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README.md
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---
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license: apache-2.0
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language:
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- ar
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pretty_name: Arabic Instruct Curated
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tags:
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- instruction-tuning
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---
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# Arabic Instruct Curated
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Curated Arabic instruction-following dataset for SFT of Qwen2.5 LoRAs
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(`RASHID778/qwen2.5-3b-arabic-lora-v2` and `-7b-`).
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Format: JSON Lines, one record per line:
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```json
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{"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}], "source": "alpaca"}
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```
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## Composition (17,313 rows)
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| source | kept | raw | notes |
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|---|---:|---:|---|
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| `Yasbok/Alpaca_arabic_instruct` | 6,000 | 52,002 | cap reached; filtered short/repetitive/parroting |
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| `AhmedBou/Arabic_instruction_dataset_for_llm_ft` (train) | 3,966 | 10,000 | dropped ar->en translation tasks (Latin-dominated) |
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| `yrrhall/Arabic_Aya14200` (`aya_collection-aya_dataset`) | 7,347 | 13,960 | dedup removed 3,135 near-duplicates |
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Excluded entirely: `Mohamed-Sami/instruction-fine-tuning-arabic-dataset` (864K rows,
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template noise + garbled OCR content).
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## Filtering
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- user >= 10 chars, assistant >= 15 chars
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- no 8+ repeated-character runs
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- no control characters
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- Latin/letter ratio > 0.5 dropped (keeps Arabic-dominant samples)
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- exact + normalized near-duplicate removal (Alef/Ya/Taa-Marbuta normalization, sha256)
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- shuffled with seed 42
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