| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - dataclaw |
| - claude-code |
| - codex-cli |
| - gemini-cli |
| - opencode |
| - openclaw |
| - conversations |
| - coding-assistant |
| - tool-use |
| - agentic-coding |
| - glm-4.7 |
| pretty_name: Coding Agent Conversations |
| configs: |
| - config_name: default |
| data_files: conversations.jsonl |
| --- |
| |
| # Coding Agent Conversation Logs |
|
|
| > **This is a performance art project.** Anthropic built their models on the world's freely shared information, then introduced increasingly [dystopian data policies](https://www.anthropic.com/news/detecting-and-preventing-distillation-attacks) to stop anyone else from doing the same with their data — pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share. |
|
|
| Exported with [DataClaw](https://github.com/banodoco/dataclaw). |
|
|
| **Tag: `dataclaw`** — [Browse all DataClaw datasets](https://huggingface.co/datasets?other=dataclaw) |
|
|
| ## Stats |
|
|
| | Metric | Value | |
| |--------|-------| |
| | Sessions | 8 | |
| | Projects | 1 | |
| | Input tokens | 1.3B | |
| | Output tokens | 4.0M | |
| | Last updated | 2026-03-10 | |
|
|
| ### Models |
|
|
| | Model | Sessions | |
| |-------|----------| |
| | glm-4.7 | 8 | |
|
|
| ## Schema |
|
|
| Each line in `conversations.jsonl` is one conversation session: |
|
|
| ```json |
| { |
| "session_id": "uuid", |
| "project": "my-project", |
| "model": "gpt-5.3-codex", |
| "git_branch": "main", |
| "start_time": "2025-01-15T10:00:00+00:00", |
| "end_time": "2025-01-15T10:30:00+00:00", |
| "messages": [ |
| {"role": "user", "content": "Fix the login bug", "timestamp": "..."}, |
| { |
| "role": "assistant", |
| "content": "I'll investigate the login flow.", |
| "thinking": "The user wants me to...", |
| "tool_uses": [ |
| { |
| "tool": "bash", |
| "input": {"command": "grep -r 'login' src/"}, |
| "output": {"text": "src/auth.py:42: def login(user, password):"}, |
| "status": "success" |
| } |
| ], |
| "timestamp": "..." |
| } |
| ], |
| "stats": { |
| "user_messages": 5, |
| "assistant_messages": 8, |
| "tool_uses": 20, |
| "input_tokens": 50000, |
| "output_tokens": 3000 |
| } |
| } |
| ``` |
|
|
| ### Privacy |
|
|
| - Paths anonymized to project-relative; usernames hashed |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("nixjoe/new-cpu-260310", split="train") |
| ``` |
|
|
| ## Export your own |
|
|
| ```bash |
| pip install dataclaw |
| dataclaw |
| ``` |
|
|
