news_2026_exercise

Arabic news dataset for text classification.

Column	Description
title	News title
content	News body
category	Label: سياسة, اقتصاد, صحة, رياضة

28,000 rows (7,000 per category).

Download and load as pandas

from datasets import load_dataset
import pandas as pd

ds = load_dataset("maher13/news_2026_exercise")
df = ds["train"].to_pandas()
print(df.head())

Sample N rows from each category

from datasets import load_dataset
import pandas as pd

N = 100  # change this

ds = load_dataset("maher13/news_2026_exercise")
df = ds["train"].to_pandas()

sample_df = (
    df.groupby("category", group_keys=False)
    .apply(lambda x: x.sample(n=min(N, len(x)), random_state=42))
    .reset_index(drop=True)
)

print(sample_df["category"].value_counts())
print(sample_df.head())