| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - dataclaw |
| - claude-code |
| - codex-cli |
| - cursor |
| - custom |
| - gemini-cli |
| - kimi-cli |
| - opencode |
| - openclaw |
| - conversations |
| - coding-assistant |
| - tool-use |
| - agentic-coding |
| - claude-haiku-4-5-20251001 |
| - claude-sonnet-5 |
| 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/peteromallet/dataclaw). |
|
|
| **Tag: `dataclaw`** - [Browse all DataClaw datasets](https://huggingface.co/datasets?other=dataclaw) |
|
|
| ## Stats |
|
|
| | Metric | Value | |
| |--------|-------| |
| | Sessions | 2 | |
| | Projects | 1 | |
| | Input tokens | 356K | |
| | Output tokens | 4K | |
| | Last updated | 2026-09-02 | |
|
|
| ### Models |
|
|
| | Model | Sessions | Input tokens | Output tokens | |
| |-------|----------|--------------|---------------| |
| | claude-haiku-4-5-20251001 | 1 | 245K | 3K | |
| | claude-sonnet-5 | 1 | 112K | 944 | |
|
|
| ### Projects |
|
|
| | Project | Sessions | Input tokens | Output tokens | |
| |-------|----------|--------------|---------------| |
| | dataclaw-test | 2 | 356K | 4K | |
|
|
| ## Schema |
|
|
| Each line in `conversations.jsonl` is one session: |
|
|
| ```json |
| { |
| "session_id": "abc-123", |
| "project": "my-project", |
| "model": "claude-opus-4-6", |
| "git_branch": "main", |
| "start_time": "2025-06-15T10:00:00+00:00", |
| "end_time": "2025-06-15T10:30:00+00:00", |
| "messages": [ |
| { |
| "role": "user", |
| "content": "Fix the login bug", |
| "content_parts": [ |
| {"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": "..."}} |
| ], |
| "timestamp": "..." |
| }, |
| { |
| "role": "assistant", |
| "content": "I'll investigate the login flow.", |
| "thinking": "The user wants me to look at...", |
| "tool_uses": [ |
| { |
| "tool": "bash", |
| "input": {"command": "grep -r 'login' src/"}, |
| "output": { |
| "text": "src/auth.py:42: def login(user, password):", |
| "raw": {"stderr": "", "interrupted": false} |
| }, |
| "status": "success" |
| } |
| ], |
| "timestamp": "..." |
| } |
| ], |
| "stats": { |
| "user_messages": 5, "assistant_messages": 8, |
| "tool_uses": 20, "input_tokens": 50000, "output_tokens": 3000 |
| } |
| } |
| ``` |
|
|
| `messages[].content_parts` is optional and preserves structured user content such as attachments when the source provides them. The canonical human-readable user text remains in `messages[].content`. |
|
|
| `tool_uses[].output.raw` is optional and preserves extra structured tool-result fields when the source provides them. The canonical human-readable result text remains in `tool_uses[].output.text`. |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("masterda/my-personal-codex-data", split="train") |
| ``` |
|
|
| ## Export your own |
|
|
| ```bash |
| pip install -U dataclaw |
| dataclaw |
| ``` |
|
|
