AntoineBourgois/lemonde_PER_attributes

from datasets import load_dataset
import requests
import os
import pickle

# ----------------------------
# Structured tabular data
# ----------------------------
all_entities_df = load_dataset(
    "AntoineBourgois/lemonde_PER_attributes",
    data_files="all_entities_df.parquet"
)

all_entities_df = all_entities_df["train"].to_pandas()  # Pandas DataFrame


# ----------------------------
# Large structured attributes (pickle)
# ----------------------------
url = "https://huggingface.co/datasets/AntoineBourgois/lemonde_PER_attributes/resolve/main/all_character_attributes.pkl"

local_all_character_attributes_path = "all_character_attributes.pkl"

if not os.path.exists(local_all_character_attributes_path):
    print(f"Downloading {url.split('/')[-1]}")
    
    with requests.get(url, stream=True) as r:
        r.raise_for_status()
        with open(local_all_character_attributes_path, "wb") as f:
            for chunk in r.iter_content(chunk_size=1024 * 1024):
                f.write(chunk)

print(f"Loading {local_all_character_attributes_path}")

with open(local_all_character_attributes_path, "rb") as f:
    all_character_attributes = pickle.load(f)

print(f"All Mentions: {len(all_entities_df):,}")
print(f"Processed Files: {len(all_character_attributes):,}")
all_entities_df.head()

All Mentions: 28,876,162
Processed Files: 1,028,256