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
·
2b1b4cb
1
Parent(s):
a2911d5
testing generating examples
Browse files
Pill_Ideologies-Post_Titles.py
CHANGED
@@ -197,9 +197,10 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
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print("inside generate examples")
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print(split, "is the split")
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print(filepath.shape, "is the filepath")
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for key, row in filepath.iterrows():
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# print(row, "is the row")
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-
print(key, "is the key")
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# print(row, "is the row")
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if self.config.name == "first_domain":
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yield key, {
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@@ -212,6 +213,7 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
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"author": row.get("author"),
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"date": row.get("date"),
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}
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else:
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yield key, {
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print("inside generate examples")
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print(split, "is the split")
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print(filepath.shape, "is the filepath")
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+
i = 0
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for key, row in filepath.iterrows():
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# print(row, "is the row")
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print(key, "is the key", i, "is the index")
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# print(row, "is the row")
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if self.config.name == "first_domain":
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yield key, {
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"author": row.get("author"),
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"date": row.get("date"),
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}
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+
i += 1
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else:
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yield key, {
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