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Datasets:
Hub-Ai
/
ptbr-human-preferences

Tasks:
Text Classification
Text Generation
Modalities:
Text
Formats:
json
Languages:
Portuguese
Size:
< 1K
Tags:
rlhf
human-preferences
dpo
reward-model
portuguese
brazilian
Libraries:
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pandas
License:
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{ "name": "HUBX Human Preference Dataset (PT-BR) - SAMPLE", "version": "1.0.0", "note": "This is a SAMPLE with 10 examples only. Contact for full dataset (450 tasks, 314k+ annotations).", "contact": "contatojeffersonmacedo@gmail.com" }
[ { "id": 1, "question": "Qual frase soa mais educada em um e-mail profissional?", "option_a": "Poderia, por gentileza, me enviar os dados até amanhã?", "option_b": "Preciso dos dados até amanhã.", "preferred": "A", "agreement_rate": 0.84, "total_votes": 699 }, { "id": 2, "ques...
{ "total_tasks": 450, "total_annotations": 314757, "unique_annotators": "~600", "avg_votes_per_task": 699, "language": "Portuguese (Brazil)", "period": "July - December 2024" }
{ "startup_license": "$4,500", "commercial_license": "$9,500", "contact": "contatojeffersonmacedo@gmail.com" }

🇧🇷 HUBX Human Preference Dataset (PT-BR)

The largest Portuguese-Brazilian human preference dataset for RLHF/DPO training.

📊 Dataset Statistics

Metric Value
Total Annotations 314,757
Unique Tasks 450
Human Annotators ~600
Avg. Votes per Task ~699
Language Portuguese (Brazil)
Domain Communication Quality & Tone

🎯 Why This Dataset?

  • 🇧🇷 Native PT-BR: Collected from Brazilian Portuguese speakers - not translated
  • 👥 Real Humans: ~600 verified annotators with payment records
  • 📈 High Agreement: ~70% inter-annotator agreement (proves human origin)
  • 💬 Justifications: Includes reasoning behind choices
  • 🎯 Practical Domain: Communication quality, empathy, tone, professionalism

🌎 Global Community

Our annotator community is expanding rapidly across multiple regions:

  • South America: Brazil, Argentina, Colombia, Chile, Peru, and more
  • North America: United States, Mexico
  • Europe: Portugal, Spain, Germany, UK
  • Asia: Japan, Philippines

This diversity enables us to create datasets in multiple languages and cultural contexts. Interested in custom datasets for other languages? Contact us.

📋 Use Cases

  • RLHF - Train reward models for Portuguese language models
  • DPO - Direct Preference Optimization for PT-BR
  • Tone Alignment - Make AI responses sound more natural and empathetic
  • Customer Service AI - Train chatbots for Brazilian market
  • UX Writing - Improve AI-generated microcopy

📁 Data Format 

{
  "id": 1,
  "question": "Qual frase soa mais educada em um e-mail profissional?",
  "option_a": "Poderia, por gentileza, me enviar os dados até amanhã?",
  "option_b": "Preciso dos dados até amanhã.",
  "category": "professional_tone",
  "metadata": {
    "votes_a": 587,
    "votes_b": 112,
    "total_votes": 699,
    "preferred": "A",
    "agreement_rate": 0.84,
    "confidence": "high"
  },
  "justifications": [
    "A palavra 'por gentileza' demonstra mais respeito",
    "A opção A é mais cordial e profissional"
  ]
}

🔬 Data Collection

  • Platform: HUBX - Brazilian AI training community
  • Period: July - December 2024
  • Method: Paid annotators completing subscription-based tasks
  • Quality Control: Time-based filtering, justification collection
  • Verification: Payment records, unique user accounts, varied timestamps

Why This Proves Human Origin:

  1. Agreement Rate ~70% - AI would generate 95%+ agreement
  2. Justifications with typos - Natural Portuguese errors
  3. Payment Records - Real transactions for annotations
  4. ~600 Unique Accounts - Verified user registrations
  5. Temporal Distribution - Responses spread over time, not batch-generated

💰 Licensing

This dataset is available for commercial licensing.

📧 Contact for pricing: contatojeffersonmacedo@gmail.com

Pricing Tiers:

License Type Use Case Price
Research Academic/Non-commercial Free (with attribution)
Startup < $1M revenue $4,500
Commercial Full commercial rights $9,500
Enterprise Exclusive rights negotiable Contact

📬 Contact

📜 Citation 

@dataset{hubx_ptbr_preferences_2024,
  title={HUBX Human Preference Dataset (PT-BR)},
  author={HUBX Community},
  year={2024},
  publisher={Hugging Face},
  language={Portuguese (Brazil)},
  size={314757 annotations}
}

⚡ Ready to improve your Portuguese AI? Contact us today.
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