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-## 📊 Guwen Datasets
-
-### 1. Erya Benchmark
-We utilize the translation subset of the **Erya** benchmark as our foundational data. For more details, please refer to the [Erya Official Repository](https://github.com/RUCAIBox/Erya).
-
-### 2. Robust-Erya Test Set (Proposed)
-To systematically evaluate model robustness, we introduce **Robust-Erya**, an extension of the Erya benchmark incorporating diverse linguistic noises across multiple domains.
-
-#### Data Scale & Diversity
-Robust-Erya covers **5 distinct domains** from the Erya test suite:
-- `han`: Book of Han
-- `xint`: New Tang History
-- `ming`: Ming History
-- `taip`: Taiping Guangji
-- `xux`: Xu Xiake's Travels
-
-#### Noise Taxonomy
-For each domain, we provide **3 types of noise** with **5 intensity levels** (ranging from 0.1 to 0.5 ratio):
-
-| Noise Type | Description | File Path Example |
-| :--- | :--- | :--- |
-| **sub** | (a) Substitution Noise | `dataset/Robust-Erya/han/sub/han_sub_0.1.json` |
-| **ins** | (b) Redundancy Noise | `dataset/Robust-Erya/han/ins/han_ins_0.3.json` |
-| **del** | (c) Omission Noise | `dataset/Robust-Erya/han/del/han_del_0.5.json` |
-
-Total evaluation files: 5 (domains) × 3 (noise types) × 5 (ratios) = **75 test files**.