AlexBlck commited on
Commit
3b30503
1 Parent(s): 68ee986

start preparing configs

Browse files
Files changed (1) hide show
  1. ANAKIN.py +46 -12
ANAKIN.py CHANGED
@@ -35,8 +35,13 @@ _LICENSE = "cc-by-4.0"
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  # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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- _URLS = {
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- "all": "https://huggingface.co/datasets/AlexBlck/ANAKIN/raw/main/metadata.csv",
 
 
 
 
 
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  }
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@@ -83,11 +88,44 @@ class Anakin(datasets.GeneratorBasedBuilder):
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  "editor-id": datasets.Value("string"),
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  }
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  )
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- else: # This is an example to show how to have different features for "first_domain" and "second_domain"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  features = datasets.Features(
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  {
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- "sentence": datasets.Value("string"),
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- # These are the features of your dataset like images, labels ...
 
 
 
 
 
 
 
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  }
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  )
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  return datasets.DatasetInfo(
@@ -113,8 +151,7 @@ class Anakin(datasets.GeneratorBasedBuilder):
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  # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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- urls = _URLS[self.config.name]
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- metadata_dir = dl_manager.download_and_extract(urls)
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  random.seed(47)
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  root_url = "https://huggingface.co/datasets/AlexBlck/ANAKIN/resolve/main/"
@@ -122,12 +159,9 @@ class Anakin(datasets.GeneratorBasedBuilder):
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  ids = df["video-id"].to_list()
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  random.shuffle(ids)
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  data_urls = [
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- {
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- "full": root_url + f"full/{idx}.mp4",
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- "trimmed": root_url + f"trimmed/{idx}.mp4",
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- "edited": root_url + f"edited/{idx}.mp4",
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- }
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  for idx in ids
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  ]
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  data_dir = dl_manager.download(data_urls)
 
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  # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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+ _METADATA_URL = "https://huggingface.co/datasets/AlexBlck/ANAKIN/raw/main/metadata.csv"
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+
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+ _FOLDERS = {
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+ "all": ("full", "trimmed", "edited", "masks"),
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+ "no-full": ("trimmed", "edited", "masks"),
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+ "trimmed-edited-masks": ("trimmed", "edited", "masks"),
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+ "full-trimmed-edited-masks": ("full", "trimmed", "edited", "masks"),
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  }
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  "editor-id": datasets.Value("string"),
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  }
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  )
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+ elif self.config.name == "no-full":
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+ features = datasets.Features(
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+ {
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+ "trimmed": datasets.Value("string"),
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+ "edited": datasets.Value("string"),
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+ "masks": datasets.Sequence(datasets.Image()),
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+ "task": datasets.Value("string"),
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+ "start-time": datasets.Value("int32"),
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+ "end-time": datasets.Value("int32"),
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+ "manipulation-type": datasets.Value("string"),
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+ "editor-id": datasets.Value("string"),
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+ }
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+ )
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+ elif self.config.name == "trimmed-edited-masks":
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+ features = datasets.Features(
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+ {
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+ "trimmed": datasets.Value("string"),
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+ "edited": datasets.Value("string"),
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+ "masks": datasets.Sequence(datasets.Image()),
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+ "task": datasets.Value("string"),
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+ "start-time": datasets.Value("int32"),
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+ "end-time": datasets.Value("int32"),
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+ "manipulation-type": datasets.Value("string"),
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+ "editor-id": datasets.Value("string"),
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+ }
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+ )
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+ elif self.config.name == "full-trimmed-edited-masks":
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  features = datasets.Features(
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  {
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+ "full": datasets.Value("string"),
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+ "trimmed": datasets.Value("string"),
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+ "edited": datasets.Value("string"),
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+ "masks": datasets.Sequence(datasets.Image()),
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+ "task": datasets.Value("string"),
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+ "start-time": datasets.Value("int32"),
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+ "end-time": datasets.Value("int32"),
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+ "manipulation-type": datasets.Value("string"),
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+ "editor-id": datasets.Value("string"),
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  }
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  )
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  return datasets.DatasetInfo(
 
151
  # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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+ metadata_dir = dl_manager.download_and_extract(_METADATA_URL)
 
155
 
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  random.seed(47)
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  root_url = "https://huggingface.co/datasets/AlexBlck/ANAKIN/resolve/main/"
 
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  ids = df["video-id"].to_list()
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  random.shuffle(ids)
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+ folders = _FOLDERS[self.config.name]
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  data_urls = [
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+ {f"{folder}": root_url + f"{folder}/{idx}.mp4" for folder in folders}
 
 
 
 
165
  for idx in ids
166
  ]
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  data_dir = dl_manager.download(data_urls)