DataHammer/scimrc huggingface dataset:
Question: How they add human prefference annotation to fine-tuning process?
Evidence: The comparative evaluator is trained with maximum likelihood estimation (MLE) objective, as described in eq DISPLAY_FORM6
where $\mathcal {X}$ is the set of pairwise training examples contructed as described above, $Q(x_1, x_2) \in \lbrace >,<,\approx \rbrace $ is the true label for the pair ($x_1$, $x_2$), $D_\phi ^q(x_1, x_2)$ is the probability of the comparative discriminator's prediction being $q$ ($q \in \lbrace >,<,\approx \rbrace $) for the pair ($x_1$, $x_2$).
The comparative evaluator is trained with maximum likelihood estimation (MLE) objective, as described in eq DISPLAY_FORM6

where $\mathcal {X}$ is the set of pairwise training examples contructed as described above, $Q(x_1, x_2) \in \lbrace >,<,\approx \rbrace $ is the true label for the pair ($x_1$, $x_2$), $D_\phi ^q(x_1, x_2)$ is the probability of the comparative discriminator's prediction being $q$ ($q \in \lbrace >,<,\approx \rbrace $) for the pair ($x_1$, $x_2$).
Answer: The answers are shown as follows:
* human preference annotation is available
* $Q(x_1, x_2) \in \lbrace >,<,\approx \rbrace $ is the true label for the pair
Question: Give me a list of the best movies I've never seen.
Answer: Top 10 movies I've ever seen, in no particular order. The Godfather, Dead Poet's Society, Rear Window, Scarface, Inception, Top Gun, Jaws, Skyfall, The Shawshank Redemption, A Few Good Men
Question: What are the current f1 teams?
Answer: The current 10 Formula 1 teams are Red Bull Racing, Aston Martin Aramco, Mercedes-AMG PETRONAS, Scuderia Ferrari, McLaren, BWT Alpine, MoneyGram Haas, Alfa Romeo, Scuderia AlphaTauri, Williams
Question: Who is Milka Ivić?
Evidence: Milka Ivić (Serbian Cyrillic: Милка Ивић, 11 December 1923 – 7 March 2011) was a Serbian linguist.
Answer: Milka Ivić (Serbian Cyrillic: Милка Ивић, 11 December 1923 – 7 March 2011) was a Serbian linguist.

She was born in Belgrade. She took her doctorate in 1954 with the thesis Značenja srpskohrvatskoga instrumentala i njihov razvoj (The Meanings of Serbo-Croatian Instrumental and Their Development), and became a professor of Serbian and Croatian language at the University of Novi Sad. She was especially known for her book Pravci u lingvistici (Trends [Movements] in Linguistics). She was a member of the Norwegian Academy of Science and Letters from 1976, a corresponding member of the Slovenian Academy of Sciences and Arts from 1983,and a member of the Serbian Academy of Sciences and Arts.
Question: What is the FEVER task?
Evidence: The release of the FEVER fact extraction and verification dataset BIBREF0 provides a large-scale challenge that tests a combination of retrieval and textual entailment capabilities. To verify a claim in the dataset as supported, refuted, or undecided, a system must retrieve relevant articles and sentences from Wikipedia. Then it must decide whether each of those sentences, or some combination of them, entails or refutes the claim, which is an entailment problem. Systems are evaluated on the accuracy of the claim predictions, with credit only given when correct evidence is submitted.
As entailment data, premises in FEVER data differ substantially from those in the image caption data used as the basis for the Stanford Natural Language Inference (SNLI) BIBREF1 dataset. Sentences are longer (31 compared to 14 words on average), vocabulary is more abstract, and the prevalence of named entities and out-of-vocabulary terms is higher.
The retrieval aspect of FEVER is not straightforward either. A claim may have small word overlap with the relevant evidence, especially if the claim is refuted by the evidence.
The release of the FEVER fact extraction and verification dataset BIBREF0 provides a large-scale challenge that tests a combination of retrieval and textual entailment capabilities. To verify a claim in the dataset as supported, refuted, or undecided, a system must retrieve relevant articles and sentences from Wikipedia. Then it must decide whether each of those sentences, or some combination of them, entails or refutes the claim, which is an entailment problem. Systems are evaluated on the accuracy of the claim predictions, with credit only given when correct evidence is submitted.
As entailment data, premises in FEVER data differ substantially from those in the image caption data used as the basis for the Stanford Natural Language Inference (SNLI) BIBREF1 dataset. Sentences are longer (31 compared to 14 words on average), vocabulary is more abstract, and the prevalence of named entities and out-of-vocabulary terms is higher.
The retrieval aspect of FEVER is not straightforward either. A claim may have small word overlap with the relevant evidence, especially if the claim is refuted by the evidence.
Answer: The answers are shown as follows:
* tests a combination of retrieval and textual entailment capabilities. To verify a claim in the dataset as supported, refuted, or undecided, a system must retrieve relevant articles and sentences from Wikipedia. Then it must decide whether each of those sentences, or some combination of them, entails or refutes the claim, which is an entailment problem
Question: Make me a menu for a dinner party which will use up potatoes, cherry tomatoes, salmon and heavy cream I have that is about to expire. The menu should have three courses and a dessert, and shouldn't include eggs due to the current egg shortage. Describe the order in which each food would be served.
Answer: The first course can be appetizers, for which you can make bruschetta to use up the cherry tomatoes. Next for the second course serve a potato and leek soup, which will use up the potatoes and heavy cream. For the main course you will serve salmon with a dill sauce that is also made with heavy cream. For dessert you can serve a sorbet, which is egg free. This is an egg free meal that will use up all your ingredients .
Question: Give me a list of 10 airlines from around the world.
Answer: Delta, British Airways, Swiss Air, Singapore Airlines, Air India, Cathay Pacific, Virgin Atlantic, Easyjet, Southwest, Air France
Question: What are some fun ways to keep a toddler busy?
Answer: 1. If you have a spare box and some colored plastic balls, one idea is to cut holes in the box and color a ring around each hole to match a color of ball. Mount the box and show your little one how to drop each ball into its matching hole. 

2. If you have a spare toothbrush and a yellow dry erase marker, you can work teach some teeth brushing skills in a fun way! Draw a big toothy smile and color in the lips and gums leaving the teeth bright white. Cover it up with clear tape or hard plastic wrap and cut it out.  Color the teeth with the yellow marker and have your little one brush it clean.

3. Teach some valuable life skills and keep your little one entertained by getting a kid-safe knife and having him or her cut fruits.
Question: What is "Sex and the City"?
Evidence: Sex and the City is an American romantic comedy-drama television series created by Darren Star for HBO. An adaptation of Candace Bushnell's newspaper column and 1996 book anthology of the same name, the series premiered in the United States on June 6, 1998, and concluded on February 22, 2004, with 94 episodes broadcast over six seasons. Throughout its development, the series received contributions from various producers, screenwriters, and directors, principally Michael Patrick King.
Answer: Sex and the City is an American romantic comedy-drama television series created by Darren Star for HBO. An adaptation of Candace Bushnell's newspaper column and 1996 book anthology of the same name, the series premiered in the United States on June 6, 1998, and concluded on February 22, 2004, with 94 episodes broadcast over six seasons. Throughout its development, the series received contributions from various producers, screenwriters, and directors, principally Michael Patrick King.

Sex and the City has received both acclaim and criticism for its subjects and characters, and is credited with helping to increase HBO's popularity as a network. The series has won several accolades, including seven of its 54 Emmy Award nominations, eight of its 24 Golden Globe Award nominations, and three of its 11 Screen Actors Guild Award nominations. The series placed fifth on Entertainment Weekly's "New TV Classics" list, and has been listed as one of the best television series of all time by Time in 2007 and TV Guide in 2013. The series still airs in syndication worldwide. It spawned two feature films, Sex and the City (2008) and Sex and the City 2 (2010), and a prequel television series commissioned by The CW, The Carrie Diaries (2013–14).

A sequel series titled And Just Like That... premiered on HBO Max on December 9, 2021. The series features Parker, Davis and Nixon reprising their roles, with Cattrall choosing not to return partly due to her long-standing and ongoing feud with Parker.
Question: What dataset do they use?
Evidence: Word Sense Disambiguation (WSD) is an important problem in Natural Language Processing (NLP), both in its own right and as a stepping stone to other advanced tasks in the NLP pipeline, applications such as machine translation BIBREF0 and question answering BIBREF1 . WSD specifically deals with identifying the correct sense of a word, among a set of given candidate senses for that word, when it is presented in a brief narrative (surrounding text) which is generally referred to as context. Consider the ambiguous word `cold'. In the sentence “He started to give me a cold shoulder after that experiment”, the possible senses for cold can be cold temperature (S1), a cold sensation (S2), common cold (S3), or a negative emotional reaction (S4). Therefore, the ambiguous word cold is specified along with the sense set {S1, S2, S3, S4} and our goal is to identify the correct sense S4 (as the closest meaning) for this specific occurrence of cold after considering - the semantic and the syntactic information of - its context.
In this effort, we develop our supervised WSD model that leverages a Bidirectional Long Short-Term Memory (BLSTM) network. This network works with neural sense vectors (i.e. sense embeddings), which are learned during model training, and employs neural word vectors (i.e. word embeddings), which are learned through an unsupervised deep learning approach called GloVe (Global Vectors for word representation) BIBREF2 for the context words. By evaluating our one-model-fits-all WSD network over the public gold standard dataset of SensEval-3 BIBREF3 , we demonstrate that the accuracy of our model in terms of F-measure is comparable with the state-of-the-art WSD algorithms'.
We outline the organization of the rest of the paper as follows. In Section 2, we briefly explore earlier efforts in WSD and discuss recent approaches that incorporate deep neural networks and word embeddings. Our main model that employs BLSTM with the sense and word embeddings is detailed in Section 3. We then present our experiments and results in Section 4 supported by a discussion on how to avoid some drawbacks of the current model in order to achieve higher accuracies and demand less number of training data which is desirable. Finally, in Section 5, we conclude with some future research directions for the construction of sense embeddings as well as applications of such model in other domains such as biomedicine.
By evaluating our one-model-fits-all WSD network over the public gold standard dataset of SensEval-3 , we demonstrate that the accuracy of our model in terms of F-measure is comparable with the state-of-the-art WSD algorithms'.
Answer: The public gold standard dataset of SensEval-3.
Question: Given the reference text about AC Milan, how many FIFA and UEFA trophies have they won?
Evidence: Associazione Calcio Milan (Italian pronunciation: [assotʃatˈtsjoːne ˈkaltʃo ˈmiːlan]), commonly referred to as AC Milan (Italian pronunciation: [a ˈtʃi ˈmiːlan]) or simply Milan (Italian pronunciation: [miːlan]), is a professional football club in Milan, Italy, founded in 1899. The club has spent its entire history, with the exception of the 1980–81 and 1982–83 seasons, in the top flight of Italian football, known as Serie A since 1929–30.

AC Milan's 18 FIFA and UEFA trophies is the fourth highest out of any club (joint with Boca Juniors[nb 1]), and the most out of any Italian club. Milan has won a joint record three Intercontinental Cups and one FIFA Club World Cup, seven European Cup/Champions League titles (Italian record), the UEFA Super Cup a joint record five times and the Cup Winners' Cup twice. With 19 league titles, Milan is tied as the second most successful club in Serie A with local rivals Inter Milan (also with 19 league titles), behind Juventus (36 league titles). They have also won the Coppa Italia five times, and the Supercoppa Italiana seven.

Milan's home games are played at San Siro, also known as the Stadio Giuseppe Meazza. The stadium, which was built by Milan's second chairman Piero Pirelli in 1926 and is shared since 1947 with city rivals Internazionale, is the largest in Italian football, with a total capacity of 75,923. They have a long-standing rivalry with Inter, with whom they contest the Derby della Madonnina which is one of the most followed derbies in football.

The club is one of the wealthiest in Italian and world football. It was a founding member of the now-defunct G-14 group of Europe's leading football clubs as well as its replacement, the European Club Association.
Answer: AC Milan has won 18 FIFA and UEFA trophies, which is the fourth most out of any club.
Question: What are three common alarm clock sounds?
Answer: People might use a variety of sounds to wake up in the morning. Three common alarm clock sounds are :

1. Bird songs
2. Beeping
3. Radio
Question: What is Asperger syndrome?
Answer: Asperger syndrome (AS), or Asperger's, is a neurodevelopmental condition characterized by significant difficulties in social interaction and nonverbal communication, along with restricted and repetitive patterns of behavior and interests. The syndrome is no longer recognized as a diagnosis, having been merged with other conditions into autism spectrum disorder (ASD). It was considered to differ from other diagnoses that were incorporated into ASD by relatively unimpaired spoken language and intelligence.

The syndrome was named after the Austrian pediatrician Hans Asperger, who, in 1944, described children in his care who struggled to form friendships, did not understand others’ gestures or feelings, engaged in one-sided conversations about their favorite interests, and were clumsy. In 1994, the diagnosis of Asperger's was included in the fourth edition (DSM-IV) of the American Diagnostic and Statistical Manual of Mental Disorders; however, with the publication of DSM-5 in 2013, the syndrome was removed, and the symptoms are now included within autism spectrum disorder along with classic autism and pervasive developmental disorder not otherwise specified (PDD-NOS). It was similarly merged into autism spectrum disorder in the International Classification of Diseases (ICD-11) as of 2021.

The exact cause of Asperger's is poorly understood. While it has high heritability, the underlying genetics have not been determined conclusively. Environmental factors are also believed to play a role. Brain imaging has not identified a common underlying condition. There is no single treatment, and the UK's National Health Service (NHS) guidelines suggest that ’treatment’ of any form of autism should not be a goal since autism is not an 'a disease that can be removed or cured’. According to the Royal College of Psychiatrists, while co-occurring conditions might require treatment, ’management of autism itself is chiefly about providing the education, training and social support/care required to improve the person's ability to function in the everyday world’. Only limited data support the effectiveness of particular interventions for autism. Interventions may include social skills training, cognitive behavioral therapy, physical therapy, speech therapy, parent training, and medications for associated problems, such as mood or anxiety. Autistic characteristics tend to become less evident in adulthood , but social and communication difficulties usually persist.
Question: What's the best binding setup for ski touring?
Answer: It depends on the emphasis of ski touring. If you favor more downhill performance, the CAST bindings is the clear winner as it utilizes the battle tested Look Pivot Bindings for downhill skiing, however, its heavy weight and complex transition actions may deter people. If you favor uphill performance, a pair of tech bindings may be a good choice, as they are light in weight, although they may not be as reliable. A good compromise between uphill and downhill may be Atomic Shift Bindings, they offer close to alpine binding experience for the downhill while being relatively light.
Question: Is a vegan diet health for the average person?
Answer: Vegan diets can be very healthy depending on food choices as compared to the common American diet. It helps to choose organic foods as part of your dietary choices. It is quite easy to include good proteins and low glycemic carbs to power one's activities and brain functions. As long as you try and stay away from sugar-filled choices, most people feel better and loose weight on a well-planned vegan diet. This also keeps people off of high fat and high sugar fast foods, not healthy for anyone.
Question: How does the word segmentation method work?
Evidence: We will elaborate two popular word segmentation methods and our newly proposed segmentation strategies in this section. The two popular segmentation methods are morpheme segmentation BIBREF4 and Byte Pair Encoding (BPE) BIBREF5. After word segmentation, we additionally add an specific symbol behind each separated subword unit, which aims to assist the NMT model to identify the morpheme boundaries and capture the semantic information effectively. The sentence examples with different segmentation strategies for Turkish-English machine translation task are shown in Table 1.
We utilize the Zemberek with a morphological disambiguation tool to segment the Turkish words into morpheme units, and utilize the morphology analysis tool BIBREF12 to segment the Uyghur words into morpheme units. We employ the python toolkits of jieba for Chinese word segmentation. We apply BPE on the target-side words and we set the number of merge operations to 35K for Chinese and 30K for English and we set the maximum sentence length to 150 tokens. The training corpus statistics of Turkish-English and Uyghur-Chinese machine translation tasks are shown in Table 2 and Table 3 respectively.
The two popular segmentation methods are morpheme segmentation BIBREF4 and Byte Pair Encoding (BPE) BIBREF5. After word segmentation, we additionally add an specific symbol behind each separated subword unit, which aims to assist the NMT model to identify the morpheme boundaries and capture the semantic information effectively. 
We utilize the Zemberek with a morphological disambiguation tool to segment the Turkish words into morpheme units, and utilize the morphology analysis tool BIBREF12 to segment the Uyghur words into morpheme units. 
Answer: The answers are shown as follows:
* morpheme segmentation BIBREF4 and Byte Pair Encoding (BPE) BIBREF5
* Zemberek
* BIBREF12
Question: How can the dialogue be described in this film?
Evidence: Wilcox is a Canadian drama film, directed by Denis Côté and released in 2019. Told entirely without dialogue, the film tells the story of Wilcox (Guillaume Tremblay), a mysterious drifter travelling in an apparent search for adventure. Although he does interact with other characters in the film, the dialogue taking place in the story is not heard by the audience.
Answer: There is no dialogue.
Question: Which of the following is useful for transportation: a glass of wine, a lamp, a train, an iced cube tray, a plane, a bicycle, an apple and a scooter.
Answer: The useful objects for transportation in the list are train, plane, bicyle and scooter.
Question: What is buoyant force?
Answer: The upward force exerted on a body, partially or fully immersed in a fluid, is known as buoyant force. This upward force is also called Upthrust. This is related  to the Archimedes principle. If an object is partially or fully submerged in any fluid, the upward force and the fluid displaced is equal to the upward force exerted by the fluid.
Question: Tell a child a story about a dinosaur who plays baseball but has to take a break due to an injury
Answer: There once was a dinosaur named Danny. Danny loved baseball and was the star hitter on his school baseball team, the Diamondbacks. Every time he hit a homer, he imagined he was sending a comet into space. One day Danny stepped up to the plate and the pitcher slipped while pitching the ball... the ball was coming straight at Danny! He tried to move out of the way but when he did, HE tripped and his foot bent sideways. Oh no, it hurt so much! Danny's coach took him to the doctor and the doctor said he would need surgery to fix his foot and that he should try a different hobby than baseball, so his foot would have time to heal. Danny started thinking about how he could keep that feeling of hitting homers while he wasn't able to play baseball. He started thinking about those comets he was hitting into space, and he decided to start reading about astronomy. Astronomy, it turns out, is really interesting! Danny learned about planets and suns and moons. He loved that he could imagine the solar system as one big baseball game. His aunt bought him a telescope so he could see his homers in outer space. Danny thought it was so fun to learn about astronomy, and he decided he would become an astronomer baseball star when he grew up. The end.
Question: what can we do when coffee spill on laptop to make it working
Answer: Firstly we need to immediately switch off the laptop. secondly take a cloth and clean it as much as possible. Also, if possible remove the battery and use hair dryer for drying as much as possible.
Question: Where does College Avenue begin and end in Berkeley, CA?
Answer: College Avenue extends from the southern point of the University of California campus on Bancroft Avenue south until the border of Oakland just past Alcatraz Avenue. College Avenue extends from there to Broadway but that portion is in the city of Oakland, CA.