Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
Korean
Size:
10K - 100K
metadata
annotations_creators:
- expert-generated
language:
- ko
multilinguality: monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
pretty_name: Credit Rating Prediction Dataset
Credit Rating Prediction Dataset
Features
Columns:
credit_ratingrevenueoperating_profitnet_incometotal_assetstotal_liabilitiestotal_equitycapitaloperating_cash_flowinterest_bearing_debtdebt_ratioROAROEasset_turnover_ratiointerest_to_assets_ratiointerest_to_revenue_ratiocash_flow_to_interestinterest_to_cash_flowlog_total_assetslog_total_liabilities
Task: Predict
credit_ratingbased on financial indicators
Splits
| Split | Size |
|---|---|
| Train | 44,900 |
| Validation | 100 |
| Test | 5,000 |
License
MIT (or your choice)