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Update dataset card for public access

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  1. README.md +3 -3
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@@ -22,15 +22,15 @@ The first batch is dated 2026-10-06. Sources are local Codex JSONL sessions, loc
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  ## Storage and provenance
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- This repository is private. JSONL payloads, compressed where practical, live under `data/batches/<batch-id>/`; manifests record source counts, redactions, byte sizes and SHA-256 checksums. Each row records its source, model when available, source session/trace identity, selection rule, schema version and stable content hash. Sources remain distinguishable for later deduplication.
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  Local rows contain `records`; relay rows contain `payload.request_messages` and an optional `payload.response_body`. Tool arguments and results retain their native text structure. The schemas are intentionally marked as staging rather than a unified training format.
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  ## Data handling
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- Automatic redaction removes recognizable tokens, private keys, authorization headers, secret assignments, known credentials, email addresses and IP literals. Personal home-directory components are normalized. Automatic redaction is best effort and requires further review before broader sharing or training. Overlapping histories and cross-source duplicates require additional curation. A source inspection or tool result does not establish task success.
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- No public redistribution or training license is assigned in this initial private collection. Original third-party content retains its own applicable rights.
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  ## Future batches
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  ## Storage and provenance
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+ This repository is public. JSONL payloads, compressed where practical, live under `data/batches/<batch-id>/`; manifests record source counts, redactions, byte sizes and SHA-256 checksums. Each row records its source, model when available, source session/trace identity, selection rule, schema version and stable content hash. Sources remain distinguishable for later deduplication.
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  Local rows contain `records`; relay rows contain `payload.request_messages` and an optional `payload.response_body`. Tool arguments and results retain their native text structure. The schemas are intentionally marked as staging rather than a unified training format.
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  ## Data handling
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+ Automatic redaction removes recognizable tokens, private keys, authorization headers, secret assignments, known credentials, email addresses and IP literals. Personal home-directory components are normalized. Automatic redaction is best effort and requires further review before training. Overlapping histories and cross-source duplicates require additional curation. A source inspection or tool result does not establish task success.
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+ No public redistribution or training license is assigned in this initial collection. Original third-party content retains its own applicable rights.
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  ## Future batches
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