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feat(data): add recipe-driven language supervision
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@@ -25,7 +25,7 @@ from datasets import Dataset # noqa: E402
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from lerobot.datasets.io_utils import (
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hf_transform_to_torch,
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)
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from lerobot.datasets.sampler import EpisodeAwareSampler
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from lerobot.datasets.sampler import EpisodeAwareSampler, compute_sampler_state
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def calculate_episode_data_index(hf_dataset: Dataset) -> dict[str, torch.Tensor]:
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@@ -154,8 +154,6 @@ def test_partial_episode_drop_warns(caplog):
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# --- seeded (seed, epoch) shuffling, resume, and state ---
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from lerobot.datasets.sampler import compute_sampler_state # noqa: E402
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EPISODE_BOUNDS = ([0, 2, 3], [2, 3, 6]) # episodes of 2, 1 and 3 frames
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