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---
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# BEIR Version of REAL-MM-RAG_FinReport
## Summary
This dataset is the **BEIR-compatible version** of the following Hugging Face dataset:
- [`ibm-research/REAL-MM-RAG_FinReport`](https://huggingface.co/datasets/ibm-research/REAL-MM-RAG_FinReport)
It has been reformatted into the **BEIR structure** for evaluation in retrieval settings.
The original dataset is QA-style (each row is a query tied to a document image).
Here, queries, qrels, docs, and corpus are separated into BEIR-standard splits.
## **REAL-MM-RAG_FinReport**
- **Content**: 19 financial reports from 2005–2023.
- **Size**: 2,687 pages.
- **Composition**: Includes both textual data and structured tables.
- **Purpose**: Designed to test model performance on table-heavy financial data retrieval.
## Format
The dataset is provided under the `"test"` split and contains the following subsets:
- **queries**:
- `query-id` (string)
- `query` (string)
- `rephrase_level_1/2/3` (string)
- `language` (string)
- **qrels**:
- `query-id` (string)
- `corpus-id` (string)
- `answer` (string)
- `score` (int, relevance = 1)
- **docs**:
- `doc-id` (string)
- **corpus**:
- `corpus-id` (string, unique per image)
- `image` (stored as PIL.Image)
- `image_filename` (string, filename without extension)
- `doc-id` (string, extracted from filename)
- **default**: alias of `queries` (for convenience).
## Source Paper
```bibtex
@misc{wasserman2025realmmragrealworldmultimodalretrieval,
title={REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark},
author={Navve Wasserman and Roi Pony and Oshri Naparstek and Adi Raz Goldfarb and Eli Schwartz and Udi Barzelay and Leonid Karlinsky},
year={2025},
eprint={2502.12342},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2502.12342},
}
``` |