cantonese-qa-instructions

🇭🇰 Cantonese QA Instructions (v0.4)

粵語 / 廣東話指令微調數據集 — 全合成、全 QC'd、全繁體中文輸出

💼 商業用途需要授權？ → 獲取商業授權 → 📦 每日增量更新 · 多格式匯出 · 品質元數據 · 只需 $39/月起

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A high-quality synthetic instruction-tuning dataset of natural spoken Cantonese queries paired with Traditional Chinese answers. Covers 6 domains and actively growing every night via automated multi-model generation pipeline.

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📊 Dataset Stats (v0.4)

Domain Breakdown

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🆓 Free vs 💼 Commercial

💡 免費版 vs 付費版切割邏輯： 免費版提供每月靜態快照（CC-BY-NC，僅限學術）。付費版提供每日增量流、品質評分、多格式匯出，以及完整商業授權，適合需要定期 fine-tune 嘅 AI 產品團隊。

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📁 Data Structure

JSONL Format (per row)

{
  "instruction": "我成日頭暈目眩，起身快啲就眼黑下，係咪貧血呀？",
  "output": "呢種情況通常叫做「體位性低血壓」，唔一定係貧血...",
  "domain": "medical",
  "difficulty": "easy",
  "generated_at": "2026-06-27T01:15:00"
}

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🚀 Usage

HuggingFace Datasets

from datasets import load_dataset

dataset = load_dataset("him0413/cantonese-qa-instructions")

# Filter by domain
medical = dataset['train'].filter(lambda x: x['domain'] == 'medical')

Fine-tuning Template

formatted = []
for p in pairs:
    formatted.append({
        "messages": [
            {"role": "user", "content": p["instruction"]},
            {"role": "assistant", "content": p["output"]}
        ]
    })

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🔍 Generation Pipeline

Quality Standards

• ✅ All output in Traditional Chinese (零簡體字)
• ✅ Natural spoken Cantonese queries
• ✅ Answers factual, comprehensive, 50-200 characters
• ✅ No fabricated personal data
• ✅ Dual-model QC pipeline

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🎯 Why Cantonese?

Cantonese (粵語/廣東話) is spoken by 85+ million people worldwide but is massively underserved in NLP. Fewer than 10 public Cantonese instruction datasets exist on HuggingFace. This is the largest one — and it grows every night.

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🛣️ Roadmap

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👤 Creator

• Creator: him0413
• Free License: CC-BY-NC-4.0 （學術/非商業用途免費）
• Commercial License: Gumroad → （$39/月起）
• Hardware: Fully local generation (RTX 4090D + Qwen 3.6)

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Generated with ❤️ in Hong Kong 🇭🇰 最後更新：2026-06-27 | Next update: nightly