---
dataset_info:
- config_name: corpus
  features:
  - name: id
    dtype: string
  - name: modality
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  - name: image 1
    dtype: image
  - name: image 2
    dtype: image
  - name: image 3
    dtype: image
  - name: image 4
    dtype: image
  - name: vision
    dtype: image
  splits:
  - name: test
    num_bytes: 26409581134
    num_examples: 26223
  download_size: 26358102611
  dataset_size: 26409581134
- config_name: qrels
  features:
  - name: query_id
    dtype: string
  - name: corpus_id
    dtype: string
  - name: score
    dtype: int32
  splits:
  - name: test
    num_bytes: 71002
    num_examples: 1014
  download_size: 16284
  dataset_size: 71002
- config_name: query
  features:
  - name: id
    dtype: string
  - name: modality
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  - name: category
    dtype: string
  - name: question
    dtype: string
  - name: options
    list: string
  - name: answer
    dtype: string
  - name: image 1
    dtype: image
  - name: image 2
    dtype: image
  - name: image 3
    dtype: image
  - name: image 4
    dtype: image
  - name: image 5
    dtype: image
  - name: image 6
    dtype: image
  - name: image 7
    dtype: image
  splits:
  - name: test
    num_bytes: 809857060
    num_examples: 555
  download_size: 809655033
  dataset_size: 809857060
configs:
- config_name: corpus
  data_files:
  - split: test
    path: corpus/test-*
- config_name: qrels
  data_files:
  - split: test
    path: qrels/test-*
- config_name: query
  data_files:
  - split: test
    path: query/test-*
license: mit
---

## Evaluation Code

The evaluation code is implemented based on [MTEB](https://github.com/embeddings-benchmark/mteb/tree/main/mteb) framework and avaliable in https://github.com/rebeccaz4/MRMR.

## Disclaimers

The guidelines for the annotators emphasized strict compliance with copyright and licensing rules from the initial data source, specifically avoiding materials from websites that forbid copying and redistribution. Should you encounter any data samples potentially breaching the copyright or licensing regulations of any site, we encourage you to [contact us](siyue001@e.ntu.edu.sg). Upon verification, such samples will be promptly removed.