AI-generated text corpus AI-GenT 1.0

Name: AI-generated text corpus AI-GenT 1.0
License: https://creativecommons.org/licenses/by-nc-sa/4.0/

Terčon, Luka; Dobrovoljc Zor, Kaja

AI-generated text corpus AI-GenT 1.0

CLARIN.SI data & tools

Avtorji: Terčon, Luka and Dobrovoljc Zor, Kaja

Identifikator vnosa: http://hdl.handle.net/11356/2210

Datum objave: 2026-06-24

Vrsta: corpus, text

Velikost: 3332 texts

Jezik(i): English , Slovenian

Opis: The AI-Generated Text (AI-GenT) corpus is a collection of English and Slovenian texts generated by several large language models. The corpus has been used in comparisons to collections of human-written texts in order to investigate the linguistic characteristics of the language generated by LLMs. The current version of the corpus contains texts that were constructed based on two preexisting human-written text corpora: the Šolar 3.0 corpus of Slovenian student essays (http://hdl.handle.net/11356/1589) and the LOCNESS corpus of English native speaker student essays (provided by the Centre for English Corpus Linguistics (CECL) at Université catholique de Louvain in Belgium - https://www.learnercorpusassociation.org/resources/tools/locness-corpus/). Three different LLMs—GPT-5 (https://developers.openai.com/api/docs/models/gpt-5), GaMS-27B (https://huggingface.co/cjvt/GaMS-27B-Instruct), and gemma-2-27b (https://huggingface.co/google/gemma-2-27b-it)—were instructed to produce corresponding texts to the texts in the human-written corpora using prompts containing information about the topic and length of the desired output. The AI-generated texts were produced by taking various subsets of the original human-written corpora as the basis for constructing the input prompts. For a full overview of the data, model, and prompt type combinations used to generate the AI-generated texts, please refer to the included AI-GenT_structure.png file which includes a full visual representation of the corpus structure. The corpus contains the AI-generated texts both in the form of raw text files as well as in the CoNLL-U file format containing grammatical annotations following the UD system of annotation (https://universaldependencies.org/). UD annotations were generated using the Trankit NLP pipeline (https://aclanthology.org/2021.eacl-demos.10/) with the default model used for English and a custom model used for Slovenian that is retrained on UD v2.15 data (http://hdl.handle.net/11356/1997). In the future, the corpus is planned to be extended with additional AI-generated news articles and Wikipedia articles.

Izdajatelj: Centre for Language Resources and Technologies, University of Ljubljana

Faculty of Arts, University of Ljubljana

Ključne besede: AI-generated text machine-generated text text generation large language models essays

Zbirke: CLARIN.SI data & tools

Prikaži polni zapis vnosa

Datoteke v tem vnosu

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Publicly Available

z licenco:
Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Ime: AI-GenT.zip
Velikost: 49.51 MB
Format: application/zip
Opis: Corpus files
MD5: c81b1ec39ce3b6d72a4e63cea681e2d8

Prenesi datoteko Predogled

Predogled datoteke

essays
- sl
  - Solar
    - 1y-ss
      - GPT-5
        pap
        raw
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        annotated
        essays_sl_Solar_1y-ss_GPT-5_pap_annotated.conllu20 MB
- en
  - LOCNESS
    - LOCNESS_metadata.tsv5 kB
    - A-level
      - GaMS-27b
        def
        raw
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