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---
license: apache-2.0
task_categories:
- token-classification
language:
- en
tags:
- finance
pretty_name: buster
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: FOLD_1
path: "FOLD_1.json"
- split: FOLD_2
path: "FOLD_2.json"
- split: FOLD_3
path: "FOLD_3.json"
- split: FOLD_4
path: "FOLD_4.json"
- split: FOLD_5
path: "FOLD_5.json"
- split: SILVER
path: "SILVER.json"
dataset_info:
features:
- name: document_id
dtype: string
- name: tokens
sequence: string
- name: labels
sequence:
class_label:
names:
'0': O
'1': B-Parties.BUYING_COMPANY
'2': I-Parties.BUYING_COMPANY
'3': B-Parties.SELLING_COMPANY
'4': I-Parties.SELLING_COMPANY
'5': B-Parties.ACQUIRED_COMPANY
'6': I-Parties.ACQUIRED_COMPANY
'7': B-Advisors.LEGAL_CONSULTING_COMPANY
'8': I-Advisors.LEGAL_CONSULTING_COMPANY
'9': B-Advisors.GENERIC_CONSULTING_COMPANY
'10': I-Advisors.GENERIC_CONSULTING_COMPANY
'11': B-Generic_Info.ANNUAL_REVENUES
'12': I-Generic_Info.ANNUAL_REVENUES
splits:
- name: FOLD_1
num_bytes: 11508541
num_examples: 753
- name: FOLD_2
num_bytes: 11409488
num_examples: 759
- name: FOLD_3
num_bytes: 11524994
num_examples: 758
- name: FOLD_4
num_bytes: 11714536
num_examples: 755
- name: FOLD_5
num_bytes: 11543314
num_examples: 754
- name: SILVER
num_bytes: 94702584
num_examples: 6196
download_size: 20824877
dataset_size: 152403457
---
# 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. |