metadata
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:
{"instruction": "...", "input": "...", "output": "..."}
Usage
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.