| --- |
| 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. |
| |
