"""download lexdk from alexandrainst/lexdk-open""" from datetime import datetime from pathlib import Path from typing import cast import pandas as pd from datasets import Dataset, load_dataset column_order = [ "text", "source", "id", "added", "created", "license", "domain", "metadata", ] def convert_sample(example: dict) -> dict: # from sample: # { # "url": "https://denstoredanske.lex.dk/Kullmanns_M%C3%B8lle", # "title": "Kullmanns Mølle", # "clarification": "", # "authors": ["https://brugere.lex.dk/6929"], # "date": "2021-01-20T13:23:20+01:00", # "license": "fri anvendelse", # "text": "Kullmanns Mølle er en mølle i Gudhjem, opkaldt efter Matts Kullmann, der byggede møllen i 1893 til sin søn, Christian Kullmann, se Gudhjem Mølle.", # } date = datetime.fromisoformat(example["date"]) text = f"{example["title"]}\n\npubliceret: {date}\n{example["text"]}" new_example = dict( text_new=text, id=example["url"], source="lexdk", domain="Conversation", license="cc-by-sa-4.0", added="2025-01-04", created=f"{date.date()}, {date.date()}", metadata={"source-pretty": "Lex.dk"}, ) return new_example def main(): ds = load_dataset("alexandrainst/lexdk-open", split="train") ds = cast(Dataset, ds) dates = [datetime.fromisoformat(date).date() for date in ds["date"]] print(str(min(dates)), ",", str(max(dates))) # 2009-01-28, 2023-09-05 assert len(set(ds["url"])) == len(ds) ds = ds.map(convert_sample, num_proc=4) ds = ds.select_columns(column_order[1:] + ["text_new"]) ds = ds.rename_columns({"text_new": "text"}) # ensure order ds = ds.select_columns(column_order) df = ds.to_pandas() df = cast(pd.DataFrame, df) dedup_df = df.drop_duplicates(keep="first", subset=["text"]) print("N. duplicates: ", df.shape[0] - dedup_df.shape[0]) # 0 ds = ds.select(dedup_df.index) assert len(set(ds["text"])) == len(ds) save_path = Path(__file__).parent / "lexdk.parquet" ds.to_parquet(save_path) if __name__ == "__main__": main()