datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sonic-o1
SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding
🎯 What is SONIC-O1?
The first open-source benchmark for evaluating omnimodal video understanding with systematic fairness analysis. SONIC-O1 requires models to jointly process audio, video, and social context from real-world interactions—not just transcripts.
Key… See the full description on the dataset page: https://huggingface.co/datasets/vector-institute/sonic-o1.HumaniBench
HumaniBench: A Human-Centric Benchmark for Large Multimodal Models Evaluation
**HumaniBench** is a benchmark for evaluating large multimodal models (LMMs) using real-world, human-centric criteria. It consists of 32,000+ image–question pairs across 7 tasks:
✅ Open/closed VQA
🌍 Multilingual QA
📌 Visual grounding
💬 Empathetic captioning
🧠 Robustness, reasoning, and ethics
Each example is annotated with GPT-4o drafts, then verified by experts to ensure quality and… See the full description on the dataset page: https://huggingface.co/datasets/vector-institute/HumaniBench.omnimcp_semantic_vector_cache_resolver_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_semantic_vector_cache_resolver_teaser.arXiv-AI-papers-multi-vector
Overview
This is a dataset containing individual pages from the top-40 most cited AI papers on arXiv](https://arxiv.org/abs/2412.12121) from the period 2023-01-01 to 2024-09-30.
Only the first 10 pages from each paper is included.
The dataset includes an image of each page as well as a multi-vector embedding using vidore/colqwen2-v1.0.
autonomous-db-internals-vector-search-suite
⚡ Autonomous Database Internals, Vector Search Engines & Distributed Storage Suite (2026)
A Production-Grade, Verifiable Synthetic Corpus for Training Autonomous Database Kernel & Vector Retrieval LLMs
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Full 10,000 SFT + 2,500 DPO Rows • 254.6 MB Pre-Indexed SQLite DB • RLVR/GRPO Sandboxed Testbed • Commercial License
⚡ Overview & Industry Problem
Deploying autonomous AI… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/autonomous-db-internals-vector-search-suite.vectorstore-mental_health
Vectorstore Dataset: Mental Health
Overview
This dataset contains pre-computed vector embeddings for the mental health domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-mental_health.vectorstore-women_health
Vectorstore Dataset: Women Health
Overview
This dataset contains pre-computed vector embeddings for the women health domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-women_health.vectorstore-accounting
Vectorstore Dataset: Accounting
Overview
This dataset contains pre-computed vector embeddings for the accounting domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-accounting.vectorstore-legal_business
Vectorstore Dataset: Legal Business
Overview
This dataset contains pre-computed vector embeddings for the legal business domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-legal_business.vectorstore-academic_tutoring
Vectorstore Dataset: Academic Tutoring
Overview
This dataset contains pre-computed vector embeddings for the academic tutoring domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-academic_tutoring.my-recipe-chat-fine-tuning-data
Dataset Card for my-recipe-chat-fine-tuning-data
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/vector124/my-recipe-chat-fine-tuning-data/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/vector124/my-recipe-chat-fine-tuning-data.ibm-hls-burn-vectorizedvectorstore-economics
Vectorstore Dataset: Economics
Overview
This dataset contains pre-computed vector embeddings for the economics domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.
What… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-economics.vectorstore-general_health
Vectorstore Dataset: General Health
Overview
This dataset contains pre-computed vector embeddings for the general health domain, ready for use in Retrieval-Augmented Generation (RAG) applications, semantic search, and knowledge base systems. The embeddings are generated from high-quality source documents using state-of-the-art sentence transformers, making it easy to build production-ready RAG applications without the computational overhead of embedding generation.… See the full description on the dataset page: https://huggingface.co/datasets/meetara-lab/vectorstore-general_health.