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README.md

@@ -100,11 +100,11 @@ docker run -it --rm minimaxai/feedfeed:<tag> /bin/bash
 
 **By Scaffold**:
 
-| Scaffold | Instances | Description |
-|----------|-----------|-------------|
-| Claude Code | 54 | Anthropic's agentic coding tool |
-| Kilo | 11 | Open-source VS Code extension |
-| Droid | 7 | Factory.ai's software delivery platform |
+| Scaffold | Version | Instances | Description |
+|----------|---------|-----------|-------------|
+| Claude Code | 2.0.69 | 54 | Anthropic's agentic coding tool |
+| Kilo | 0.10.2 | 11 | Open-source VS Code extension |
+| Droid | 0.42.2 | 7 | Factory.ai's software delivery platform |
 
 ## 📝 Data Format
 
@@ -153,10 +153,10 @@ from datasets import load_dataset
 dataset = load_dataset("MiniMaxAI/OctoCodingBench")
 
 # Filter by category
-skill_tasks = [d for d in dataset["train"] if d["category"] == "Skill"]
+skill_tasks = [d for d in dataset["test"] if d["category"] == "Skill"]
 
 # Filter by scaffold
-claudecode_tasks = [d for d in dataset["train"] if d["scaffold"]["name"] == "claudecode"]
+claudecode_tasks = [d for d in dataset["test"] if d["scaffold"]["name"] == "claudecode"]
 ```
 
 ## ⚖️ Evaluation Metrics

README_CN.md

@@ -100,11 +100,11 @@ docker run -it --rm minimaxai/feedfeed:<tag> /bin/bash
 
 **按脚手架**：
 
-| 脚手架 | 实例数 | 描述 |
-|--------|--------|------|
-| Claude Code | 54 | Anthropic 的智能体编程工具 |
-| Kilo | 11 | 开源 VS Code 扩展 |
-| Droid | 7 | Factory.ai 的软件交付平台 |
+| 脚手架 | 版本 | 实例数 | 描述 |
+|--------|------|--------|------|
+| Claude Code | 2.0.69 | 54 | Anthropic 的智能体编程工具 |
+| Kilo | 0.10.2 | 11 | 开源 VS Code 扩展 |
+| Droid | 0.42.2 | 7 | Factory.ai 的软件交付平台 |
 
 ## 📝 数据格式
 
@@ -153,10 +153,10 @@ from datasets import load_dataset
 dataset = load_dataset("MiniMaxAI/OctoCodingBench")
 
 # 按类别筛选
-skill_tasks = [d for d in dataset["train"] if d["category"] == "Skill"]
+skill_tasks = [d for d in dataset["test"] if d["category"] == "Skill"]
 
 # 按脚手架筛选
-claudecode_tasks = [d for d in dataset["train"] if d["scaffold"]["name"] == "claudecode"]
+claudecode_tasks = [d for d in dataset["test"] if d["scaffold"]["name"] == "claudecode"]
 ```
 
 ## ⚖️ 评估指标