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v1.2.7 update readme
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README.md

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@@ -94,16 +94,28 @@ This repository is organized as follows:
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```
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SQL-R1/
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├── data/ # Datasets
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│ ├── Spider/
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│ └── BIRD/
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├── models/ # Base models or checkpoints
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│ ├── Qwen2.5-Coder-3B-Instruct/
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│ └── Qwen2.5-Coder-7B-Instruct/
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......
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├── sh/ # Scripts for data processing, training, inference and evaluation
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├── src/ # Source code
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└── verl/ # Verl framework
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├── 📁 data/ # Datasets and Databases
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│ ├── 📁 Spider/
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│ └── 📁 BIRD/
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├── 📁 models/ # Foundation models or checkpoints
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│ ├── 📁 Qwen2.5-Coder-3B-Instruct/
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│ └── 📁 Qwen2.5-Coder-7B-Instruct/
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├── 📁 db_info/ # Database information files (Just for inference)
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├── 📁 example_data/ # Example data (Training)
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├── 📁 sh/ # Scripts for data processing, training, inference and evaluation
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│ ├── 📄 train.sh
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│ ├── 📄 inference.sh
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│ ├── 📄 eval_spider.sh
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│ └── 📄 eval_bird.sh
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├── 📁 src/ # Source code
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│ ├── 📁 data_preprocess/
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│ ├── 📁 evaluations/
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│ ├── 📁 utils/
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│ ├── 📄 inference.py
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│ └── 📄 evaluation_*.py
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├── 📁 verl/ # Verl reinforcement learning framework
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├── 📄 requirements.txt
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└── 📄 README.md
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```
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@@ -183,7 +195,7 @@ SQL-R1 can be effectively utilized in the following key areas:
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- Supports transfer learning for domain-specific adaptations
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- Facilitates model versioning and performance tracking
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This may be added in the future work. If you have any ideas, please feel free to contact us.
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This may be added in the future work. If you have any ideas, please feel free to contact us.
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## Thanks for
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