## 📊 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**.