Upload 11 files

filtered_posts_00.parquet

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filtered_posts_01.parquet

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filtered_posts_02.parquet

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filtered_posts_03.parquet

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filtered_posts_04.parquet

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filtered_posts_05.parquet

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filtered_posts_06.parquet

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filtered_posts_07.parquet

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filtered_posts_08.parquet

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filtered_posts_09.parquet

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 version https://git-lfs.github.com/spec/v1
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filtering_posts.py

@@ -23,6 +23,7 @@ MIN_TAG_COUNT = 5
 # フィルタリングに必要なカラム
 NEED_COLUMNS = [
     "id",
+    "created_at",
     "md5",
     "score",
     "rating",
@@ -51,7 +52,7 @@ TAG_COLUMNS = [
 # 出力時に必要なカラム
 OUTPUT_COLUMNS = [
     "id",
-    "md5",
+    "created_at",
     "score",
     "rating",
     "image_width",
@@ -61,9 +62,12 @@ OUTPUT_COLUMNS = [
     "tag_string_general",
     "tag_string_character",
     "tag_string_copyright",
+    "tag_string_artist",
     "file_url",
 ]
 
+INTERNAL_COLUMNS = ["md5", *OUTPUT_COLUMNS]
+
 console = Console()
 
 
@@ -122,7 +126,7 @@ def build_filter_mask(data: pd.DataFrame, ban_tag_pattern: re.Pattern[str] | Non
 
 def filter_posts(data: pd.DataFrame, ban_tag_pattern: re.Pattern[str] | None) -> pd.DataFrame:
     mask = build_filter_mask(data, ban_tag_pattern)
-    return data.loc[mask, OUTPUT_COLUMNS].reset_index(drop=True)
+    return data.loc[mask, INTERNAL_COLUMNS].reset_index(drop=True)
 
 
 def filter_post_file(path: Path, ban_tag_pattern: re.Pattern[str] | None) -> tuple[pd.DataFrame, int, int]:
@@ -155,7 +159,7 @@ def save_split_files(data: pd.DataFrame, part_count: int) -> list[tuple[Path, in
 
     for index, (start, end) in enumerate(split_ranges(len(data), part_count)):
         output_path = OUTPUT_DIR / f"filtered_posts_{index:0{digits}d}.parquet"
-        part = data.iloc[start:end].reset_index(drop=True)
+        part = data.iloc[start:end].loc[:, OUTPUT_COLUMNS].reset_index(drop=True)
         part.to_parquet(output_path, index=False)
         outputs.append((output_path, len(part)))