# fiftyone.utils.activitynet Utilities for working with the `ActivityNet dataset `. Copyright 2017-2026, Voxel51, Inc.
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**Functions:** | [`download_activitynet_split`](#fiftyone.utils.activitynet.download_activitynet_split)(dataset_dir, split) | Utility that downloads full or partial splits of the [ActivityNet dataset](http://activity-net.org/index.html). | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------| **Classes:** | [`ActivityNetDatasetImporter`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter)([dataset_dir, ...]) | Class for importing ActivityNet dataset splits downloaded via [`download_activitynet_split()`](#fiftyone.utils.activitynet.download_activitynet_split). | |--------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------| | [`ActivityNetDownloadConfig`](#fiftyone.utils.activitynet.ActivityNetDownloadConfig)(split[, ...]) | Configuration class for downloading full or partial splits from the ActivityNet dataset. | | [`ActivityNetDatasetManager`](#fiftyone.utils.activitynet.ActivityNetDatasetManager)(foz_dir, version) | Class that manages the sample IDs and labels that need to be downloaded to load the specified subset of an ActivityNet dataset. | | [`ActivityNetInfo`](#fiftyone.utils.activitynet.ActivityNetInfo)(raw_annotations) | Necessary information used to parse and format annotations. | | [`ActivityNetSplitInfo`](#fiftyone.utils.activitynet.ActivityNetSplitInfo)(split_dir[, version, ...]) | Class that contains information related to paths, labels, and sample IDs of a single ActivityNet split. | | [`ActivityNetDatasetInfo`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo)(foz_dir) | Class that stores information related to paths, labels, and sample IDs for an ActivityNet dataset download. | | [`ActivityNet100DatasetInfo`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo)(foz_dir) | ActivityNet 100 dataset info. | | [`ActivityNet200DatasetInfo`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo)(foz_dir) | ActivityNet 200 dataset info. | ### fiftyone.utils.activitynet.download_activitynet_split(dataset_dir, split, source_dir=None, classes=None, max_duration=None, copy_files=True, num_workers=None, shuffle=None, seed=None, max_samples=None, version='200') Utility that downloads full or partial splits of the [ActivityNet dataset](http://activity-net.org/index.html). * **Parameters:** * **dataset_dir** – the directory to download the dataset * **split** – the split to download. Supported values are `("train", "validation", "test")` * **source_dir** (*None*) – the directory containing the manually downloaded ActivityNet files * **classes** (*None*) – a string or list of strings specifying required classes to load. If provided, only samples containing at least one instance of a specified class will be loaded * **max_duration** (*None*) – only videos with a duration in seconds that is less than or equal to the `max_duration` will be downloaded. By default, all videos are downloaded * **copy_files** (*True*) – whether to move (False) or create copies (True) of the source files when populating `dataset_dir`. This is only relevant when a `source_dir` is provided * **num_workers** (*None*) – a suggested number of threads to use when downloading individual videos * **shuffle** (*False*) – whether to randomly shuffle the order in which samples are chosen for partial downloads * **seed** (*None*) – a random seed to use when shuffling * **max_samples** (*None*) – a maximum number of samples to load per split. If `classes` are also specified, only up to the number of samples that contain at least one specified class will be loaded. By default, all matching samples are loaded * **version** ( *"200"*) – the ActivityNet dataset version to download. The supported values are `("100", "200")` * **Returns:** - **num_samples**: the total number of downloaded videos, or `None` if everything was already downloaded - **classes**: the list of all classes, or `None` if everything was already downloaded - **did_download**: whether any content was downloaded (True) or if all necessary files were already downloaded (False) * **Return type:** a tuple of ### *class* fiftyone.utils.activitynet.ActivityNetDatasetImporter(dataset_dir=None, data_path=None, labels_path=None, classes=None, max_duration=None, compute_metadata=False, shuffle=False, seed=None, max_samples=None) Bases: [`FiftyOneTemporalDetectionDatasetImporter`](fiftyone.utils.data.importers.md#fiftyone.utils.data.importers.FiftyOneTemporalDetectionDatasetImporter) Class for importing ActivityNet dataset splits downloaded via [`download_activitynet_split()`](#fiftyone.utils.activitynet.download_activitynet_split). * **Parameters:** * **dataset_dir** (*None*) – the dataset directory * **data_path** (*None*) – an optional parameter that enables explicit control over the location of the media. Can be any of the following: - a folder name like `"data"` or `"data"/` specifying a subfolder of `dataset_dir` where the media files reside - an absolute directory path where the media files reside. In this case, the `dataset_dir` has no effect on the location of the data - a filename like `"data.json"` specifying the filename of the JSON data manifest file in `dataset_dir` - an absolute filepath specifying the location of the JSON data manifest. In this case, `dataset_dir` has no effect on the location of the data If None, this parameter will default to whichever of `data/` or `data.json` exists in the dataset directory * **labels_path** (*None*) – an optional parameter that enables explicit control over the location of the labels. Can be any of the following: - a filename like `"labels.json"` specifying the location of the labels in `dataset_dir` - an absolute filepath to the labels. In this case, `dataset_dir` has no effect on the location of the labels If None, the parameter will default to `labels.json` * **classes** (*None*) – a string or list of strings specifying required classes to load. If provided, only samples containing at least one instance of a specified class will be loaded * **max_duration** (*None*) – only videos with a duration in seconds that is less than or equal to the `max_duration` will be loaded. By default, all videos are loaded * **compute_metadata** (*False*) – whether to produce [`fiftyone.core.metadata.VideoMetadata`](fiftyone.core.metadata.md#fiftyone.core.metadata.VideoMetadata) instances for each video when importing * **shuffle** (*False*) – whether to randomly shuffle the order in which the samples are imported * **seed** (*None*) – a random seed to use when shuffling * **max_samples** (*None*) – a maximum number of samples to import. By default, all samples are imported **Attributes:** | [`has_dataset_info`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.has_dataset_info) | Whether this importer produces a dataset info dictionary. | |---------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [`frame_labels_cls`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.frame_labels_cls) | The [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) class(es) returned by this importer within the frame labels that it produces. | | [`has_video_metadata`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.has_video_metadata) | Whether this importer produces [`fiftyone.core.metadata.VideoMetadata`](fiftyone.core.metadata.md#fiftyone.core.metadata.VideoMetadata) instances for each video. | | [`label_cls`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.label_cls) | The [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) class(es) returned by this importer within the sample-level labels that it produces. | **Methods:** | [`setup`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.setup)() | Performs any necessary setup before importing the first sample in the dataset. | |---------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------| | [`get_dataset_info`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.get_dataset_info)() | Returns the dataset info for the dataset. | | [`close`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.close)(\*args) | Performs any necessary actions after the last sample has been imported. | | [`get_media_sources`](#fiftyone.utils.activitynet.ActivityNetDatasetImporter.get_media_sources)() | Returns the media-source entries the importing dataset records before any sample is added, or None. | #### *property* has_dataset_info Whether this importer produces a dataset info dictionary. #### setup() Performs any necessary setup before importing the first sample in the dataset. This method is called when the importer’s context manager interface is entered, `DatasetImporter.__enter__()`. #### get_dataset_info() Returns the dataset info for the dataset. By convention, this method should be called after all samples in the dataset have been imported. * **Returns:** a dict of dataset info #### close(\*args) Performs any necessary actions after the last sample has been imported. This method is called when the importer’s context manager interface is exited, `DatasetImporter.__exit__()`. * **Parameters:** **\*args** – the arguments to `DatasetImporter.__exit__()` #### *property* frame_labels_cls The [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) class(es) returned by this importer within the frame labels that it produces. This can be any of the following: - a [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) class. In this case, the importer is guaranteed to return frame labels of this type - a list or tuple of [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) classes. In this case, the importer can produce a single frame label field of any of these types - a dict mapping keys to [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) classes. In this case, the importer will return frame label dictionaries with keys and value-types specified by this dictionary. Not all keys need be present in each frame - `None`. In this case, the importer makes no guarantees about the frame labels that it may return #### get_media_sources() Returns the media-source entries the importing dataset records before any sample is added, or None. Only importers of media-reference-backed samples provide these; see [`fiftyone.utils.lerobot.LeRobotDatasetImporter`](fiftyone.utils.lerobot.md#fiftyone.utils.lerobot.LeRobotDatasetImporter). #### *property* has_video_metadata Whether this importer produces [`fiftyone.core.metadata.VideoMetadata`](fiftyone.core.metadata.md#fiftyone.core.metadata.VideoMetadata) instances for each video. #### *property* label_cls The [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) class(es) returned by this importer within the sample-level labels that it produces. This can be any of the following: - a [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) class. In this case, the importer is guaranteed to return sample-level labels of this type - a list or tuple of [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) classes. In this case, the importer can produce a single sample-level label field of any of these types - a dict mapping keys to [`fiftyone.core.labels.Label`](fiftyone.core.labels.md#fiftyone.core.labels.Label) classes. In this case, the importer will return sample-level label dictionaries with keys and value-types specified by this dictionary. Not all keys need be present in the imported labels - `None`. In this case, the importer makes no guarantees about the sample-level labels that it may return ### *class* fiftyone.utils.activitynet.ActivityNetDownloadConfig(split, source_dir=None, classes=None, max_duration=None, copy_files=True, num_workers=None, shuffle=None, seed=None, max_samples=None) Bases: `object` Configuration class for downloading full or partial splits from the ActivityNet dataset. **Attributes:** | [`load_entire_split`](#fiftyone.utils.activitynet.ActivityNetDownloadConfig.load_entire_split) | | |--------------------------------------------------------------------------------------------------|----| **Methods:** | [`validate`](#fiftyone.utils.activitynet.ActivityNetDownloadConfig.validate)() | | |----------------------------------------------------------------------------------------------------------|----| | [`validate_split`](#fiftyone.utils.activitynet.ActivityNetDownloadConfig.validate_split)() | | | [`validate_max_duration`](#fiftyone.utils.activitynet.ActivityNetDownloadConfig.validate_max_duration)() | | #### *property* load_entire_split #### validate() #### validate_split() #### validate_max_duration() ### *class* fiftyone.utils.activitynet.ActivityNetDatasetManager(foz_dir, version) Bases: `object` Class that manages the sample IDs and labels that need to be downloaded to load the specified subset of an ActivityNet dataset. **Attributes:** | [`info`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.info) | | |------------------------------------------------------------------------------------|----| | [`all_classes`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.all_classes) | | **Methods:** | [`existing_split_sample_ids`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.existing_split_sample_ids)(split) | | |--------------------------------------------------------------------------------------------------------------------------|----| | [`split_sample_ids`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.split_sample_ids)(split) | | | [`process_source`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.process_source)(source_dir, copy_files) | | | [`download_necessary_samples`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.download_necessary_samples)(config) | | | [`write_data_json`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.write_data_json)(split) | | | [`from_dataset_dir`](#fiftyone.utils.activitynet.ActivityNetDatasetManager.from_dataset_dir)(dataset_dir, version) | | #### *property* info #### *property* all_classes #### existing_split_sample_ids(split) #### split_sample_ids(split) #### process_source(source_dir, copy_files) #### download_necessary_samples(config) #### write_data_json(split) #### *classmethod* from_dataset_dir(dataset_dir, version) ### *class* fiftyone.utils.activitynet.ActivityNetInfo(raw_annotations) Bases: `object` Necessary information used to parse and format annotations. **Methods:** | [`get_matching_samples`](#fiftyone.utils.activitynet.ActivityNetInfo.get_matching_samples)([split, max_duration, ...]) | | |--------------------------------------------------------------------------------------------------------------------------|----| | [`format_annotations`](#fiftyone.utils.activitynet.ActivityNetInfo.format_annotations)(sample_ids[, split]) | | #### get_matching_samples(split=None, max_duration=None, classes=None, ids=None) #### format_annotations(sample_ids, split=None) ### *class* fiftyone.utils.activitynet.ActivityNetSplitInfo(split_dir, version=None, raw_annotations=None) Bases: [`ActivityNetInfo`](#fiftyone.utils.activitynet.ActivityNetInfo) Class that contains information related to paths, labels, and sample IDs of a single ActivityNet split. **Attributes:** | [`raw_anno_path`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.raw_anno_path) | | |-------------------------------------------------------------------------------------|----| | [`data_dir`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.data_dir) | | | [`data_json_path`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.data_json_path) | | | [`error_path`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.error_path) | | **Methods:** | [`update_existing_sample_ids`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.update_existing_sample_ids)() | | |-----------------------------------------------------------------------------------------------------------------------------|----| | [`cleanup`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.cleanup)() | | | [`format_annotations`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.format_annotations)(sample_ids[, split]) | | | [`get_matching_samples`](#fiftyone.utils.activitynet.ActivityNetSplitInfo.get_matching_samples)([split, max_duration, ...]) | | #### *property* raw_anno_path #### *property* data_dir #### *property* data_json_path #### *property* error_path #### update_existing_sample_ids() #### cleanup() #### format_annotations(sample_ids, split=None) #### get_matching_samples(split=None, max_duration=None, classes=None, ids=None) ### *class* fiftyone.utils.activitynet.ActivityNetDatasetInfo(foz_dir) Bases: [`ActivityNetInfo`](#fiftyone.utils.activitynet.ActivityNetInfo) Class that stores information related to paths, labels, and sample IDs for an ActivityNet dataset download. **Methods:** | [`split_info`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.split_info)(split) | | |-------------------------------------------------------------------------------------------------------------------------------|----| | [`split_sample_ids`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.split_sample_ids)(split) | | | [`existing_split_sample_ids`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.existing_split_sample_ids)(split) | | | [`split_dir`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.split_dir)(split) | | | [`data_dir`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.data_dir)(split) | | | [`data_json_path`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.data_json_path)(split) | | | [`error_path`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.error_path)(split) | | | [`update_existing_sample_ids`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.update_existing_sample_ids)() | | | [`cleanup_split`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.cleanup_split)(split) | | | [`get_dir_info`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.get_dir_info)(dataset_dir) | | | [`get_sample_split`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.get_sample_split)(sample_id) | | | [`get_sample_dataset_version`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.get_sample_dataset_version)(sample_id) | | | [`format_annotations`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.format_annotations)(sample_ids[, split]) | | | [`get_matching_samples`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.get_matching_samples)([split, max_duration, ...]) | | **Attributes:** | [`splits`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.splits) | | |-------------------------------------------------------------------------------------|----| | [`version`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.version) | | | [`dataset_dir`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.dataset_dir) | | | [`raw_anno_path`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo.raw_anno_path) | | #### split_info(split) #### *property* splits #### *property* version #### *property* dataset_dir #### *property* raw_anno_path #### split_sample_ids(split) #### existing_split_sample_ids(split) #### split_dir(split) #### data_dir(split) #### data_json_path(split) #### error_path(split) #### update_existing_sample_ids() #### cleanup_split(split) #### *classmethod* get_dir_info(dataset_dir) #### get_sample_split(sample_id) #### get_sample_dataset_version(sample_id) #### format_annotations(sample_ids, split=None) #### get_matching_samples(split=None, max_duration=None, classes=None, ids=None) ### *class* fiftyone.utils.activitynet.ActivityNet100DatasetInfo(foz_dir) Bases: [`ActivityNetDatasetInfo`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo) ActivityNet 100 dataset info. **Attributes:** | [`version`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.version) | | |----------------------------------------------------------------------------------------|----| | [`dataset_dir`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.dataset_dir) | | | [`raw_anno_path`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.raw_anno_path) | | | [`splits`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.splits) | | **Methods:** | [`get_sample_dataset_version`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.get_sample_dataset_version)(sample_id) | | |----------------------------------------------------------------------------------------------------------------------------------|----| | [`update_existing_sample_ids`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.update_existing_sample_ids)() | | | [`cleanup_split`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.cleanup_split)(split) | | | [`data_dir`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.data_dir)(split) | | | [`data_json_path`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.data_json_path)(split) | | | [`error_path`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.error_path)(split) | | | [`existing_split_sample_ids`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.existing_split_sample_ids)(split) | | | [`format_annotations`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.format_annotations)(sample_ids[, split]) | | | [`get_dir_info`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.get_dir_info)(dataset_dir) | | | [`get_matching_samples`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.get_matching_samples)([split, max_duration, ...]) | | | [`get_sample_split`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.get_sample_split)(sample_id) | | | [`split_dir`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.split_dir)(split) | | | [`split_info`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.split_info)(split) | | | [`split_sample_ids`](#fiftyone.utils.activitynet.ActivityNet100DatasetInfo.split_sample_ids)(split) | | #### *property* version #### get_sample_dataset_version(sample_id) #### update_existing_sample_ids() #### cleanup_split(split) #### data_dir(split) #### data_json_path(split) #### *property* dataset_dir #### error_path(split) #### existing_split_sample_ids(split) #### format_annotations(sample_ids, split=None) #### *classmethod* get_dir_info(dataset_dir) #### get_matching_samples(split=None, max_duration=None, classes=None, ids=None) #### get_sample_split(sample_id) #### *property* raw_anno_path #### split_dir(split) #### split_info(split) #### split_sample_ids(split) #### *property* splits ### *class* fiftyone.utils.activitynet.ActivityNet200DatasetInfo(foz_dir) Bases: [`ActivityNetDatasetInfo`](#fiftyone.utils.activitynet.ActivityNetDatasetInfo) ActivityNet 200 dataset info. **Attributes:** | [`version`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.version) | | |----------------------------------------------------------------------------------------|----| | [`dataset_dir`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.dataset_dir) | | | [`raw_anno_path`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.raw_anno_path) | | | [`splits`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.splits) | | **Methods:** | [`get_sample_dataset_version`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.get_sample_dataset_version)(sample_id) | | |----------------------------------------------------------------------------------------------------------------------------------|----| | [`update_existing_sample_ids`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.update_existing_sample_ids)() | | | [`cleanup_split`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.cleanup_split)(split) | | | [`data_dir`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.data_dir)(split) | | | [`data_json_path`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.data_json_path)(split) | | | [`error_path`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.error_path)(split) | | | [`existing_split_sample_ids`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.existing_split_sample_ids)(split) | | | [`format_annotations`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.format_annotations)(sample_ids[, split]) | | | [`get_dir_info`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.get_dir_info)(dataset_dir) | | | [`get_matching_samples`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.get_matching_samples)([split, max_duration, ...]) | | | [`get_sample_split`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.get_sample_split)(sample_id) | | | [`split_dir`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.split_dir)(split) | | | [`split_info`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.split_info)(split) | | | [`split_sample_ids`](#fiftyone.utils.activitynet.ActivityNet200DatasetInfo.split_sample_ids)(split) | | #### *property* version #### get_sample_dataset_version(sample_id) #### update_existing_sample_ids() #### cleanup_split(split) #### data_dir(split) #### data_json_path(split) #### *property* dataset_dir #### error_path(split) #### existing_split_sample_ids(split) #### format_annotations(sample_ids, split=None) #### *classmethod* get_dir_info(dataset_dir) #### get_matching_samples(split=None, max_duration=None, classes=None, ids=None) #### get_sample_split(sample_id) #### *property* raw_anno_path #### split_dir(split) #### split_info(split) #### split_sample_ids(split) #### *property* splits