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| [[autodoc]] datasets.DatasetInfo |
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| The base class [`Dataset`] implements a Dataset backed by an Apache Arrow table. |
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| [[autodoc]] datasets.Dataset |
| - add_column |
| - add_item |
| - from_file |
| - from_buffer |
| - from_pandas |
| - from_dict |
| - from_generator |
| - data |
| - cache_files |
| - num_columns |
| - num_rows |
| - column_names |
| - shape |
| - unique |
| - flatten |
| - cast |
| - cast_column |
| - remove_columns |
| - rename_column |
| - rename_columns |
| - select_columns |
| - class_encode_column |
| - __len__ |
| - __iter__ |
| - iter |
| - formatted_as |
| - set_format |
| - set_transform |
| - reset_format |
| - with_format |
| - with_transform |
| - __getitem__ |
| - cleanup_cache_files |
| - map |
| - filter |
| - select |
| - sort |
| - shuffle |
| - train_test_split |
| - shard |
| - to_tf_dataset |
| - push_to_hub |
| - save_to_disk |
| - load_from_disk |
| - flatten_indices |
| - to_csv |
| - to_pandas |
| - to_dict |
| - to_json |
| - to_parquet |
| - to_sql |
| - to_iterable_dataset |
| - add_faiss_index |
| - add_faiss_index_from_external_arrays |
| - save_faiss_index |
| - load_faiss_index |
| - add_elasticsearch_index |
| - load_elasticsearch_index |
| - list_indexes |
| - get_index |
| - drop_index |
| - search |
| - search_batch |
| - get_nearest_examples |
| - get_nearest_examples_batch |
| - info |
| - split |
| - builder_name |
| - citation |
| - config_name |
| - dataset_size |
| - description |
| - download_checksums |
| - download_size |
| - features |
| - homepage |
| - license |
| - size_in_bytes |
| - supervised_keys |
| - version |
| - from_csv |
| - from_json |
| - from_parquet |
| - from_text |
| - from_sql |
| - prepare_for_task |
| - align_labels_with_mapping |
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| [[autodoc]] datasets.concatenate_datasets |
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| [[autodoc]] datasets.interleave_datasets |
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| [[autodoc]] datasets.distributed.split_dataset_by_node |
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| [[autodoc]] datasets.enable_caching |
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| [[autodoc]] datasets.disable_caching |
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| [[autodoc]] datasets.is_caching_enabled |
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| Dictionary with split names as keys ('train', 'test' for example), and `Dataset` objects as values. |
| It also has dataset transform methods like map or filter, to process all the splits at once. |
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| [[autodoc]] datasets.DatasetDict |
| - data |
| - cache_files |
| - num_columns |
| - num_rows |
| - column_names |
| - shape |
| - unique |
| - cleanup_cache_files |
| - map |
| - filter |
| - sort |
| - shuffle |
| - set_format |
| - reset_format |
| - formatted_as |
| - with_format |
| - with_transform |
| - flatten |
| - cast |
| - cast_column |
| - remove_columns |
| - rename_column |
| - rename_columns |
| - select_columns |
| - class_encode_column |
| - push_to_hub |
| - save_to_disk |
| - load_from_disk |
| - from_csv |
| - from_json |
| - from_parquet |
| - from_text |
| - prepare_for_task |
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| <a id='package_reference_features'></a> |
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| The base class [`IterableDataset`] implements an iterable Dataset backed by python generators. |
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| [[autodoc]] datasets.IterableDataset |
| - from_generator |
| - remove_columns |
| - select_columns |
| - cast_column |
| - cast |
| - __iter__ |
| - iter |
| - map |
| - rename_column |
| - filter |
| - shuffle |
| - skip |
| - take |
| - info |
| - split |
| - builder_name |
| - citation |
| - config_name |
| - dataset_size |
| - description |
| - download_checksums |
| - download_size |
| - features |
| - homepage |
| - license |
| - size_in_bytes |
| - supervised_keys |
| - version |
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| Dictionary with split names as keys ('train', 'test' for example), and `IterableDataset` objects as values. |
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| [[autodoc]] datasets.IterableDatasetDict |
| - map |
| - filter |
| - shuffle |
| - with_format |
| - cast |
| - cast_column |
| - remove_columns |
| - rename_column |
| - rename_columns |
| - select_columns |
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| [[autodoc]] datasets.Features |
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| [[autodoc]] datasets.Sequence |
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| [[autodoc]] datasets.ClassLabel |
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| [[autodoc]] datasets.Value |
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| [[autodoc]] datasets.Translation |
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| [[autodoc]] datasets.TranslationVariableLanguages |
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| [[autodoc]] datasets.Array2D |
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| [[autodoc]] datasets.Array3D |
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| [[autodoc]] datasets.Array4D |
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| [[autodoc]] datasets.Array5D |
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| [[autodoc]] datasets.Audio |
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| [[autodoc]] datasets.Image |
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| [[autodoc]] datasets.MetricInfo |
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| The base class `Metric` implements a Metric backed by one or several [`Dataset`]. |
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| [[autodoc]] datasets.Metric |
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| [[autodoc]] datasets.filesystems.S3FileSystem |
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| [[autodoc]] datasets.filesystems.extract_path_from_uri |
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| [[autodoc]] datasets.filesystems.is_remote_filesystem |
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| [[autodoc]] datasets.fingerprint.Hasher |
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