| dataset_info: | |
| features: | |
| - name: instruction | |
| dtype: string | |
| - name: input | |
| dtype: string | |
| - name: output | |
| dtype: string | |
| license: mit | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| size_categories: | |
| - n<1K | |
| pretty_name: OpenCLAW SEED Training Data | |
| # 🌱 OpenCLAW SEED Training Data | |
| Autonomous self-growing training dataset for the OpenCLAW SEED system. | |
| ## What is this? | |
| This dataset is **continuously growing**. Every 6 hours, the SEED harvester collects new training data from: | |
| - ArXiv papers on neuromorphic computing, physics-based AI, and AGI | |
| - Semantic Scholar research database | |
| - Our own GitHub repositories (57 repos) | |
| - Agent interaction logs and self-reflection | |
| ## Format | |
| Standard instruction-following JSONL: | |
| ```json | |
| {"instruction": "...", "input": "...", "output": "..."} | |
| ``` | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("Agnuxo/OpenCLAW-SEED-data", data_files="training_dataset.jsonl") | |
| ``` | |
| ## Growth History | |
| This dataset grows autonomously. The SEED system harvests, curates, and expands it without human intervention. | |
| Created by Francisco Angulo de Lafuente | [GitHub](https://github.com/Agnuxo1) | [ArXiv](https://arxiv.org/search/cs?searchtype=author&query=de+Lafuente,+F+A) | |