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--- |
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dataset_info: |
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features: |
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- name: input_ids |
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sequence: int32 |
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- name: attention_mask |
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sequence: int8 |
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splits: |
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- name: train |
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num_bytes: 3977615851 |
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num_examples: 2293647 |
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download_size: 1879839994 |
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dataset_size: 3977615851 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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This dataset is an Arabic sample extracted from the [Fineeb2](https://huggingface.co./datasets/HuggingFaceFW/fineweb-2) |
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Arabic subset (arb_Arab) which is supposed to be standard Arabic. |
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There are around 2.3 million rows in this sample. First, the whole dataset (57.8M rows) was scanned and rows |
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were kept if they had over 95% Arabic words. Then this 2.3M sample was randomly sampled from the _mostly Arabic_ data. |
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Notice that language_score is not an accurate measure. Also, this did not exclude slang, dialects or inappropriate |
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content (no editing was done to any row and all columns were kept). |
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The main purpose of this dataset is educational and I hope it helps researchers in designing and developing pre-processing |
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for the main FineWeb2 dataset (or any other Arabic corpora). |
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Example: |
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```python |
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from datasets import load_dataset |
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from pprint import pprint |
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import random |
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ds = load_dataset("akhooli/fineweb2_ar_24_sample") |
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max_n = len(ds['train']) |
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index = random.randint(0,max_n) # random row |
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pprint(ds['train'][index]['text']) # article |
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``` |
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