| | --- |
| | dataset_info: |
| | - config_name: raw |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: score |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 641750068 |
| | num_examples: 312352 |
| | download_size: 373614461 |
| | dataset_size: 641750068 |
| | - config_name: scored_over_2 |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: score |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 467388707.99327683 |
| | num_examples: 227487 |
| | download_size: 285736778 |
| | dataset_size: 467388707.99327683 |
| | - config_name: scored_over_3 |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: score |
| | dtype: float64 |
| | splits: |
| | - name: train |
| | num_bytes: 133878048.42276663 |
| | num_examples: 65161 |
| | download_size: 104199742 |
| | dataset_size: 133878048.42276663 |
| | configs: |
| | - config_name: raw |
| | data_files: |
| | - split: train |
| | path: raw/train-* |
| | - config_name: scored_over_2 |
| | data_files: |
| | - split: train |
| | path: scored_over_2/train-* |
| | - config_name: scored_over_3 |
| | data_files: |
| | - split: train |
| | path: scored_over_3/train-* |
| | default: true |
| | license: cc-by-sa-4.0 |
| | task_categories: |
| | - text-generation |
| | language: |
| | - ko |
| | size_categories: |
| | - 10K<n<100K |
| | - 100K<n<1M |
| | --- |
| | |
| | ## 🇰🇷📚 korean-wikipedia-edu |
| |
|
| | [devngho/korean_wikipedia](https://huggingface.co/datasets/devngho/korean_wikipedia)의 20240701-filtered subset을 [devngho/ko_edu_classifier_v2_nlpai-lab_KoE5](https://huggingface.co/devngho/ko_edu_classifier_v2_nlpai-lab_KoE5) 모델로 평가한 데이터셋 |
| |
|
| | ### 불러오기 |
| |
|
| | ```py |
| | from datasets import load_dataset |
| | |
| | ds = load_dataset("devngho/korean-wikipedia-edu", name="scored_over_3", split="train") |
| | ``` |
| |
|
| | ### 성능 |
| |
|
| | 예정 |
| |
|
| | ### 컴퓨팅 |
| |
|
| | Google Cloud TPU, transformers, [JAX](https://github.com/jax-ml/jax), [tpuswarm](https://github.com/devngho/tpuswarm) |
| |
|
| | #### 하드웨어 |
| |
|
| | TPU v4-8 x 4 instances, 약 10분 소요 |
| |
|
| | 이 연구는 Google의 TPU Research Cloud [(TRC)](https://sites.research.google/trc/about/)의 Cloud TPU 제공으로 수행되었습니다. ⚡ |
| |
|
| | ### 라이선스 |
| |
|
| | 한국어 위키백과의 [CC BY-SA 4.0 DEED](https://creativecommons.org/licenses/by-sa/4.0/deed.ko) 라이선스에 따라 이 데이터셋에는 [CC BY-SA 4.0 DEED](https://creativecommons.org/licenses/by-sa/4.0/deed.ko) 라이선스가 적용됩니다. |
