zhipeng tang

In fact,You can use a hard link instead of a symbolic link.Hard link works

Additionally, it can automatically pad dataset dimensions to a specified size, which is very useful for data alignment when training with multiple datasets, such as pi0.

### Fixed code style issues to meet linter requirements This commit fixes 8 linter warnings in the merge.py file, including: **1** Added contextlib import and used contextlib.suppress instead of the...

> what will happen if I put all episode of different datasets in same folder, why would I need this feature can you explain to me please **1**、To save your...

this is the function of VQVAE

Hello, I also struggled with this issue for a long time, but I've resolved it. The solution is efficient and verified to work correctly. You can use the merge.py script...

Hello, I also struggled with this issue for a long time, but I've resolved it. The solution is efficient and verified to work correctly. You can use the merge.py script...

> Hello, the MultiLeRobotDataset is very useful for training on large amounts of data; without it, training complex tasks would be difficult. However, I noticed that after the Simplify configs([#550](https://github.com/huggingface/lerobot/pull/550))...

Now you only need to merge different datasets into a single directory, and it also supports padding of custom lengths.It automatically divides and organizes tasks, task_index, episodes, index, and frame_index.

> > Now you only need to merge different datasets into a single directory, and it also supports padding of custom lengths.It automatically divides and organizes tasks, task_index, episodes, index,...