README.md

---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
- config_name: unfiltered
  data_files:
  - split: train
    path: unfiltered/train-*
dataset_info:
- config_name: default
  features:
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: dump
    dtype: string
  - name: source
    dtype: string
  - name: word_count
    dtype: int64
  - name: flesch_reading_ease
    dtype: float64
  splits:
  - name: train
    num_bytes: 2003343392.8658142
    num_examples: 223162
  - name: validation
    num_bytes: 52722397.8378977
    num_examples: 5873
  - name: test
    num_bytes: 52722397.8378977
    num_examples: 5873
  download_size: 1137457027
  dataset_size: 2108788188.5416098
- config_name: unfiltered
  features:
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: dump
    dtype: string
  - name: source
    dtype: string
  - name: word_count
    dtype: int64
  - name: flesch_reading_ease
    dtype: float64
  splits:
  - name: train
    num_bytes: 3452998372
    num_examples: 384646
  download_size: 1859375824
  dataset_size: 3452998372
source_datasets: mponty/code_tutorials
license: odc-by
task_categories:
- text-generation
language:
- en
size_categories:
- 100K<n<1M
---
# Dataset Card for "code-tutorials-en"

- `en` only
- 100 words or more
- reading ease of 50 or more

```
DatasetDict({
    train: Dataset({
        features: ['text', 'url', 'dump', 'source', 'word_count', 'flesch_reading_ease'],
        num_rows: 223162
    })
    validation: Dataset({
        features: ['text', 'url', 'dump', 'source', 'word_count', 'flesch_reading_ease'],
        num_rows: 5873
    })
    test: Dataset({
        features: ['text', 'url', 'dump', 'source', 'word_count', 'flesch_reading_ease'],
        num_rows: 5873
    })
})
```