lisawen commited on
Commit
ffecccb
1 Parent(s): a5c9792

Update soybean_dataset.py

Browse files
Files changed (1) hide show
  1. soybean_dataset.py +6 -6
soybean_dataset.py CHANGED
@@ -67,9 +67,9 @@ _LICENSE = "Under a Creative Commons license"
67
  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
68
 
69
  _URLs = {
70
- "train" : "https://huggingface.co/datasets/lisawen/soybean_dataset/resolve/main/train.zip?download=true",
71
- "test": "https://huggingface.co/datasets/lisawen/soybean_dataset/resolve/main/test.zip?download=true",
72
- "valid": "https://huggingface.co/datasets/lisawen/soybean_dataset/resolve/main/valid.zip?download=true"
73
  }
74
 
75
  # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
@@ -109,11 +109,11 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
109
  # Since we're using a local file, we don't need to download it, so we just return the path.
110
  return [
111
  datasets.SplitGenerator(
112
- name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
113
  datasets.SplitGenerator(
114
- name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
115
  datasets.SplitGenerator(
116
- name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"]}),
117
  ]
118
 
119
 
 
67
  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
68
 
69
  _URLs = {
70
+ "train" : "https://huggingface.co/datasets/lisawen/soybean_dataset/resolve/main/train.zip",
71
+ "test": "https://huggingface.co/datasets/lisawen/soybean_dataset/resolve/main/test.zip",
72
+ "valid": "https://huggingface.co/datasets/lisawen/soybean_dataset/resolve/main/valid.zip"
73
  }
74
 
75
  # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
 
109
  # Since we're using a local file, we don't need to download it, so we just return the path.
110
  return [
111
  datasets.SplitGenerator(
112
+ name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(downloaded_files["train"], "train")}),
113
  datasets.SplitGenerator(
114
+ name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(downloaded_files["test"], "test")}),
115
  datasets.SplitGenerator(
116
+ name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(downloaded_files["valid"], "valid")}),
117
  ]
118
 
119