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--- |
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license: apache-2.0 |
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task_categories: |
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- token-classification |
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language: |
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- en |
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tags: |
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- finance |
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pretty_name: buster |
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size_categories: |
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- 10K<n<100K |
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configs: |
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- config_name: default |
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data_files: |
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- split: FOLD_1 |
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path: "FOLD_1.json" |
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- split: FOLD_2 |
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path: "FOLD_2.json" |
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- split: FOLD_3 |
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path: "FOLD_3.json" |
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- split: FOLD_4 |
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path: "FOLD_4.json" |
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- split: FOLD_5 |
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path: "FOLD_5.json" |
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- split: SILVER |
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path: "SILVER.json" |
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dataset_info: |
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features: |
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- name: document_id |
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dtype: string |
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- name: tokens |
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sequence: string |
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- name: labels |
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sequence: |
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class_label: |
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names: |
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'0': O |
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'1': B-Parties.BUYING_COMPANY |
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'2': I-Parties.BUYING_COMPANY |
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'3': B-Parties.SELLING_COMPANY |
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'4': I-Parties.SELLING_COMPANY |
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'5': B-Parties.ACQUIRED_COMPANY |
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'6': I-Parties.ACQUIRED_COMPANY |
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'7': B-Advisors.LEGAL_CONSULTING_COMPANY |
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'8': I-Advisors.LEGAL_CONSULTING_COMPANY |
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'9': B-Advisors.GENERIC_CONSULTING_COMPANY |
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'10': I-Advisors.GENERIC_CONSULTING_COMPANY |
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'11': B-Generic_Info.ANNUAL_REVENUES |
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'12': I-Generic_Info.ANNUAL_REVENUES |
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splits: |
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- name: FOLD_1 |
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num_bytes: 11508541 |
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num_examples: 753 |
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- name: FOLD_2 |
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num_bytes: 11409488 |
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num_examples: 759 |
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- name: FOLD_3 |
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num_bytes: 11524994 |
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num_examples: 758 |
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- name: FOLD_4 |
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num_bytes: 11714536 |
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num_examples: 755 |
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- name: FOLD_5 |
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num_bytes: 11543314 |
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num_examples: 754 |
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- name: SILVER |
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num_bytes: 94702584 |
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num_examples: 6196 |
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download_size: 20824877 |
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dataset_size: 152403457 |
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--- |
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# Dataset Card for BUSTER |
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BUSiness Transaction Entity Recognition dataset. |
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BUSTER is an Entity Recognition (ER) benchmark for entities related to business transactions. It consists of a gold corpus of |
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3779 manually annotated documents on financial transactions that were randomly divided into 5 folds, |
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plus an additional silver corpus of 6196 automatically annotated documents that were created by the model-optimized RoBERTa system. |
