Datasets:

THUgewu
/

eval1_chengming

@@ -1,92 +1,93 @@
----
-pretty_name: eval1_chengming TsFile
-tags:
-- TsFile
-- time-series
-- robotics
-- LeRobot
-- SO-101
-- imitation-learning
-modality: timeseries
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/eval1_chengming.tsfile
----
-# eval1_chengming
-This dataset was converted from
-[`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
-to Apache TsFile format.
-Modalities: Time-series. The original dataset also contains a front-camera
-video stream, which remains in the source Hugging Face dataset and is not
-included in this converted repository.
-## Source Dataset
-- Original dataset: [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
-- Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
-- Robot type: `so_follower`
-- Split: `train`
-- Episodes: 60
-- Frames / TsFile rows: 13,408
-- Tasks: 3
-- Sampling rate: 15 fps
-- License metadata: not provided by the source dataset card
-- Original data path: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
-- Original video path: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`
-The episode metadata names three task variants: put the banana in the red,
-green, or blue colored bowl.
-## Files
-- `data/eval1_chengming.tsfile`: converted numeric time-series table
-- `meta/`: source metadata mirrored from the original dataset, with
-  `meta/info.json` rewritten to describe the converted TsFile layout
-Videos are not included in this repository. The original camera video stream
-`observation.images.front` remains in the source dataset under
-[`videos/`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming/tree/main/videos).
-## Schema
-The TsFile table name is `eval1_chengming`.
-- `Time`: integer timestamp in milliseconds, synthesized as `round(timestamp * 1000)`
-- TAG columns: `episode_index`, `task_index`
-- FIELD columns: `frame_index`, `sample_index`, `action_0..action_5`,
-  `observation_state_0..observation_state_5`
-The six action and observation-state dimensions use the original LeRobot joint
-order: `shoulder_pan.pos`, `shoulder_lift.pos`, `elbow_flex.pos`,
-`wrist_flex.pos`, `wrist_roll.pos`, and `gripper.pos`.
-## Conversion Notes
-- Converted with the generic `lerobot` converter in the HuggingFace-to-TsFile
-  pipeline.
-- All 60 episodes are stored in one TsFile. Use `episode_index` and
-  `task_index` as TAG filters when querying.
-- Source `action[6]` was flattened to `action_0..action_5` as FLOAT fields.
-- Source `observation.state[6]` was flattened to `observation_state_0..5` as
-  FLOAT fields.
-- Source `index` was renamed to `sample_index`.
-- Source `timestamp` is not retained as a separate field because the same
-  information is represented by `Time / 1000` seconds.
-- Source video field `observation.images.front` is omitted from this TsFile
-  conversion and remains available in the original dataset.
-- No rows were dropped.
-## Minimal Read Example
-```python
-from tsfile import TsFileReader
-reader = TsFileReader("data/eval1_chengming.tsfile")
-schemas = reader.get_all_table_schemas()
-print(schemas.keys())
-```

+---
+pretty_name: eval1_chengming TsFile
+tags:
+- tsfile
+- time-series
+- robotics
+- LeRobot
+- SO-101
+- imitation-learning
+- timeseries
+modality: timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/eval1_chengming.tsfile
+---
+# eval1_chengming
+This dataset was converted from
+[`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
+to Apache TsFile format.
+Modalities: Time-series. The original dataset also contains a front-camera
+video stream, which remains in the source Hugging Face dataset and is not
+included in this converted repository.
+## Source Dataset
+- Original dataset: [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
+- Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
+- Robot type: `so_follower`
+- Split: `train`
+- Episodes: 60
+- Frames / TsFile rows: 13,408
+- Tasks: 3
+- Sampling rate: 15 fps
+- License metadata: not provided by the source dataset card
+- Original data path: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
+- Original video path: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`
+The episode metadata names three task variants: put the banana in the red,
+green, or blue colored bowl.
+## Files
+- `data/eval1_chengming.tsfile`: converted numeric time-series table
+- `meta/`: source metadata mirrored from the original dataset, with
+  `meta/info.json` rewritten to describe the converted TsFile layout
+Videos are not included in this repository. The original camera video stream
+`observation.images.front` remains in the source dataset under
+[`videos/`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming/tree/main/videos).
+## Schema
+The TsFile table name is `eval1_chengming`.
+- `Time`: integer timestamp in milliseconds, synthesized as `round(timestamp * 1000)`
+- TAG columns: `episode_index`, `task_index`
+- FIELD columns: `frame_index`, `sample_index`, `action_0..action_5`,
+  `observation_state_0..observation_state_5`
+The six action and observation-state dimensions use the original LeRobot joint
+order: `shoulder_pan.pos`, `shoulder_lift.pos`, `elbow_flex.pos`,
+`wrist_flex.pos`, `wrist_roll.pos`, and `gripper.pos`.
+## Conversion Notes
+- Converted with the generic `lerobot` converter in the HuggingFace-to-TsFile
+  pipeline.
+- All 60 episodes are stored in one TsFile. Use `episode_index` and
+  `task_index` as TAG filters when querying.
+- Source `action[6]` was flattened to `action_0..action_5` as FLOAT fields.
+- Source `observation.state[6]` was flattened to `observation_state_0..5` as
+  FLOAT fields.
+- Source `index` was renamed to `sample_index`.
+- Source `timestamp` is not retained as a separate field because the same
+  information is represented by `Time / 1000` seconds.
+- Source video field `observation.images.front` is omitted from this TsFile
+  conversion and remains available in the original dataset.
+- No rows were dropped.
+## Minimal Read Example
+```python
+from tsfile import TsFileReader
+reader = TsFileReader("data/eval1_chengming.tsfile")
+schemas = reader.get_all_table_schemas()
+print(schemas.keys())
+```