DataHammer/scimrc huggingface dataset:
Question: Extract the gold medals championships and the year won by Ebikewenimo Welson from the text. List them using bullets in the format {Champioship} - {Year} in a comma separated list.
Evidence: Ebikewenimo Welson is a Nigerian freestyle wrestler. He is a four-time medalist at the Commonwealth Games and a two-time medalist at the African Games. 

He won four medals at the Commonwealth Games: in 2010, he won the silver medal in the men's 55 kg event and he repeated this in 2014 with the silver medal in the men's 57 kg event. In 2018, he won one of the bronze medals in the men's 57 kg event. He won the silver medal in the men's 57 kg event at the 2022 Commonwealth Games.

He represented Nigeria at the 2019 African Games held in Rabat, Morocco and he won the silver medal in the men's 57 kg event.

He won the gold medal in the men's 57 kg event at the 2014 African Wrestling Championships and the silver medal in that event at the 2016 African Wrestling Championships. At the 2018 African Wrestling Championships held in Port Harcourt, Nigeria, he also won the silver medal in the men's 57 kg event. He was unable to compete at the 2019 African Wrestling Championships due to injury.

In 2021, he won a gold medal at the Baraza Champion of Champions wrestling tournament held in Yenagoa, Bayelsa State, Nigeria. A few months later, he competed at the 2021 African & Oceania Wrestling Olympic Qualification Tournament hoping to qualify for the 2020 Summer Olympics in Tokyo, Japan.

He won the silver medal in his event at the 2022 African Wrestling Championships held in El Jadida, Morocco. He won the silver medal in the men's 57 kg event at the 2022 Commonwealth Games held in Birmingham, England.
Answer: African Wrestling Championships - 2014, Baraza Champion of Champions - 2021
Question: What metadata is included?
Evidence: FLOAT SELECTED: Table 1: An example of a claim instance. Entities are obtained via entity linking. Article and outlink texts, evidence search snippets and pages are not shown.
FLOAT SELECTED: Table 1: An example of a claim instance. Entities are obtained via entity linking. Article and outlink texts, evidence search snippets and pages are not shown.
Answer: besides claim, label and claim url, it also includes a claim ID, reason, category, speaker, checker, tags, claim entities, article title, publish data and claim date
Question: What should you do when your rock climbing partner calls out "On Belay?"
Answer: 1. Check that their harness is properly buckled at the waist and doubled back.
2. Ensure the leg straps are properly bucked and doubled back. Check that the leg loops are not twisted.
3. Ensure a figure eight knot is tied at the end of the climbing rope, extending through both loops in the harness and has a fisherman's knot as a backup.
4. Check that your own harness is properly buckled around the waist, legs and that leg straps are not twisted.
5. Ensure the climbing rope is in your belay device, that a locking carabiner goes through both the belay device (and rope if an ATC device) and your belay loop on your harness. Ensure the carabiner is locked.
6. Ensure that you and your partner are on the same rope. Your partner should be on the side of the rope closest to the climbing wall.
7. After all safety checks are completed, then call out "On Belay!"
Question: Did the authors try stacking multiple convolutional layers?
Evidence: Recently, convolutional neural networks (CNNs), originally designed for computer vision BIBREF27 , have significantly received research attention in natural language processing BIBREF28 , BIBREF29 . CNN learns non-linear features to capture complex relationships with a remarkably less number of parameters compared to fully connected neural networks. Inspired from the success in computer vision, BIBREF30 proposed ConvE—the first model applying CNN for the KB completion task. In ConvE, only $v_h$ and $v_r$ are reshaped and then concatenated into an input matrix which is fed to the convolution layer. Different filters of the same $3\times 3$ shape are operated over the input matrix to output feature map tensors. These feature map tensors are then vectorized and mapped into a vector via a linear transformation. Then this vector is computed with $v_t$ via a dot product to return a score for (h, r, t). See a formal definition of the ConvE score function in Table 1 . It is worth noting that ConvE focuses on the local relationships among different dimensional entries in each of $v_h$ or $v_r$ , i.e., ConvE does not observe the global relationships among same dimensional entries of an embedding triple ( $v_h$ , $v_r$ , $v_t$ ), so that ConvE ignores the transitional characteristic in transition-based models, which is one of the most useful intuitions for the task.
In ConvE, only $v_h$ and $v_r$ are reshaped and then concatenated into an input matrix which is fed to the convolution layer
Answer: No.
Question: What are some guidelines or rules for allowing a teen to use a mobile phone?
Answer: Advise the teen that the phone use is a privilege
The phone will be monitored
Phone passwords must be disclosed
Permission to install apps must be obtained from parent
Parental controls will be placed on the phone
The phone can only be used by you and not any friends/others
The phone use is restricted to certain times of the day
Question: What are the choices of new tasks for cross-lingual document classification?
Evidence: In this work, we propose a new evaluation framework for highly multilingual document classification which significantly extends the current state. We continue to use Reuters Corpus Volume 2, but based on the above mentioned limitations of the current subset of RCV2, we propose new tasks for cross-lingual document classification. The design choices are as follow:
Uniform class coverage: we sample from RCV2 the same number of examples for each class and language;
Split the data into train, development and test corpus: for each languages, we provide training data of different sizes (1k, 2k, 5k and 10k stories), a development (1k) and a test corpus (4k);
Support more languages: German (DE), English (EN), Spanish (ES), French (FR), Italian (IT), Japanese (JA), Russian (RU) and Chinese (ZH). Reference baseline results are available for all languages.
Most works in the literature use only 1 000 examples to train the document classifier. To invest the impact of more training data, we also provide training corpora of 2 000, 5 000 and 10 000 documents. The development corpus for each language is composed of 1 000 and the test set of 4 000 documents respectively. All have uniform class distributions. An important aspect of this work is to provide a framework to study and evaluate cross-lingual document classification for many language pairs. In that spirit, we will name this corpus “Multilingual Document Classification Corpus”, abbreviated as MLDoc. The full Reuters Corpus Volume 2 has a special license and we can not distribute it ourselves. Instead, we provide tools to extract all the subsets of MLDoc at https://github.com/facebookresearch/MLDoc.
Uniform class coverage: we sample from RCV2 the same number of examples for each class and language; • Split the data into train, development and test corpus: for each languages, we provide training data of different sizes (1k, 2k, 5k and 10k stories), a development (1k) and a test corpus (4k); • Support more languages: German (DE), English (EN), Spanish (ES), French (FR), Italian (IT), Japanese (JA), Russian (RU) and Chinese (ZH). Reference baseline results are available for all languages.
Answer: The tasks uniform class coverage, split the data into train and support more languages.
Question: What is the Couple's Retreat Garden?
Evidence: Couple's Retreat Garden (Chinese: 耦园; pinyin: Ǒu Yuán; Suzhou Wu: Ngeu yoe, Wu Chinese: [ŋøʏ ɦyø]) located in Suzhou city, Jiangsu province, China is a famous classical Chinese garden. It is recognized with other classical Suzhou gardens as a UNESCO World Heritage Site.
Answer: The original garden was built by Lu Jin, prefect of Baoning district, in 1874. It was purchased by Shen Bingcheng, the magistrate of Susong. who rebuilt it in its current form. He also changed the name to the Couple's Garden Retreat. This name refers to the garden's two parts and alludes to a couple. It is recognized with other classical Suzhou gardens as a UNESCO World Heritage Site.

The 0.33 ha garden is divided into an east and west section by the residential core in the middle; an unusual composition for a classical garden. The eccentric design is continued in the form and details of many of the garden buildings, especially the Taoism Tower. The garden is located in the intersection of canals and is surrounded by water on three sides. It is accessible directly from the canal by boat. The West garden is composed of several structures grouped around a small grotto and a Library annex. It is structurally joined to the central residence. East Garden is the main garden of the complex. It consists of a grotto and pond ringed by a covered walkway that connects the structures. A smaller fruit orchard annex is attached.
Question: Think up a couple of ways to use old shirts
Answer: Here are some ways to use old shirts: 
- As cleaning / dusting rags
- To make tie-dye shirts 
- To make headbands / head accessories 
- As garden ties for your plants 
- turning them into quilts 
- turning them into rugs
Question: Give me an example of a screened subnet
Answer: In network security a screened subnet refers to the use of one or more logical screening routers as a firewall to define three separate subnets: an external router (sometimes called an access router), that separates the external network from a perimeter network, and an internal router (sometimes called a choke router) that separates the perimeter network from the internal network. The perimeter network, also called a border network or demilitarized zone (DMZ), is intended for hosting servers (sometimes called bastion hosts) that are accessible from or have access to both the internal and external networks. The purpose of a screened subnet or DMZ is to establish a network with heightened security that is situated between an external and presumed hostile network, such as the Internet or an extranet, and an internal network.

A screened subnet is an essential concept for e-commerce or any entity that has a presence in the World Wide Web or is using electronic payment systems or other network services because of the prevalence of hackers, advanced persistent threats, computer worms, botnets, and other threats to networked information systems.
Question: What is Oktoberfest
Answer: The Oktoberfest is the world's largest Volksfest, featuring a beer festival and a travelling carnival. It is held annually in Munich, Bavaria. It is a 16- to 18-day folk festival running from mid- or late-September to around the first Sunday in October, with more than six million international and national visitors attending the event. Locally, it is called d’Wiesn, after the colloquial name for the fairgrounds, Theresienwiese. The Oktoberfest is an important part of Bavarian culture, having been held since the year 1810. Other cities across the world also hold Oktoberfest celebrations that are modeled after the original Munich event.

During the event, large quantities of Oktoberfest Beer are consumed. For example, during the 16-day festival in 2014, 7.7 million litres (2,000,000 US gal) were served, making it the year where the most beer was consumed at the Oktoberfest. Visitors also enjoy numerous attractions, such as amusement rides, sidestalls, and games. There is also a wide variety of traditional foods available.

The Munich Oktoberfest originally took place in the 16-day period leading up to the first Sunday in October. In 1994, this longstanding schedule was modified in response to German reunification. As a result, if the first Sunday in October falls on the 1st or the 2nd, then the festival would run until 3 October (German Unity Day). Thus, the festival now runs for 17 days when the first Sunday is 2 October and 18 days when it is 1 October. In 2010, the festival lasted until the first Monday in October (4 October), to mark the event's bicentennial.
Question: Things to consider when applying for a new job...
Answer: Consider the following before actually applying for a job; career goals, industries to consider, location, size of companies, qualifications for new roles and why are you actually making a change.  These considerations will help you create a focus on the type of role, company, location, and industry that will be fulfilling to your next role.  Once you've mapped this out, then look at your network of friends, family and acquaintances that you can engage and learn from.  Exploring information from those within the target roles/companies will help you confirm your goals are being met in the new role search.  Spend time doing research about the sector and various companies that interest you.  Understand where those companies and the industry sector is headed in the future? (i.e. is it growing, stable, or shrinking?). Once you feel comfortable and knowledgeable, use networking to engage companies and hiring managers.  (Don't be afraid to send that linkedin message) As a word of warning, do not directly apply to multiple jobs in the same company as it tends to come across as desperate and with a lack of focus on specific career goals.
Question: Sea or Mountain
Answer: I believe Mountain are more attractive but Ocean has it's own beauty and this tropical weather definitely turn you on! SO 50% 50%
Question: What annotations are available in the dataset?
Evidence: We asked for two distinct paraphrases of each sentence because we believe that a good sentence embedding should put paraphrases close together in vector space.
Several modification types were specifically selected to constitute a thorough test of embeddings. In different meaning, the annotators should create a sentence with some other meaning using the same words as the original sentence. Other transformations which should be difficult for embeddings include minimal change, in which the sentence meaning should be significantly changed by using only very small modification, or nonsense, in which words of the source sentence should be shuffled so that it is grammatically correct, but without any sense.
We asked for two distinct paraphrases of each sentence because we believe that a good sentence embedding should put paraphrases close together in vector space.

Several modification types were specifically selected to constitute a thorough test of embeddings. In different meaning, the annotators should create a sentence with some other meaning using the same words as the original sentence. Other transformations which should be difficult for embeddings include minimal change, in which the sentence meaning should be significantly changed by using only very small modification, or nonsense, in which words of the source sentence should be shuffled so that it is grammatically correct, but without any sense.
Answer: For each source sentence, transformation sentences that are transformed according to some criteria (paraphrase, minimal change etc.)
Question: Extract the current cash rate from the following using the format: {x} percent

At its meeting today, the Board decided to increase the cash rate target by 25 basis points to 3.60 per cent. It also increased the interest rate on Exchange Settlement balances by 25 basis points to 3.50 per cent.
Global inflation remains very high. In headline terms it is moderating, although services price inflation remains elevated in many economies. It will be some time before inflation is back to target rates. The outlook for the global economy remains subdued, with below average growth expected this year and next.
The monthly CPI indicator suggests that inflation has peaked in Australia. Goods price inflation is expected to moderate over the months ahead due to both global developments and softer demand in Australia. Services price inflation remains high, with strong demand for some services over the summer. Rents are increasing at the fastest rate in some years, with vacancy rates low in many parts of the country. The central forecast is for inflation to decline this year and next, to be around 3 per cent in mid-2025. Medium-term inflation expectations remain well anchored, and it is important that this remains the case.
Growth in the Australian economy has slowed, with GDP increasing by 0.5 per cent in the December quarter and 2.7 per cent over the year. Growth over the next couple of years is expected to be below trend. Household consumption growth has slowed due to the tighter financial conditions and the outlook for housing construction has softened. In contrast, the outlook for business investment remains positive, with many businesses operating at a very high level of capacity utilisation.
Answer: 3.60 percent
Question: Which of these animals can be pets? Wolf, dog, rabbit, squirrel, cat, lion.
Answer: While most animals can be domesticated, dogs, rabbits and cats are common pets.
Question: Classify each activity as athletic or academic: reading, running, studying, jumping, writing, sprinting
Answer: Reading: Academic
Running: Athletic
Studying: Academic
Jumping: Athletic
Writing: Academic
Sprinting: Athletic
Question: What's so special about the Nissan GT-R?
Answer: The Nissan GT-R, which initially went into production in 2007, is powered by a hand-built engine assembled by one of only 5 specially-trained technicians (known as Takumi Craftsmen) in a cleanroom in Nissan's Yokohama factory. Early models produced roughly 473 horsepower, with incremental improvements yielding upwards of 560hp in current models.
Question: What is used as the basic evaluation metrics to measure the performance of participating systems?
Evidence: Given a sentence and a list of pre-defined schemas which define the relation P and the classes of its corresponding subject S and object O, for example, (S_TYPE: Person, P: wife, O_TYPE: Person), (S_TYPE: Company, P: founder, O_TYPE: Person), a participating information extraction (IE) system is expected to output all correct triples [(S1, P1, O1), (S2, P2, O2) ...] mentioned in the sentence under the constraints of given schemas. A largest schema-based Chinese information extraction dataset is released in this competition. Precision, Recall and F1 score are used as the basic evaluation metrics to measure the performance of participating systems.
From the example shown in Figure FIGREF1, we can notice that one entity can be involved in multiple triplets and entity spans have overlaps, which is the difficulties of this task.
Precision, Recall and F1 score are used as the basic evaluation metrics to measure the performance of participating systems.
Answer: Precision, Recall and F1 score are used as the basic evaluation metrics to measure the performance of participating systems.
Question: Which is a species of fish? Slimehead or Slimeball
Answer: Slimehead
Question: What are a couple of simple tricks to make a simple wood carving look more polished and professional?
Answer: Okay the first obvious point to make here is that the thing that will make any piece of art - including a wood carving - look more professional is the quality of the art!  That means the skill and the artistic quality that goes into it, specifically.  But there are a couple things you can do to dress it up a bit - think about your school days and sliding that english paper into a fresh new folder with a carefully penned title on the front. So back to wood carving.  What can you do?  Let's say you've carved yourself a nice salmon complete with fens and gill lines.  Well here are three ways to dress it up.  First and most obvious  - paint it.  You can go for detail paint or you can use more of a water color approach that will give the wood a colored wash.  The sky is really the limit here.  Second, you mount it on a stand so it floats about the ground.  Drill a small whole in the bottom of the fish, do the same in a wood block you've sanded up and you have s stand.  Third and a bit more out there - consider if there are simple additions you can add.  I made an angler fish and used a drive flower with stem as the attached antenna.  Look around and think about what you can add to your project.  Last and most basic, put a coat of varnish on it to seal it up - and if you choose give it a bit of shine.  All these ideas will give a little bit of extra finish and pop to your project.
Question: Extract the names of the movies Dixie Violet Egerickx starred in and the year those movies were released. List them using bullets in the format {Movie} - {Year}
Evidence: Dixie Violet Egerickx (born 31 October 2005) is an English actress. Egerickx has appeared three times on the London stage, as Iphigenia in Robert Icke's adaptation of Oresteia, Rosalind in Alexi Kay Campbell's Sunset at the Villa Thalia at the National Theatre and as Jenny Caroline 'Qui Qui' Marx in Richard Bean and Clive Coleman's Young Marx at The Bridge Theatre, directed by Sir Nicholas Hytner. She appeared in the 2017 National Geographic series Genius and the 2018 television series Patrick Melrose making her feature film debut in the 2018 film The Little Stranger. Egerickx was named in Screen International's Screen Stars of Tomorrow list in 2019 at the age of 13. She starred as Edie in the 2020 drama film Summerland, and portrayed Mary Lennox in the 2020 film The Secret Garden. In 2019 she filmed HBO's Unaired Game of Thrones Prequel Pilot and most recently has completed filming the role of Jo Ransome in the Apple TV miniseries of The Essex Serpent, directed by Clio Barnard.
Answer: The Little Stranger - 2018
The Secret Garden - 2020
Summerland - 2020
Question: Extract the names of the freedom fighters of Bengal, India from the text. Separate them with a comma.
Evidence: In July 1905, Lord Curzon, the Viceroy and Governor-General (1899–1905), ordered the partition of the province of Bengal. The stated aim was to improve administration. However, this was seen as an attempt to quench nationalistic sentiment through divide and rule. The Bengali Hindu intelligentsia exerted considerable influence on local and national politics. The partition outraged Bengalis. Widespread agitation ensued in the streets and in the press, and the Congress advocated boycotting British products under the banner of swadeshi, or indigenous industries. A growing movement emerged, focussing on indigenous Indian industries, finance, and education, which saw the founding of National Council of Education, the birth of Indian financial institutions and banks, as well as an interest in Indian culture and achievements in science and literature. Hindus showed unity by tying Rakhi on each other's wrists and observing Arandhan (not cooking any food). During this time, Bengali Hindu nationalists like Sri Aurobindo, Bhupendranath Datta, and Bipin Chandra Pal began writing virulent newspaper articles challenging the legitimacy of British rule in India in publications such as Jugantar and Sandhya, and were charged with sedition.

The Partition also precipitated increasing activity from the then still Nascent militant nationalist revolutionary movement, which was particularly gaining strength in Bengal and Maharashtra from the last decade of the 1800s. In Bengal, Anushilan Samiti, led by brothers Aurobindo and Barin Ghosh organised a number of attacks of figureheads of the Raj, culminating in the attempt on the life of a British judge in Muzaffarpur. This precipitated the Alipore bomb case, whilst a number of revolutionaries were killed, or captured and put on trial. Revolutionaries like Khudiram Bose, Prafulla Chaki, Kanailal Dutt who were either killed or hanged became household names.
Answer: Sri Aurobindo, Bhupendranath Datta, Bipin Chandra Pal,  Khudiram Bose, Prafulla Chaki, Kanailal Dutt