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feat(dependencies): minimal default tag install (#3362)

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Steven Palma
2026-04-12 20:03:04 +02:00
committed by GitHub
parent 4d2361ef71
commit df0763a2bc
343 changed files with 3248 additions and 1930 deletions
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docs/source/lerobot-dataset-v3.mdx
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@@ -89,7 +89,7 @@ A core v3 principle is **decoupling storage from the user API**: data is stored
```python
import torch
from lerobot.datasets.lerobot_dataset import LeRobotDataset
from lerobot.datasets import LeRobotDataset
repo_id = "yaak-ai/L2D-v3"
@@ -135,7 +135,7 @@ for batch in data_loader:
Use `StreamingLeRobotDataset` to iterate directly from the Hub without local copies. This allows to stream large datasets without the need to downloading them onto disk or loading them onto memory, and is a key feature of the new dataset format.
```python
from lerobot.datasets.streaming_dataset import StreamingLeRobotDataset
from lerobot.datasets import StreamingLeRobotDataset
repo_id = "yaak-ai/L2D-v3"
dataset = StreamingLeRobotDataset(repo_id) # streams directly from the Hub
@@ -167,8 +167,8 @@ Currently, transforms are applied during **training time only**, not during reco
Use the `image_transforms` parameter when loading a dataset for training:
```python
from lerobot.datasets.lerobot_dataset import LeRobotDataset
from lerobot.datasets.transforms import ImageTransforms, ImageTransformsConfig, ImageTransformConfig
from lerobot.datasets import LeRobotDataset
from lerobot.transforms import ImageTransforms, ImageTransformsConfig, ImageTransformConfig
# Option 1: Use default transform configuration (disabled by default)
transforms_config = ImageTransformsConfig(
@@ -290,7 +290,7 @@ python -m lerobot.datasets.v30.convert_dataset_v21_to_v30 --repo-id=<HF_USER/DAT
When creating or recording datasets, you **must** call `dataset.finalize()` to properly close parquet writers. See the [PR #1903](https://github.com/huggingface/lerobot/pull/1903) for more details.
```python
from lerobot.datasets.lerobot_dataset import LeRobotDataset
from lerobot.datasets import LeRobotDataset
# Create dataset and record episodes
dataset = LeRobotDataset.create(...)