TheNoobResearcher/HYDRA-M3-V0
MMM_HYDRA: Multi-Company Multimodal Multihop Financial Reasoning Benchmark 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 multiple corporate entities… See the full description on the dataset page: https://huggingface.co/datasets/TheNoobResearcher/HYDRA-M3-V0.
| Author / organization | TheNoobResearcher |
|---|---|
| License (as declared) | mit |
| Downloads | 401 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 November 2025 |
| Last updated at source | 18 November 2025 |
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- 16 Oct 2026 Description: MMM_HYDRA: Multi-Company Multimodal Multihop Financial Reasoning Benchmark Dataset Description MMM_HYDRA is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on complex financial document analysis. The dataset → MMM_HYDRA: Multi-Company Multimodal Multihop Financial Reasoning Benchmark Dataset Description MMM_HYDRA is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on complex financial document analysis. The dataset
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.