README.md

metadata

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_wikipedia의 20240701-filtered subset을 devngho/ko_edu_classifier_v2_nlpai-lab_KoE5 모델로 평가한 데이터셋

불러오기

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, tpuswarm

하드웨어

TPU v4-8 x 4 instances, 약 10분 소요

이 연구는 Google의 TPU Research Cloud (TRC)의 Cloud TPU 제공으로 수행되었습니다. ⚡

라이선스

한국어 위키백과의 CC BY-SA 4.0 DEED 라이선스에 따라 이 데이터셋에는 CC BY-SA 4.0 DEED 라이선스가 적용됩니다.