SWE-chat captures real-world AI coding sessions from developers using AI coding assistants (Claude Code, Codex, Gemini CLI, and others via the Entire.io CLI).
Rows—
Configurations—
Size20.0 GB
Licenseodc-by
AccessAccess requested at publisher
Monthly Downloads4.5k
Dataset Card
By Social And Language Technology Lab, published under odc-by, revision cb99dee5e013.
SWE-chat: Coding Agent Interactions From Real Users in the Wild
- Paper: arxiv.org/abs/2604.20779
- Website: swe-chat.com
Dataset Summary
SWE-chat captures real-world AI coding sessions from developers using AI coding assistants (Claude Code, Codex, Gemini CLI, and others via the Entire.io CLI). Each session includes the full conversation transcript, tool calls, thinking traces, code changes, and attribution of human vs. agent-authored code.
Dataset Size
| Table | Rows |
|---|---|
repositories |
707 |
checkpoints |
54,918 |
sessions |
17,968 |
session_logs |
17,968 |
commits |
62,333 |
conversations |
11,607,572 (229,909 user prompts) |
subagent_tasks |
546 |
conversations_subagents |
8,673 |
skill_definitions |
3,523 |
skill_invocations |
12,243 |
context_events |
80,958 |
transcripts/* (raw log files) |
17,819 |
transcripts_compact/* (compacted log files) |
3,760 |
transcripts_subagent/* (raw subagent log files) |
83 |
Tables
Details
- Repository
- SALT-NLP/SWE-chat
- Publisher
- Social And Language Technology Lab
- Task category
- Text generation
- Tags
- code, agent, traces
- Size category
- 10M<n<100M
- Languages
- en, ja, zh, ko, ru, pt
- Revision
- cb99dee5e0136192a7c0e53270f8c76cd8011683
- Last updated
- 2026-10-03
Files
4,997 files, 20.0 GB in total.
Data3000 files · 16.7 GB
Every file (first 3,000)
| File | Type | Size | SHA-256 |
|---|---|---|---|
| checkpoints.parquet | Data | 25.5 MB | — |
| commits.parquet | Data | 5.1 GB | — |
| context_events.parquet | Data | 5.1 MB | — |
| conversations.parquet | Data | 6.4 GB | — |
| conversations_subagents.parquet | Data | 18.7 MB | — |
| repositories.parquet | Data | 900.5 KB | — |
| session_logs.parquet | Data | 43.7 MB | — |
| sessions.parquet | Data | 36.5 MB | — |
| skill_definitions.parquet | Data | 16.6 MB | — |
| skill_invocations.parquet | Data | 1.3 MB | — |
| subagent_tasks.parquet | Data | 213.2 KB | — |
| transcripts/001ff8d2-ee5a-4976-9052-45f61230e52d.jsonl | Data | 8.5 MB | — |
| transcripts/0026a693-6705-40e1-b0d5-e914ccb8f5ee.jsonl | Data | 687.7 KB | — |
| transcripts/002a787f-a3b7-4a3a-b6e4-fe3a95615d0b.jsonl | Data | 37.8 KB | — |
| transcripts/0042d351-fad5-4c90-8890-a26276efc046.jsonl | Data | 6.4 MB | — |
| transcripts/004407cd-4bb6-40a4-9ab1-445b085e4dfe.jsonl | Data | 4.3 MB | — |
| transcripts/00468b34-359e-43a2-b0bb-30677f1aee5e.jsonl | Data | 619.1 KB | — |
| transcripts/005f0e42-2d4a-421a-a981-465404b60aab.jsonl | Data | 332.4 KB | — |
| transcripts/006568a5-6793-4fe0-ac98-1ddb8d2ba23b.jsonl | Data | 4.7 MB | — |
| transcripts/007f1a33-fa8e-44c6-9836-4a6fa6e03c0a.jsonl | Data | 7.4 MB | — |
| transcripts/008bcd8e-bdc3-4004-a591-74eb0acbba38.jsonl | Data | 1.0 MB | — |
| transcripts/008d0ecf-0046-4993-ba13-6370601ece23.jsonl | Data | 6.5 MB | — |
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