Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6
datasets available to search
ShareScore release 0.9.0
Dataset results
6 results for “authorship attribution”
Reproducible Authorship Attribution Benchmark Tasks
<p>Reproducible Authorship Attribution Benchmark Tasks (RAABT) consists of five closed-set authorship identification experiments.</p> <p>Each task features fixed train and test sets. Four of the five tasks have a test set consisting of writing samples on fixed topics, guaranteeing that test set examples do not overlap with training set examples in terms of subject matter. Data for all tasks is available for download without any restrictions.</p> <p>The file README.md contains a full description of the data.</p>
Authorship Attribution - Twitter - 2019
<p>Dataset of tweets used for the research of authorship attribution of small messages. It was used in the work <a href="https://ieeexplore.ieee.org/document/8683747"><em>A Needle in a Haystack? Harnessing Onomatopoeia and User-specific Stylometrics for Authorship Attribution of Micro-messages</em></a> published at <a href="https://2019.ieeeicassp.org/"><em>2019 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP</em></a></p> <p> </p> <p>Format:</p> <p>A single file with one tweet ID per line. Total of 130,141,590 tweet IDs from more than 55,000 Twitter users.</p> <p>The tweets can be recovered from Twitter (hydrated) using the Twitter API or the code at <a href="https://github.com/theocjr/twitter-reader">twitter-reader</a>.</p>
PAN19 Authorship Analysis: Cross-Domain Authorship Attribution
<p>Authorship attribution is an important problem in information retrieval and computational linguistics but also in applied areas such as law and journalism where knowing the author of a document (such as a ransom note) may enable e.g. law enforcement to save lives. The most common framework for testing candidate algorithms is the closed-set attribution task: given a sample of reference documents from a restricted and finite set of candidate authors, the task is to determine the most likely author of a previously unseen document of unknown authorship. This task may be quite challenging in <strong>cross-domain conditions</strong>, when documents of known and unknown authorship come from different domains (e.g., thematic area, genre). In addition, it is often more realistic to assume that the true author of a disputed document is not necessarily included in the list of candidates.</p> <p><strong>Fanfiction</strong> refers to fictional forms of literature which are nowadays produced by admirers ('fans') of a certain author (e.g. J.K. Rowling), novel ('Pride and Prejudice'), TV series (Sherlock Holmes), etc. The fans heavily borrow from the original work's theme, atmosphere, style, characters, story world etc. to produce new fictional literature, i.e. the so-called <strong>fanfics</strong>. This is why fanfiction is also known as transformative literature and has generated a number of controversies in recent years related to the intellectual rights property of the original authors (cf. plagiarism). Fanfiction, however, is typically produced by fans without any explicit commercial goals. The publication of fanfics typically happens online, on informal community platforms that are dedicated to making such literature accessible to a wider audience (e.g. <a href="https://www.fanfiction.net/">fanfiction.net</a>). The original work of art or genre is typically refered to as a <strong>fandom</strong>.</p> <p>This edition of PAN focuses on cross-domain attribution in fanfiction, a task that can be more accurately described as <strong>cross-fandom attribution in fanfiction</strong>. In more detail, all documents of unknown authorship are fanfics of the same fandom (target fandom) while the documents of known authorship by the candidate authors are fanfics of several fandoms (other than the target-fandom). In contrast to the PAN-2018 edition of this task, we focus on <strong>open-set attribution</strong> conditions, namely the true author of a text in the target domain is not necessarily included in the list of candidate authors.</p> <p>Each problem consists of a set of known fanfics by each candidate author and a set of unknown fanfics located in separate folders. The file <code>problem-info.json</code> that can be found in the main folder of each problem, shows the name of folder of unknown documents and the list of names of candidate author folders.</p> <p>The fanfics of known authorship belong to several fandoms (excluding the target fandom). The file <code>fandom-info.json</code> (it can be found in the main folder of each problem) provides information about the fandom of all fanfics of known authorsihp, as follows.</p> <p>The true author of each unknown document can be seen in the file <code>ground-truth.json</code>, also found in the main folder of each problem. Note that all unknown documents that are not written by any of the candidate authors belong to the <code><UNK></code> class.</p> <p>In addition, to handle a collection of such problems, the file <code>collection-info.json</code> includes all relevant information. In more detail, for each problem it lists its main folder, the language (either <code>"en"</code>, <code>"fr"</code>, <code>"it"</code>, or <code>"sp"</code>), and the encoding (always <code>UTF-8</code>) of documents.</p>
ELTeC for Authorship Attribution
<p>Selected texts from multiple ELTeC collections, prepared as simple test datasets for authorship attribution. Each set contains between 24 and 33 novels by 8 to 11 different authors (3 novels per author) in plain text. The languages represented are English, German, French, Hungarian, Portuguese, Slovenian, Romanian. </p>
Albanian Authorship Attribution Corpus
<p>This dataset includes the following information:</p> <ul> <li><strong>data folder</strong>: Contains two subfolders that categorize texts for each dataset.</li> <ul> <li><strong>literary folder</strong>: folders representing contemporary Albanian authors.</li> <li><strong>columns folder</strong>: folders representing Albanian journalists and editors from various web sources.</li> </ul> </ul> <p>Each subfolder contains the written texts of specific writers.</p> <p>To ensure confidentiality and protect user privacy, all identifying information about the authors and their writings, has been anonymized. This measure prevents the disclosure of any personally identifiable information and respects the authors' right to privacy. Texts are denoted as [number].txt within their respective folders.</p> <p><span>This corpus was utilized in our work “Automatic Authorship Attribution in Albanian Texts”.</span></p>
Cross-Register Authorship Attribution Corpus
<p>This corpus contains writings of eight authors known to have written in both vernacular and classical Chinese. The corpus has 4.2 million Chinese characters and can be useful in authorship identification research.</p> <p>The file README.md contains a full description of the data.</p> <p>All materials in this archive are in the public domain.</p> <p> </p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.