|
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: |
|
|
|
if key == "의미 번호": |
|
continue |
|
if (single_column := example[key]) == None: |
|
continue |
|
|
|
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): |
|
|
|
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) |
|
|
