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import os |
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import datasets |
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from glob import glob |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """ |
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""" |
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_DESCRIPTION = """ |
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""" |
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_HOMEPAGE = "https://how2sign.github.io/index.html" |
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_REPO_URL = "https://huggingface.co/datasets/VieSignLang/how2sign-clips/resolve/main" |
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_URLS = { |
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"meta": os.path.join(_REPO_URL, "how2sign_realigned_{split}.csv"), |
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"videos": os.path.join(_REPO_URL, "{split}_{subset}/*.zip"), |
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} |
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class How2SignConfig(datasets.BuilderConfig): |
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"""How2Sign configuration.""" |
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def __init__(self, name, **kwargs): |
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""" |
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Parameters |
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---------- |
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name : str |
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Name of subset. |
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kwargs : dict |
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Keyword arguments. |
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""" |
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super(How2SignConfig, self).__init__( |
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name=name, |
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version=datasets.Version("1.0.0"), |
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description=_DESCRIPTION, |
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**kwargs, |
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) |
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class How2Sign(datasets.GeneratorBasedBuilder): |
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"""How2Sign dataset.""" |
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BUILDER_CONFIGS = [ |
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How2SignConfig(name="raw_videos"), |
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How2SignConfig(name="rgb_side_raw_videos"), |
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How2SignConfig(name="rgb_front_clips"), |
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How2SignConfig(name="rgb_side_clips"), |
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How2SignConfig(name="2D_keypoints"), |
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] |
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DEFAULT_CONFIG_NAME = "rgb_front_clips" |
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def _info(self) -> datasets.DatasetInfo: |
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features = datasets.Features({ |
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"VIDEO_ID": datasets.Value("string"), |
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"VIDEO_NAME": datasets.Value("string"), |
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"SENTENCE_ID": datasets.Value("string"), |
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"SENTENCE_NAME": datasets.Value("string"), |
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"START_REALIGNED": datasets.Value("float64"), |
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"END_REALIGNED": datasets.Value("float64"), |
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"SENTENCE": datasets.Value("string"), |
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"VIDEO": datasets.Value("string"), |
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}) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators( |
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self, dl_manager: datasets.DownloadManager |
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) -> list[datasets.SplitGenerator]: |
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""" |
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Get splits. |
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Parameters |
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---------- |
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dl_manager : datasets.DownloadManager |
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Download manager. |
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Returns |
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------- |
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list[datasets.SplitGenerator] |
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Split generators. |
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""" |
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split_dict = { |
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"train": datasets.Split.TRAIN, |
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"test": datasets.Split.TEST, |
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"val": datasets.Split.VALIDATION, |
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} |
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return [ |
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datasets.SplitGenerator( |
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name=name, |
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gen_kwargs={ |
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"metadata_path": dl_manager.download( |
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_URLS["meta"].format(split=split) |
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), |
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"video_dirs": dl_manager.download_and_extract( |
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glob( |
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_URLS["videos"].format( |
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split=split, |
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subset=self.config.name, |
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) |
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) |
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), |
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}, |
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) |
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for split, name in split_dict.items() |
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] |
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def _generate_examples( |
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self, metadata_path: str, |
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video_dirs: list[str], |
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) -> tuple[int, dict]: |
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""" |
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Generate examples. |
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Parameters |
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---------- |
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metadata_path : str |
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Path to metadata. |
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video_dirs : list[str] |
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List of video directories. |
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Returns |
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------- |
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tuple[int, dict] |
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Index and sample. |
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""" |
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split = datasets.load_dataset( |
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"csv", |
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data_files=metadata_path, |
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split="train", |
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delimiter="\t", |
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) |
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for i, sample in enumerate(split): |
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for video_dir in video_dirs: |
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if self.config.name in ["raw_videos", "rgb_side_raw_videos"]: |
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video_path = os.path.join(video_dir, sample["VIDEO_NAME"] + ".mp4") |
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else: |
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video_path = os.path.join(video_dir, sample["SENTENCE_NAME"] + ".mp4") |
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if os.path.exists(video_path): |
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yield i, { |
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"VIDEO_ID": sample["VIDEO_ID"], |
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"VIDEO_NAME": sample["VIDEO_NAME"], |
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"SENTENCE_ID": sample["SENTENCE_ID"], |
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"SENTENCE_NAME": sample["SENTENCE_NAME"], |
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"START_REALIGNED": sample["START_REALIGNED"], |
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"END_REALIGNED": sample["END_REALIGNED"], |
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"SENTENCE": sample["SENTENCE"], |
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"VIDEO": video_path, |
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} |
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