DataHammer/scimrc huggingface dataset:
Question: Imagine you are planning a menu for Thanksgiving Dinner. Build out a meal with two main dishes, four side dishes and two desserts. I have an aunt with Celiac disease who is vegetarian, so make sure there are options for vegetarians and people with celiac disease in each course, and explain what my aunt can eat in each part of the meal
Answer: Main dishes: Turkey and Grilled Tofu
Side Dishes: Mashed Potatoes, Bread Rolls, Green Beans, Cranberry Sauce
Dessert: Pumpkin Pie, Vanilla Ice Cream
Your aunt can eat Grilled Tofu for the main, mashed potatoes, green beans and cranberry sauce for her side dishes and vanilla ice cream for dessert. All of these items are both vegetarian and gluten free, which is necessary for people with celiac disease.
Question: Given this paragraph about Dartmouth College traditions, which homecoming-related traditions are illegal?
Evidence: Dartmouth Night starts the college's traditional "Homecoming" weekend with an evening of speeches, a parade, and a bonfire. Traditionally, the freshman class builds the bonfire and then runs around it a set number of times in concordance with their class year; the class of 2009 performed 109 circuits, the class of 1999 performed 99, etc. The College officially discourages a number of student traditions of varying degrees of antiquity. During the circling of the bonfire, upperclassmen encourage the freshmen to "touch the fire", an action legally considered trespassing and prohibited by police officials present. At halftime of the Homecoming football game on the Saturday of the weekend, some upperclassmen encourage freshman to "rush the field", although no upperclassman has seen a significant rush since several injuries sustained during the 1986 rush prompted the school to ban the practice. Among the two or three students who sometimes run across the field, those who are arrested are charged with trespassing (the independent newspaper The Dartmouth Review claimed to set up a fund to automatically pay any fines associated with freshman who rush the field.) However, in 2012 this was proven false when two students rushed the field and were arrested for disorderly conduct. The Dartmouth Review ignored their emails until finally replying and denying that this fund had ever existed. These students then had to pay $300 fines out of pocket. For the 2011 Homecoming game, however, over 40 members of the Class of 2015 rushed the field at homecoming without any action taken by Safety and Security or the Hanover Police Department.
Answer: Touching the bonfire, and rushing the football field during halftime of the homecoming game
Question: By how much do they outperform state-of-the-art methods?
Evidence: As shown in Table TABREF39 , the proposed framework consistently obtains the best scores on all of the four datasets. Compared with the winning systems of SemEval ABSA, our framework achieves 5.0%, 1.6%, 1.4%, 1.3% absolute gains on INLINEFORM0 , INLINEFORM1 , INLINEFORM2 and INLINEFORM3 respectively.
Our framework can outperform RNCRF, a state-of-the-art model based on dependency parsing, on all datasets. We also notice that RNCRF does not perform well on INLINEFORM0 and INLINEFORM1 (3.7% and 3.9% inferior than ours). We find that INLINEFORM2 and INLINEFORM3 contain many informal reviews, thus RNCRF's performance degradation is probably due to the errors from the dependency parser when processing such informal texts.
As shown in Table TABREF39 , the proposed framework consistently obtains the best scores on all of the four datasets. Compared with the winning systems of SemEval ABSA, our framework achieves 5.0%, 1.6%, 1.4%, 1.3% absolute gains on INLINEFORM0 , INLINEFORM1 , INLINEFORM2 and INLINEFORM3 respectively.

Our framework can outperform RNCRF, a state-of-the-art model based on dependency parsing, on all datasets. We also notice that RNCRF does not perform well on INLINEFORM0 and INLINEFORM1 (3.7% and 3.9% inferior than ours). We find that INLINEFORM2 and INLINEFORM3 contain many informal reviews, thus RNCRF's performance degradation is probably due to the errors from the dependency parser when processing such informal texts.
Answer: The answers are shown as follows:
* Compared with the winning systems of SemEval ABSA, our framework achieves 5.0%, 1.6%, 1.4%, 1.3% absolute gains on INLINEFORM0 , INLINEFORM1 , INLINEFORM2 and INLINEFORM3 respectively.
Question: What is the source of their lexicon?
Evidence: Our contribution leverages pre-trained word embeddings (GloVe, trained on wikipedia+gigaword corpus), the DepecheMood affective lexicon, and convolutional neural networks.
Our contribution leverages pre-trained word embeddings (GloVe, trained on wikipedia+gigaword corpus), the DepecheMood affective lexicon, and convolutional neural networks.
Answer: The answers are shown as follows:
* DepecheMood
Question: Classify the movies based on whether they were released in 2001 or 2002.

Albela, Lagaan, Kabhi Khushi Kabhie Gham, Hum Tumhare Hain Sanam, Devdas, Na Tum Jaano Na Hum
Answer: 2001 : Albela, Lagaan, Kabhi Khushi Kabhie Gham
2002 : Hum Tumhare Hain Sanam, Devdas, Na Tum Jaano Na Hum
Question: Why do huskies howl?
Answer: Huskies howl when they are excited or anxious. They howl instead of barking because a howl can travel over longer distances and uses less energy.
Question: What elements are removed from the tweets by filtering?
Evidence: The tweet data was provided by the task organizers. It consists of 106 hashtag files made up of about 21,000 tokens. The hashtag files were further divided into a development set trial_dir of 6 hashtags and a training set of 100 hashtags train_dir. We also obtained 6.2 GB of English news data with about two million tokens from the News Commentary Corpus and the News Crawl Corpus from 2008, 2010 and 2011. Each tweet and each sentence from the news data is found on a single line in their respective files.
During the development of our system we trained our language models solely on the 100 hashtag files from train_dir and then evaluated our performance on the 6 hashtag files found in trial_dir. That data was formatted such that each tweet was found on a single line.
Pre-processing consists of two steps: filtering and tokenization. The filtering step was only for the tweet training corpus. We experimented with various filtering and tokenziation combinations during the development stage to determine the best setting.
Filtering removes the following elements from the tweets: URLs, tokens starting with the “@” symbol (Twitter user names), and tokens starting with the “#” symbol (Hashtags).
Tokenization: Text in all training data was split on white space and punctuation
Filtering removes the following elements from the tweets: URLs, tokens starting with the “@” symbol (Twitter user names), and tokens starting with the “#” symbol (Hashtags).
Answer: URLs, tokens starting with the “@” symbol (Twitter user names), and tokens starting with the “#” symbol (Hashtags).
Question: Which American cultural artifacts are most known worldwide?
Answer: Historically speaking, blue jeans, rock and roll and Coca Cola are considered quintessentially American. These icons became especially significant among youth in eastern Europe during the fall of communism in the 1980s and 1990s. In more modern times, you could argue that the iPhone and tech giants like Google and Facebook are most recognizable. However, in all times, the President of the United States is perhaps the most famous person in the world.
Question: What does Cisco specialize in, what technology markets do they address, and what are their most successful products?
Evidence: Cisco Systems, Inc., commonly known as Cisco, is an American-based multinational digital communications technology conglomerate corporation headquartered in San Jose, California. Cisco develops, manufactures, and sells networking hardware, software, telecommunications equipment and other high-technology services and products. Cisco specializes in specific tech markets, such as the Internet of Things (IoT), domain security, videoconferencing, and energy management with leading products including Webex, OpenDNS, Jabber, Duo Security, and Jasper. Cisco is one of the largest technology companies in the world ranking 74 on the Fortune 100 with over $51 billion in revenue and nearly 80,000 employees.
Answer: Cisco develops, manufactures, and sells networking hardware, software, telecommunications equipment and other high-technology services and products. Cisco specializes in specific tech markets, such as the Internet of Things (IoT), domain security, videoconferencing, and energy management with leading products including Webex, OpenDNS, Jabber, Duo Security, and Jasper.
Question: Classify the following major cities based on the typical weather in December if it is generally cold or generally warm: Chicago, Illinois; New York City, New York; and Miami, Florida
Answer: Chicago, Illinois is cold
New York City, New York is cold
Miami, Florida is warm
Question: How do you keep you dog happy?
Answer: Keeping you dog happy can consist of many things. Firstly, it’s important that they are getting enough nutrients in their food. Alongside diet, frequent exercise will keep them entertained and exposed to the wider world, including socialising with other dogs. Dogs also love it when they get attention. Ensure that you give your dog a lot of love, plenty of cuddles, and of course, the occasional treat.
Question: What is the new initialization method proposed in this paper?
Evidence: Training our model implicitly embeds the vocabulary of words and collection of entities in a common space. However, we found that explicitly initializing these embeddings with vectors pre-trained over a large collection of unlabeled data significantly improved performance (see Section "Effects of initialized embeddings and corrupt-sampling schemes" ). To this end, we implemented an approach based on the Skip-Gram with Negative-Sampling (SGNS) algorithm by mikolov2013distributed that simultaneously trains both word and entity vectors.
However, we found that explicitly initializing these embeddings with vectors pre-trained over a large collection of unlabeled data significantly improved performance (see Section "Effects of initialized embeddings and corrupt-sampling schemes" ).
Answer: They initialize their word and entity embeddings with vectors pre-trained over a large corpus of unlabeled data.
Question: Give me some ideas on what to do this weekend.
Answer: If the weather is good and you like to spend time outdoors, you could go to a beach or on a hike, or your neighborhood park for a picnic. 

If the weather is not great but you still like to go outside, go on a drive. Don't forget to stay hydrated! 

If you like spending time indoors, go to a museum or read a book you have had on your list for a long time but just haven't gotten around to starting it. 

Call your mom!
Question: write a short essay fire fighters working on California wild fires
Answer: The wildfires that rage through California every year are some of the most destructive and dangerous natural disasters that the state faces. The firefighters who work tirelessly to control these fires are some of the bravest and most dedicated professionals in the world.

Firefighters working on California wildfires are faced with enormous challenges. The fires can spread quickly, fueled by strong winds and dry conditions, and can be difficult to control. Firefighters often work long hours in dangerous conditions, battling flames that can reach hundreds of feet high.

Despite the risks, California's firefighters are highly trained and equipped with state-of-the-art technology to help them do their jobs. They use a range of tools, from helicopters and bulldozers to chainsaws and shovels, to contain the fires and prevent them from spreading.

Firefighters working on California wildfires come from all over the state and sometimes from other states as well. They work together in teams, coordinating their efforts to make the most effective use of resources and manpower. They work not just to control the fires, but also to help people who have been affected by them, offering shelter and support to those who have lost their homes or businesses.

The bravery and dedication of California's firefighters cannot be overstated. They put their lives on the line to protect others, working tirelessly to control fires that threaten entire communities. Their work is essential to the safety and well-being of the state's residents, and they are rightly celebrated as heroes for their efforts.
Question: My husband and I are planning a ten-day trip to Italy in September, is this a good time to visit?
Answer: How exciting, September is a wonderful time to visit Italy!  It is the final month of Summer in Italy when many local residents are returning to work or school which means that many of the more popular destinations will be much more accessible than if you were to visit during June, July or August.  You may still find a number of tourists visiting through the first half of the month as the weather is milder than in the height of the summer.  You will find plenty of beautiful sunny days so pack your shades and sunscreen and enjoy the many wonderful sights across the region.  Note that within the northern areas of Italy,  the weather does becomes progressively chillier in the evenings towards the end of the month so it's a good idea to pack a lightweight jacket to be sure you're protected from the elements during your visit.  To you and your husband, buon viaggio!
Question: Annapolis is the capital city of which state?
Evidence: Annapolis (/əˈnæpəlɪs/ (listen) ə-NAP-ə-lis) is the capital city of the U.S. state of Maryland and the county seat of, and only incorporated city in, Anne Arundel County. Situated on the Chesapeake Bay at the mouth of the Severn River, 25 miles (40 km) south of Baltimore and about 30 miles (50 km) east of Washington, D.C., Annapolis forms part of the Baltimore–Washington metropolitan area. The 2020 census recorded its population as 40,812, an increase of 6.3% since 2010.
Answer: Annapolis is the capital city of Maryland.
Question: Do they only test on one dataset?
Evidence: The data set we evaluate on in this work is WMT English-French NewsTest2014, which has 380M words of parallel training data and a 3003 sentence test set. The NewsTest2013 set is used for validation. In order to compare our architecture to past work, we train a word-based system without any data augmentation techniques. The network architecture is very similar to BIBREF4 , and specific details of layer size/depth are provided in subsequent sections. We use an 80k source/target vocab and perform standard unk-replacement BIBREF1 on out-of-vocabulary words. Training is performed using an in-house toolkit.
The data set we evaluate on in this work is WMT English-French NewsTest2014, which has 380M words of parallel training data and a 3003 sentence test set. The NewsTest2013 set is used for validation.
Answer: Yes.
Question: How are the EAU text spans annotated?
Evidence: Tree-based sentiment annotations are sentiment scores assigned to nodes in constituency parse trees BIBREF26 . We represent these scores by a one-hot vector of dimension 5 (5 is very positive, 1 is very negative). We determine the contextual ( INLINEFORM0 ) sentiment by looking at the highest possible node of the context which does not contain the EAU (ADVP in Figure FIGREF26 ). The sentiment for an EAU span ( INLINEFORM1 ) is assigned to the highest possible node covering the EAU span which does not contain the context sub-tree (S in Figure FIGREF26 ). The full-access ( INLINEFORM2 ) score is assigned to the lowest possible node which covers both the EAU span and its surrounding context (S' in Figure FIGREF26 ). Next to the sentiment scores for the selected tree nodes and analogously to the word embeddings, we also calculate the element-wise subtraction of the one-hot sentiment source vectors from the one-hot sentiment target vectors. This results in three additional vectors corresponding to INLINEFORM3 , INLINEFORM4 and INLINEFORM5 difference vectors.
Results
This results in three additional vectors corresponding to INLINEFORM3 , INLINEFORM4 and INLINEFORM5 difference vectors.

Results
Answer: Answer with content missing: (Data and pre-processing section) The data is suited for our experiments because the annotators were explicitly asked to provide annotations on a clausal level.
Question: Why does Facebook change its name to Meta?
Answer: The founder of Facebook, Mark Zuckerberg, wants to show the company’s ambition in the metaverse business.
Question: Write an intro to a startup communications company that no longer exists
Answer: BB Networking, Inc. is one of today's most exciting next-generation communication 
service providers. BBN enables small and medium-sized businesses to utilize the kind of 
communication solutions that were previously only the domain of larger companies. 
BBN provides local, long distance, and wireless voice services, dedicated 
Internet access, and advanced Internet services, including remote access, virtual private 
networks (VPN), web hosting, video, and high-tech applications through its own network. 
BBN provides not only access to sophisticated communications tools but 
simplicity as well. Customers within BBN's network footprint can simply plug into a 
BBN wall jack and immediately have access to a full range of cutting edge 
communication and Internet services as well as innovative E-business solutions. Formed 
with the partnership of America's premier real estate firms and venture capital firm 
Kleiner Perkins Caufield & Byers, BBN is leading a revolution by delivering 
comprehensive communications, Internet and E-business solutions to small and medium 
businesses. BBN currently spans several hundred million square feet and 
nearly twenty-five percent of the commercial office space in the United States across its 
real estate owner partnerships.
Broadband needs to develop ordering processes so that it’s operations will be scalable at a 
rapid pace. 
Idea Integration has assisted startup and growing telecommunications providers in the 
Washington, DC, metropolitan area for the last decade. These services have included a 
host of OSS projects including business requirements development, process development, 
new product development, and system implementation within the CLEC OSS 
environment.
Question: Where did Jackson move to become an actor?
Evidence: In Seattle, Jackson worked as an ad executive at a magazine and did some theater work on the side, earning his Equity card. "As soon as I found out what theater was, what Broadway was, I thought, 'Oh, that's what I'll do with my life.' Just a matter of getting all the pieces in place", he said. Inspired to rethink his career after the September 11 attacks, he moved to New York City to pursue his dream of being an actor: "[Acting] was something I always wanted to do but I was too scared and didn't have the confidence. 9/11 changed everything for all of us. It gave me the urgency."
Answer: New York City
Question: What are the machine learning model lifecycle phases?
Answer: Data access, Data cleansing, feature engineering, model training, model comparison, model registering, model deployment, model monitoring, then retraining if needed be
Question: Do they compare partially complete sequences (created during steps of beam search) to gold/target sequences?
Evidence: However, to reduce the gap between the training procedure and test procedure, we also experimented with soft beam search decoding. This decoding approach closely follows Algorithm SECREF7 , but along with soft back pointers, we also compute hard back pointers at each time step. After computing all the relevant quantities like model score, loss etc., we follow the hard backpointers to obtain the best sequence INLINEFORM0 . This is very different from hard beam decoding because at each time step, the selection decisions are made via our soft continuous relaxation which influences the scores, LSTM hidden states and input embeddings at subsequent time-steps. The hard backpointers are essentially the MAP estimate of the soft backpointers at each step. With small, finite INLINEFORM1 , we observe differences between soft beam search and hard beam search decoding in our experiments.
This decoding approach closely follows Algorithm SECREF7 , but along with soft back pointers, we also compute hard back pointers at each time step. After computing all the relevant quantities like model score, loss etc., we follow the hard backpointers to obtain the best sequence INLINEFORM0 .
Answer: Yes.
Question: What is apartheid, and which country experienced it?
Evidence: Portugal's overseas presence in sub-Saharan Africa (most notably in Angola, Cape Verde, Mozambique, Guinea-Bissau, and São Tomé and Príncipe) lasted from the 16th century to 1975, after the Estado Novo regime was overthrown in a military coup in Lisbon. Rhodesia unilaterally declared independence from the United Kingdom in 1965, under the white minority government of Ian Smith, but was not internationally recognized as an independent state (as Zimbabwe) until 1980, when black nationalists gained power after a bitter guerrilla war. Although South Africa was one of the first African countries to gain independence, the state remained under the control of the country's white minority through a system of racial segregation known as apartheid until 1994.
Answer: Apartheid is a system of racial segregation in South Africa.
Question: Based on the reference provided, what are some tactics firefighters use to stay safe while fighting wildfires?
Evidence: Outcomes from Project Vesta have been integrated into firefighter training in Australia and are beginning to appear in the United States.

Firefighters try to stay out of the dead man zone at all times, working from safe points such as burnt ground or a large area of non-burnable ground, such as a cricket or Australian rules football oval, or a large car park. This is achieved by attacking the fire from the flanks, or the rear, so that burnt ground is always nearby, and the fire is always in front of the firefighters. This avoids two disadvantages of attacking fires at the head of the fire where spot fires may start behind them or changes in wind behavior might accelerate the spread of the fire.

The result of several inquiries into firefighter death in Australian bushfires found that firefighters should stay out of the dead man zone and that they should always keep 250 liters of water in their truck for personal safety. This is now a standard operating procedure in the NSW Rural Fire Service, Country Fire Service and Country Fire Authority in Australia.
Answer: Firefighters keep out of the dead man zone and carry large amounts of water (at least 250 liters) with them.