Update metadata.jsonl

metadata.jsonl

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-{"@context": "http://schema.org", "@type": "Dataset", "name": "Bridge DDS Dataset", "description": "Bridge deals in PBN format with DDS results", "license": "https://www.gnu.org/licenses/gpl-3.0.html, https://www.apache.org/licenses/LICENSE-2.0"}
+# 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())