akhooli/fineweb2_ar_24_sample_tok

This dataset is an Arabic sample extracted from the Fineeb2 Arabic subset (arb_Arab) which is supposed to be standard Arabic. There are around 2.3 million rows in this sample. First, the whole dataset (57.8M rows) was scanned and rows were kept if they had over 95% Arabic words. Then this 2.3M sample was randomly sampled from the mostly Arabic data. Notice that language_score is not an accurate measure. Also, this did not exclude slang, dialects or inappropriate content (no editing was done to any row and all columns were kept).
The main purpose of this dataset is educational and I hope it helps researchers in designing and developing pre-processing for the main FineWeb2 dataset (or any other Arabic corpora). Example:

from datasets import load_dataset 
from pprint import pprint
import random
ds = load_dataset("akhooli/fineweb2_ar_24_sample")
max_n = len(ds['train'])
index = random.randint(0,max_n) # random row
pprint(ds['train'][index]['text']) # article