Datasets:
Add TsFile conversion preserving original repository structure
Browse files- README.md +102 -0
- data/train.tsfile +0 -0
- meta_data/episode_data_index.safetensors +3 -0
- meta_data/info.json +11 -0
- meta_data/stats.safetensors +3 -0
README.md
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---
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license: unknown
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task_categories:
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- robotics
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- time-series-forecasting
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language:
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- en
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tags:
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- lerobot
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- robotics
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- imitation-learning
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- action-state
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- tsfile
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pretty_name: koch_test TsFile
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---
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# koch_test
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This repository contains a TsFile conversion of the original Hugging Face
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dataset [`MoofireX/koch_test`](https://huggingface.co/datasets/MoofireX/koch_test).
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## Source Dataset
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The source repository contains one Parquet split and LeRobot metadata files:
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```text
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data/train-00000-of-00001.parquet
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meta_data/episode_data_index.safetensors
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meta_data/info.json
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meta_data/stats.safetensors
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```
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The converted repository keeps the same top-level structure:
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```text
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data/train.tsfile
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meta_data/episode_data_index.safetensors
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meta_data/info.json
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meta_data/stats.safetensors
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```
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## Source Schema
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The source Parquet split has 2,755 rows and 7 columns:
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| Column | Source type | Conversion |
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|---|---|---|
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| `observation.state` | fixed-size list float[6] | flattened to `state_0` ... `state_5` |
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| `action` | fixed-size list float[6] | flattened to `action_0` ... `action_5` |
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| `episode_index` | int64 | FIELD |
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| `frame_index` | int64 | FIELD |
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| `timestamp` | float | renamed to `episode_timestamp_s` FIELD |
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| `next.done` | bool | renamed to `next_done` FIELD |
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| `index` | int64 | renamed to `sample_index` FIELD |
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## Conversion Notes
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- Source format converted to TsFile: lowercase `data/train-00000-of-00001.parquet`.
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- Converted format: TsFile table model.
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- Output file: `data/train.tsfile`.
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- Table name: `koch_test`.
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- TAG column: `episode_id`, synthesized from `episode_index`.
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- Time column: synthesized from `frame_index * 100 ms`.
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- The original `timestamp` value is preserved as `episode_timestamp_s`.
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- `observation.state` and `action` are not dropped semantically; each 6-element
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vector is expanded to scalar fields because TsFile import requires scalar
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columns.
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- Row count is preserved: 2,755 source rows -> 2,755 TsFile rows.
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## Metadata
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The source `meta_data/info.json` reports:
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```json
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{
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"codebase_version": "v1.6",
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"fps": 30,
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"video": true,
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"encoding": {
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"vcodec": "libsvtav1",
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"pix_fmt": "yuv420p",
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"g": 2,
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"crf": 30
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}
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}
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```
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The `meta_data/` files are mirrored unchanged from the source repository for
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traceability. The TsFile conversion only uses the Parquet split.
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## Citation
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Please cite the original dataset:
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```bibtex
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@dataset{koch_test,
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author = {MoofireX},
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title = {koch_test},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/MoofireX/koch_test}
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}
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```
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data/train.tsfile
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Binary file (56.6 kB). View file
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meta_data/episode_data_index.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6eb05d840de327d278608b4863fd543bfc033d0c1e2cfd862df3c96551f67ea2
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size 288
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meta_data/info.json
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{
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"codebase_version": "v1.6",
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"fps": 30,
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"video": true,
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"encoding": {
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"vcodec": "libsvtav1",
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"pix_fmt": "yuv420p",
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"g": 2,
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"crf": 30
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}
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}
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meta_data/stats.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3579f7e79af71d7092c11ca29f8c84238a8b6115bf9c3684b4a3be4625176307
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size 2240
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