The most comprehensive open dataset for training LLMs to translate natural language network intents into spec-compliant 5G/6G configurations.
25,000 samples (22,500 train / 2,500 test) of natural language intents paired with structured network configurations across 6 target specification layers and 8 lifecycle operations, all grounded in real telecom standards.
What Makes This Dataset Unique… See the full description on the dataset page: https://huggingface.co/datasets/nraptisss/TMF921-intent-to-config-25k.
