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| dataset_info: | |
| features: | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 4814896123 | |
| num_examples: 5468096 | |
| download_size: 2179440546 | |
| dataset_size: 4814896123 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: odc-by | |
| task_categories: | |
| - text-generation | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - code | |
| - coding | |
| - py | |
| - python | |
| - pretraining | |
| - train | |
| - fine | |
| - clean | |
| - filtered | |
| - smollm | |
| - python edu | |
| - edu | |
| - SLM | |
| - smol | |
| - programming | |
| - github | |
| pretty_name: Python For The Smol | |
| size_categories: | |
| - 1M<n<10M | |
| # SmolPyEdu | |
| This dataset aims to be a **very solid option** for pre-training general-purpose or coding/programming **SLMs and TLMs**. | |
| It takes **Avelina/python-edu-cleaned**, filters for **only working scripts**, removes all comments, and leaves only **clean, short scripts**. | |
| It inherits the same **odc-by** license as the source. | |
| ### Dataset Details | |
| - **Curated by:** MoreThought | |
| - **Funded by:** MoreThought | |
| - **Shared by:** MoreThought | |
| - **License:** odc-by | |
| ### Dataset Sources | |
| - **Used:** https://huggingface.co/datasets/Avelina/python-edu-cleaned | |
| - **Original:** https://huggingface.co/datasets/Avelina/python-edu | |
| - **Source:** https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus | |
| ## Uses | |
| - Pre-training general-purpose or coding/programming SLMs and TLMs | |
| - Pre-training general-purpose or coding/programming LLMs of any kind in general | |
| - Post-training general-purpose or coding/programming SLMs and TLMs to stop using comments | |
| ## Stats | |
| | **Total compressed size** | **Max script size** | **Size reduction VS used** | | |
| | ------------------------- | ------------------- | -------------------------- | | |
| | **2.18 GB** | **100 lines** | **2.775x** | |