switch to wds

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_info.json

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comma2k19.py

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-import datasets
-import glob
-import os
-import numpy as np
-
-NUM_SHARDS = 10
-_URLS = [
-      f'https://huggingface.co/datasets/commaai/comma2k19/resolve/main/Chunk_{i}.zip' for i in range(1,NUM_SHARDS+1)
-    ]
-
-_DESCRIPTION = """\
-comma2k19 is a dataset of over 33 hours of commute in California's 280 highway.
-This means 2019 segments, 1 minute long each, on a 20km section of highway driving between California's San Jose and San Francisco.
-comma2k19 is a fully reproducible and scalable dataset.
-The data was collected using comma EONs that has sensors similar to those of any modern smartphone including a road-facing camera, phone GPS, thermometers and 9-axis IMU.
-Additionally, the EON captures raw GNSS measurements and all CAN data sent by the car with a comma grey panda.
-"""
-
-class Comma2k19(datasets.GeneratorBasedBuilder):
-
-  def _info(self):
-    return datasets.DatasetInfo(
-      description=_DESCRIPTION,
-      features=datasets.Features(
-        {"path": datasets.Value("string")}
-      )
-    )
-
-  def _split_generators(self, dl_manager):
-    """Returns SplitGenerators."""
-    dl_manager.download_config.ignore_url_params = True
-    downloaded_files = dl_manager.download(_URLS)
-    local_extracted_archive = dl_manager.extract(downloaded_files) if not dl_manager.is_streaming else [None]*len(downloaded_files)
-    return [
-      datasets.SplitGenerator(
-        name=str(i),
-        gen_kwargs={"local_extracted_archive":local_extracted_archive[i], "files": dl_manager.iter_archive(downloaded_files[i])}
-        ) for i in range(len(downloaded_files))]
-
-  def _generate_examples(self, local_extracted_archive, files):
-    files = [os.path.join(dp, f) for dp, dn, filenames in os.walk(local_extracted_archive) for f in filenames]
-    for path in files:
-      yield path, {'path': path}
-
-  def _get_examples_iterable_for_split(self, split_generator):
-    for path in split_generator.gen_kwargs['files']:
-      yield path[0], {'path': path[0]}

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