Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Portuguese
Size:
1K - 10K
License:
Andre Barbosa
commited on
Commit
·
835c2f7
1
Parent(s):
551ea2f
add sorting in files before upload
Browse files- aes_enem_dataset.py +5 -3
aes_enem_dataset.py
CHANGED
@@ -82,7 +82,7 @@ CSV_HEADER = [
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class AesEnemDataset(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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-
VERSION = datasets.Version("0.0.
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# You will be able to load one or the other configurations in the following list with
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BUILDER_CONFIGS = [
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@@ -572,11 +572,12 @@ class HTMLParser:
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self.sourceB = f"{filepath}/sourceB/sourceB.csv"
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file = self.sourceA if self.sourceA else self.sourceB
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file_dir = "/".join((file).split("/")[:-1])
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with open(file, "w", newline="", encoding="utf8") as final_file:
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writer = csv.writer(final_file)
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writer.writerow(CSV_HEADER)
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sub_folders = [
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name for name in
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]
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essay_id = 0
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essay_title = None
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@@ -593,7 +594,8 @@ class HTMLParser:
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if prompt_folder in PROMPTS_TO_IGNORE:
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continue
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prompt = os.path.join(file_dir, prompt_folder)
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-
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essay_year = self._get_essay_year(
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self.apply_soup(prompt, "Prompt.html")
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)
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class AesEnemDataset(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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+
VERSION = datasets.Version("0.0.2")
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# You will be able to load one or the other configurations in the following list with
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BUILDER_CONFIGS = [
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self.sourceB = f"{filepath}/sourceB/sourceB.csv"
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file = self.sourceA if self.sourceA else self.sourceB
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file_dir = "/".join((file).split("/")[:-1])
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sorted_files = sorted(os.listdir(file_dir))
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with open(file, "w", newline="", encoding="utf8") as final_file:
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writer = csv.writer(final_file)
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writer.writerow(CSV_HEADER)
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sub_folders = [
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name for name in sorted_files if not name.endswith(".csv")
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]
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essay_id = 0
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essay_title = None
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if prompt_folder in PROMPTS_TO_IGNORE:
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continue
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prompt = os.path.join(file_dir, prompt_folder)
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sorted_prompts = sorted(os.listdir(prompt))
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prompt_essays = [name for name in sorted_prompts]
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essay_year = self._get_essay_year(
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self.apply_soup(prompt, "Prompt.html")
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)
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