session_id string | model string | git_branch string | start_time string | end_time string | messages list | stats dict | project string | source string |
|---|---|---|---|---|---|---|---|---|
005b0d8e-f887-427a-ba33-757269089258 | glm-4.7 | master | 2026-03-10T06:48:41.231Z | 2026-03-10T06:53:46.131Z | [
{
"role": "user",
"content": "'/workspaces/litellm-setup/start-claude-with-litellm.sh' 使用的时候显示：Unable to connect to API (ECONNREFUSED) 请调查现在的进程情况以及出错原因",
"timestamp": "2026-03-10T06:48:41.231Z"
},
{
"role": "assistant",
"thinking": "The user is asking me to investigate an issue with a ... | {
"user_messages": 2,
"assistant_messages": 40,
"tool_uses": 19,
"input_tokens": 269055,
"output_tokens": 2471
} | workspaces-litellm-setup | claude |
491998c3-ab41-4ccc-b123-5c425a0b8c76 | glm-4.7 | master | 2026-03-09T15:21:21.069Z | 2026-03-09T16:44:30.582Z | [{"role":"user","content":"<command-message>init</command-message>\n<command-name>/init</command-nam(...TRUNCATED) | {"user_messages":13,"assistant_messages":181,"tool_uses":82,"input_tokens":7585211,"output_tokens":8(...TRUNCATED) | workspaces-litellm-setup | claude |
59ec6ff5-02b8-4384-a709-ac0241354e1c | glm-4.7 | master | 2026-03-09T16:58:44.255Z | 2026-03-09T18:04:58.356Z | [{"role":"user","content":"你跟我报告前，请确认无web前端 报错Failed to compile.\n\n./(...TRUNCATED) | {"user_messages":11,"assistant_messages":117,"tool_uses":48,"input_tokens":1774383,"output_tokens":7(...TRUNCATED) | workspaces-litellm-setup | claude |
7cd881e7-bd5d-49fb-9a4c-bb45b79b2b84 | glm-4.7 | master | 2026-03-09T18:20:19.687Z | 2026-03-10T06:38:08.771Z | [{"role":"user","content":"使用一个docker 测试 是的web前端能在docker中使用node v14 (...TRUNCATED) | {"user_messages":19,"assistant_messages":238,"tool_uses":94,"input_tokens":7390161,"output_tokens":2(...TRUNCATED) | workspaces-litellm-setup | 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 | 4 |
| Projects | 1 |
| Input tokens | 17.0M |
| Output tokens | 47K |
| Last updated | 2026-03-10 |
Models
| Model | Sessions |
|---|---|
| glm-4.7 | 4 |
Schema
Each line in conversations.jsonl is one conversation session:
{
"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
from datasets import load_dataset
ds = load_dataset("nixjoe/vue2egg-260310", split="train")
Export your own
pip install dataclaw
dataclaw
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