metadata

license: apache-2.0
dataset_info:
  features:
    - name: image
      dtype: image
    - name: document_id
      dtype: string
    - name: original_url
      dtype: string
    - name: mirror_url
      dtype: string
    - name: source_available
      dtype: bool
  splits:
    - name: test
      num_bytes: 151464233
      num_examples: 170
  download_size: 151418684
  dataset_size: 151464233
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*

WMT24++ Source URLs & Images

This repository contains the source URLs and full-page document screenshots for each document in the data from WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. These images preserve the original document structure of the translation segments with any embedded images, and may be used for multimodal translation or language understanding.

If you are interested in the human translations and post-edit data, please see here.
If you are interested in the MT/LLM system outputs and automatic metric scores, please see MTME.

Schema

Each row is a serialized JSON object for a source document with the following fields:

image: The full-page screenshot of the source document. Images are fixed width (750px) and variable length, based on content. Where the source was no longer available, these are black 750x750px placeholder images.
document_id: The unique ID that identifies the document the source came from.
original_url: The original document url.
mirror_url: Where the original source is no longer available, a url for an alternate archived mirror copy
source_available: A boolean true / false value indicating whether the source is available, indicating whether a screenshot is present or a placeholder image.

Citation

If you use any of the data released in our work, please cite the following paper:

@misc{deutsch2025wmt24expandinglanguagecoverage,
      title={{WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects}}, 
      author={Daniel Deutsch and Eleftheria Briakou and Isaac Caswell and Mara Finkelstein and Rebecca Galor and Juraj Juraska and Geza Kovacs and Alison Lui and Ricardo Rei and Jason Riesa and Shruti Rijhwani and Parker Riley and Elizabeth Salesky and Firas Trabelsi and Stephanie Winkler and Biao Zhang and Markus Freitag},
      year={2025},
      eprint={2502.12404},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.12404}, 
}