Extracted Features Dataset Now Available for 4.8 Million Volumes/1.8 Billion Pages

The HathiTrust Research Center is pleased to announce the release of its Extracted Features Dataset (v.0.2), a dataset derived from 4.8 million public domain volumes, totaling over 1.8 billion pages currently available in the HathiTrust Digital Library collection. The dataset includes over 734 billion words, dozens of languages, and spans multiple centuries. Features are informative, quantified characteristics of a text, and include:

 

  • Volume-level metadata

  • Page-level features

    • Part-of-speech-tagged token counts

    • Header and footer identification

    • Sentence and line count

    • Algorithmic language detection

  • Line-level features

    • Beginning and end line character count

    • Maximum length of the sequence of capital characters starting a line

These features allow for analysis of large worksets of volumes in the HathiTrust public domain collection, at scales previously intractable for most individual researchers. For example, page-level token (word) counts, can be used to help build topic models, classifications and perform other text analytics. Similarly, features can be used to evaluate readability of a given volume or workset.

 

How to get the data:

The entire dataset, as well as sample subsets and custom worksets, are available at: https://sharc.hathitrust.org/features

 

How to cite:

Boris Capitanu, Ted Underwood, Peter Organisciak, Sayan Bhattacharyya, Loretta Auvil, Colleen Fallaw, J. Stephen Downie (2015). Extracted Feature Dataset from 4.8 Million HathiTrust Digital Library Public Domain Volumes (v0.2). [Dataset]. HathiTrust Research Center, doi:10.13012/j8td9v7m.

 

This feature dataset is provided under a Creative Commons Attribution 4.0 International License.

 

About the HathiTrust Research Center:

The HTRC is a collaborative research center launched jointly by Indiana University and the University of Illinois, along with the HathiTrust Digital Library, to help meet the technical challenges of dealing with massive amounts of digital text that researchers face by developing cutting-edge software tools and cyberinfrastructure to enable advanced computational access to the growing digital record of human knowledge.

 

For more information about the HathiTrust Research Center, visit http://www.hathitrust.org/htrc

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