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henryzhang2024/qs-deepseek-platinum-v3

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… See the full description on the dataset page: https://huggingface.co/datasets/henryzhang2024/qs-deepseek-platinum-v3.

sourceHugging Facemitupdated 6mo agoView on Hugging Face
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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

MetricValue
Positive PnL74.4%
Negative PnL25.5%
Avg message length2,220 chars
Max message length8,922 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. 1.More negative examples (25.5% vs 2.3%)
  2. 2.Larger dataset (17k vs 13k)
  3. 3.Length filtered (max 9k chars)
  4. 4.Merged with live data

Usage

python
from datasets import load_dataset

dataset = load_dataset("henryzhang2024/qs-deepseek-platinum-v3")

License

MIT