--- license: odc-by 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 splits: - name: train num_bytes: 13496584244.40846 num_examples: 7677467 download_size: 6045401237 dataset_size: 13496584244.40846 configs: - config_name: default data_files: - split: train path: data/train-* --- # SmolLM-Corpus: Python-Edu (Cleaned) This dataset contains the `python-edu` subset of [SmolLM-Corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus) with the contents of the files stored in a new `text` field. All files were downloaded from the S3 bucket on January the 8th 2025, using the blob IDs from the original dataset with revision `3ba9d605774198c5868892d7a8deda78031a781f`. Only 1 file was marked as not found and the corresponding row removed from the dataset (`content/39c3e5b85cc678d1d54b4d93a55271c51d54126c` which I suspect is caused by a mallformed blob ID), and 980 files were removed (see the next section for more details). Please refer to the original [README](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus/blob/main/README.md#python-edu) for all other information. ## Cleaning 980 files were removed from the dataset due to being low quality. The primary culprits were hardcoded python calculators, massive hardcoded unit tests, files containing lists words, and TSV/CSV data stored as python files. There was also one file that contained an entire Harry Potter book. ## Dataset Features * `blob_id (string)`: Software Heritage (SWH) ID of the file on AWS S3. * `repo_name (string)`: Repository name on GitHub. * `path (string)`: The file path within the repository. * `length_bytes (int64)`: Length of the file content in UTF-8 bytes. * `score (float32)`: The output of the educational scoring model. * `int_score (uint8)`: The rounded educational score. * `text (string)`: The downloaded python file text.