AI Brown v1

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F25%3A10507836" target="_blank" >RIV/00216208:11210/25:10507836 - isvavai.cz</a>
Result on the web
<a href="http://hdl.handle.net/11234/1-5993" target="_blank" >http://hdl.handle.net/11234/1-5993</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
AI Brown v1
Original language description
AI Brown is a corpus of English texts generated with large language models (LLMs). Its main purpose is to create a resource for comparing human-written texts with LLM-generated text linguistically. The corpus is multi-genre and rich in terms of topics, authors, and text types, and comparabile with existing human-created corpora. The corpus replicates reference human corpus: BE21 by Paul Baker, which is a modern version of the original Brown Corpus. The new corpus was generated using models from OpenAI, Anthropic, Alphabet, Meta, and DeepSeek, ranging from GPT-3 (davinci-002) to GPT-4.5, and are tagged according to the Universal Dependencies standard (i.e., the texts are tokenized, lemmatized, and morphologically and syntactically annotated). The subcorpus size varies according to the model used (864k tokens per model on average, 27.7M tokens altogether). The raw data and plain texts are freely available for download under the CC BY 4.0 license, the UD annotated data are under CC BY-NC-SA 4.0 licence. The corpus is also accessible through the KonText search interface of the Czech National Corpus (https://www.korpus.cz/kontext/query?corpname=ai_brown_v1).
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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