遇见数据集

hasinduOnline/akura-dyslexia-sinhala

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Hugging Face2025-12-11 更新2025-12-20 收录
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资源简介:

该数据集包含僧伽罗语文本中常见的阅读障碍书写错误及其纠正示例,专为微调大型语言模型(如Llama 3)以检测和纠正这些特定模式而设计。数据集涵盖四种主要错误类型:视觉混淆(如ගෙරද → ගෙදර)、音位混淆(如න vs ණ)、视觉反转(如බ vs ඩ)和语法/口语错误(如යනව → යනවා)。数据集采用JSONL格式,适合基于聊天的模型微调。

This dataset contains examples of Sinhala text with common dyslexic writing errors and their corrections. It is designed for fine-tuning LLMs (like Llama 3) to detect and correct these specific patterns. The dataset covers 4 main types of errors: Visual Scrambling (e.g., ගෙරද → ගෙදර), Phonetic Confusion (e.g., න vs ණ), Visual Reversal (e.g., බ vs ඩ), and Grammar/Colloquial errors (e.g., යනව → යනවා). The dataset is in JSONL format, suitable for chat-based model fine-tuning.

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