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Extract explicit Parquet payload fields and keep dataset interpretation separate - #31
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Move the Unreleased entries into 0.2.0, add #31's removal of the LeRobot conversion and its Parquet extraction, and record 0.1.5 (tagged without a changelog section): BRCD naming, the descriptor budget and its alias removal, the catalog traversal index. Claude-Session: https://claude.ai/code/session_0161tm26fGeWCitPobobqEeE Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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Extract explicitly selected Parquet binary columns or struct leaves into Blob Packs with
blobpack convert-parquetandblobpack.parquet.convert. Keep other table values, struct siblings, nulls and payload bytes intact. No media column, episode boundary or clock is inferred.Examples:
Column names are literal, including dots. Output contains
tables/,media/andextraction.json. The receipt archives original Arrow schemas; HF/Pandas schema metadata is omitted from rewritten tables because it describes a different physical representation. Other schema metadata is retained. The converter reads batches, requires a new disjoint destination, and cleans failed output. It does not follow external image paths or copy non-Parquet files.Keep dataset interpretation in Epishelf's common conversion path. Remove blobpack's dataset-specific LeRobot conversion and video splitting; generic Parquet and Lance extraction operate on user-selected payloads. Epishelf conversion writes its own episode/stream BRCD schema, while column extraction preserves the selected table's structure.
Based on main; README changes are limited to the conversion commands. Validation: make check and 149 tests passed, including extraction, struct/null preservation, empty tables, relocation, explicit CLI selection and failure cleanup.
Local codex review found and verified a fix for required binary children under nullable structs; the follow-up review found no actionable defects.