# Feature Extraction Datasets: AI Datasets Source: https://savrn.com/datasets/tasks/feature-extraction Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub · Datasets by Task # Feature Extraction Datasets 12 open-weight feature extraction datasets in the SAVRN Model Hub, with Storage stuff nobody, Than Minh and Robb Doering publishing the most. 12Datasets 10Publishers 7Licenses ## Most Downloaded | Dataset | Publisher | License | Monthly downloads | | --- | --- | --- | --- | | [time-lapse-artifacts](https://savrn.com/datasets/time-lapse-artifacts) | Tim Maxwell | cc-by-nc-4.0 | 12k | | [telco-retrieve-chunks](https://savrn.com/datasets/telco-retrieve-chunks) | Liam Düro | other | 1.6k | | [WSI_Embedding](https://savrn.com/datasets/wsi-embedding) | Than Minh | Not stated | 1.4k | | [ontology](https://savrn.com/datasets/ontology) | NuBerea | cc-by-4.0 | 256 | | [epstein-index](https://savrn.com/datasets/epstein-index) | Robb Doering | other | 80 | | [stories-embedding](https://savrn.com/datasets/stories-embedding) | Storage stuff nobody | Not stated | 13 | | [openai-agent-swarmtraces](https://savrn.com/datasets/openai-agent-swarmtraces) | Rr | Not stated | — | | [Contextual-Embeddings](https://savrn.com/datasets/contextual-embeddings) | Brigham Young University - Idaho | mit | — | | [minicpm-jepa-1b-bf16-vectors](https://savrn.com/datasets/minicpm-jepa-1b-bf16-vectors) | Niko3x | apache-2.0 | — | | [nemotron-math-v2-qwen3.6-35b-a3b-fp8-embeddings-256k](https://savrn.com/datasets/nemotron-math-v2-qwen3-6-35b-a3b-fp8-embeddings-256k) | Jacky | other | — | ## Licenses | License | Datasets | Commercial use | | --- | --- | --- | | other | 3 | Read the license | | not stated | 3 | Not stated | | odc-by | 2 | Read the license | | mit | 1 | Yes | | cc-by-nc-4.0 | 1 | Not without separate permission | | cc-by-4.0 | 1 | Yes | | apache-2.0 | 1 | Yes | ## Who Publishes Them | Publisher | Datasets | | --- | --- | | [Storage stuff nobody](https://savrn.com/model-publishers/storagestuffnobody) | 3 | | [Than Minh](https://savrn.com/model-publishers/thanminh01) | 1 | | [Robb Doering](https://savrn.com/model-publishers/robbd) | 1 | | [NuBerea](https://savrn.com/model-publishers/nuberea) | 1 | | [Niko3x](https://savrn.com/model-publishers/niko3x) | 1 | | [Tim Maxwell](https://savrn.com/model-publishers/maxwellinked) | 1 | ## All 12 Datasets Dataset · Feature extraction ### [time-lapse-artifacts](https://savrn.com/datasets/time-lapse-artifacts) [Tim Maxwell](https://savrn.com/model-publishers/maxwellinked) Time-Lapse Artifacts contains 830 indexed video files documenting one artist's traditional drawing practice from September 17, 2024 through September 18, 2026, with standardized acquisition since July 13, 2025. The recordings began as personal practice documentation and a durable record of manual work. They were not created as a prospective scientific protocol; their organization as a dataset and any research or model-analysis uses are retrospective. Video is the primary published evidence. The archive follows the same creator working in physical media—including pencil, ballpoint pen, fountain pen, brush, graphite, and ink—on fixed-format paper and illustration board. Metadata identifies… Publicly accessible cc-by-nc-4.0 n<1K [View dataset](https://savrn.com/datasets/time-lapse-artifacts) Dataset · Feature extraction ### [telco-retrieve-chunks](https://savrn.com/datasets/telco-retrieve-chunks) [Liam Düro](https://savrn.com/model-publishers/liamduero) Raw ingestion artifacts (ChromaDB vector stores + SQLite FTS5 full-text indexes) produced by telcolens (open-telco-rag) while grid-searching RAG configurations over 3GPP Release 19 specifications, for an MSc thesis benchmarking retrieval-augmented generation over telecom standards (GSMA Open Telco AI Initiative). This is not a datasets.loaddataset()- compatible tabular dataset — it's a folder of persisted vector-database directories, one per (embedding model × chunking strategy × enrichment) combination, meant to be pulled individually and opened with chromadb (see Loading a collection below). The repo totals roughly 2.7 TB across all three grid folders combined — do not snapshotdownload()… Publicly accessible other [View dataset](https://savrn.com/datasets/telco-retrieve-chunks) Dataset · Feature extraction ### [WSI_Embedding](https://savrn.com/datasets/wsi-embedding) [Than Minh](https://savrn.com/model-publishers/thanminh01) Patch and slide embeddings for whole-slide images, plus the run records used to produce them. Original WSIs are not in this repo. They stay on HPC / the source dataset remotes. Do not expect.svs /.tif here. Selective download: pull only embeddings/DHMC-LUAD/titan/... or only Run-Information/prep/TCGA-LUAD. There are two HPC job directories. They are not duplicates of the same run: Use DHMC-LUAD for current coords, masks, and later-model logs. Use DHMC-LUAD-TITAN-CONCH for the original TITAN/CONCH job (SLURM 15450381 / 15450382). Kept encoders (see per-model folders under embeddings/DHMC-LUAD/): TITAN 768, CONCH v1.5 768, CONCH v1 512, Virchow 2560, PRISM 1280, Virchow2 2560, Virchow2 CLS… Publicly accessible 1K