--- annotations_creators: - derived language: - ara - bul - dan - ell - eng - est - ind - jpn - kor - tur - vie license: cc-by-sa-4.0 multilinguality: multilingual source_datasets: - mteb/wit task_categories: - visual-document-retrieval - image-to-text - text-to-image task_ids: [] dataset_info: - config_name: ar-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 15269917 num_examples: 792 download_size: 15216897 dataset_size: 15269917 - config_name: ar-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 50499 num_examples: 890 download_size: 13851 dataset_size: 50499 - config_name: ar-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 114447 num_examples: 890 download_size: 55494 dataset_size: 114447 - config_name: bg-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 16101702 num_examples: 806 download_size: 16049879 dataset_size: 16101702 - config_name: bg-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 48826 num_examples: 860 download_size: 13743 dataset_size: 48826 - config_name: bg-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 104747 num_examples: 860 download_size: 48839 dataset_size: 104747 - config_name: da-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 16184158 num_examples: 814 download_size: 16130048 dataset_size: 16184158 - config_name: da-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 50597 num_examples: 891 download_size: 14071 dataset_size: 50597 - config_name: da-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 83314 num_examples: 891 download_size: 47795 dataset_size: 83314 - config_name: el-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 10895612 num_examples: 541 download_size: 10861969 dataset_size: 10895612 - config_name: el-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 32332 num_examples: 570 download_size: 9856 dataset_size: 32332 - config_name: el-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 75465 num_examples: 570 download_size: 39478 dataset_size: 75465 - config_name: en-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 13432388 num_examples: 685 download_size: 13374785 dataset_size: 13432388 - config_name: en-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 55772 num_examples: 1000 download_size: 13429 dataset_size: 55772 - config_name: en-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 94550 num_examples: 1000 download_size: 48553 dataset_size: 94550 - config_name: et-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 15517098 num_examples: 780 download_size: 15462251 dataset_size: 15517098 - config_name: et-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 49587 num_examples: 874 download_size: 13671 dataset_size: 49587 - config_name: et-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 66970 num_examples: 874 download_size: 35023 dataset_size: 66970 - config_name: id-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 16596363 num_examples: 854 download_size: 16549161 dataset_size: 16596363 - config_name: id-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 51127 num_examples: 901 download_size: 14431 dataset_size: 51127 - config_name: id-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 79069 num_examples: 901 download_size: 45681 dataset_size: 79069 - config_name: ja-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 16653278 num_examples: 842 download_size: 16587345 dataset_size: 16653278 - config_name: ja-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 55751 num_examples: 1000 download_size: 14250 dataset_size: 55751 - config_name: ja-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 91202 num_examples: 1000 download_size: 46224 dataset_size: 91202 - config_name: ko-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 17093485 num_examples: 889 download_size: 17029505 dataset_size: 17093485 - config_name: ko-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 52835 num_examples: 931 download_size: 14862 dataset_size: 52835 - config_name: ko-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 75124 num_examples: 931 download_size: 42384 dataset_size: 75124 - config_name: tr-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 13336048 num_examples: 681 download_size: 13297860 dataset_size: 13336048 - config_name: tr-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 40901 num_examples: 721 download_size: 11973 dataset_size: 40901 - config_name: tr-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 62334 num_examples: 721 download_size: 36911 dataset_size: 62334 - config_name: vi-corpus features: - name: image dtype: image - name: id dtype: string - name: text dtype: 'null' - name: modality dtype: string splits: - name: test num_bytes: 16661096 num_examples: 869 download_size: 16607287 dataset_size: 16661096 - config_name: vi-qrels features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 53714 num_examples: 946 download_size: 14704 dataset_size: 53714 - config_name: vi-queries features: - name: id dtype: string - name: text dtype: string - name: modality dtype: string - name: image dtype: 'null' splits: - name: test num_bytes: 100579 num_examples: 946 download_size: 54717 dataset_size: 100579 configs: - config_name: ar-corpus data_files: - split: test path: ar-corpus/test-* - config_name: ar-qrels data_files: - split: test path: ar-qrels/test-* - config_name: ar-queries data_files: - split: test path: ar-queries/test-* - config_name: bg-corpus data_files: - split: test path: bg-corpus/test-* - config_name: bg-qrels data_files: - split: test path: bg-qrels/test-* - config_name: bg-queries data_files: - split: test path: bg-queries/test-* - config_name: da-corpus data_files: - split: test path: da-corpus/test-* - config_name: da-qrels data_files: - split: test path: da-qrels/test-* - config_name: da-queries data_files: - split: test path: da-queries/test-* - config_name: el-corpus data_files: - split: test path: el-corpus/test-* - config_name: el-qrels data_files: - split: test path: el-qrels/test-* - config_name: el-queries data_files: - split: test path: el-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: et-corpus data_files: - split: test path: et-corpus/test-* - config_name: et-qrels data_files: - split: test path: et-qrels/test-* - config_name: et-queries data_files: - split: test path: et-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: ko-corpus data_files: - split: test path: ko-corpus/test-* - config_name: ko-qrels data_files: - split: test path: ko-qrels/test-* - config_name: ko-queries data_files: - split: test path: ko-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: vi-corpus data_files: - split: test path: vi-corpus/test-* - config_name: vi-qrels data_files: - split: test path: vi-qrels/test-* - config_name: vi-queries data_files: - split: test path: vi-queries/test-* tags: - mteb - text - image ---

WITT2IRetrieval

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: - [mteb/wit](https://huggingface.co/datasets/mteb/wit) ## How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: ```python import mteb task = mteb.get_task("WITT2IRetrieval") 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](https://github.com/embeddings-benchmark/mteb). ## Citation If you use this dataset, please cite the dataset as well as [mteb](https://github.com/embeddings-benchmark/mteb), as this dataset likely includes additional processing as a part of the [MMTEB Contribution](https://github.com/embeddings-benchmark/mteb/tree/main/docs/mmteb). ```bibtex @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: ```python import mteb task = mteb.get_task("WITT2IRetrieval") desc_stats = task.metadata.descriptive_stats ``` ```json { "test": { "number_of_characters": 506601, "num_samples": 18137, "num_queries": 9584, "num_documents": 8553, "min_document_length": 0, "average_document_length": 0, "max_document_length": 0, "unique_documents": 0, "num_document_images": 8553, "min_query_length": 9, "average_query_length": 52.85903589315526, "max_query_length": 779, "unique_queries": 9076, "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": 8553 } } ```
--- *This dataset card was automatically generated using [MTEB](https://github.com/embeddings-benchmark/mteb)*