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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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-
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- # koch_test
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-
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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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-
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- ## Source Dataset
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-
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- The source repository contains one Parquet split and LeRobot metadata files:
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-
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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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-
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- The converted repository keeps the same top-level structure:
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-
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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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-
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- ## Source Schema
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-
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- The source Parquet split has 2,755 rows and 7 columns:
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-
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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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-
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- ## Conversion Notes
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-
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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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-
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- ## Metadata
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-
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- The source `meta_data/info.json` reports:
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-
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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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-
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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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-
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- ## Citation
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-
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- Please cite the original dataset:
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-
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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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+ ---
2
+ license: unknown
3
+ task_categories:
4
+ - robotics
5
+ - time-series-forecasting
6
+ language:
7
+ - en
8
+ tags:
9
+ - lerobot
10
+ - robotics
11
+ - imitation-learning
12
+ - action-state
13
+ - tsfile
14
+ - timeseries
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+ pretty_name: koch_test TsFile
16
+ ---
17
+
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+ # koch_test
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+
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+ This repository contains a TsFile conversion of the original Hugging Face
21
+ dataset [`MoofireX/koch_test`](https://huggingface.co/datasets/MoofireX/koch_test).
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+
23
+ ## Source Dataset
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+
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+ The source repository contains one Parquet split and LeRobot metadata files:
26
+
27
+ ```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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+
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+ The converted repository keeps the same top-level structure:
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+
36
+ ```text
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+ data/train.tsfile
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+ meta_data/episode_data_index.safetensors
39
+ meta_data/info.json
40
+ meta_data/stats.safetensors
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+ ```
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+
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+ ## Source Schema
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+
45
+ The source Parquet split has 2,755 rows and 7 columns:
46
+
47
+ | Column | Source type | Conversion |
48
+ |---|---|---|
49
+ | `observation.state` | fixed-size list float[6] | flattened to `state_0` ... `state_5` |
50
+ | `action` | fixed-size list float[6] | flattened to `action_0` ... `action_5` |
51
+ | `episode_index` | int64 | FIELD |
52
+ | `frame_index` | int64 | FIELD |
53
+ | `timestamp` | float | renamed to `episode_timestamp_s` FIELD |
54
+ | `next.done` | bool | renamed to `next_done` FIELD |
55
+ | `index` | int64 | renamed to `sample_index` FIELD |
56
+
57
+ ## Conversion Notes
58
+
59
+ - Source format converted to TsFile: lowercase `data/train-00000-of-00001.parquet`.
60
+ - Converted format: TsFile table model.
61
+ - Output file: `data/train.tsfile`.
62
+ - Table name: `koch_test`.
63
+ - TAG column: `episode_id`, synthesized from `episode_index`.
64
+ - Time column: synthesized from `frame_index * 100 ms`.
65
+ - The original `timestamp` value is preserved as `episode_timestamp_s`.
66
+ - `observation.state` and `action` are not dropped semantically; each 6-element
67
+ vector is expanded to scalar fields because TsFile import requires scalar
68
+ columns.
69
+ - Row count is preserved: 2,755 source rows -> 2,755 TsFile rows.
70
+
71
+ ## Metadata
72
+
73
+ The source `meta_data/info.json` reports:
74
+
75
+ ```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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+
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+ The `meta_data/` files are mirrored unchanged from the source repository for
90
+ traceability. The TsFile conversion only uses the Parquet split.
91
+
92
+ ## Citation
93
+
94
+ Please cite the original dataset:
95
+
96
+ ```bibtex
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+ @dataset{koch_test,
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+ author = {MoofireX},
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+ title = {koch_test},
100
+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/MoofireX/koch_test}
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+ }
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+ ```