Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
License:
""" | |
This scripts download nordjylland news and converts it to the format of danish dynaword | |
""" | |
import random | |
from pathlib import Path | |
from typing import cast | |
from datasets import Dataset, load_dataset | |
schemas = [ | |
"{summary}\n\n{text}", | |
"{text}\n\nOpsummering:\n{summary}", | |
"{text}\n\nReferat:\n{summary}", | |
"Lav et referat af nedenstående tekst:\n\nTekst:\n{text}\n\nReferat:\n{summary}", | |
] | |
source = "nordjyllandnews" | |
def convert_sample(example): | |
schema = random.choice(schemas) | |
new_example = dict( | |
text_new=schema.format(text=example["text"], summary=example["summary"]), | |
source=source, | |
domain="News", | |
license="Creative Commons Legal Code\n\nCC0 1.0 Universal", | |
added="2024-12-16", | |
created="2000-01-01, 2024-01-01", # best guess | |
metadata={"source-pretty": "Nordjylland News"}, | |
) | |
return new_example | |
def main(): | |
ds = load_dataset("alexandrainst/nordjylland-news-summarization", split="train") | |
ds = cast(Dataset, ds) | |
ds = ds.map(convert_sample, remove_columns=ds.column_names) | |
ds = ds.rename_columns({"text_new": "text"}) | |
ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore | |
ds = ds.select_columns( | |
["text", "source", "id", "added", "created", "license", "domain", "metadata"] | |
) | |
save_path = Path(__file__).parent / f"{source}.parquet" | |
ds.to_parquet(save_path) | |
if __name__ == "__main__": | |
main() | |