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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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|
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file_names = pl.Series(list_repo_files("allenai/c4", repo_type="dataset")) |
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|
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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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|
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c4n_features = {"timestamp": pl.Datetime, "url": pl.String} |
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aggregator = pl.DataFrame() |
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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).sort("timestamp") |
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yearly = df.group_by(pl.col("timestamp").dt.year()).agg( |
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pl.count("url").alias("count") |
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) |
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y_pivot = pl.DataFrame({str(year): count for year, count in yearly.rows()}) |
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aggregator = pl.concat([aggregator, y_pivot], how="diagonal").sum() |
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print(aggregator) |
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