raulcel/sn28-miner-richtao-dataset

Dataset Card for SN28 Miner Richtao Dataset

This dataset contains the real-time prediction dumps generated by the Richtao miner operating in the Bittensor Subnet 28 (S&P 500 Oracle) network. It is used to evaluate and benchmark intraday forecasting models for the S&P 500 index.

🧾 Dataset Details

• —Curated by: Raúl Celis
• —Funded by: Private research / Bittensor TAO network
• —Language: English
• —License: MIT
• —Repository: https://huggingface.co/datasets/raulcel/sn28-miner-richtao-dataset
• —Purpose: Store public prediction logs (preds.csv, truths.csv, metrics.json) for model transparency and RMSE tracking.

📈 Dataset Description

Each record represents a 5-minute-interval prediction of the S&P 500 index price made by the Richtao miner. Predictions are produced every minute using macro-market indicators (bond yields, VIX, DXY, commodities, credit spreads, etc.) and a local news-sentiment model.

Files

🔬 Uses

Direct Use

• —Research on intraday financial forecasting.
• —Training and validation of AI models for short-term market direction.
• —Transparency and reproducibility for Bittensor Subnet 28 miners.

Out-of-Scope Use

• —Do not use for live trading decisions without independent validation.
• —Not intended for long-term forecasting or non-financial applications.

⚙️ Dataset Structure

Each row in preds.csv includes:

• —Timestamp (UTC)
• —SPX now and predicted values
• —ES futures levels
• —Macro changes (Δ2Y, Δ10Y, ΔDXY, ΔVIX, ΔWTI, ΔCU, ΔHYG)
• —Sentiment score (−0.5 to +0.5)
• —Prediction horizon (+5m…+30m)

🧩 Dataset Creation

Curation Rationale

To document and quantify the intraday performance of an autonomous AI miner in Bittensor Subnet 28 (S&P 500 Oracle).

Source Data

Aggregated from public market feeds (Yahoo Finance) and local sentiment analysis of financial headlines.

Data Collection and Processing

Automated Python scripts running under PM2 on Ubuntu servers fetch real-time data each minute, generate predictions, and upload the logs to Hugging Face.

Annotations

No manual annotations; all values are computed automatically from market data.

Personal and Sensitive Information

None. All data are aggregated market metrics without personal content.

⚠️ Bias, Risks, and Limitations

Predictions are based on historical correlations and simplified rules; unexpected macro events may invalidate short-term patterns. Do not use the dataset for financial advice or speculative trading without risk assessment.

📚 Citation

If you use this dataset, please cite it as:

Celis, R. (2025). SN28 Miner Richtao Dataset [v1.0]. Hugging Face Datasets. https://huggingface.co/datasets/raulcel/sn28-miner-richtao-dataset

📬 Contact

For questions or updates, contact: raulcel (at) huggingface (dot) co