# Bridge DDS Dataset

This dataset contains bridge deals in Portable Bridge Notation (PBN) format with Double Dummy Solver (DDS) results, generated using [make-dds-dataset](https://github.com/wopdevries/make-dds-dataset). It is designed for reinforcement learning (RL) research in bridge, offering reproducible, ML-ready data.

## Dataset Description
- **Homepage**: [https://github.com/wopdevries/make-dds-dataset](https://github.com/wopdevries/make-dds-dataset)
- **Repository**: [https://github.com/wopdevries/make-dds-dataset](https://github.com/wopdevries/make-dds-dataset)
- **Paper**: None
- **Point of Contact**: Open an issue on the GitHub repository
- **Size**: ~11,293 bytes for 100 deals
- **Format**: TSV with PBN strings (e.g., `N:A2.KT.T763.AKQ87 ...`) and DDS results (20 comma-separated integers for tricks by player and denomination)
- **License**: GPL v3 (code), Apache 2.0 (`libdds.so`)

## Dataset Structure
- **Files**: 
  - `sample_results.tsv`: TSV file with 100 deals, each with a PBN string and DDS results.
  - Columns: 
    - `pbn`: String representing the deal in PBN format.
    - `dds_results`: Sequence of 20 integers (tricks for N, E, S, W in C, D, H, S, NT).
- **Splits**: Single split (`train`) with 100 examples.
- **Example**:
  ```python
  import pandas as pd
  data = pd.read_csv('sample_results.tsv', sep='\t')
  print(data.head())