes relatively easier BIBREF12 ). The setup ensures its “ecological validity” in two ways: (1) Readers are not given any clue that they have to treat sarcasm with special attention. This is done by setting the task to polarity annotation (instead of sarcasm detection). (2) Sarcastic sentences are mixed with non sarcastic text, which does not give prior knowledge about whether the forthcoming text will be sarcastic or not.
The eye-tracking experiment is conducted by following the standard norms in eye-movement research BIBREF13 . At a time, one sentence is displayed to the reader along with the “aspect” with respect to which the annotation has to be provided. While reading, an SR-Research Eyelink-1000 eye-tracker (monocular remote mode, sampling rate 500Hz) records several eye-movement parameters like fixations (a long stay of gaze) and saccade (quick jumping of gaze between two positions of rest) and pupil size.
The accuracy of polarity annotation varies between 72%-91% for sarcastic texts and 75%-91% for non-sarcastic text, showing the inherent difficulty of sentiment annotation, when sarcasm is present in the text under consideration. Annotation errors may be attributed to: (a) lack of patience/attention while reading, (b) issues related to text comprehension, and (c) confusion/indecisiveness caused due to lack of context.
For our analysis, we do not discard the incorrect annotations present in the database. Since our system eventually aims to involve online readers for sarcasm detection, it will be hard to segregate readers who misinterpret the text. We make a rational assumption that, for a particular text, most of the readers, from a fairly large population, will be able to identify sarcasm. Under this assumption, the eye-movement parameters, averaged across all readers in our setting, may not be significantly distorted by a few readers who would have failed to identify sarcasm. This assumption is applicable for both regular and multi-instance based classifiers explained in section SECREF6 .
Annotation errors may be attributed to: (a) lack of patience/attention while reading, (b) issues related to text comprehension, and (c) confusion indecisiveness caused due to lack of context.
Answer: (a) lack of patience/attention while reading, (b) issues related to text comprehension, and (c) confusion indecisiveness caused due to lack of context.
Question: What are the primary causes of obesity?
Answer: The primary causes are eating significantly more calories than you burn daily, lack of exercise/movement, lack of sleep and increased stress, your genetic makeup.
Question: What turn out to be more important high volume or high quality data?
Evidence: The Spearman $\rho $ correlation for fastText models on the curated small dataset (clean), C1, improves the baselines by a large margin ($\rho =0.354$ for Twi and 0.322 for Yorùbá) even with a small dataset. The improvement could be justified just by the larger vocabulary in Twi, but in the case of Yorùbá the enhancement is there with almost half of the vocabulary size. We found out that adding some noisy texts (C2 dataset) slightly improves the correlation for Twi language but not for the Yorùbá language. The Twi language benefits from Wikipedia articles because its inclusion doubles the vocabulary and reduces the bias of the model towards religious texts. However, for Yorùbá, noisy texts often ignore diacritics or tonal marks which increases the vocabulary size at the cost of an increment in the ambiguity too. As a result, the correlation is slightly hurt. One would expect that training with more data would improve the quality of the embeddings, but we found out with the results obtained with the C3 dataset, that only high-quality data helps. The addition of JW300 boosts the vocabulary in both cases, but whereas for Twi the corpus mixes dialects and is noisy, for Yorùbá it is very clean and with full diacritics. Consequently, the best embeddings for Yorùbá are obtained when training with the C3 dataset, whereas for Twi, C2 is the best option. In both cases, the curated embeddings improve the correlation with human judgements on the similarity task a $\Delta \rho =+0.25$ or, equivalently, by an increment on $\rho $ of 170% (Twi) and 180% (Yorùbá).
One would expect that training with more data would improve the quality of the embeddings, but we found out with the results obtained with the C3 dataset, that only high-quality data helps.
Answer: The answers are shown as follows:
* high-quality