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Webis Gmane Email Corpus 2019

Janek Bevendorff; Khalid Al-Khatib; Martin Potthast; Benno Stein


Dublin Core Export

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Janek Bevendorff</dc:creator>
  <dc:creator>Khalid Al-Khatib</dc:creator>
  <dc:creator>Martin Potthast</dc:creator>
  <dc:creator>Benno Stein</dc:creator>
  <dc:date>2020-06-03</dc:date>
  <dc:description>The Webis Gmane Email Corpus 2019 is a dataset of more than 153 million parsed and segmented emails crawled between February and May 2019 from gmane.io covering more than 20 years of public mailing lists. The dataset has been published as a resource at ACL 2020.

The dataset comes as a set of Gzip-compressed files containing line-based JSON in the Elasticsearch bulk format. Each data record consists of two lines:

{"index": {"_id": "&lt;urn:uuid:c1d95e4b-0f43-46c7-a99e-c575d1d8e1ce&gt;"}}
{"headers": {"header name": "header value", ...}, "text_plain": "plaintext body", "lang": "en", "segments": [{"end": 99, "label": "paragraph", "begin": 0}, ...], "group": "gmane group name"}


The first line is the Elasticsearch index action with a document UUID, the second one the actual parsed email with a (reduced and anonymized) set of headers, the detected language, the original Gmane group name and the predicted content segments as character spans. The Gzip files are splittable every 1,000 records (line pairs) for parallel processing in, e.g., Hadoop.

Available email headers are:


	message_id
	date (yyyy-MM-dd HH:mm:ssZZ)
	subject
	from
	to
	cc
	in_reply_to
	references
	list_id


Available segment classes are:


	paragraph
	closing
	inline_headers
	log_data
	mua_signature
	patch
	personal_signature
	quotation
	quotation_marker
	raw_code
	salutation
	section_heading
	tabular
	technical
	visual_separator


Find more information about the dataset and the segmentation model at webis.de.

If you are using this resource in your work, please cite it as:

@InProceedings{stein:2020o,
  author =              {Janek Bevendorff and Khalid Al-Khatib and Martin Potthast and Benno Stein},
  booktitle =           {58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)},
  month =               jul,
  publisher =           {Association for Computational Linguistics},
  site =                {Seattle, USA},
  title =               {{Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis}},
  year =                2020
}


 </dc:description>
  <dc:identifier>https://zenodo.org/record/3766985</dc:identifier>
  <dc:identifier>10.5281/zenodo.3766985</dc:identifier>
  <dc:identifier>oai:zenodo.org:3766985</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3766984</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/webis</dc:relation>
  <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
  <dc:title>Webis Gmane Email Corpus 2019</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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