README.md

---
license: odc-by
size_categories:
- 10K<n<100K
dataset_info:
- config_name: clean
  features:
  - name: meta
    struct:
    - name: publication_date
      dtype: int64
    - name: short_book_title
      dtype: string
    - name: url
      dtype: string
  - name: text
    dtype: string
  - name: first_25k
    dtype: string
  - name: label
    dtype: string
  - name: score
    dtype: float64
  splits:
  - name: train
    num_bytes: 11298462885
    num_examples: 26372
  download_size: 7022857617
  dataset_size: 11298462885
- config_name: default
  features:
  - name: meta
    struct:
    - name: publication_date
      dtype: int64
    - name: short_book_title
      dtype: string
    - name: url
      dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 10580548205.687407
    num_examples: 26372
  download_size: 6635583644
  dataset_size: 10580548205.687407
- config_name: embeddings-jina-base
  features:
  - name: meta
    struct:
    - name: publication_date
      dtype: int64
    - name: short_book_title
      dtype: string
    - name: url
      dtype: string
  - name: text
    dtype: string
  - name: embedding
    sequence: float64
  splits:
  - name: train
    num_bytes: 10801330292
    num_examples: 26372
  download_size: 6772846092
  dataset_size: 10801330292
configs:
- config_name: clean
  data_files:
  - split: train
    path: clean/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
- config_name: embeddings-jina-base
  data_files:
  - split: train
    path: embeddings-jina-base/train-*
---
# Dataset Card for "rp_books-en"

The `default` config:
```python
Dataset({
    features: ['meta', 'text'],
    num_rows: 26372
})
```



## token count 



GPT-4 tiktoken token count:

```
        token_count
count  2.637200e+04
mean   1.009725e+05
std    1.161315e+05
min    3.811000e+03
25%    3.752750e+04
50%    7.757950e+04
75%    1.294130e+05
max    8.687685e+06
```

Total count:	2662.85 M tokens