arXiv cs.CL· Adel Ammar, Serry Sibaee, Wadii Boulila·· 12 小时前AI 评分26
PlagiaCorpus：面向取证式抄袭检测的双语对抗跨语言数据集
PlagiaCorpus: A Bilingual, Adversarial, and Cross-Lingual Dataset for Forensic Plagiarism Detection
AI 导读
PlagiaCorpus 是一个阿拉伯语-英语双语数据集，用于评测抄袭与文本复用检测，包含 LLM 生成复用和跨语言复用场景，共 198,643 条文本记录。
正文 · 原文
Abstract:PlagiaCorpus is a bilingual Arabic-English dataset for benchmarking plagiarism and text-reuse detection, including reuse produced by large language models (LLMs) and reuse across languages. It contains 198,643 text records: a source corpus of 34,885 passages drawn from English and Arabic Wikipedia and two openly licensed book collections, and 163,758 queries (147,381 for training and 16,377 for testing). The queries cover five reuse classes of increasing difficulty, namely verbatim copying, character-level obfuscation, same-language paraphrasing by two different LLMs, and English--Arabic translation with structural paraphrasing, together with a Safe class of non-reused passages. Every positive query is linked to its source passage, and the train/test split is grouped by source passage so that no passage contributes queries to both splits. The release was curated through language identification, removal of LLM generation artefacts, and exact and cross-lingual de-duplication. Technical validation reports per-class length statistics, automatic checks of the train/test split, and inter-annotator agreement on a manually rated sample. The dataset is distributed in JSON and Parquet formats under a CC BY-SA 4.0 license.
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Digital Libraries (cs.DL); Information Retrieval (cs.IR) |
| Cite as: | arXiv:2611.02940 [cs.CL] |
| (or arXiv:2611.02940v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2611.02940 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Adel Ammar [view email]
[v1]
Mon, 2 Nov 2026 11:08:11 UTC (3,821 KB)
来源：arXiv cs.CL · arxiv.org