Datasets:
Upload open_cortex_fx_v3.py with huggingface_hub
Browse files- open_cortex_fx_v3.py +35 -39
open_cortex_fx_v3.py
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@@ -60,24 +60,20 @@ class OpenCortexFXv3(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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"""Returns SplitGenerators."""
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#
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f"https://huggingface.co/datasets/Standout/open-cortex-fx-v3/resolve/main/final_{i}.zip"
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for i in range(10) # Support up to 10 splits
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]
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zip_paths = dl_manager.download(zip_urls)
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splits = []
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for
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)
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)
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return splits
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@@ -85,10 +81,14 @@ class OpenCortexFXv3(datasets.GeneratorBasedBuilder):
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"""Yields examples."""
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with zipfile.ZipFile(zip_path, "r") as z:
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# Read metadata
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# Get split name from zip filename
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split_name = zip_path.stem
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@@ -97,29 +97,25 @@ class OpenCortexFXv3(datasets.GeneratorBasedBuilder):
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video_name = row["name"]
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category = row["category"]
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# Find video in zip
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yield idx, {
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"name": video_name,
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"category": category,
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"split": split_name,
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"video": video_data,
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}
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except KeyError:
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# Try alternative path format
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video_path_in_zip = video_path_in_zip.replace(" ", "_")
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try:
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video_data = z.read(video_path_in_zip)
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yield idx, {
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"name": video_name,
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"category": category,
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"split": split_name,
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"video": video_data,
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}
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except KeyError:
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# Skip if video not found
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continue
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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"""Returns SplitGenerators."""
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# Define splits based on available zip files
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# We'll create splits for final_0 through final_5 (can be extended)
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splits = []
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for i in range(6): # We have 6 splits (final_0 through final_5)
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split_name = f"final_{i}"
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zip_url = f"https://huggingface.co/datasets/Standout/open-cortex-fx-v3/resolve/main/final_{i}.zip"
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zip_path = dl_manager.download(zip_url)
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splits.append(
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datasets.SplitGenerator(
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name=datasets.Split(split_name),
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gen_kwargs={"zip_path": Path(zip_path)},
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)
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)
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return splits
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"""Yields examples."""
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with zipfile.ZipFile(zip_path, "r") as z:
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# Read metadata
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try:
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with z.open("metadata.csv") as f:
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content = f.read().decode("utf-8")
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reader = csv.DictReader(io.StringIO(content))
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metadata = list(reader)
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except KeyError:
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# If metadata.csv not found, skip this split
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return
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# Get split name from zip filename
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split_name = zip_path.stem
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video_name = row["name"]
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category = row["category"]
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# Find video in zip - try different path formats
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video_paths = [
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f"{category}/{video_name}",
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f"{category.replace(' ', '_')}/{video_name}",
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video_name, # Fallback to root
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]
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video_data = None
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for video_path in video_paths:
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try:
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video_data = z.read(video_path)
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break
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except KeyError:
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continue
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if video_data:
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yield idx, {
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"name": video_name,
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"category": category,
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"split": split_name,
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"video": video_data,
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}
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