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---
dataset_info:
features:
- name: text
dtype: string
- name: label_text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 743519
num_examples: 1000
download_size: 397667
dataset_size: 743519
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- ko
tags:
- finance
pretty_name: Industry-CLS-ko
size_categories:
- 1K<n<10K
---
## Industry-CLS-ko
- A task to **classify sentences from Korean industry analysis reports** into different industry sectors.
- There are 10 industry labels: ['Construction', 'Semiconductors', 'Petrochemicals', 'Retail', 'Banking', 'Food & Beverage', 'Automobile', 'Shipbuilding', 'Steel & Metals', 'Telecommunications'].
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