| | --- |
| | 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. |
| | |
