Next step is to figure out what to pitch and what to keep from our older collection of CommonCrawl...
> Update regression corpus
> Key: TIKA-2750
> URL: https://issues.apache.org/jira/browse/TIKA-2750 > Project: Tika
> Issue Type: Task
> Reporter: Tim Allison
> Priority: Major
> Attachments: CC-MAIN-2018-39-charset_lang_by_tld.zip, CC-MAIN-2018-39-mimes-charsets-by-tld.zip, CC-MAIN-2018-39-mimes-v-detected.zip
> I think we've had great success with the current data on our regression corpus. I'd like to re-fresh some data from common crawl with three primary goals:
> 1) include more interesting documents (e.g. down sample English UTF-8 text/html)
> 2) include more recent documents (perhaps newer features in PDFs? definitely more ooxml)
> 3) identify and re-fetch truncated documents from the original site -- CommonCrawl truncates docs at 1 MB. I think some truncated documents have been quite useful, similar to fuzzing, for identifying serious problems with some of our parsers. However, it would be useful to have more complete files, esp. for PDFs. In short, we should keep some truncated documents, but I'd also like to get more complete docs.
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