| language: | |
| - en | |
| - fr | |
| license: mit | |
| task_categories: | |
| - text-generation | |
| - translation | |
| pretty_name: Keep it simple ! | |
| size_categories: | |
| - 100K<n<1M | |
| # keep-it-simple | |
| **Objective:** An ultra-minimalist dataset for pre-training tiny language models. The logic relies on **bidirectional symmetry** (**A is B and B is A]**) to foster deep semantic understanding. By training the model to predict the "prompt" from the "text" and vice versa, we maximize the utility of every pair. | |
| ## Data Sources | |
| * **Simple English Wikipedia**: Simplified encyclopedic articles. | |
| * **Vikidia (FR)**: Educational content for younger audiences. | |
| * **[OPUS Books (en-fr)](https://aclanthology.org/L12-1246/)**: Aligned English-French literary translations. | |
| * **[Cosmopedia-100k](https://huggingface.co/blog/cosmopedia)**: Synthetic educational content. | |
| ## Structure | |
| | Column | Description | | |
| | --- | --- | | |
| | `prompt` | Input (concept, title, or English translation). | | |
| | `text` | Output (explanation, summary, or French translation). | | |
| | `seed_data` | Origin identifier (traceability). | | |
| ## Context & Usage | |
| * **Bidirectional Training**: Each source item yields two training entries (`prompt` $\rightarrow$ `text` and `text` $\rightarrow$ `prompt`). This enforces semantic symmetry, [reversal curve](https://arxiv.org/abs/2309.12288) and limitate span corruption. | |
| * **Minimalism**: More compact than the **[BabyLM](https://arxiv.org/abs/2602.20092)** challenge; focused on density and the purity of pairs to maximize efficiency on tiny, resource-constrained architectures. | |
| * **Goal**: Rapid testing of alignment theories and training "pocket" models for fundamental, bidirectional interactions. | |
| *This dataset is a minimalist research tool.* |