henryzhang2024/qs-deepseek-platinum-v3

--- license: mit task_categories: - text-generation - text2text-generation language: - en tags: - finance - trading - options - quantitative size_categories: - 10K<n<100K --- # QS DeepSeek Platinum v3 High-quality training dataset for DeepSeek trading model. ## Dataset Details - **Total samples:** 17,212 - **Format:** OpenAI messages format (system/user/assistant) - **Sources:** - qs-deepseek-platinum-15k (HF) - Synthetic negative examples - Live signals from Supabase ## Data Quality | Metric | Value | |--------|-------| | Positive PnL | 74.4% | | Negative PnL | 25.5% | | Avg message length | 2,220 chars | | Max message length | 8,922 chars | ## Label Distribution - Neutral/Hold: 35.9% - Strong Buy: 20.1% - Strong Sell: 16.2% - Buy: 13.0% - Sell: 10.4% ## Improvements from v2 1. **More negative examples** (25.5% vs 2.3%) 2. **Larger dataset** (17k vs 13k) 3. **Length filtered** (max 9k chars) 4. **Merged with live data** ## Usage ```python from datasets import load_dataset dataset = load_dataset("henryzhang2024/qs-deepseek-platinum-v3") ``` ## License MIT