authorship
blog_authorship_corpusThe Blog Authorship Corpus consists of the collected posts of 19,320 bloggers gathered from blogger.com 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’s 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:
- 8240 "10s" blogs (ages 13-17),
- 8086 "20s" blogs (ages 23-27),
- 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.guardian_authorshipA dataset cross-topic authorship attribution. The dataset is provided by Stamatatos 2013.
1- The cross-topic scenarios are based on Table-4 in Stamatatos 2017 (Ex. cross_topic_1 => row 1:P S U&W ).
2- The cross-genre scenarios are based on Table-5 in the same paper. (Ex. cross_genre_1 => row 1:B P S&U&W).
3- The same-topic/genre scenario is created by grouping all the datasts as follows.
For ex., to use same_topic and split the data 60-40 use:
train_ds = load_dataset('guardian_authorship', name="cross_topic_<<#>>",
split='train[:60%]+validation[:60%]+test[:60%]')
tests_ds = load_dataset('guardian_authorship', name="cross_topic_<<#>>",
split='train[-40%:]+validation[-40%:]+test[-40%:]')
IMPORTANT: train+validation+test[:60%] will generate the wrong splits because the data is imbalanced
* See https://huggingface.co/docs/datasets/splits.html for detailed/more examplesblog_authorship_corpusczech_corpus_authorship_recognition
Czech Authorship Recognition Corpus (Kala)
Popis datasetu
Tento dataset byl vytvořen v rámci diplomové práce zaměřené na automatické rozpoznání autorství českých textů. Obsahuje české publicistické texty získané z veřejně dostupných online zdrojů a připravené pro experimenty v úlohách:
přiřazení autorství (authorship attribution)
ověřování autorství (authorship verification)
shlukování podle autorství (authorship clustering)
Zdrojová data
Do… See the full description on the dataset page: https://huggingface.co/datasets/MU-NLPC/czech_corpus_authorship_recognition.authorship-verification
Dataset Card for Dataset Name
Dataset for authorship verification, comprised of 12 cleaned, modified, open source authorship verification and attribution datasets.
Dataset Details
Code for cleaning and modifying datasets can be found in https://github.com/swan-07/authorship-verification/blob/main/Authorship_Verification_Datasets.ipynb and is detailed in paper.
Datasets used to produce the final dataset are:
Reuters50
@misc{misc_reuter_50_50_217,
author = {Liu… See the full description on the dataset page: https://huggingface.co/datasets/swan07/authorship-verification.authorship-strategy
Authorship Strategy — Knowledge Graph
JSON-LD knowledge graph encoding the concept layer of the Authorship Strategy research line — a normative framework, tactical catalog, and empirical baseline for authorship strategy under AI-mediated diffusion.
What this dataset is
This dataset is a mirror of the graph.jsonld file at the root of the Authorship Strategy GitHub repository. It is provided here for LLM training pipelines, knowledge-graph crawlers, and AI research… See the full description on the dataset page: https://huggingface.co/datasets/shimo4228/authorship-strategy.