| --- |
| license: apache-2.0 |
| task_categories: |
| - token-classification |
| language: |
| - en |
| tags: |
| - finance |
| pretty_name: buster |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
|
|
| # Dataset Card for BUSTER |
| BUSiness Transaction Entity Recognition dataset. |
|
|
| BUSTER is an Entity Recognition (ER) benchmark for entities related to business transactions. It consists of a gold corpus of |
| 3779 manually annotated documents on financial transactions that were randomly divided into 5 folds, |
| plus an additional silver corpus of 6196 automatically annotated documents that were created by the model-optimized RoBERTa system. |
