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import polars as pl
from huggingface_hub import hf_hub_url, list_repo_files
from tqdm import tqdm
file_names = pl.Series(list_repo_files("allenai/c4", repo_type="dataset"))
# Take all splits of the realnewslike subset (513 files)
news_files = file_names.filter(
file_names.str.starts_with("realnewslike/") & file_names.str.ends_with(".json.gz"),
).str.strip_prefix("realnewslike/")
c4n_features = {"timestamp": pl.Datetime, "url": pl.String}
aggregator = pl.DataFrame()
for filename in tqdm(news_files):
json_url = hf_hub_url(
repo_id="allenai/c4",
filename=filename,
subfolder="realnewslike",
repo_type="dataset",
)
print(f"Processing {json_url}")
df = pl.read_ndjson(json_url, schema=c4n_features).sort("timestamp")
yearly = df.group_by(pl.col("timestamp").dt.year()).agg(
pl.count("url").alias("count")
)
y_pivot = pl.DataFrame({str(year): count for year, count in yearly.rows()})
aggregator = pl.concat([aggregator, y_pivot], how="diagonal").sum()
print(aggregator)
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