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ML Intern Session Traces

Collects ML Intern coding-agent session traces as Claude‑Code‑style JSONL event streams for viewing with the Hugging Face Agent Trace Viewer. Each file is one session (messages, tool calls, outputs, timestamps); automated scrubbing is applied but no comprehensive human redaction—treat as potentially sensitive.

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[next-mdx-remote-client] error compiling MDX: Expected a closing tag for `<session_id>` (4:81-4:93) before the end of `paragraph` 2 | 3 | ## What Sets It Apart > 4 | - Session-level JSONL files: each record is a complete run (sessions/YYYY-MM-DD/<session_id>.jsonl), making it trivial to replay chronological agent interactions and correlate messages, tool calls, and tool outputs. This format maps directly to the Hugging Face Agent Trace Viewer, reducing preprocessing time. | ^ 5 | - Encoding of tool use and metadata: entries include user prompts, assistant messages, explicit tool calls and results, model metadata, and timestamps — enabling causal analysis of decisions and debugging of tool orchestration. 6 | - Pragmatic redaction note: ML Intern applies best-effort automated scrubbing for common token patterns (HF, OpenAI, AWS, GitHub, etc.), which lowers obvious credential leakage but does not guarantee privacy. The dataset therefore trades ease of access for the need for manual review before public sharing. More information: https://mdxjs.com/docs/troubleshooting-mdx

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