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d1b1c5c8cf |
@@ -275,7 +275,7 @@ A converter aggregates per‑episode files into larger shards and writes episode
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pip install "https://github.com/huggingface/lerobot/archive/33cad37054c2b594ceba57463e8f11ee374fa93c.zip"
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# Convert an existing v2.1 dataset hosted on the Hub:
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python -m lerobot.datasets.v30.convert_dataset_v21_to_v30 --repo-id=<HF_USER/DATASET_ID>
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python -m lerobot.scripts.convert_dataset_v21_to_v30 --repo-id=<HF_USER/DATASET_ID>
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```
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**What it does**
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@@ -238,7 +238,7 @@ your dataset has not been converted with quantile statistics, you can add them
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with:
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```bash
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python src/lerobot/datasets/v30/augment_dataset_quantile_stats.py \
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python src/lerobot/scripts/augment_dataset_quantile_stats.py \
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--repo-id=your_dataset
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```
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@@ -91,7 +91,7 @@ lerobot-train \
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If your dataset is not converted with `quantiles`, you can convert it with the following command:
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```bash
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python src/lerobot/datasets/v30/augment_dataset_quantile_stats.py \
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python src/lerobot/scripts/augment_dataset_quantile_stats.py \
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--repo-id=your_dataset \
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```
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@@ -300,7 +300,7 @@ This replaces the old episode-per-file structure with efficient, optimally-sized
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If you have existing datasets in v2.1 format, use the migration tool:
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```bash
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python src/lerobot/datasets/v30/convert_dataset_v21_to_v30.py \
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python src/lerobot/scripts/convert_dataset_v21_to_v30.py \
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--repo-id your_id/existing_dataset
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```
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