datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
schemaforge-ai-research-and-development-9
huggingface.co
Auto-refined by SchemaForge
Metadata
Topic: AI Research and Development
Quality Score: 0.95
Source: Autonomous web scraper
Extracted Facts
The Fast Gemma Challenge is a verified-SOTA recipe
Training a coding agent using the OpenCode harness
Lattice is an 8 MB static retriever that embeds Wikipedia in 7 minutes
Model Genome fingerprints whether an LLM was trained from scratch or derived
LFM2.5-Encoders enable fast long-context… See the full description on the dataset page: https://huggingface.co/datasets/GudduButt/schemaforge-ai-research-and-development-9.schemaforge-ai-research-and-development-8
huggingface.co
Auto-refined by SchemaForge
Metadata
Topic: AI Research and Development
Quality Score: 0.95
Source: Autonomous web scraper
Extracted Facts
The Fast Gemma Challenge is a verified-SOTA recipe
Training a coding agent using the OpenCode harness
Lattice is an 8 MB static retriever that embeds Wikipedia in 7 minutes
Model Genome fingerprints whether an LLM was trained from scratch or derived
LFM2.5-Encoders enable fast long-context… See the full description on the dataset page: https://huggingface.co/datasets/GudduButt/schemaforge-ai-research-and-development-8.