README.md

---
dataset_info:
  features:
  - name: blob_id
    dtype: string
  - name: repo_name
    dtype: string
  - name: path
    dtype: string
  - name: length_bytes
    dtype: int64
  - name: score
    dtype: float64
  - name: int_score
    dtype: int64
  - name: text
    dtype: string
  - name: is_english
    dtype: bool
  splits:
  - name: train
    num_bytes: 1226088650
    num_examples: 1018270
  download_size: 626200552
  dataset_size: 1226088650
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
Dataset created with this filter from Avelina/python-edu.
```
def my_filter(example):
    score = example["score"] > 4.1
    lengh = example["length_bytes"] < 3000 and example["length_bytes"] > 200
    return score and lengh
```
A is_english boolean have been added with the model papluca/xlm-roberta-base-language-detection.