From 5594eba06a5fd325798380ef90759355ec02283d Mon Sep 17 00:00:00 2001 From: Old-Ding <35417409+Old-Ding@users.noreply.github.com> Date: Wed, 29 Jul 2026 22:23:01 +0800 Subject: [PATCH] docs: fix repeated word in backward compatibility guide (#3938) Generated-by: OpenAI Codex Signed-off-by: aineoae86-sys Co-authored-by: aineoae86-sys Co-authored-by: Steven Palma --- docs/source/backwardcomp.mdx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/backwardcomp.mdx b/docs/source/backwardcomp.mdx index a83ee2e2e..e42099814 100644 --- a/docs/source/backwardcomp.mdx +++ b/docs/source/backwardcomp.mdx @@ -58,7 +58,7 @@ final_action = postprocessor(action) ## Hardware API redesign -PR [#777](https://github.com/huggingface/lerobot/pull/777) improves the LeRobot calibration but is **not backward-compatible**. Below is a overview of what changed and how you can continue to work with datasets created before this pull request. +PR [#777](https://github.com/huggingface/lerobot/pull/777) improves the LeRobot calibration but is **not backward-compatible**. Below is an overview of what changed and how you can continue to work with datasets created before this pull request. ### What changed? @@ -129,8 +129,8 @@ python examples/backward_compatibility/replay.py \ Policies output actions in the same format as the datasets (`torch.Tensors`). Therefore, the same transformations should be applied. -To find these transformations, we recommend to first try and and replay an episode of the dataset your policy was trained on using the section above. -Then, add these same transformations on your inference script (shown here in the `record.py` script): +To find these transformations, we recommend first replaying an episode of the dataset your policy was trained on using the section above. +Then, add these same transformations to your inference script (shown here in the `record.py` script): ```diff action_values = predict_action(