Datasets:
| # Business Entity Resolution Dataset - Embedding Friendly Scenario | |
| Scenario: `data-splink` | |
| This synthetic dataset is designed for Vietnamese text-based Entity Resolution / Record Linkage research. | |
| It intentionally weakens exact identifiers and creates cross-source textual variation so that language embeddings can contribute beyond traditional fuzzy matching. | |
| ## Design choices | |
| - High `tax_code` missing/noisy rate. | |
| - Cross-source schema mismatch. | |
| - Vietnamese text variants: missing diacritics, token merge, token order swap, legal type abbreviation, English translation, short-name-only variants. | |
| - Hard negatives: similar names, same address, same representative, same short name across different true entities. | |
| ## Important files | |
| - `canonical/canonical_business_entity.csv`: synthetic clean entity layer. | |
| - `observed/*.csv`: raw source tables with different schemas. | |
| - `evaluation/ground_truth_entity_map.csv`: record-to-entity ground truth. | |
| - `evaluation/evaluation_labels.csv`: pair-level labels for model evaluation. | |
| - `metadata/dataset_summary.json`: quality summary. | |
| This notebook exports raw source tables only. It does not create a linkage view in advance. | |
| The linkage view should be created later inside the matching pipeline notebook. |