dd123 commited on
Commit
63b7352
·
1 Parent(s): b2f2803
test_data.py → test_data_huggingface.py RENAMED
@@ -14,13 +14,11 @@
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  # limitations under the License.
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  """test_data dataset."""
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-
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  import csv
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  import datasets
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  from datasets.tasks import TextClassification
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-
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  _DESCRIPTION = """"""
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  _HOMEPAGE = "https://github.com/freeziyou/test_data"
@@ -28,12 +26,12 @@ _HOMEPAGE = "https://github.com/freeziyou/test_data"
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  _LICENSE = "Creative Commons Attribution 4.0 International"
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  _TRAIN_DOWNLOAD_URL = (
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- "https://raw.githubusercontent.com/freeziyou/test_data/main/train.csv"
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  )
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- _TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/freeziyou/test_data/main/test.csv"
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- class test_data(datasets.GeneratorBasedBuilder):
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  """test_data dataset."""
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  VERSION = datasets.Version("1.1.0")
@@ -44,18 +42,18 @@ class test_data(datasets.GeneratorBasedBuilder):
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  "text": datasets.Value("string"),
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  "label": datasets.features.ClassLabel(
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  names=[
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- "none",
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- "like",
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- "unlike",
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- "hope",
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- "questioning",
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- "express_surprise",
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- "normal_interaction",
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- "express_sad",
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- "tease",
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- "meme",
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- "express_abashed"
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- ]),
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  }
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  )
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  return datasets.DatasetInfo(
@@ -84,4 +82,4 @@ class test_data(datasets.GeneratorBasedBuilder):
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  next(csv_reader)
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  for id_, row in enumerate(csv_reader):
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  text, label = row
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- yield id_, {"text": text, "label": label}
 
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  # limitations under the License.
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  """test_data dataset."""
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  import csv
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  import datasets
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  from datasets.tasks import TextClassification
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  _DESCRIPTION = """"""
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  _HOMEPAGE = "https://github.com/freeziyou/test_data"
 
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  _LICENSE = "Creative Commons Attribution 4.0 International"
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  _TRAIN_DOWNLOAD_URL = (
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+ "https://raw.githubusercontent.com/freeziyou/test_data/main/comments_only_train.csv"
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  )
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+ _TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/freeziyou/test_data/main/comments_only_test.csv"
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+ class test_data_huggingface(datasets.GeneratorBasedBuilder):
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  """test_data dataset."""
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  VERSION = datasets.Version("1.1.0")
 
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  "text": datasets.Value("string"),
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  "label": datasets.features.ClassLabel(
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  names=[
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+ "none",
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+ "like",
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+ "unlike",
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+ "hope",
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+ "questioning",
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+ "express_surprise",
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+ "normal_interaction",
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+ "express_sad",
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+ "tease",
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+ "meme",
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+ "express_abashed"
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+ ]),
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  }
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  )
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  return datasets.DatasetInfo(
 
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  next(csv_reader)
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  for id_, row in enumerate(csv_reader):
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  text, label = row
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+ yield id_, {"text": text, "label": label}