Datasets:

Modalities:
Image
Text
Formats:
parquet
ArXiv:
Libraries:
Datasets
pandas
License:
Samoed's picture
Add zh-corpus-corpus
0b0e192 verified
metadata
annotations_creators:
  - derived
language:
  - deu
  - eng
  - ind
  - jpn
  - rus
  - spa
  - tur
  - zho
license: cc-by-sa-4.0
multilinguality: multilingual
source_datasets:
  - floschne/xflickrco
task_categories:
  - visual-document-retrieval
  - image-to-text
  - text-to-image
task_ids: []
dataset_info:
  - config_name: de-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: de-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: de-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 201744
        num_examples: 2000
    download_size: 101726
    dataset_size: 201744
  - config_name: en-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: en-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: en-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 221584
        num_examples: 2000
    download_size: 111555
    dataset_size: 221584
  - config_name: es-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: es-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: es-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 229771
        num_examples: 2000
    download_size: 114765
    dataset_size: 229771
  - config_name: id-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: id-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: id-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 235679
        num_examples: 2000
    download_size: 107198
    dataset_size: 235679
  - config_name: ja-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: ja-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: ja-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 270161
        num_examples: 2000
    download_size: 134056
    dataset_size: 270161
  - config_name: ru-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: ru-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: ru-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 336257
        num_examples: 2000
    download_size: 153539
    dataset_size: 336257
  - config_name: tr-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: tr-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: tr-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 216488
        num_examples: 2000
    download_size: 105048
    dataset_size: 216488
  - config_name: zh-corpus
    features:
      - name: id
        dtype: string
      - name: image
        dtype: image
      - name: text
        dtype: 'null'
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 90473516
        num_examples: 2000
    download_size: 90396446
    dataset_size: 90473516
  - config_name: zh-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: int64
    splits:
      - name: test
        num_bytes: 89066
        num_examples: 2000
    download_size: 42204
    dataset_size: 89066
  - config_name: zh-queries
    features:
      - name: id
        dtype: string
      - name: image
        struct:
          - name: bytes
            dtype: binary
          - name: path
            dtype: 'null'
      - name: text
        dtype: string
      - name: modality
        dtype: string
    splits:
      - name: test
        num_bytes: 190619
        num_examples: 2000
    download_size: 99613
    dataset_size: 190619
configs:
  - config_name: de-corpus
    data_files:
      - split: test
        path: de-corpus/test-*
  - config_name: de-qrels
    data_files:
      - split: test
        path: de-qrels/test-*
  - config_name: de-queries
    data_files:
      - split: test
        path: de-queries/test-*
  - config_name: en-corpus
    data_files:
      - split: test
        path: en-corpus/test-*
  - config_name: en-qrels
    data_files:
      - split: test
        path: en-qrels/test-*
  - config_name: en-queries
    data_files:
      - split: test
        path: en-queries/test-*
  - config_name: es-corpus
    data_files:
      - split: test
        path: es-corpus/test-*
  - config_name: es-qrels
    data_files:
      - split: test
        path: es-qrels/test-*
  - config_name: es-queries
    data_files:
      - split: test
        path: es-queries/test-*
  - config_name: id-corpus
    data_files:
      - split: test
        path: id-corpus/test-*
  - config_name: id-qrels
    data_files:
      - split: test
        path: id-qrels/test-*
  - config_name: id-queries
    data_files:
      - split: test
        path: id-queries/test-*
  - config_name: ja-corpus
    data_files:
      - split: test
        path: ja-corpus/test-*
  - config_name: ja-qrels
    data_files:
      - split: test
        path: ja-qrels/test-*
  - config_name: ja-queries
    data_files:
      - split: test
        path: ja-queries/test-*
  - config_name: ru-corpus
    data_files:
      - split: test
        path: ru-corpus/test-*
  - config_name: ru-qrels
    data_files:
      - split: test
        path: ru-qrels/test-*
  - config_name: ru-queries
    data_files:
      - split: test
        path: ru-queries/test-*
  - config_name: tr-corpus
    data_files:
      - split: test
        path: tr-corpus/test-*
  - config_name: tr-qrels
    data_files:
      - split: test
        path: tr-qrels/test-*
  - config_name: tr-queries
    data_files:
      - split: test
        path: tr-queries/test-*
  - config_name: zh-corpus
    data_files:
      - split: test
        path: zh-corpus/test-*
  - config_name: zh-qrels
    data_files:
      - split: test
        path: zh-qrels/test-*
  - config_name: zh-queries
    data_files:
      - split: test
        path: zh-queries/test-*
tags:
  - mteb
  - text
  - image

XFlickr30kCoT2IRetrieval

An MTEB dataset
Massive Text Embedding Benchmark

Retrieve images based on multilingual descriptions.

Task category t2i
Domains Encyclopaedic, Written
Reference https://proceedings.mlr.press/v162/bugliarello22a/bugliarello22a.pdf

Source datasets:

How to evaluate on this task

You can evaluate an embedding model on this dataset using the following code:

import mteb

task = mteb.get_task("XFlickr30kCoT2IRetrieval")
evaluator = mteb.MTEB([task])

model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)

To learn more about how to run models on mteb task check out the GitHub repository.

Citation

If you use this dataset, please cite the dataset as well as mteb, as this dataset likely includes additional processing as a part of the MMTEB Contribution.


@inproceedings{bugliarello2022iglue,
  author = {Bugliarello, Emanuele and Liu, Fangyu and Pfeiffer, Jonas and Reddy, Siva and Elliott, Desmond and Ponti, Edoardo Maria and Vuli{\'c}, Ivan},
  booktitle = {International Conference on Machine Learning},
  organization = {PMLR},
  pages = {2370--2392},
  title = {IGLUE: A benchmark for transfer learning across modalities, tasks, and languages},
  year = {2022},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and Jan Philipp Harries and Loïc Magne and Isabelle Mohr and Mariya Hendriksen and Dawei Zhu and Hippolyte Gisserot-Boukhlef and Tom Aarsen and Jan Kostkan and Konrad Wojtasik and Taemin Lee and Marek Šuppa and Crystina Zhang and Roberta Rocca and Mohammed Hamdy and Andrianos Michail and John Yang and Manuel Faysse and Aleksei Vatolin and Nandan Thakur and Manan Dey and Dipam Vasani and Pranjal Chitale and Simone Tedeschi and Nguyen Tai and Artem Snegirev and Michael Günther and Mengzhou Xia and Weijia Shi and Xing Han Lù and Jordan Clive and Gayatri Krishnakumar and Anna Maksimova and Silvan Wehrli and Maria Tikhonova and Henil Panchal and Aleksandr Abramov and Malte Ostendorff and Zheng Liu and Simon Clematide and Lester James Miranda and Alena Fenogenova and Guangyu Song and Ruqiya Bin Safi and Wen-Ding Li and Alessia Borghini and Federico Cassano and Hongjin Su and Jimmy Lin and Howard Yen and Lasse Hansen and Sara Hooker and Chenghao Xiao and Vaibhav Adlakha and Orion Weller and Siva Reddy and Niklas Muennighoff},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2502.13595},
  year={2025},
  url={https://arxiv.org/abs/2502.13595},
  doi = {10.48550/arXiv.2502.13595},
}

@article{muennighoff2022mteb,
  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Loïc and Reimers, Nils},
  title = {MTEB: Massive Text Embedding Benchmark},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2210.07316},
  year = {2022}
  url = {https://arxiv.org/abs/2210.07316},
  doi = {10.48550/ARXIV.2210.07316},
}

Dataset Statistics

Dataset Statistics

The following code contains the descriptive statistics from the task. These can also be obtained using:

import mteb

task = mteb.get_task("XFlickr30kCoT2IRetrieval")

desc_stats = task.metadata.descriptive_stats
{
    "test": {
        "number_of_characters": 1149877,
        "num_samples": 32000,
        "num_queries": 16000,
        "num_documents": 16000,
        "min_document_length": 0,
        "average_document_length": 0,
        "max_document_length": 0,
        "unique_documents": 0,
        "num_document_images": 16000,
        "min_query_length": 12,
        "average_query_length": 71.8673125,
        "max_query_length": 385,
        "unique_queries": 15987,
        "num_query_images": 0,
        "min_relevant_docs_per_query": 1,
        "average_relevant_docs_per_query": 1.0,
        "max_relevant_docs_per_query": 1,
        "unique_relevant_docs": 16000,
        "hf_subset_descriptive_stats": {
            "de": {
                "number_of_characters": 132154,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 4,
                "average_query_length": 66.077,
                "max_query_length": 220,
                "unique_queries": 1994,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "en": {
                "number_of_characters": 153801,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 34,
                "average_query_length": 76.9005,
                "max_query_length": 377,
                "unique_queries": 2000,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "es": {
                "number_of_characters": 160049,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 23,
                "average_query_length": 80.0245,
                "max_query_length": 342,
                "unique_queries": 2000,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "id": {
                "number_of_characters": 167858,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 4,
                "average_query_length": 83.929,
                "max_query_length": 211,
                "unique_queries": 2000,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "ja": {
                "number_of_characters": 75480,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 9,
                "average_query_length": 37.74,
                "max_query_length": 179,
                "unique_queries": 2000,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "ru": {
                "number_of_characters": 149947,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 10,
                "average_query_length": 74.9735,
                "max_query_length": 294,
                "unique_queries": 1997,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "tr": {
                "number_of_characters": 136134,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 19,
                "average_query_length": 68.067,
                "max_query_length": 199,
                "unique_queries": 1997,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            },
            "zh": {
                "number_of_characters": 46454,
                "num_samples": 4000,
                "num_queries": 2000,
                "num_documents": 2000,
                "min_document_length": 0,
                "average_document_length": 0,
                "max_document_length": 0,
                "unique_documents": 0,
                "num_document_images": 2000,
                "min_query_length": 10,
                "average_query_length": 23.227,
                "max_query_length": 66,
                "unique_queries": 1999,
                "num_query_images": 0,
                "min_relevant_docs_per_query": 1,
                "average_relevant_docs_per_query": 1.0,
                "max_relevant_docs_per_query": 1,
                "unique_relevant_docs": 2000
            }
        }
    }
}

This dataset card was automatically generated using MTEB