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Browse files- README.md +23 -10
- long_cable_insertion_2_raw_plus_dagger2x.yaml +11 -2
README.md
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@@ -79,11 +79,23 @@ episode devices.
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- TsFile: `data/long_cable_insertion_2_raw_plus_dagger2x_train.tsfile`
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- Table: `long_cable_insertion_2_raw_plus_dagger2x_train`
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- Rows: 70,596
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- TsFile size:
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- Time precision: milliseconds
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- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten
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to document the TsFile schema, source revision, conversion mapping, and video
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policy.
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## TsFile Schema
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## Conversion Notes
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- The shared config-driven `lerobot` converter is used
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Python file is a thin local orchestration
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- All 538 source frame Parquet files in the train split are merged into one
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table-model TsFile. Filter by `episode_index` and `task_index` to select a
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trajectory or routing subtask.
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## Validation
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The generated TsFile is checked for successful
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size, table schema, and row-count equality with the staged Parquet. The
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and validated row count is 70,596; the source contains no duplicate
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`(episode_index, task_index, Time)` keys after millisecond conversion.
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## Minimal Read Example
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- TsFile: `data/long_cable_insertion_2_raw_plus_dagger2x_train.tsfile`
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- Table: `long_cable_insertion_2_raw_plus_dagger2x_train`
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- Rows: 70,596
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- TsFile size: 10.93 MiB
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- Time precision: milliseconds
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- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten
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to document the TsFile schema, source revision, conversion mapping, and video
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policy.
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## Compact Encoding Profile
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The TsFile is written with the native table writer and the following explicit
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type-aware encodings to keep the binary smaller than the source frame Parquet:
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- `FLOAT`, `DOUBLE`: `GORILLA` + `LZ4`
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- `INT32`, `INT64`: `TS_2DIFF` + `LZ4`
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- `Time`: `TS_2DIFF` + `LZ4`
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- `BOOLEAN`: `RLE` + `LZ4` (no BOOLEAN FIELD occurs in this dataset)
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- `TAG`: TsFile table TAG/device segments; tag values are not duplicated as
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ordinary FIELD measurements
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## TsFile Schema
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## Conversion Notes
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- The shared config-driven `lerobot` converter is used with its native Python
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table writer; the dataset-specific Python file is a thin local orchestration
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and documentation entry point.
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- All 538 source frame Parquet files in the train split are merged into one
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table-model TsFile. Filter by `episode_index` and `task_index` to select a
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trajectory or routing subtask.
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## Validation
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The generated TsFile is checked for successful native-writer completion,
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non-zero size, table schema, and row-count equality with the staged Parquet. The
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expected and validated row count is 70,596; the source contains no duplicate
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`(episode_index, task_index, Time)` keys after millisecond conversion.
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## Minimal Read Example
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long_cable_insertion_2_raw_plus_dagger2x.yaml
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fps: 50
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table_name: "long_cable_insertion_2_raw_plus_dagger2x"
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stream_staging: false
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upload:
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mode: "single"
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repo_id: "jzpeng/
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attribution:
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original_url: "https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x"
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source_dir: "D:/code/py/LongCableInsertion2_raw_plus_dagger2x"
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output_dir: "D:/code/py/LongCableInsertion2_raw_plus_dagger2x_after"
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workdir: "D:/code/workdir/long_cable_insertion_2_raw_plus_dagger2x"
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fps: 50
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table_name: "long_cable_insertion_2_raw_plus_dagger2x"
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stream_staging: false
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# Native TsFile table writer with explicit compact encodings.
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tsfile_writer: "python"
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encoding_profile:
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float: "GORILLA + LZ4"
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double: "GORILLA + LZ4"
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int32: "TS_2DIFF + LZ4"
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int64: "TS_2DIFF + LZ4"
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time: "TS_2DIFF + LZ4"
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boolean: "RLE + LZ4"
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tag: "TsFile table TAG/device mechanism"
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upload:
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mode: "single"
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repo_id: "jzpeng/long_cable_insertion_2_raw_plus_dagger2x"
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attribution:
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original_url: "https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x"
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source_dir: "D:/code/py/LongCableInsertion2_raw_plus_dagger2x"
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output_dir: "D:/code/py/LongCableInsertion2_raw_plus_dagger2x_after"
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workdir: "D:/code/workdir/long_cable_insertion_2_raw_plus_dagger2x"
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