Dataset - Decoding the Configuration of AI Coding Agents: Insights from Claude Code Projects

data.json

It contains a collection of the 100 most popular repositories on GitHub, where for each repository, we have the CLAUDE.md files.

Root object containing two main properties:

collection_metadata (object): Aggregated statistics about the collection process

Collection date, method, and script version

Repository counts (analyzed, with/without CLAUDE files, failed)

Success metrics (rate percentage, total files found)

Redirect statistics (repositories and files using redirects)

repositories (array): List of 100 repository objects, each containing:

repository_info (object): GitHub metadata including name, URL, owner, description, stars, language, topics, dates, forks, and commits

collection_metadata (object): Per-repository collection details (timestamp, method, contributor count, files found)

claude_files (array): CLAUDE.md files discovered in the repository, each with:

File metadata: name, path, size, SHA hash

URLs: HTML view, API endpoint, raw download

Content: primary markdown content (content) and optional redirected content (redirected_content) for repositories using alternative documentation paths

Discovery metadata: method used, redirect flags, content lengths

claude_files_count (integer): Total files in repository

total_content_length (integer): Sum of all content lengths

RQ1.csv

Collection of titles ## extracted from data.json and their semantic categorization, and the URL of CLAUDE.md file from which this title was extracted.

Structure:

title (string): H2 section heading extracted from CLAUDE.md content

cluster_name (string): Semantic category assigned to the title (e.g., "Architecture", "Testing", "Development Guidelines", "Unclear")

url_claude (string): GitHub URL of the source CLAUDE.md file

RQ2.csv

Association of the type with the title and its categorization.

Structure:

cluster_name (string): Semantic category of the title.

title (string): Semicolon-separated list of H2 titles mapped to this category within the file

type (string): Comma-separated content types detected in the section (CODE, TEXT, LINK, DIAGRAM)

CODE: Fenced code blocks with explicit language identifiers

TEXT: Regular markdown text content

LINK: Markdown inline links [text](url)

DIAGRAM: Explicit mermaid diagram blocks

url_claude (string): GitHub URL of the source CLAUDE.md file

RQ3.csv

Result of FPMax associated with the data categorization.

Structure: 

clusters (string): Semicolon-separated list of co-occurring category names

size (integer): Number of categories in the co-occurrence pattern (2 or 3)

support (float): Proportion of the 328 total files containing this exact pattern (range: 0.0-1.0)

count (integer): Absolute number of CLAUDE.md files exhibiting this pattern

example_name (string): Example of section titles related to the extracted common patterns.

本数据集收录了GitHub上热度排名前100的代码仓库，每个仓库均附带CLAUDE.md文件。
根对象包含两个核心属性：

1. `collection_metadata`（对象）：采集过程的聚合统计信息，具体包括：采集日期、采集方法与脚本版本；仓库统计项：已分析仓库数、带有CLAUDE.md文件的仓库数、无CLAUDE.md文件的仓库数、采集失败的仓库数；成功指标：成功率百分比、总发现文件数；重定向统计：使用重定向的仓库与文件情况。

2. `repositories`（数组）：包含100个仓库对象的列表，每个仓库对象包含以下字段：
- `repository_info`（对象）：GitHub元数据，涵盖仓库名称、访问URL、所有者信息、仓库描述、星标数、编程语言、主题标签、创建/更新日期、分叉数与提交记录。
- `collection_metadata`（对象）：单仓库专属采集详情，包含采集时间戳、采集方法、贡献者数量、发现文件数。
- `claude_files`（数组）：在对应仓库中发现的CLAUDE.md文件列表，每个文件包含：
- 文件元数据：文件名、存储路径、文件大小、SHA哈希值
- 访问链接：HTML预览页地址、API接口地址、原始文件下载链接
- 内容信息：主Markdown正文（`content`字段）与可选的重定向内容（`redirected_content`字段，适配使用替代文档路径的仓库）
- 发现元数据：采集方法、重定向标记、内容长度
- `claude_files_count`（整数）：当前仓库内的CLAUDE.md文件总数
- `total_content_length`（整数）：当前仓库所有CLAUDE.md文件的内容总字节数。

---
### RQ1.csv
该文件为从`data.json`中提取的标题合集，附带标题的语义分类信息，以及该标题来源的CLAUDE.md文件的GitHub访问地址。其结构如下：
- `title`（字符串）：从CLAUDE.md内容中提取的H2级章节标题
- `cluster_name`（字符串）：分配给该标题的语义分类（例如“架构”、“测试”、“开发规范”、“分类不明”）
- `url_claude`（字符串）：来源CLAUDE.md文件的GitHub访问URL

---
### RQ2.csv
该文件为内容类型与标题及其分类的关联表，结构如下：
- `cluster_name`（字符串）：标题所属的语义分类
- `title`（字符串）：该分类下映射的所有H2标题的分号分隔列表
- `type`（字符串）：该章节中检测到的内容类型的逗号分隔列表，各类型说明如下：
- `CODE`：带有明确语言标识的围栏代码块（fenced code blocks）
- `TEXT`：常规Markdown文本内容
- `LINK`：Markdown行内链接格式`[文本](URL)`
- `DIAGRAM`：显式的Mermaid图表块
- `url_claude`（字符串）：来源CLAUDE.md文件的GitHub访问URL

---
### RQ3.csv
该文件为与数据分类相关的FPMax关联结果，结构如下：
- `clusters`（字符串）：共现分类名称的分号分隔列表
- `size`（整数）：共现模式中的分类数量（取值为2或3）
- `support`（浮点数）：该精确模式在全部328个文件中的支持度（support）占比（取值范围：0.0~1.0）
- `count`（整数）：呈现该模式的CLAUDE.md文件的绝对数量
- `example_name`（字符串）：与提取的常见模式相关的章节标题示例