Add entry (5785e471) to requests.jsonl

requests.jsonl

@@ -2,15 +2,16 @@
 {"id": "07b18a04-c6f4-4d02-b461-c0a2c736fb12", "type": "collaboration", "title": "Collab test Emma", "description": "test Emma", "submitted_at": "2026-07-09T11:22:04.419Z", "source": "huggingscience.co", "status": "acknowledged", "email": "emma.scharfmann@huggingface.co", "institution": "huggingface", "reviewed_at": "2026-07-09T11:22:26.995502+00:00"}
 {"id": "ad093265-bf42-4ad7-b8a9-b9782d6681b6", "type": "collaboration", "title": "test", "description": "test test", "submitted_at": "2026-07-09T11:46:40.654Z", "source": "huggingscience.co", "status": "rejected", "email": "emma.scharfmann@huggingface.co", "institution": "huggingface", "reviewed_at": "2026-07-09T11:46:58.791116+00:00", "reject_reason": "test"}
 {"id": "6bc65371-1b9e-407a-85bc-3a4f418b306e", "type": "collaboration", "title": "test Emma", "description": "test Emma", "submitted_at": "2026-07-09T11:58:48.955Z", "source": "huggingscience.co", "status": "acknowledged", "email": "emma.scharfmann@huggingface.co", "institution": "test Emma", "reviewed_at": "2026-07-09T11:59:22.781150+00:00"}
-{"id": "2490ec07-6adf-45f9-ad8d-971571601ffd", "type": "model", "title": "model \u2014 model/model", "description": "test Emma", "submitted_at": "2026-07-09T11:59:12.109Z", "source": "huggingscience.co", "status": "rejected", "entry_id": "model-model", "slug": "model/model", "org_id": "model", "entry_type": "model", "tags": ["mathematics", "engineering"], "name": "model", "reviewed_at": "2026-07-09T11:59:27.887032+00:00", "reject_reason": null}
+{"id": "2490ec07-6adf-45f9-ad8d-971571601ffd", "type": "model", "title": "model — model/model", "description": "test Emma", "submitted_at": "2026-07-09T11:59:12.109Z", "source": "huggingscience.co", "status": "rejected", "entry_id": "model-model", "slug": "model/model", "org_id": "model", "entry_type": "model", "tags": ["mathematics", "engineering"], "name": "model", "reviewed_at": "2026-07-09T11:59:27.887032+00:00", "reject_reason": null}
 {"id": "72fbaac0-9b60-401b-b30d-d17b908d0f74", "type": "collaboration", "title": "test", "description": "test test", "submitted_at": "2026-07-14T12:45:09.061Z", "source": "huggingscience.co", "status": "rejected", "email": "emma.scharfmann@huggingface.co", "institution": "huggingface", "reviewed_at": "2026-07-14T12:45:38.254714+00:00", "reject_reason": null}
-{"id": "6855156a-4f25-442f-aef6-1de72b941e74", "type": "model", "title": "Nesso \u2014 recursionpharma/nesso", "description": "internal request", "submitted_at": "2026-07-22T12:46:31.922Z", "source": "huggingscience.co", "status": "approved", "entry_id": "recursionpharma-nesso", "slug": "recursionpharma/nesso", "org_id": "recursionpharma", "entry_type": "Drug discovery", "tags": ["biology", "genomics", "chemistry"], "name": "Nesso", "reviewed_at": "2026-07-22T12:47:08.812935+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/22"}
+{"id": "6855156a-4f25-442f-aef6-1de72b941e74", "type": "model", "title": "Nesso — recursionpharma/nesso", "description": "internal request", "submitted_at": "2026-07-22T12:46:31.922Z", "source": "huggingscience.co", "status": "approved", "entry_id": "recursionpharma-nesso", "slug": "recursionpharma/nesso", "org_id": "recursionpharma", "entry_type": "Drug discovery", "tags": ["biology", "genomics", "chemistry"], "name": "Nesso", "reviewed_at": "2026-07-22T12:47:08.812935+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/22"}
 {"id": "f92ec68a-b45c-4429-b09c-97e7d4c0517f", "type": "organization", "title": "Recursion Pharmaceuticals", "description": "Pioneering AI-driven solutions in drug discovery", "submitted_at": "2026-07-22T12:49:42.796Z", "source": "huggingscience.co", "status": "approved", "entry_id": "recursionpharma", "name": "Recursion Pharmaceuticals", "org_id": "recursionpharma", "link": "https://huggingface.co/recursionpharma", "tags": ["biology", "genomics", "biotechnology"], "reviewed_at": "2026-07-22T12:50:00.728606+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/23"}
 {"id": "2337b5f8-b211-49bd-8283-37454e420af2", "type": "blog", "title": "ECMWF's AI forecasting model is open source: now let's make it easy to run.", "description": "Open source models are great but sometimes hard to run. This blog post provides tutorials to run ECMWF new AI weather forecast model, AIFS Single 2,0, on any GPU using Hugging Face Jobs or your own hardware.", "submitted_at": "2026-07-29T08:34:49.357Z", "source": "huggingscience.co", "status": "approved", "entry_id": "hugging-science-run-aifs-yourself", "slug": "hugging-science/run-aifs-yourself", "link": "https://huggingface.co/blog/hugging-science/run-aifs-yourself", "date": "2026-07-28", "tags": ["climate", "energy", "earth-science"], "reviewed_at": "2026-07-29T08:35:49.224685+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/25"}
 {"id": "d18256fa-95cc-41f1-ade0-446fc60cdfe5", "type": "dataset", "title": "ananyo01/ARCO-EMARS", "description": "It is a zarr format archive of Mars atmospheric reanalysis data from EMARS", "submitted_at": "2026-08-04T21:26:07.851Z", "source": "huggingscience.co", "status": "pending", "entry_id": "ananyo01-arco-emars", "slug": "ananyo01/ARCO-EMARS", "org_id": "ananyo01", "entry_type": "Space Sciences", "tags": ["astronomy", "physics", "climate"]}
 {"id": "d91f789f-0e97-490e-b9f7-59b6e4d290e9", "type": "dataset", "title": "ananyo01/ARCO-MACDA", "description": "Its a zarr 3 cloud optimized archive of Mars atmospheric ranalysis dataset MACDA", "submitted_at": "2026-08-04T21:28:58.101Z", "source": "huggingscience.co", "status": "pending", "entry_id": "ananyo01-arco-macda", "slug": "ananyo01/ARCO-MACDA", "org_id": "ananyo01", "entry_type": "Space Science", "tags": ["physics", "astronomy", "climate"]}
-{"id": "669ac6df-6451-4e98-8c9e-9154e34d6614", "type": "model", "title": "OpenDDE \u2014 aurekaresearch/OpenDDE", "description": "OpenDDE is an open-source, all-atom biomolecular foundation model that turns co-folding into a scalable engine for structure prediction, design, and optimization in drug discovery.", "submitted_at": "2026-08-06T11:04:10.316Z", "source": "huggingscience.co", "status": "approved", "entry_id": "aurekaresearch-opendde", "slug": "aurekaresearch/OpenDDE", "org_id": "aurekaresearch", "entry_type": "biomolecular foundation model", "tags": ["biology", "chemistry", "genomics"], "name": "OpenDDE", "reviewed_at": "2026-08-06T11:05:59.730214+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/27"}
+{"id": "669ac6df-6451-4e98-8c9e-9154e34d6614", "type": "model", "title": "OpenDDE — aurekaresearch/OpenDDE", "description": "OpenDDE is an open-source, all-atom biomolecular foundation model that turns co-folding into a scalable engine for structure prediction, design, and optimization in drug discovery.", "submitted_at": "2026-08-06T11:04:10.316Z", "source": "huggingscience.co", "status": "approved", "entry_id": "aurekaresearch-opendde", "slug": "aurekaresearch/OpenDDE", "org_id": "aurekaresearch", "entry_type": "biomolecular foundation model", "tags": ["biology", "chemistry", "genomics"], "name": "OpenDDE", "reviewed_at": "2026-08-06T11:05:59.730214+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/27"}
 {"id": "77bfd8a4-5541-4291-aaa1-6c9e99552bc0", "type": "organization", "title": "Open Athena", "description": "Open Athena is a nonprofit that accelerates academia with capabilities from the AI frontier", "submitted_at": "2026-08-10T14:11:35.737Z", "source": "huggingscience.co", "status": "approved", "entry_id": "open-athena", "name": "Open Athena", "org_id": "open-athena", "link": "https://huggingface.co/open-athena", "tags": ["biology", "chemistry"], "reviewed_at": "2026-08-10T14:21:51.860127+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/28"}
-{"id": "9e1f6e02-c7d5-43bc-b810-f7cad78b40aa", "type": "model", "title": "MarinDNA m5.1 1B base model \u2014 marin-dna/marin-dna-exp135-m5.1", "description": "MarinDNA m5.1 is a 1.12B-parameter, nucleotide-level causal language model developed with Marin.", "submitted_at": "2026-08-14T08:19:09.163Z", "source": "huggingscience.co", "status": "approved", "entry_id": "marin-dna-marin-dna-exp135-m5-1", "slug": "marin-dna/marin-dna-exp135-m5.1", "org_id": "marin-dna", "entry_type": "Genomics", "tags": ["biology", "genomics"], "name": "MarinDNA m5.1 1B base model", "reviewed_at": "2026-08-14T08:19:50.690494+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/32"}
-{"id": "fb5fe2d0-83df-4526-9501-7684aaed449b", "type": "model", "title": "OpenDDE \u2014 aurekaresearch/OpenDDE", "description": "OpenDDE is an open-source, all-atom biomolecular foundation model that turns co-folding into a scalable engine for structure prediction, design, and optimization in drug discovery.", "submitted_at": "2026-08-14T13:06:19.993Z", "source": "huggingscience.co", "status": "approved", "entry_id": "aurekaresearch-opendde", "slug": "aurekaresearch/OpenDDE", "org_id": "aurekaresearch", "entry_type": "Biomolecular foundation model", "tags": ["biology", "genomics", "chemistry"], "name": "OpenDDE", "reviewed_at": "2026-08-14T13:06:53.634686+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/33"}
-{"id": "71e89fcc-43da-4b5a-9787-1c1f5e2b53cf", "type": "model", "title": "LULA-1.1 \u2014 omtx/lula-1.1", "description": "LULA-1.1 is a lightweight, sequence-only protein-ligand binding scorer from Om Therapeutics. It takes a protein amino-acid sequence and ligand SMILES and returns a binding score. There is no structure input, docking, or folding step.", "submitted_at": "2026-08-19T07:19:52.986Z", "source": "huggingscience.co", "status": "approved", "entry_id": "omtx-lula-1-1", "slug": "omtx/lula-1.1", "org_id": "omtx", "entry_type": "drug discovery", "tags": ["biology", "genomics"], "name": "LULA-1.1", "reviewed_at": "2026-08-19T07:22:38.393030+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/35"}
+{"id": "9e1f6e02-c7d5-43bc-b810-f7cad78b40aa", "type": "model", "title": "MarinDNA m5.1 1B base model — marin-dna/marin-dna-exp135-m5.1", "description": "MarinDNA m5.1 is a 1.12B-parameter, nucleotide-level causal language model developed with Marin.", "submitted_at": "2026-08-14T08:19:09.163Z", "source": "huggingscience.co", "status": "approved", "entry_id": "marin-dna-marin-dna-exp135-m5-1", "slug": "marin-dna/marin-dna-exp135-m5.1", "org_id": "marin-dna", "entry_type": "Genomics", "tags": ["biology", "genomics"], "name": "MarinDNA m5.1 1B base model", "reviewed_at": "2026-08-14T08:19:50.690494+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/32"}
+{"id": "fb5fe2d0-83df-4526-9501-7684aaed449b", "type": "model", "title": "OpenDDE — aurekaresearch/OpenDDE", "description": "OpenDDE is an open-source, all-atom biomolecular foundation model that turns co-folding into a scalable engine for structure prediction, design, and optimization in drug discovery.", "submitted_at": "2026-08-14T13:06:19.993Z", "source": "huggingscience.co", "status": "approved", "entry_id": "aurekaresearch-opendde", "slug": "aurekaresearch/OpenDDE", "org_id": "aurekaresearch", "entry_type": "Biomolecular foundation model", "tags": ["biology", "genomics", "chemistry"], "name": "OpenDDE", "reviewed_at": "2026-08-14T13:06:53.634686+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/33"}
+{"id": "71e89fcc-43da-4b5a-9787-1c1f5e2b53cf", "type": "model", "title": "LULA-1.1 — omtx/lula-1.1", "description": "LULA-1.1 is a lightweight, sequence-only protein-ligand binding scorer from Om Therapeutics. It takes a protein amino-acid sequence and ligand SMILES and returns a binding score. There is no structure input, docking, or folding step.", "submitted_at": "2026-08-19T07:19:52.986Z", "source": "huggingscience.co", "status": "approved", "entry_id": "omtx-lula-1-1", "slug": "omtx/lula-1.1", "org_id": "omtx", "entry_type": "drug discovery", "tags": ["biology", "genomics"], "name": "LULA-1.1", "reviewed_at": "2026-08-19T07:22:38.393030+00:00", "pr_url": "https://github.com/georgiachanning/huggingscience-dot-co/pull/35"}
+{"id": "5785e471-2ea3-4bfc-9aa7-aa18ca03e9df", "type": "model", "title": "RudolfV 2 — Aignostics/rudolfv-2", "description": "Aignostics recently announced RudolfV 2, the best-performing openly available pathology foundation model to date. The model is built on a ViT-g architecture with approximately 1.1 billion parameters, and includes a dedicated post-training stage that to our knowledge is a first for pathology foundation models. We further distilled RudolfV 2 into two lightweight versions, RudolfV 2-B (ViT-B, 86M parameters) and RudolfV 2-S (ViT-S, 22M parameters), which preserve much of its performance at a fraction of the compute.\n\nHugging Face link: https://huggingface.co/collections/Aignostics/rudolfv-2\n\nMore info: https://www.aignostics.com/blog/rudolfv-2-a-state-of-the-art-open-weight-pathology-foundation-model", "submitted_at": "2026-08-26T20:51:59.985Z", "source": "huggingscience.co", "status": "pending", "entry_id": "aignostics-rudolfv-2", "slug": "Aignostics/rudolfv-2", "org_id": "Aignostics", "entry_type": "Pathology Foundation Model", "tags": ["medicine", "biotechnology"], "name": "RudolfV 2"}