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Dataset: blog_authorship_corpus 馃彿
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from datasets import load_dataset dataset = load_dataset("blog_authorship_corpus")


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Table of Contents

Dataset Description

Dataset Summary

The Blog Authorship Corpus consists of the collected posts of 19,320 bloggers gathered from in August 2004. The corpus incorporates a total of 681,288 posts and over 140 million words - or approximately 35 posts and 7250 words per person.

Each blog is presented as a separate file, the name of which indicates a blogger id# and the blogger鈥檚 self-provided gender, age, industry and astrological sign. (All are labeled for gender and age but for many, industry and/or sign is marked as unknown.)

All bloggers included in the corpus fall into one of three age groups:

路 8240 "10s" blogs (ages 13-17),

路 8086 "20s" blogs(ages 23-27)

路 2994 "30s" blogs (ages 33-47).

For each age group there are an equal number of male and female bloggers.

Each blog in the corpus includes at least 200 occurrences of common English words. All formatting has been stripped with two exceptions. Individual posts within a single blogger are separated by the date of the following post and links within a post are denoted by the label urllink.

The corpus may be freely used for non-commercial research purposes

Supported Tasks

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances


  • Size of downloaded dataset files: 298.45 MB
  • Size of the generated dataset: 617.75 MB
  • Total amount of disk used: 916.20 MB

An example of 'validation' looks as follows.

    "age": 23,
    "date": "27,July,2003",
    "gender": "female",
    "horoscope": "Scorpion",
    "job": "Student",
    "text": "This is a second test file."

Data Fields

The data fields are the same among all splits.


  • text: a string feature.
  • date: a string feature.
  • gender: a string feature.
  • age: a int32 feature.
  • horoscope: a string feature.
  • job: a string feature.

Data Splits Sample Size

name train validation
blog-authorship-corpus 532812 31277

Dataset Creation

Curation Rationale

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Source Data

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

    title={Effects of age and gender on blogging.},
    author={Schler, Jonathan and Koppel, Moshe and Argamon, Shlomo and Pennebaker, James W},
    booktitle={AAAI spring symposium: Computational approaches to analyzing weblogs},