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umairhassan02/urdu-translated-coco-captions-subset

Research Paper: https://www.arxiv.org/abs/2509.09014 Github: https://github.com/umair-hassan2/COCO-Urdu Overview Urdu, spoken by over 250 million people, remains critically under-served in multimodal and vision-language research. COCO-Urdu addresses this gap by providing 59K images and 319K high-quality Urdu captions. Captions were generated via zero-shot translation using SeamlessM4T v2, validated with a hybrid QE pipeline combining COMET-Kiwi, CLIP-based visual grounding, and BERTScore… See the full description on the dataset page: https://huggingface.co/datasets/umairhassan02/urdu-translated-coco-captions-subset.

sourceHugging Faceupdated 1y agoView on Hugging Face
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  • —Research Paper: https://www.arxiv.org/abs/2509.09014
  • —Github: https://github.com/umair-hassan2/COCO-Urdu

Overview

Urdu, spoken by over 250 million people, remains critically under-served in multimodal and vision-language research. COCO-Urdu addresses this gap by providing 59K images and 319K high-quality Urdu captions. Captions were generated via zero-shot translation using SeamlessM4T v2, validated with a hybrid QE pipeline combining COMET-Kiwi, CLIP-based visual grounding, and BERTScore with back-translation, and low-scoring captions were iteratively refined using open-source LLMs.

Consider citing the work if you find this helpful

bibtex
@inproceedings{Hassan2025COCOUrduAL,
  title={COCO-Urdu: A Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation},
  author={Umair Hassan},
  year={2025},
  url={https://api.semanticscholar.org/CorpusID:281252320}
}

License Information

The annotations in this dataset along with this website belong to the COCO Consortium and are licensed under a Creative Commons Attribution 4.0 License. Images The COCO Consortium does not own the copyright of the images. Use of the images must abide by the Flickr Terms of Use. The users of the images accept full responsibility for the use of the dataset, including but not limited to the use of any copies of copyrighted images that they may create from the dataset. Software Copyright (c) 2015, COCO Consortium. All rights reserved. Redistribution and use software in source and binary form, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of the COCO Consortium nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE AND ANNOTATIONS ARE PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.