Upload g1_dex3_graspsquare_dataset_train.tsfile
#2
by jzpeng - opened
- .gitattributes +60 -60
- README.md +93 -0
- data/g1_dex3_graspsquare_dataset_train.tsfile +3 -0
- meta/info.json +657 -0
- meta/stats.json +629 -0
- meta/tasks.parquet +3 -0
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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authors:
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- Henry-Ellis
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- lv-1
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task_categories:
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- robotics
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tags:
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- tsfile
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- timeseries
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- tabular
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modality:
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- timeseries
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- tabular
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pretty_name: G1 Dex3 Grasp Square Dataset TsFile
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/g1_dex3_graspsquare_dataset_train.tsfile
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size_categories:
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- 100K<n<1M
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---
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# G1 Dex3 Grasp Square Dataset TsFile
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This repository is an Apache TsFile conversion of [unitreerobotics/G1_Dex3_GraspSquare_Dataset](https://huggingface.co/datasets/unitreerobotics/G1_Dex3_GraspSquare_Dataset), a LeRobot v3 robot-manipulation dataset. It contains numeric trajectories and metadata; camera videos remain in the original Hugging Face dataset.
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## Source dataset
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- Original dataset: [unitreerobotics/G1_Dex3_GraspSquare_Dataset](https://huggingface.co/datasets/unitreerobotics/G1_Dex3_GraspSquare_Dataset)
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- Original uploader/contributors: [Henry-Ellis](https://huggingface.co/Henry-Ellis) and [lv-1](https://huggingface.co/lv-1); hosted by [Unitree Robotics](https://huggingface.co/unitreerobotics).
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- License: Apache-2.0. The source card provides no paper or formal citation.
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- Task: stack three 5 cm cubic blocks from bottom to top in red, yellow, blue order on black tape.
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- Robot: 7-DOF dual-arm `Unitree_G1` with three-finger dexterous hands.
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- Sampling: 30 Hz; 301 episodes, 281,196 frames, one task, one source Parquet shard.
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- Source numeric layout: `data/chunk-000/file-000.parquet`.
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## Converted files
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- TsFile: `data/g1_dex3_graspsquare_dataset_train.tsfile`
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- Table: `g1_dex3_graspsquare_dataset_train`
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- Rows: 281,196; devices: 301 (one per `episode_index`/`task_index` TAG combination).
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- Time precision: milliseconds; `Time = round(timestamp * 1000)` and restarts at the first frame of each episode.
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- Size: source Parquet 63,247,041 bytes; flattened/staged Parquet 74,725,871 bytes; TsFile 51,443,386 bytes. The TsFile is smaller than both source and staged representations.
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## TsFile schema
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| Role | Columns | Source/type |
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| --- | --- | --- |
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| TIME | `Time` | `int64`, milliseconds from `timestamp` |
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| TAG/device | `episode_index`, `task_index` | source `int64`, stored by TsFile device/tag mechanism as string segments |
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| FIELD | `frame_index`, `sample_index` | `int64`; `sample_index` is renamed from source `index` |
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| FIELD | `observation_state_0` … `observation_state_27` | 28 FLOAT dimensions from `observation.state` |
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| FIELD | `action_0` … `action_27` | 28 FLOAT dimensions from `action` |
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Vector names retain their source prefix (`.` becomes `_`) and are flattened row-major to scalar fields. `frame_index` is preserved for video/frame alignment. The redundant source `timestamp` column is dropped after deriving `Time`; no numeric rows or vector dimensions are dropped. The four video columns are intentionally omitted from TsFile.
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### Encoding and compression
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| TsFile type | Encoding | Compression |
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| --- | --- | --- |
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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 (if present) | RLE | LZ4 |
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| TAG | TsFile device/tag mechanism | TsFile-managed |
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## Videos and frame alignment
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Videos are not copied or uploaded with this TsFile dataset. The original repository's `videos/` tree is about 9.12 GB and contains four streams:
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- [cam_left_high](https://huggingface.co/datasets/unitreerobotics/G1_Dex3_GraspSquare_Dataset/tree/main/videos/observation.images.cam_left_high)
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- [cam_right_high](https://huggingface.co/datasets/unitreerobotics/G1_Dex3_GraspSquare_Dataset/tree/main/videos/observation.images.cam_right_high)
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- [cam_left_wrist](https://huggingface.co/datasets/unitreerobotics/G1_Dex3_GraspSquare_Dataset/tree/main/videos/observation.images.cam_left_wrist)
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- [cam_right_wrist](https://huggingface.co/datasets/unitreerobotics/G1_Dex3_GraspSquare_Dataset/tree/main/videos/observation.images.cam_right_wrist)
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The source path template is `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`. Numeric rows remain frame-aligned through `episode_index` and `frame_index`, with episode metadata under `meta/episodes/`.
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## Validation
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Local validation read the TsFile with the bundled TsFile Python SDK and compared it with the staged Parquet: 281,196 metadata rows and 281,196 query rows, 301 devices, unique `(episode_index, task_index, Time)` keys, monotonic Time within each episode, and all 28 action plus 28 observation-state dimensions present. Detailed local reports are `validation_report.json` and `VALIDATION.md`.
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## Usage
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```python
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from tsfile import TsFileReader
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path = "data/g1_dex3_graspsquare_dataset_train.tsfile"
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reader = TsFileReader(path)
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table = "g1_dex3_graspsquare_dataset_train"
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columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"]
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with reader.query_table(table, columns, batch_size=65536) as result:
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batch = result.read_arrow_batch()
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print(batch.to_pandas().head())
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```
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data/g1_dex3_graspsquare_dataset_train.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:cac9f6b5b39c3beb1408df9e0e4e301971e5c09e581bc3db55bb073d6c454db4
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size 51443386
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meta/info.json
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| 1 |
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| 652 |
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"source_contributors": [
|
| 653 |
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"Henry-Ellis",
|
| 654 |
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"lv-1"
|
| 655 |
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|
| 656 |
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|
| 657 |
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}
|
meta/stats.json
ADDED
|
@@ -0,0 +1,629 @@
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| 1 |
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|
meta/tasks.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:06360066d2bc8f0264fc43cfa556840f121d7e37896a3ac3ffabf53f6f184f42
|
| 3 |
+
size 2126
|