metadata
dataset_info:
features:
- name: sentences
sequence: string
- name: labels
sequence: string
splits:
- name: test
num_bytes: 1305703
num_examples: 14
download_size: 397229
dataset_size: 1305703
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
language:
- ko
tags:
- finance
pretty_name: MinDS-Clustering-ko
size_categories:
- n<1K
MinDS-Clustering-ko
- Utilized user questions and intents from the 'Finance/Insurance' category of AIHub's complaint Q&A dataset.
- Constructed a dataset for clustering user intents based on their queries.
- The intent labels are structured as follows:
- Transaction inquiry and management
- Account and card-related services
- Financial transactions and incidents
- Loan-related inquiries
- Insurance and financial product inquiries
- Insurance claims and compensation
- Loss and theft reports
- Product subscription-related inquiries
- Product information and inquiries
- Product cancellation and modification
- Transfer and remittance services
- Authentication and financial transaction services
- Automobile and accident handling
- Balance and account balance inquiries
- Certificate and financial document issuance
- Withdrawal and cash services
- Applied a similar label structure for comparison with FinanceMTEB/MInDS-14-en dataset.