---
language:
- en
license: cc-by-sa-4.0
size_categories:
- 10K<n<100K
task_categories:
- image-text-to-text
dataset_info:
- config_name: MMST_Standard
  description: 'MIRAGE-MMST Standard Configuration: standard benchmark (train + test).

    '
  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
    \  year={2025},\n}\n"
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: image_1
    dtype: image
  - name: image_2
    dtype: image
  - name: image_3
    dtype: image
  - name: category
    dtype: string
  - name: entity_type
    dtype: string
  - name: entity_name
    dtype: string
  - name: entity_scientific_name
    dtype: string
  - name: entity_common_names
    list:
      dtype: string
  - name: meta_data_state
    dtype: string
  - name: meta_data_county
    dtype: string
  - name: meta_data_asked_time
    dtype: string
  splits:
  - name: train
    num_examples: 17537
  - name: test
    num_examples: 8188
- config_name: MMST_Contextual
  description: 'MIRAGE-MMST Contextual Configuration: contextual benchmark (test only).

    '
  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
    \  year={2025},\n}\n"
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: image_1
    dtype: image
  - name: image_2
    dtype: image
  - name: image_3
    dtype: image
  - name: category
    dtype: string
  - name: entity_type
    dtype: string
  - name: entity_name
    dtype: string
  - name: entity_scientific_name
    dtype: string
  - name: entity_common_names
    list:
      dtype: string
  - name: meta_data_state
    dtype: string
  - name: meta_data_county
    dtype: string
  - name: meta_data_asked_time
    dtype: string
  - name: location_related
    dtype: bool
  - name: time_related
    dtype: bool
  - name: location_related_analysis
    dtype: string
  - name: time_related_analysis
    dtype: string
  splits:
  - name: test
    num_examples: 3934
- config_name: MMMT_Direct
  description: 'MIRAGE-MMMT Direct Configuration: direct-response dialog benchmark
    with three splits (train, dev, test).

    '
  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
    \  year={2025},\n}\n"
  features:
  - name: id
    dtype: string
  - name: dialog_context
    dtype: string
  - name: decision
    dtype: string
  - name: utterance
    dtype: string
  - name: dialog_turns
    dtype: int32
  - name: image_1
    dtype: image
  - name: image_2
    dtype: image
  - name: image_3
    dtype: image
  splits:
  - name: train
    num_examples: 3876
  - name: dev
    num_examples: 878
  - name: test
    num_examples: 861
- config_name: MMMT_Decomp
  description: 'MIRAGE-MMMT Decomp Configuration: decomposed-dialog benchmark, with
    known/missing goals.

    '
  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
    \  year={2025},\n}\n"
  features:
  - name: id
    dtype: string
  - name: dialog_context
    dtype: string
  - name: decision
    dtype: string
  - name: utterance
    dtype: string
  - name: dialog_turns
    dtype: int32
  - name: known_goal
    list:
      dtype: string
  - name: missing_goal
    list:
      dtype: string
  - name: image_1
    dtype: image
  - name: image_2
    dtype: image
  - name: image_3
    dtype: image
  splits:
  - name: train
    num_examples: 3876
  - name: dev
    num_examples: 878
  - name: test
    num_examples: 861
configs:
- config_name: MMST_Standard
  data_files:
  - split: train
    path: MMST_Standard/train/*.arrow
  - split: test
    path: MMST_Standard/test/*.arrow
- config_name: MMST_Contextual
  data_files:
  - split: test
    path: MMST_Contextual/test/*.arrow
- config_name: MMMT_Direct
  data_files:
  - split: train
    path: MMMT_Direct/train/*.arrow
  - split: dev
    path: MMMT_Direct/dev/*.arrow
  - split: test
    path: MMMT_Direct/test/*.arrow
- config_name: MMMT_Decomp
  data_files:
  - split: train
    path: MMMT_Decomp/train/*.arrow
  - split: dev
    path: MMMT_Decomp/dev/*.arrow
  - split: test
    path: MMMT_Decomp/test/*.arrow
modalities:
- Image
- Text
tags:
- biology
- agriculture
- Long-Form Question Answering
---

# MIRAGE Benchmark

[**Project Page**](https://mirage-benchmark.github.io/) | [**Paper**](https://huggingface.co/papers/2506.20100) | [**GitHub**](https://github.com/MIRAGE-Benchmark/MIRAGE-Benchmark)

MIRAGE is a benchmark for multimodal expert-level reasoning and decision-making in consultative interaction settings, specifically designed for the agriculture domain. It captures the complexity of expert consultations by combining natural user queries, expert-authored responses, and image-based context.

The benchmark spans diverse crop health, pest diagnosis, and crop management scenarios, including more than 7,000 unique biological entities.

<img src="main_dig.png" width="900">

## Overview

The benchmark consists of two main components:
- **MMST (Multi-Modal Single-Turn)**: Single-turn multimodal reasoning tasks.
- **MMMT (Multi-Modal Multi-Turn)**: Multi-turn conversational tasks with visual context.

## Sample Usage

You can load the various configurations of the dataset using the `datasets` library:

```python
from datasets import load_dataset

# Load MMST datasets
ds_standard = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMST_Standard")
ds_contextual = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMST_Contextual")

# Load MMMT dataset
ds_mmmt_direct = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMMT_Direct")
ds_mmmt_decomp = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMMT_Decomp")
```

## Citation

If you use our benchmark in your research, please cite our paper:

```bibtex
@article{dongre2025mirage,
  title={MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations},
  author={Dongre, Vardhan and Gui, Chi and Garg, Shubham and Nayyeri, Hooshang and Tur, Gokhan and Hakkani-T{\"{u}}r, Dilek and Adve, Vikram S},
  journal={arXiv preprint arXiv:2506.20100},
  year={2025}
}
```

## License

This project is licensed under the [Creative Commons Attribution-ShareAlike 4.0 International License (CC-BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/).