supabase
Datasets
All datasets matching “supabase”dbpedia-openai-3-large-1M1 million OpenAI Embeddings - 3072 dimensions
Created: February 2024.
Text used for Embedding: title (string) + text (string)
Embedding Model: text-embedding-3-large
Credits:
This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity
supabase-evals-traces
supabase-evals-traces
Traces generated on DGX Sparks while evaluating various models from supabase/evals — a
leaderboard of agent tasks for building, deploying, investigating, and fixing
Supabase apps/databases. Scoring uses the task-specific EVAL.ts checks as upstream
pnpm eval (named PASS/FAIL rubrics; binary reward only when every check
passes) where certain tasks are also judged via judge-llm (DeepSeek V4 Flash 0731).
This dataset was collected with OpenCode as the agent… See the full description on the dataset page: https://huggingface.co/datasets/dmnsh/supabase-evals-traces.wikipedia-en-embeddings
OpenAI, all-MiniLM-L6-v2, GTE-small embeddings for Wikipedia Simple English
Texts and OpenAI embeddings are genereted by Stephan Sturges, big thanks for sharing this dataset.
Here we added embeddings for all-MiniLM-L6-v2 and GTE-small.
Total 224,482 vectors for each model.
Notes
These are the embeddings and corresponded simplified articles from the wikipedia "simple english" dump.
Please see wikipedia's licensing for usage information:… See the full description on the dataset page: https://huggingface.co/datasets/Supabase/wikipedia-en-embeddings.omnimcp_supabase_row_level_security_ai_teaser
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_supabase_row_level_security_ai_teaser.Supabase