Crawling curated list of sites: Data Sourcing Candidate seeds spreadsheet

[yjernite]

We want to be able to obtain all web and media content associated with a specific list pre-identified domain names.

This issue tracks potential crawling seeds identified BigScience Data Sourcing Participants, primarily in Spanish and SEA English (and three Chinese).

The steps to follow are:

1. filter the CommonCrawl (or another archive) for all WARC records with one of the given domain names

• filtering all dumps form the last two years

2. obtain overall metrics and metrics per domain name

• page counts, content languages, content types, etc.

3. upload all of the relevant WARC records for each domain name to a HF dataset in the BigScience Catalogue Data Organization

• minimal filtering of WARC records to include human-readable pages AND pages that reference links to objects we want to download (e.g. PDFs)
• Extract the HTML tags corresponding to all URLs in the WARC entries
• optional: post-process the above list to identify outgoing links, extract their domain name, and content type
• optional: run text extraction

In particular, the list of domain names mentioned in outgoing link may be used to obtain a "depth 1 pseudo-crawl" by running the same process again

cc @sebastian-nagel