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metadata
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 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. Upon verification, such samples will be promptly removed.