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from pprint import pprint |
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import polars as pl |
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from huggingface_hub import hf_hub_url, list_repo_files |
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from tqdm import tqdm |
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file_names = pl.Series(list_repo_files("allenai/c4", repo_type="dataset")) |
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news_files = file_names.filter( |
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file_names.str.starts_with("realnewslike/") & file_names.str.ends_with(".json.gz"), |
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).str.strip_prefix("realnewslike/") |
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c4n_features = {"url": pl.String, "text": pl.String} |
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aggregator = pl.DataFrame(schema=c4n_features) |
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domain_capture = r"https?://([^/?]+)" |
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url_match = r"^(news\.bbc\.co\.uk|www\.bbc\.co\.uk|www\.bbc\.com)$" |
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for filename in tqdm(news_files): |
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json_url = hf_hub_url( |
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repo_id="allenai/c4", |
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filename=filename, |
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subfolder="realnewslike", |
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repo_type="dataset", |
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) |
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print(f"Processing {json_url}") |
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df = pl.read_ndjson(json_url, schema=c4n_features).filter( |
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pl.col("url").str.extract(domain_capture).str.contains(url_match), |
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~pl.col("url").str.contains("/sport/"), |
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) |
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aggregator = pl.concat([aggregator, df]) |
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print(aggregator) |
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print("Domains:", end=" ") |
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pprint(aggregator.sort("url")["url"].str.extract(domain_capture).unique().to_list()) |
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