---
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)