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  **CL²GEC** is a benchmark for **Chinese grammatical error correction (GEC)** in **scholarly writing** with a **continual-learning** protocol. The corpus covers **10 first-level disciplines** (Law, Management, Education, Economics, Natural Sciences, History, Agricultural Sciences, Literature, Arts, Philosophy). Each sample contains an errorful sentence (`source`) and one or more corrected references (`references`). Standard **train / validation / test** splits are provided and may be used **per-discipline** to study sequential/continual learning behavior such as forgetting and transfer.
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  ## Supported Tasks and Leaderboards
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  **Grammatical Error Correction (GEC)** / **Text-to-Text Generation**
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  - GEC metrics: **Precision / Recall / F0.5** (e.g., via ChERRANT).
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  - Continual-learning (optional): **Average Performance** and **Backward Transfer (BWT)** computed over task sequences defined by the ordered disciplines.
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  ## Dataset Structure
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  **CL²GEC** is a benchmark for **Chinese grammatical error correction (GEC)** in **scholarly writing** with a **continual-learning** protocol. The corpus covers **10 first-level disciplines** (Law, Management, Education, Economics, Natural Sciences, History, Agricultural Sciences, Literature, Arts, Philosophy). Each sample contains an errorful sentence (`source`) and one or more corrected references (`references`). Standard **train / validation / test** splits are provided and may be used **per-discipline** to study sequential/continual learning behavior such as forgetting and transfer.
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  ## Supported Tasks and Leaderboards
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  **Grammatical Error Correction (GEC)** / **Text-to-Text Generation**
 
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  - GEC metrics: **Precision / Recall / F0.5** (e.g., via ChERRANT).
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  - Continual-learning (optional): **Average Performance** and **Backward Transfer (BWT)** computed over task sequences defined by the ordered disciplines.
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  ## Dataset Structure
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