Datasets:
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Download artifacts/hf_readmes/WiktorS__polish-news__README.md from SlayerLab/polish-dynaword: direct link, hf CLI and curl.
- Browser
- Download file 759 Bytes
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https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/503c9db5d79c4b2f7fb9ebbfb40bfd3b679e2526/artifacts/hf_readmes/WiktorS__polish-news__README.md
- Command line
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hf download hf://datasets/SlayerLab/polish-dynaword@503c9db5d79c4b2f7fb9ebbfb40bfd3b679e2526/artifacts/hf_readmes/WiktorS__polish-news__README.md
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curl -L -o WiktorS__polish-news__README.md https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/503c9db5d79c4b2f7fb9ebbfb40bfd3b679e2526/artifacts/hf_readmes/WiktorS__polish-news__README.md
759 Bytes
metadata
license: apache-2.0
task_categories:
- text-classification
- summarization
- text-generation
language:
- pl
size_categories:
- 100K<n<1M
This dataset contains more than 250k articles obtained from polish news site tvp.info.pl.
Main purpouse of collecting the data was to create a transformer-based model for text summarization.
Columns:
link- link to articletitle- original title of the articleheadline- lead/headline of the article - first paragraph of the article visible directly from the pagecontent- full textual contents of the article
Link to original repo: https://github.com/WiktorSob/scraper-tvp
Download the data:
from datasets import load_dataset
dataset = load_dataset("WiktorS/polish-news")