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Dataset · Hugging Face

large-traversaal/HYDRA-M3-V0

MMM_HYDRA: Heterogeneous Yielding Dataset for Reasoning Across - Multi-hop, Multimodal, Multicompany Dataset Description MMM_HYDRA is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on complex financial document analysis. The dataset contains 200 carefully curated questions with answers extracted from 99 unique corporate 10-K filings across 15 industry sectors. Key Features Multi-Company: 54 questions (27%) span… See the full description on the dataset page: https://huggingface.co/datasets/large-traversaal/HYDRA-M3-V0.

Author / organizationlarge-traversaal
License (as declared)mit
Downloads596 (as reported by Hugging Face)
Likes0
Created29 November 2025
Last updated at source29 November 2025
financemultimodalmultihoprag10-Kfinancial-analysis
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  • 17 Oct 2026 Description: MMM_HYDRA: Heterogeneous Yielding Dataset for Reasoning Across - Multi-hop, Multimodal, Multicompany Dataset Description MMM_HYDRA is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on complex financial docum → MMM_HYDRA: Heterogeneous Yielding Dataset for Reasoning Across - Multi-hop, Multimodal, Multicompany Dataset Description MMM_HYDRA is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on complex financial docum

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