Datasets:
Add TsFile (converted from lerobot/berkeley_cable_routing)
Browse files- .gitattributes +1 -0
- README.md +105 -0
- data/berkeley_cable_routing.tsfile +3 -0
- meta/episodes/chunk-000/file-000.parquet +3 -0
- meta/info.json +316 -0
- meta/stats.json +499 -0
- meta/tasks.parquet +3 -0
.gitattributes
CHANGED
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 58 |
# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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+
data/berkeley_cable_routing.tsfile filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,105 @@
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- LeRobot
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- tsfile
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- time-series
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- modality:timeseries
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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/berkeley_cable_routing.tsfile
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---
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# berkeley_cable_routing
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This dataset is a TsFile conversion of the Hugging Face dataset
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[`lerobot/berkeley_cable_routing`](https://huggingface.co/datasets/lerobot/berkeley_cable_routing).
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The source dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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Modalities: Time-series. The original repository also contains video streams; videos are not
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included in this converted repository.
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## Source Dataset
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- Original dataset: [`lerobot/berkeley_cable_routing`](https://huggingface.co/datasets/lerobot/berkeley_cable_routing)
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- License: `apache-2.0`
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- LeRobot codebase version: `v3.0`
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- Robot type: `unknown`
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- Task: `route cable`
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- Split: `train` (`0:1647`)
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- Source scale from `meta/info.json`: `1,647` episodes, `42,328` frames, `1` task
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- Sampling rate: `10` fps
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- Source data layout: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
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- Source video layout: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`
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## Converted Files
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- TsFile: `data/berkeley_cable_routing.tsfile`
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- Converted rows: `42,328`
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- TsFile table: `berkeley_cable_routing`
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- Time precision: milliseconds
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- TAG columns: `episode_index`, `task_index`
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The conversion follows the LeRobot v3 data path in `meta/info.json` and uses the
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`file-*.parquet` frame data layout.
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## Schema
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`Time` is synthesized as `round(timestamp * 1000)` in milliseconds. The source
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`timestamp` column is dropped because it is redundant with `Time / 1000` seconds.
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TAG columns:
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- `episode_index`
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- `task_index`
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FIELD columns:
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- `frame_index`
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- `sample_index` (renamed from source `index`)
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- `next_reward` (renamed from source `next.reward`)
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- `next_done` (renamed from source `next.done`, stored as `0/1`)
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- `observation_state_0` to `observation_state_7`
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- `action_0` to `action_6`
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Vector features are flattened by preserving the source feature name and replacing
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`.` with `_`. For example, `observation.state` becomes
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`observation_state_0` to `observation_state_7`, and `action` becomes
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`action_0` to `action_6`.
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## Video Policy
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The following source video features are not converted into TsFile and are not
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uploaded here:
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- `observation.images.top_image`
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- `observation.images.wrist225_image`
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- `observation.images.wrist45_image`
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- `observation.images.image`
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Use the original dataset for videos:
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[`lerobot/berkeley_cable_routing/videos`](https://huggingface.co/datasets/lerobot/berkeley_cable_routing/tree/main/videos).
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## Validation
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The converted TsFile was validated with the project pipeline and read back using
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the TsFile Python SDK:
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- staged Parquet rows: `42,328`
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- TsFile metadata rows: `42,328`
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- TsFile query rows: `42,328`
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## Usage
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```python
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from tsfile import TsFileReader
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path = "data/berkeley_cable_routing.tsfile"
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with TsFileReader(path) as reader:
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schemas = reader.get_all_table_schemas()
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print(schemas.keys())
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```
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data/berkeley_cable_routing.tsfile
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:27c9bbf6a9f0b08b0bf99670101ecbc356982c31c96e51dc315509426266d3ff
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size 5341009
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meta/episodes/chunk-000/file-000.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:56827e74c4f803ae6aafe54b1b10167229e6c9dd1501e547a787f2a244773915
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size 2167447
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meta/info.json
ADDED
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@@ -0,0 +1,316 @@
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| 1 |
+
{
|
| 2 |
+
"codebase_version": "v3.0",
|
| 3 |
+
"robot_type": "unknown",
|
| 4 |
+
"total_episodes": 1647,
|
| 5 |
+
"total_frames": 42328,
|
| 6 |
+
"total_tasks": 1,
|
| 7 |
+
"chunks_size": 1000,
|
| 8 |
+
"fps": 10,
|
| 9 |
+
"splits": {
|
| 10 |
+
"train": "0:1647"
|
| 11 |
+
},
|
| 12 |
+
"data_path": "data/berkeley_cable_routing.tsfile",
|
| 13 |
+
"features": {
|
| 14 |
+
"Time": {
|
| 15 |
+
"dtype": "int64",
|
| 16 |
+
"shape": [
|
| 17 |
+
1
|
| 18 |
+
],
|
| 19 |
+
"tsfile_role": "TIME",
|
| 20 |
+
"unit": "ms"
|
| 21 |
+
},
|
| 22 |
+
"episode_index": {
|
| 23 |
+
"dtype": "int64",
|
| 24 |
+
"shape": [
|
| 25 |
+
1
|
| 26 |
+
],
|
| 27 |
+
"tsfile_role": "TAG"
|
| 28 |
+
},
|
| 29 |
+
"task_index": {
|
| 30 |
+
"dtype": "int64",
|
| 31 |
+
"shape": [
|
| 32 |
+
1
|
| 33 |
+
],
|
| 34 |
+
"tsfile_role": "TAG"
|
| 35 |
+
},
|
| 36 |
+
"frame_index": {
|
| 37 |
+
"dtype": "int64",
|
| 38 |
+
"shape": [
|
| 39 |
+
1
|
| 40 |
+
],
|
| 41 |
+
"tsfile_role": "FIELD"
|
| 42 |
+
},
|
| 43 |
+
"sample_index": {
|
| 44 |
+
"dtype": "int64",
|
| 45 |
+
"shape": [
|
| 46 |
+
1
|
| 47 |
+
],
|
| 48 |
+
"tsfile_role": "FIELD"
|
| 49 |
+
},
|
| 50 |
+
"next_reward": {
|
| 51 |
+
"dtype": "float32",
|
| 52 |
+
"shape": [
|
| 53 |
+
1
|
| 54 |
+
],
|
| 55 |
+
"tsfile_role": "FIELD"
|
| 56 |
+
},
|
| 57 |
+
"next_done": {
|
| 58 |
+
"dtype": "int64",
|
| 59 |
+
"shape": [
|
| 60 |
+
1
|
| 61 |
+
],
|
| 62 |
+
"tsfile_role": "FIELD"
|
| 63 |
+
},
|
| 64 |
+
"observation_state_0": {
|
| 65 |
+
"dtype": "float32",
|
| 66 |
+
"shape": [
|
| 67 |
+
1
|
| 68 |
+
],
|
| 69 |
+
"tsfile_role": "FIELD"
|
| 70 |
+
},
|
| 71 |
+
"observation_state_1": {
|
| 72 |
+
"dtype": "float32",
|
| 73 |
+
"shape": [
|
| 74 |
+
1
|
| 75 |
+
],
|
| 76 |
+
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|
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|
| 284 |
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| 285 |
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|
| 289 |
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|
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|
| 291 |
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|
| 292 |
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| 293 |
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| 294 |
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|
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|
| 305 |
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|
| 313 |
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|
| 314 |
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"video_policy": "Videos are not uploaded to this repository; use the original HuggingFace dataset videos."
|
| 315 |
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}
|
| 316 |
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}
|
meta/stats.json
ADDED
|
@@ -0,0 +1,499 @@
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+
[
|
| 451 |
+
[
|
| 452 |
+
1.0
|
| 453 |
+
]
|
| 454 |
+
],
|
| 455 |
+
[
|
| 456 |
+
[
|
| 457 |
+
1.0
|
| 458 |
+
]
|
| 459 |
+
]
|
| 460 |
+
],
|
| 461 |
+
"mean": [
|
| 462 |
+
[
|
| 463 |
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[
|
| 464 |
+
0.38435977680614924
|
| 465 |
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]
|
| 466 |
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],
|
| 467 |
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[
|
| 468 |
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[
|
| 469 |
+
0.39638978356937893
|
| 470 |
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]
|
| 471 |
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],
|
| 472 |
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[
|
| 473 |
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[
|
| 474 |
+
0.3965126071370383
|
| 475 |
+
]
|
| 476 |
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]
|
| 477 |
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],
|
| 478 |
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"std": [
|
| 479 |
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[
|
| 480 |
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[
|
| 481 |
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0.24888551302762088
|
| 482 |
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]
|
| 483 |
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],
|
| 484 |
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[
|
| 485 |
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[
|
| 486 |
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|
| 487 |
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|
| 488 |
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],
|
| 489 |
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[
|
| 490 |
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[
|
| 491 |
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0.2392837781942899
|
| 492 |
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]
|
| 493 |
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]
|
| 494 |
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],
|
| 495 |
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"count": [
|
| 496 |
+
42327
|
| 497 |
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]
|
| 498 |
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}
|
| 499 |
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}
|
meta/tasks.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86f8fccd7efff90d518b23ac254d29b3683319f7b917763abc9e4d62e7f79f8f
|
| 3 |
+
size 2045
|