embeddings
daily-papers-embeddingsCore-AlphaEarth-Embeddings
Major TOM Core AlphaEarth Embeddings Subset
This is a prototype dataset. It only includes some of the AlphaEarth embeddings stored in Major TOM grid cells.
This dataset is mostly aimed at experimentation and prototyping. It is particularly useful to use it along other datasets published within the Major TOM project.
Content
Field
Type
Description
grid_cell
string
Major TOM cell
year
int
year of the sample
thumbnail
image
3-dimensional PCA… See the full description on the dataset page: https://huggingface.co/datasets/Major-TOM/Core-AlphaEarth-Embeddings.forecast-news-embeddings
Forecast News Embeddings
Precomputed LanceDB table used for keyword, semantic, and hybrid retrieval in
forecast-sim and future-sim.
Snapshot
7,911,857 indexed source articles
16,207,764 text chunks
Coverage: 2023-01-11 through 2026-08-31
Snapshot published: 2026-09-18
Lance dataset version: 856
Total artifact size: approximately 303.2 GiB
Articles with empty searchable text are not represented. Long articles can
produce multiple chunks, so the chunk count is… See the full description on the dataset page: https://huggingface.co/datasets/shash42/forecast-news-embeddings.bible-embeddings
Bible Embeddings
A comprehensive tool for generating and evaluating Bible verse embeddings using various state-of-the-art embedding models. This project supports both commercial APIs (OpenAI, Google Gemini, Voyage AI) and open-source models (HuggingFace sentence-transformers) for semantic search across biblical texts.
Setup
This project is managed with uv. Make sure you have uv installed, then set up the project:
# Install dependencies
uv sync
# Install specific… See the full description on the dataset page: https://huggingface.co/datasets/LetsChurch/bible-embeddings.latent-sr-embeddings
Latent-SR Embeddings: Precomputed VAE Latents for Medical Image Super-Resolution
Precomputed VAE latent embeddings from the paper:
"Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution"Sebastian Cajas, Ashaba Judith, Rahul Gorijavolu, Sahil Kapadia, Hillary Clinton Kasimbazi, Leo Kinyera, Emmanuel Paul Kwesiga, Sri Sri Jaithra Varma Manthena, Luis Filipe Nakayama, Ninsiima Doreen, Leo Anthony Celi.arXiv:2604.12152 (2026)… See the full description on the dataset page: https://huggingface.co/datasets/sebasmos/latent-sr-embeddings.Caselaw_Access_Project_embeddingsThis is an embeddings dataset for the Caselaw Access Project, created by a user named Endomorphosis.
Each caselaw entry is hashed with IPFS / multiformats, so retrieval of the document can be made over the IPFS / filecoin network
The ipfs content id "cid" is the primary key that links the dataset to the embeddings, should you want to retrieve from the dataset instead.
The dataset has been had embeddings generated with three models: thenlper/gte-small, Alibaba-NLP/gte-large-en-v1.5, and… See the full description on the dataset page: https://huggingface.co/datasets/justicedao/Caselaw_Access_Project_embeddings.