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AI-Brown
AI-Brown is a generated, annotated, multi-genre corpus of English texts produced by large language models (LLMs).
| Name | AI-Brown | |
|---|---|---|
| Positions | Number of positions (tokens) | 27 661 454 |
| Number of positions (excl. punctuation) | 23 975 982 | |
| Number of word forms (excl. punctuation) | 125 896 | |
| Number of lemmas (excl. punctuation) | 110 835 | |
| Further information | Number of sub-corpora | 32 |
| Number of models | 16 | |
| Publication year | 2025 | |
Modeled on the BE21 Corpus1) — a modern implementation of the original Brown Corpus—AI-Brown was created to replicate its structure, genre diversity, and linguistic richness, enabling systematic comparisons between human and machine-generated English texts. The corpus comprises outputs from 13 frontier LLMs developed by OpenAI, Anthropic, Meta, Alphabet, and DeepSeek. Each model was prompted using the first 500 words of BE21 text samples, with the remaining portion reserved as human-authored reference material, ensuring genre-aligned and topically consistent comparisons. Like BE21, AI-Brown spans a wide range of contemporary English genres. All generated texts are tokenized, lemmatized, and annotated morphologically and syntactically using the Universal Dependencies framework, and are provided in both plain text and CoNLL-U formats. AI-Brown is a large-scale English LLM-generated corpus explicitly designed for cross-model and human-machine linguistic analysis.
