Remove YAML, fix loading script naming for HF dataset viewer

.huggingface.yaml

@@ -1,80 +0,0 @@
----
-# Hugging Face Dataset Metadata
-# Repository: rmems/Metis-OLMoE-Latent-Telemetry
-
-license: gpl-3.0
-
-# Display and Discovery
-pretty_name: "Metis-OLMoE Latent Telemetry: Spikenaut SNN Routing"
-language:
-  - en
-  - code
-tags:
-  - snn
-  - spiking-neural-network
-  - olmoe
-  - mixture-of-experts
-  - quantization
-  - neuromorphic
-  - telemetry
-  - semantic-routing
-  - latent-space
-  - cuda
-  - rust
-  - gguf
-  - saaq
-  - attractor-clustering
-  
-# Model Lineage
-datasets:
-  - allenai/OLMoE-1B-7B-0125-Instruct-GGUF
-
-# Task and Size
-task_categories:
-  - text-generation
-  - feature-extraction
-  - text-classification
-size_categories:
-  - n<1K
-
-# Dataset Information
-dataset_info:
-  - config_name: default
-    features:
-      - name: tick
-        dtype: int64
-      - name: best_walker
-        dtype: int64
-      - name: elapsed_us
-        dtype: int64
-    splits:
-      - name: test
-        num_bytes: 818486
-        num_examples: 20000
-
-# Model Card Data
-model-index:
-  - name: Metis-OLMoE-Latent-Telemetry
-    results: []
-
-# Additional Metadata
-metadata:
-  version: "1.0.0"
-  base_model: "OLMoE-1B-7B-0125-Instruct-GGUF"
-  base_model_source: "allenai/OLMoE-1B-7B-0125-Instruct-GGUF"
-  architecture: "Mixture of Experts (MoE)"
-  parameters: "1B active / 7B total"
-  quantization: "GGUF"
-  research_purpose: "Map physical routing of LLM embeddings via biologically-inspired neuronal fatigue mechanics"
-  primary_discovery: "Semantic Attractor Clustering"
-  derivation_pipeline: "corinth-canal"
-  technique: "SAAQ (Semantic Attractor Architecture Quantization)"
-  visualization_tool: "Surrogate_Viz.jl"
-  hardware:
-    gpu: "ASUS ProArt GeForce RTX 5080 (16GB VRAM)"
-    cpu: "AMD Ryzen 9 9950X"
-    os: "Fedora 43"
-    workstation: "Ship of Theseus"
-  related_repos:
-    - https://github.com/Limen-Neural/corinth-canal
-    - https://github.com/Spikenaut/Surrogate_Viz.jl

metis-ol_mo_e-latent-telemetry.py → metis_ol_moe_latent_telemetry.py

@@ -6,7 +6,7 @@ from datasets import Dataset, Features, Value
 logger = datasets.logging.get_logger(__name__)
 
 
-class MetisOlmoeLatentTelemetry(datasets.GeneratorBasedBuilder):
+class MetisOlMOELatentTelemetry(datasets.GeneratorBasedBuilder):
     """Metis OLMoE Latent Telemetry dataset for SNN routing research."""
 
     VERSION = datasets.Version("1.0.0")