ignore_verifications: bool = False, keep_in_memory: Optional[bool] = None, save_infos: bool = False, revision: Optional[Union[str, Version]] = None, use_auth_token: Optional[Union[bool, str]] = None, task: Optional[Union[str, TaskTemplate]] = None, streaming: bool = False, **conf...
示例代码如下:只需要设置streaming= True 即可,这个load上来的数据是一个可迭代对象,你之后的处理与前面介绍的一样,因为我们也没有那么大数据量的需求,就不详细介绍了,有需要的老大们看教程。 pubmed_dataset_streamed = load_dataset( "json" , data_files=data_files, split= "train" , streaming= True ) ...
)defload_parquet_dataset(shard_filepaths):# Load the dataset as an IterableDatasetreturnload_dataset("parquet",data_files={split:shard_filepaths},streaming=True,split=split, )defload_arrow_dataset(shard_filepaths):# Load the dataset as an IterableDatasetshard_filepaths=[f+"/data-00000-of-000...
I would imagine that something like (Streaming true or false): d = load_dataset("new_dataset.py", storage_options=storage_options, split="train") would work with # new_dataset.py ... _URL="abfs://container/image_folder``` archive_path = dl_manager.download(_URL) split_metadata_paths...
2538 ) 2540 # Return iterable dataset in case of streaming 2541 if streaming: File ~/miniconda3/envs/pytr/lib/python3.9/site-packages/datasets/load.py:2195, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, us...
Wählen Sie unter New streaming datasetdie Kachel API und dann Next. Schalten Sie im neuen Fenster Historische Datenanalyse ein. Geben Sie die folgenden Werte ein und wählen Sie dann Erstellen. Name des Datensatzes: „Dataflow-Überwachung“. Wert: „Dataflowname“, Datentyp: Text. Wert...
示例代码如下:只需要设置streaming= True 即可,这个load上来的数据是一个可迭代对象,你之后的处理与前面介绍的一样,因为我们也没有那么大数据量的需求,就不详细介绍了,有需要的老大们看教程。 pubmed_dataset_streamed = load_dataset( "json" , data_files=data_files, split= "train" , streaming= True ) ...
(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs) 1688 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES 1690 # Download ...
datasets/load.py:2136, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_...