---
license: cdla-permissive-2.0
dataset_info:
- config_name: corpus
  features:
  - name: corpus-id
    dtype: int64
  - name: image
    dtype: image
  - name: image_filename
    dtype: string
  - name: doc-id
    dtype: string
  splits:
  - name: test
    num_bytes: 705454244.125
    num_examples: 2687
  download_size: 704264188
  dataset_size: 705454244.125
- config_name: default
  features:
  - name: query-id
    dtype: int64
  - name: query
    dtype: string
  - name: rephrase_level_1
    dtype: string
  - name: rephrase_level_2
    dtype: string
  - name: rephrase_level_3
    dtype: string
  - name: language
    dtype: string
  splits:
  - name: test
    num_bytes: 380154
    num_examples: 853
  download_size: 183518
  dataset_size: 380154
- config_name: docs
  features:
  - name: doc-id
    dtype: string
  splits:
  - name: test
    num_bytes: 494
    num_examples: 19
  download_size: 891
  dataset_size: 494
- config_name: qrels
  features:
  - name: query-id
    dtype: int64
  - name: corpus-id
    dtype: int64
  - name: answer
    dtype: string
  - name: score
    dtype: int64
  splits:
  - name: test
    num_bytes: 122679
    num_examples: 853
  download_size: 66455
  dataset_size: 122679
- config_name: queries
  features:
  - name: query-id
    dtype: int64
  - name: query
    dtype: string
  - name: rephrase_level_1
    dtype: string
  - name: rephrase_level_2
    dtype: string
  - name: rephrase_level_3
    dtype: string
  - name: language
    dtype: string
  splits:
  - name: test
    num_bytes: 380154
    num_examples: 853
  download_size: 183518
  dataset_size: 380154
configs:
- config_name: corpus
  data_files:
  - split: test
    path: corpus/test-*
- config_name: default
  data_files:
  - split: test
    path: data/test-*
- config_name: docs
  data_files:
  - split: test
    path: docs/test-*
- config_name: qrels
  data_files:
  - split: test
    path: qrels/test-*
- config_name: queries
  data_files:
  - split: test
    path: queries/test-*
---

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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}, 
}
```