Add entry (bcfd016d) to requests.jsonl

requests.jsonl

@@ -26,3 +26,4 @@
 {"id": "b8c4624b-259e-4daa-aea9-a3b809d96a36", "type": "model", "title": "STRUCTURES25 — sciai-lab/structures25", "description": "Pretrained models for optimizing molecular electron densities and energies, developed by SciAI Lab, Heidelberg University. Equivariant graph neural networks learn the kinetic-plus-exchange-correlation energy functional from reference DFT data.", "submitted_at": "2026-09-16T12:15:14.548Z", "source": "huggingscience.co", "status": "approved", "entry_id": "sciai-lab-structures25", "slug": "sciai-lab/structures25", "org_id": "sciai-lab", "entry_type": "electron-density", "tags": ["chemistry"], "name": "STRUCTURES25", "reviewed_at": "2026-09-16T12:17:56.348763+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/46"}
 {"id": "d0648134-d528-44db-93ba-84512fabb11c", "type": "model", "title": "HiRO-ACEv2 — allenai/HiRO-ACEv2", "description": "The HiRO-ACEv2 framework enables efficient generation of 3 km precipitation, 10 m eastward and northward winds, and sea level pressure fields over decades of simulated climate and arbitrary regions of the globe.", "submitted_at": "2026-10-15T16:13:19.742Z", "source": "huggingscience.co", "status": "pending", "entry_id": "allenai-hiro-acev2", "slug": "allenai/HiRO-ACEv2", "org_id": "allenai", "entry_type": "Climate", "tags": ["earth-science", "climate"], "name": "HiRO-ACEv2"}
 {"id": "d46598bf-d790-4ba8-861d-50eb3527ce65", "type": "model", "title": "OlmoEarth v1.3 — allenai/OlmoEarth-v1_3-Base", "description": "OlmoEarth-v1_3-Base is a ViT-Base (128M parameters) foundation model for remote sensing tasks over Sentinel-1, Sentinel-2, and Landsat images or image time series.", "submitted_at": "2026-10-23T08:17:43.118Z", "source": "huggingscience.co", "status": "pending", "entry_id": "allenai-olmoearth-v1-3-base", "slug": "allenai/OlmoEarth-v1_3-Base", "org_id": "allenai", "entry_type": "Foundation model for remote sensing tasks", "tags": ["earth-science"], "name": "OlmoEarth v1.3"}
+{"id": "bcfd016d-a66a-43ea-aa5e-56e6493947dd", "type": "dataset", "title": "AINovice2005/carbon-cpu-enriched-sequences", "description": "A CPU-enriched subset of the carbon pretraining corpus (eukaryote_generator), combining original source fields with normalized sequences and row-level features for quality analysis, GPU enrichment and embedding generation.", "submitted_at": "2026-10-26T08:02:33.221Z", "source": "huggingscience.co", "status": "pending", "entry_id": "ainovice2005-carbon-cpu-enriched-sequences", "slug": "AINovice2005/carbon-cpu-enriched-sequences", "org_id": "AINovice2005", "entry_type": "Genomics", "tags": ["biology", "biotechnology"]}