rft: 重构项目结构，使用perquet存储训练数据

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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- image-classification
+tags:
+- arknights
+- maa
+pretty_name: Arknights Skill Ready Dataset
+language:
+- zh
+size_categories:
+- 1K<n<10K
+dataset_info:
+  config_name: skill_ready
+  features:
+    - name: image
+      dtype: image
+    - name: label
+      dtype:
+        class_label:
+          names:
+            '0': 'c/技能可关闭'
+            '1': 'n/技能未就绪'
+            '2': 'y/技能已就绪'
+---
+
+# skill_ready
+
+[MAA](https://github.com/MaaAssistantArknights/MaaAssistantArknights/) 使用的明日方舟干员技能就绪状态识别模型训练所使用的数据集
+
+数据集包含三种分类图片
+
+|label|标记|含义|数量|
+|---|---|---|---|
+|0|c|技能可关闭|4528|
+|1|n|技能未就绪|19843|
+|2|y|技能已就绪|8580|
+
+
+
+最佳实践：[MaaAI](https://github.com/MaaAssistantArknights/MaaAI/tree/main/combat/skill_ready)，使用三分类 [MobileNetv4 Small](https://arxiv.org/abs/2404.10518) 网络，模型大小 9M，CPU 推理耗时在 1ms 以内

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