arXiv (All)
open access
ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety Classification
We present ArabicDialectSafety, a human-curated Arabic safety dataset of 25,071 prompts covering six Arabic varieties: Modern Standard Arabic, Syrian, Egyptian, Algerian, Palestinian, and Moroccan. The dataset is annotated with dialect labels and seven fine-grained harm categories. We introduce a du
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety Classification#789813
- Professionalism Pulse: Development and Validation of a Natural Language Processing Pipeline and Dashboard for Safety Culture Surveillance in NYC Health + Hospitals#296519
- Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines#798229
- Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines#796816
- Baszta: Data-Centric Fine-Tuning of a Polish Multi-Label Safety Classifier#1077195
Record · ID 793818
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive