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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.
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 Hanxint: New Tang Historyming: Ming Historytaip: Taiping Guangjixux: 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.
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