Add entry (008f9639) to requests.jsonl

requests.jsonl

@@ -27,3 +27,4 @@
 {"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"]}
+{"id": "008f9639-a334-45c9-a113-2d7b7046e5ba", "type": "dataset", "title": "AINovice2005/carbon-embeddings", "description": "AINovice2005/carbon-embeddings is a derived dataset from the sampled subset of carbon-cpu-enriched-sequences containing dense vector embeddings of biological sequence records.\n\nEach row corresponds to a source sequence identified by record_id. The dataset retains the sequence's position within the processed corpus through start and end and provides a numerical embedding representing the sequence in the embedding model's learned representation space.\n\nThe dataset is intended for downstream embedding-based analysis, including similarity search, clustering, retrieval and visualization.", "submitted_at": "2026-10-26T08:03:39.653Z", "source": "huggingscience.co", "status": "pending", "entry_id": "ainovice2005-carbon-embeddings", "slug": "AINovice2005/carbon-embeddings", "org_id": "AINovice2005", "entry_type": "Genomics", "tags": ["biology", "biotechnology"]}