---
dataset_info:
- config_name: dedup
  features:
  - name: title
    dtype: string
  - name: description
    dtype: string
  - name: tags
    sequence: string
  - name: chapter_names
    sequence: string
  - name: chapter_contents
    sequence: string
  - name: language
    dtype: string
  - name: language_confidence
    dtype: float64
  - name: overall_nsfw_score
    dtype: float64
  - name: chapter_nsfw_scores
    sequence: float64
  splits:
  - name: train
    num_bytes: 601170344
    num_examples: 7466
  download_size: 341659219
  dataset_size: 601170344
- config_name: default
  features:
  - name: title
    dtype: string
  - name: description
    dtype: string
  - name: tags
    sequence: string
  - name: chapter_names
    sequence: string
  - name: chapter_contents
    sequence: string
  - name: language
    dtype: string
  - name: language_confidence
    dtype: float64
  - name: overall_nsfw_score
    dtype: float64
  - name: chapter_nsfw_scores
    sequence: float64
  - name: overall_ai_score
    dtype: float64
  - name: chapter_ai_scores
    sequence: float64
  splits:
  - name: train
    num_bytes: 739774729
    num_examples: 8817
  download_size: 420226700
  dataset_size: 739774729
configs:
- config_name: dedup
  data_files:
  - split: train
    path: dedup/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
i would not recommend relying on the nsfw scores for any language other than english (or at all for that matter)  
i eventually got language detection working *okay*, but if you have a better solution please let me know because this still isn't great at handling wonky characters like many of these stories use