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README.md

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-license: unknown
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+---
+license: unknown
+language:
+- is
+pretty_name: IC3-v2
+size_categories:
+- 1B<n<10B
+---
+
+# Dataset Card for IC3-v2
+
+<!-- Provide a quick summary of the dataset. -->
+The Icelandic Clean Crawled Corpus v2 (IC3-v2) is a collection of quality-filtered plaintext documents in Icelandic extracted from scraped websites with the `.is` top-level domain (TLD) in Common Crawl dumps between the years 2013 and 2023.
+The corpus contains about 1.3 billion words across almost 4 million documents.
+
+## Dataset Details
+We extract all WARC records matching the `.is` TLD from all available Common Crawl dumps as of the end of year 2023. Using a manually curated blacklist of domain names, we 
+remove records from websites with gambling, pornography, and other illegal or harmful content. We extract the plaintext from the corresponding raw HTML
+code using `trafilatura` (with `jusText` as fallback). During the extraction process, `trafilatura` uses heuristics to provide fields such as `title`, `author` and `tags`, 
+which we include as document-level metadata. We then apply various hand-crafted quality filters, similar to the Gopher rules and FineWeb filters, on the extracted 
+output in an attempt at excluding low-quality documents like SEO product pages, documents with a high number of repeated sentences, etc. On the high-quality documents, 
+we then run FAIR's `fasttext` language identification model and only keep documents with high proportion of Icelandic text. Finally, we run deduplication on the corpus.
+This we do by both running a sliding window of three sentences across each document and removing the span if it was previously seen in any document before, and also by 
+performing document-wise exact string-matching deduplication across the corpus.
+
+Please note that even though the documents have been URL-filtered for harmful content on a best-effort basis, some may still remain.