{
 "id": "windchimeran/GMRID",
 "owner": "windchimeran",
 "name": "GMRID",
 "downloads": 33,
 "likes": 0,
 "last_modified": "2026-05-07T22:22:25.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "unknown",
 "licence_link": "https://github.com/inflaton/llms-at-edge",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{llms_at_edge_2025,\n  title={LLMs at the Edge: Performance and Efficiency Evaluation with Ollama on Diverse Hardware},\n  booktitle={International Joint Conference on Neural Networks (IJCNN)},\n  year={2025},\n  note={Paper ID: 1443},\n  url={https://github.com/inflaton/llms-at-edge}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "d62f7926c1448e2137032dd10f83d868145817e8",
 "stated_evidence": "https://huggingface.co/datasets/windchimeran/GMRID/blob/d62f7926c1448e2137032dd10f83d868145817e8/README.md",
 "file_evidence": "https://huggingface.co/datasets/windchimeran/GMRID/tree/d62f7926c1448e2137032dd10f83d868145817e8",
 "card_nc": false
}