support passing trust_remote_code to dataset loading (#2050) [skip ci]
* support passing trust_remote_code to dataset loading * add doc for trust_remote_code in dataset config
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@@ -91,6 +91,7 @@ datasets:
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name: # Optional[str] name of dataset configuration to load
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train_on_split: train # Optional[str] name of dataset split to load from
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revision: # Optional[str] The specific revision of the dataset to use when loading from the Hugging Face Hub. This can be a commit hash, tag, or branch name. If not specified, the latest version will be used. This parameter is ignored for local datasets.
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trust_remote_code: # Optional[bool] Trust remote code for untrusted source
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# Custom user instruction prompt
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- path: repo
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@@ -260,6 +260,7 @@ def load_tokenized_prepared_datasets(
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for config_dataset in for_d_in_datasets(cfg_datasets):
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ds: Optional[Union[Dataset, DatasetDict]] = None
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ds_from_hub = False
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ds_trust_remote_code = config_dataset.trust_remote_code
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try:
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# this is just a basic check to see if the path is a
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# valid HF dataset that's loadable
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@@ -269,6 +270,7 @@ def load_tokenized_prepared_datasets(
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streaming=True,
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token=use_auth_token,
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revision=config_dataset.revision,
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trust_remote_code=ds_trust_remote_code,
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)
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ds_from_hub = True
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except (FileNotFoundError, ConnectionError, HFValidationError, ValueError):
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@@ -366,7 +368,7 @@ def load_tokenized_prepared_datasets(
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elif ds_from_hub:
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load_ds_kwargs = {}
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if config_dataset.split:
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load_ds_kwargs = {"split": config_dataset.split}
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load_ds_kwargs["split"] = config_dataset.split
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ds = load_dataset(
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config_dataset.path,
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name=config_dataset.name,
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@@ -374,6 +376,7 @@ def load_tokenized_prepared_datasets(
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data_files=config_dataset.data_files,
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token=use_auth_token,
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revision=config_dataset.revision,
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trust_remote_code=config_dataset.trust_remote_code,
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**load_ds_kwargs,
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)
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elif ds_from_cloud and remote_file_system:
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@@ -391,6 +394,7 @@ def load_tokenized_prepared_datasets(
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streaming=False,
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split=None,
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storage_options=storage_options,
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trust_remote_code=config_dataset.trust_remote_code,
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)
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elif config_dataset.path.startswith("https://"):
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ds_type = get_ds_type(config_dataset)
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@@ -401,6 +405,7 @@ def load_tokenized_prepared_datasets(
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streaming=False,
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split=None,
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storage_options=storage_options,
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trust_remote_code=config_dataset.trust_remote_code,
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)
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else:
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if isinstance(config_dataset.data_files, str):
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