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