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# Introduction
Bats and toothed whales have independently evolved a sophisticated biosonar
system, allowing both clades to diversify and occupy many different niches.
Toothed whales constitute a morphologically and ecologically diverse group of
predators, inhabiting every ocean and several large, freshwater river syst... |
# Introduction
*P. marneffei* is considered an indicator pathogen for AIDS. It mainly exits
endemically in area of South East Asia that causes fever, lymphadenopathy,
hepatosplenomegaly and cutaneous lesions. *P. marneffei* has the unique feature
among the species of *Penicillium* of being thermally dimorphic for diag... |
# Introduction
## Background
The SARS-CoV-2 (COVID-19) pandemic is posing major challenges for health care
systems across the world. Throughout the pandemic, the primary goal has been to
protect the population from infection and provide medical care for infected
persons. In the first peak of infections in spring 2020... |
# Introduction
Diabetes mellitus is one of the most common chronic diseases worldwide, with an
increasing incidence in most countries. There were more than 382 million
people with diabetes mellitus in 2013 and this is forecasted to reach 592
million people by 2035.\[–\] Most of the deaths among patients with diabetes ... |
# Introduction
Tuberculosis (TB) remains a global threat with an estimated 1.8 million deaths
in 2015; approximately 14 percent attributed to multi-drug resistant (MDR-TB)
and rifampicin resistant (RR-TB) tuberculosis. Advances in case detection and
treatment regimens have dramatically reduced incidence and mortality;... |
# Introduction
Ferulic acid (FA) is a phenolic substance and an important active ingredient
that is common in various plants. It occurs at high concentrations in food
ingredients such as coffee, grain hulls, vanilla beans, wheat bran, and rice
bran. The FA molecule is a 4-hydroxy-3-methoxy cinnamic acid (C<sub>10</sub... |
# Introduction
Computational fluid dynamic (CFD) simulations of biological valves have steadily
improved over the years; however, procedures accounting for the formation of
actual solid aggregates, such as calcifications or clots, have not been
implemented yet. At the same time, researchers have also devised mathemati... |
"# Introduction\n\nAccording to the World Health Organization (WHO), more than five million deaths\n(...TRUNCATED) |
"# Introduction\n\nReef-forming oysters are habitat-structuring species in coastal and estuarine\nar(...TRUNCATED) |
"# Introduction\n\nMalignant melanoma is an aggressive and chemoresistant type of skin cancer that\n(...TRUNCATED) |
Dataset Card for Only Clean Data (OCD)
If you are training base language models and want the cleanest sources available, OCD was built just for you.
Dataset Details
Dataset Description
It is without question that the quality of a language model rests on the quality of its training data. OCD is a meticulously curated and cleaned corpus of text documents, ensuring the highest quality text from a variety of sources. Part of this process includes manually inspecting (and sometimes manually fixing) thousands of documents. Whenever problem documents are found (from e.g. conversion errors, or spam that got through), they are fixed for the next release.
Dataset Sources
OCD currently consists of 3 subsets:
- Web data originating from C4. This subset was heavily filtered to remove a lot of spam, templates, and other low quality data. It consists of approximately 18M documents, which is roughly 5% of the original 365M documents.
- Peer reviewed research originating from PLOS. Documents were normalized to markdown from the original JATS XML, and were processed to remove captions and references to missing figures. A large number of these documents were manually inspected to remove irrelevant files (e.g. journal announcements, letters to the editor, and short comments).
- Non-fiction books from CCOpenBooks. This will be expanded soon, as the original collection was quite small. However, it contains only high quality text books, all of which have non-restrictive cc-by compatible licenses.
This dataset is actively in development, and will continue to be extended to include books, research, and other documents from various domains, code, documentation, and more.
License
OCD is released under the cc-by-4.0 license. Note that this is directly compatible with PLOS and CCOpenBooks (cc-by-4.0).
Documents originating from C4 were released under the ODC-BY license as noted here. As this subset was derived from an enormous Common Crawl corpus, there is a possibility that it contains documents not compatible with this license. However, the heavy filtering applied as part of the OCD project greatly reduces this possibility. Additionally, any opt-out requests from content authors will be respected.
Uses
The primary intended use of this dataset is for training base language models.
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