* Replace standalone Studio wording with Unsloth Replace the single word Studio with Unsloth wherever it is used as shorthand for Unsloth Studio in docs, CLI output, UI strings, i18n locales, workflow display names, comments and docstrings. Kept unchanged: the full name Unsloth Studio, third party product names (LM Studio, Visual Studio, Mac Studio), feature names (Recipe Studio, Fine-tuning Studio and its translations), and all identifiers such as env vars, commands, paths and filenames. * Address review feedback on the Studio wording rename Use "an" before Unsloth where the rename left the article as "a". Restore the split brand where Unsloth and Studio render as two halves of the full product name: the onboarding sidebar subtitle and the IPv6 localhost warning. Scope two messages to the full name Unsloth Studio where plain Unsloth was misleading: the AMD README bullet and the CLI studio setup error.
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""Permission-safe wrapper around datasets.load_dataset.
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A shared HF datasets cache can contain subtrees owned by another user (for
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example populated by an earlier root-run job). datasets then raises
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"[Errno 13] Permission denied: ..._builder.lock" while locking the cached
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builder, killing the training run even though the dataset itself is fine.
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Retry such loads in an Unsloth-owned cache so the run proceeds; the worst case
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is one rebuild of the dataset in the fallback location.
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"""
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import logging
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import os
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from utils.paths.storage_roots import cache_root
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logger = logging.getLogger(__name__)
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def studio_datasets_cache() -> str:
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path = cache_root() / "hf-datasets"
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path.mkdir(parents = True, exist_ok = True)
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return str(path)
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def load_dataset_cache_safe(*args, **kwargs):
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"""datasets.load_dataset, retried in an Unsloth-owned cache on EACCES."""
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from datasets import load_dataset
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try:
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return load_dataset(*args, **kwargs)
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except PermissionError as error:
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fallback = studio_datasets_cache()
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logger.warning(
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"HF datasets cache is not writable (%s); rebuilding in %s",
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error,
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fallback,
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)
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kwargs["cache_dir"] = fallback
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# Nested builders consult the env var while the load runs; restore it
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# after so other datasets keep trying the shared cache first.
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old_env = os.environ.get("HF_DATASETS_CACHE")
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os.environ["HF_DATASETS_CACHE"] = fallback
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try:
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return load_dataset(*args, **kwargs)
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finally:
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if old_env is None:
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os.environ.pop("HF_DATASETS_CACHE", None)
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else:
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os.environ["HF_DATASETS_CACHE"] = old_env
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