Create create_dict.py

create_dict.py

@@ -0,0 +1,50 @@
+import pandas as pd
+import os
+import datasets
+
+XLS_FOLDER = "stdict"
+OUTPUT_FOLDER = "data"
+SORT_KEY = "어휘"
+NUM_PROC = 32
+hf_access_token = ""
+hf_ID = ""
+ds_name = "stdict_kor"
+
+
+def flatten_examples(example: dict) -> dict:
+    text_line = ""
+    for key in example:
+        # some columns are empty or invalid
+        if key == "의미 번호":
+            continue
+        if (single_column := example[key]) == None:
+            continue
+        # certain columns contain extraneous content
+        if key == "원어·어종":
+            single_column = single_column.removeprefix("안 밝힘 ")
+        text_line += key + ": " + single_column.strip() + ", "
+    return {"text": text_line.removesuffix(", ")}
+
+
+if os.path.exists(XLS_FOLDER):
+    XLS_FOLDER = os.path.abspath(XLS_FOLDER)
+    xls_list = os.listdir(XLS_FOLDER)
+else:
+    raise ValueError("input folder does not exist")
+
+combined_df = pd.DataFrame()
+length_check = 0
+for xls in sorted(xls_list):
+    xls_path = os.path.join(XLS_FOLDER, xls)
+    if os.path.exists(xls_path):
+        # print(xls_path)
+        df = pd.read_excel(xls_path, header=0, index_col=None)
+        length_check += len(df)
+        combined_df = pd.concat([combined_df, df], ignore_index=True)
+
+assert len(combined_df) == length_check
+ds = datasets.Dataset.from_pandas(combined_df)
+sorted_ds = ds.sort(SORT_KEY)
+processed_ds = sorted_ds.map(flatten_examples, num_proc=NUM_PROC).select_columns("text")
+
+processed_ds.push_to_hub(repo_id=ds_name, token=hf_access_token)