Datasets:
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
Tags:
natural-language-understanding
ideology classification
text classification
natural language processing
License:
EricR401S
commited on
Commit
·
f1ccf32
1
Parent(s):
a80dae0
testing generating examples
Browse files
Pill_Ideologies-Post_Titles.py
CHANGED
@@ -195,7 +195,8 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
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# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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print("inside generate examples")
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-
print(
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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print("inside generate examples")
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+
print(split, "is the split")
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print(filepath, "is the filepath")
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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