ibm-research/REAL-MM-RAG_TechReport
REAL-MM-RAG-Bench: A Real-World Multi-Modal Retrieval Benchmark We introduced REAL-MM-RAG-Bench, a real-world multi-modal retrieval benchmark designed to evaluate retrieval models in reliable, challenging, and realistic settings. The benchmark was constructed using an automated pipeline, where queries were generated by a vision-language model (VLM), filtered by a large language model (LLM), and rephrased by an LLM to ensure high-quality retrieval evaluation. To simulate… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/REAL-MM-RAG_TechReport.
| Author / organization | ibm-research |
|---|---|
| License (as declared) | cdla-permissive-2.0 |
| Downloads | 204 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 13 March 2025 |
| Last updated at source | 16 March 2025 |
Popularity, last 3 days
204 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: REAL-MM-RAG-Bench: A Real-World Multi-Modal Retrieval Benchmark We introduced REAL-MM-RAG-Bench, a real-world multi-modal retrieval benchmark designed to evaluate retrieval models in reliable, challenging, and realistic settings. The benchm → REAL-MM-RAG-Bench: A Real-World Multi-Modal Retrieval Benchmark We introduced REAL-MM-RAG-Bench, a real-world multi-modal retrieval benchmark designed to evaluate retrieval models in reliable, challenging, and realistic settings. The benchm
Changes detected by Silytics between refreshes of the source.
More from ibm-research
- ibm-research/VAKRADataset
- ibm-research/rag-hpo-benchDataset
- ibm-research/finqaDataset
- ibm-research/cif-datasetDataset
- ibm-research/duorcDataset
- ibm-research/MedMentions-ZSDataset
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 Information may be incomplete or out of date.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.