session_id stringclasses 2
values | model stringclasses 2
values | git_branch stringclasses 1
value | start_time stringclasses 2
values | end_time stringclasses 2
values | messages listlengths 8 11 | stats dict | project stringclasses 1
value | source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
54813338-0396-4ccb-a8e5-886927715ff8 | claude-haiku-4-5-20251001 | HEAD | 2026-09-02T15:27:59.492Z | 2026-09-02T15:30:29.167Z | [
{
"role": "user",
"content": "i am testing dataclaw. i want this to be a claude project",
"timestamp": "2026-09-02T15:27:59.492Z"
},
{
"role": "assistant",
"thinking": "The user is testing dataclaw and wants this to be a Claude project. They're in the directory `c:\\Users\\user_18e8b20e\\Des... | {
"user_messages": 3,
"assistant_messages": 8,
"tool_uses": 3,
"input_tokens": 244543,
"output_tokens": 2971
} | dataclaw-test | claude |
54813338-0396-4ccb-a8e5-886927715ff8:subagents | claude-sonnet-5 | HEAD | 2026-09-02T15:29:11.066Z | 2026-09-02T15:30:21.115Z | [
{
"role": "user",
"content": "Explore the directory c:\\Users\\user_18e8b20e\\Desktop\\dataclaw-test thoroughly. I need to write a CLAUDE.md file for this codebase.\n\nPlease report back:\n1. The full directory/file listing (list all files and folders, including hidden ones like .cursorrules, .github/copilo... | {
"user_messages": 1,
"assistant_messages": 7,
"tool_uses": 6,
"input_tokens": 111711,
"output_tokens": 944
} | dataclaw-test | claude |
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 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.
Tag: dataclaw - Browse all DataClaw datasets
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:
{
"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
from datasets import load_dataset
ds = load_dataset("masterda/my-personal-codex-data", split="train")
Export your own
pip install -U dataclaw
dataclaw
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