Dataset · Hugging Face

Tejaskumar/Emergent-NCA-Sequences-5M

Name: Emergent-NCA-Sequences-5M
Creator: Tejaskumar
License: mit
Keywords: task_categories:text-generation, task_categories:feature-extraction, language:en, license:mit, size_categories:1M<n<10M, region:us, synthetic, neural-cellular-automata, symbolic-dynamics, reasoning, sequence-modeling, world-models

✨ Why this dataset? Emergent NCA Sequences 5M generates complex global behaviors entirely from frozen random Neural Cellular Automata. What makes this approach powerful? Controlled Diversity: Each rollout uses a fresh set of random weights, creating massive diversity in dynamical systems without hand-crafting rules. Stable Semantics: Continuous hidden states are compressed into a global 32-token vocabulary (centroids.pt), guaranteeing… See the full description on the dataset page: https://huggingface.co/datasets/Tejaskumar/Emergent-NCA-Sequences-5M.

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Author / organization	Tejaskumar
License (as declared)	mit
Downloads	232 (as reported by Hugging Face)
Likes	8
Created	14 May 2026
Last updated at source	17 June 2026

syntheticneural-cellular-automatasymbolic-dynamicsreasoningsequence-modelingworld-models

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