remove dataset builder, sstream is incompatible

commaSteeringControl.py

@@ -1,65 +0,0 @@
-import datasets
-import pandas as pd
-import pyarrow as pa
-
-PLATFORMS = ["ACURA_RDX_2020", "AUDI_A3_3RD_GEN"]
-
-_URLS = [f'https://huggingface.co/datasets/commaai/commaSteeringControl/resolve/main/data/{platform}.zip' for platform in PLATFORMS]
-
-_DESCRIPTION = "Steering controls dataset from cars running openpilot"
-N = 600
-
-
-class CommaSteeringControl(datasets.ArrowBasedBuilder):
-
-  def _info(self):
-    return datasets.DatasetInfo(
-      description=_DESCRIPTION,
-      features=datasets.Features(
-        {
-          "t": datasets.Array2D(shape=(1, N), dtype='float'),
-          "latActive": datasets.Array2D(shape=(1, N), dtype='bool'),
-          "steeringPressed": datasets.Array2D(shape=(1, N), dtype='bool'),
-          "vEgo": datasets.Array2D(shape=(1, N), dtype='float'),
-          "aEgo": datasets.Array2D(shape=(1, N), dtype='float'),
-          "steeringAngleDeg": datasets.Array2D(shape=(1, N), dtype='float'),
-          "steer": datasets.Array2D(shape=(1, N), dtype='float'),
-          "steerFiltered": datasets.Array2D(shape=(1, N), dtype='float'),
-          "roll": datasets.Array2D(shape=(1, N), dtype='float'),
-          "latAccelSteeringAngle": datasets.Array2D(shape=(1, N), dtype='float'),
-          "latAccelDesired": datasets.Array2D(shape=(1, N), dtype='float'),
-          "latAccelLocalizer": datasets.Array2D(shape=(1, N), dtype='float'),
-          "epsFwVersion": datasets.Array2D(shape=(1, N), dtype='string'),
-        }
-      )
-    )
-
-  def _split_generators(self, dl_manager):
-    downloaded_files = dl_manager.download(_URLS)
-    return [
-      datasets.SplitGenerator(
-        name=PLATFORMS[i],
-        gen_kwargs={
-          "files": dl_manager.iter_archive(downloaded_files[i])
-        }
-      ) for i in range(len(downloaded_files))
-    ]
-
-  def _generate_tables(self, files):
-    for path in files:
-      df = pd.read_csv(path[1])
-      pa_table = pa.Table.from_pandas(df)
-      # print(pa_table)
-      yield path[0], pa_table
-
-  # def _get_examples_iterable_for_split(self, split_generator):
-  #   for path in split_generator.gen_kwargs['files']:
-  #     df = pandas.read_csv(path[1])
-  #     yield path[0], df
-
-
-# ds = CommaSteeringControl(use_auth_token=True)
-# dp = ds.as_streaming_dataset(split="AUDI_A3_3RD_GEN")
-# for p in dp:
-#   print(p)
-#   break