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2026-01-16 10:58:16
2026-02-24 19:21:44
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2026-01-16 13:41:02
2026-02-24 20:04:09
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04f2303d-2b0f-4a33-92a7-26fc6e9f3bef
claude-opus-4-5-20251101
2026-01-19T10:19:51.792Z
2026-01-19T10:20:04.508Z
[ { "role": "user", "content": "List what directories and files are here. Just ls, no explanation needed.", "timestamp": "2026-01-19T10:19:51.792Z", "thinking": null, "tool_uses": null }, { "role": "assistant", "content": null, "timestamp": "2026-01-19T10:19:54.415Z", "thinking...
{ "user_messages": 2, "assistant_messages": 8, "tool_uses": 2, "input_tokens": 153370, "output_tokens": 32, "skipped_lines": 0 }
~home
1176f3ef-0529-4f7f-9651-80e1fb1ff0fe
claude-opus-4-5-20251101
HEAD
2026-02-05T17:33:00.705Z
2026-02-05T21:28:04.978Z
[ { "role": "user", "content": "I need to free up space on my comptuer, can you look around and come up with suggestions on what to do?", "timestamp": "2026-02-05T17:33:00.705Z", "thinking": null, "tool_uses": null }, { "role": "assistant", "content": null, "timestamp": "2026-02-05...
{ "user_messages": 25, "assistant_messages": 203, "tool_uses": 159, "input_tokens": 8866093, "output_tokens": 11121, "skipped_lines": 0 }
~home
1f145f0d-02f0-4290-91fb-035243959ea7
claude-opus-4-5-20251101
2026-01-30T13:05:57.040Z
2026-01-30T13:08:14.385Z
[ { "role": "user", "content": "See in the enhance setting on Media Lightbox for videos, can you make it so that the default quality is maximum and can you make sure that the quality thing is also shown in the upscale section of the shared task detail model thing? @.cursor/worktrees/reigh/pqj/src/tools/travel...
{ "user_messages": 1, "assistant_messages": 69, "tool_uses": 42, "input_tokens": 3831671, "output_tokens": 208, "skipped_lines": 0 }
~home
23346621-eb05-4916-8b76-34ad66ea4ada
claude-opus-4-5-20251101
2026-01-30T15:51:54.218Z
2026-01-30T15:54:05.955Z
[ { "role": "user", "content": "<local-command-caveat>Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.</local-command-caveat>", "timestamp": "2026-01-30T1...
{ "user_messages": 5, "assistant_messages": 9, "tool_uses": 5, "input_tokens": 157716, "output_tokens": 42, "skipped_lines": 0 }
~home
24408fbc-089b-4955-9613-9084e4c652de
claude-opus-4-5-20251101
2026-01-19T10:13:50.789Z
2026-01-19T10:14:06.860Z
[ { "role": "user", "content": "Read the codebase context, then cd into /user_c042661f/.pm and await instructions", "timestamp": "2026-01-19T10:13:50.789Z", "thinking": null, "tool_uses": null }, { "role": "assistant", "content": null, "timestamp": "2026-01-19T10:13:53.756Z", "...
{ "user_messages": 1, "assistant_messages": 9, "tool_uses": 3, "input_tokens": 174189, "output_tokens": 35, "skipped_lines": 0 }
~home
2463b579-820e-4dc9-90c8-be8fafeb656f
claude-opus-4-5-20251101
2026-01-30T10:29:23.963Z
2026-01-30T12:19:38.869Z
[{"role":"user","content":"[Request interrupted by user for tool use]","timestamp":"2026-01-30T10:29(...TRUNCATED)
{"user_messages":41,"assistant_messages":870,"tool_uses":384,"input_tokens":85032105,"output_tokens"(...TRUNCATED)
~home
257d3654-c916-4036-a7f4-3a3694ad5e06
claude-opus-4-5-20251101
2026-01-19T10:20:02.683Z
2026-01-19T10:20:29.730Z
[{"role":"user","content":"List what directories and files are here. Just ls, no explanation needed.(...TRUNCATED)
{"user_messages":2,"assistant_messages":14,"tool_uses":5,"input_tokens":271436,"output_tokens":48,"s(...TRUNCATED)
~home
389fa9b0-3d28-4f0b-b63a-b68af8ce7a71
claude-opus-4-5-20251101
2026-01-29T14:00:44.171Z
2026-01-29T15:39:29.014Z
[{"role":"user","content":"[Request interrupted by user for tool use]","timestamp":"2026-01-29T14:00(...TRUNCATED)
{"user_messages":12,"assistant_messages":273,"tool_uses":141,"input_tokens":25594008,"output_tokens"(...TRUNCATED)
~home
3a2401b2-70f5-4d5f-980d-eafe61fe67fc
claude-opus-4-5-20251101
2026-01-19T10:19:38.661Z
2026-01-19T10:19:46.920Z
[{"role":"user","content":"List what directories and files are here. Just ls, no explanation needed.(...TRUNCATED)
{"user_messages":1,"assistant_messages":4,"tool_uses":1,"input_tokens":74992,"output_tokens":12,"ski(...TRUNCATED)
~home
416aa5fb-6324-43a5-ba32-5aeaad52adaa
claude-opus-4-5-20251101
2026-01-30T12:25:11.640Z
2026-01-30T12:29:31.234Z
[{"role":"user","content":"<local-command-caveat>Caveat: The messages below were generated by the us(...TRUNCATED)
{"user_messages":5,"assistant_messages":12,"tool_uses":4,"input_tokens":256294,"output_tokens":41,"s(...TRUNCATED)
~home
End of preview. Expand in Data Studio

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 — 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: dataclawBrowse all DataClaw datasets

Stats

Metric Value
Sessions 549
Projects 14
Input tokens 15.1B
Output tokens 4.6M
Last updated 2026-02-24

Models

Model Sessions
claude-opus-4-6 270
claude-opus-4-5-20251101 256
claude-sonnet-4-6 16
claude-haiku-4-5-20251001 6
claude-sonnet-4-5-20250929 1

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": "Read", "input": "src/auth.py"}],
      "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
  • No tool outputs — only tool call inputs (summaries)

Load

from datasets import load_dataset
ds = load_dataset("peteromallet/dataclaw-peteromallet", split="train")

Export your own

pip install dataclaw
dataclaw
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