| --- |
| language: |
| - en |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-text |
| - image-text-to-text |
| pretty_name: ECA-ToS-Benchmarks |
| tags: |
| - continual-learning |
| - vision-language |
| - image-captioning |
| - visual-question-answering |
| - open-ended-image-to-text-generation |
| - topic-split |
| - tos |
| --- |
| |
| # ECA-ToS-Benchmarks |
|
|
| This dataset provides the ToS benchmark annotations used in the paper **[ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation](https://huggingface.co/papers/2606.12633)**. |
|
|
| [**Official Code**](https://github.com/Snowball0823/ECA) |
|
|
| ToS is designed for continual learning in open-ended image-to-text generation. Each image is assigned to a task by its dominant visual topic. Other visible topics remain in the sample, so tasks shift over time while shared concepts can still reappear across tasks. |
|
|
| ## Dataset Contents |
|
|
| This repository contains annotation files and topic metadata for four benchmarks. |
|
|
| | Benchmark | Source dataset | Task | Annotation files | |
| | --- | --- | --- | --- | |
| | ToS-COCO Caption | MSCOCO Caption | Image Captioning | `annotations/coco/tos_coco_caption_*.json` | |
| | ToS-VQAv2 | VQAv2 | Visual Question Answering | `annotations/coco/tos_vqav2_*.json` | |
| | ToS-TextCaps | TextCaps | Image Captioning | `annotations/text/tos_textcaps_caption_*.json` | |
| | ToS-TextVQA | TextVQA | Visual Question Answering | `annotations/text/tos_textvqa_*.json` | |
|
|
| The topic metadata files record the dominant topic and topic composition used to build the splits. |
|
|
| | File | Description | |
| | --- | --- | |
| | `annotations/coco/tos_coco_style_topic_metadata.json` | Topic metadata for COCO-style splits | |
| | `annotations/text/tos_text_style_topic_metadata.json` | Topic metadata shared by ToS-TextCaps and ToS-TextVQA | |
|
|
| The repository also includes the official VQAv2 validation files required by the VQA evaluator. |
|
|
| ```text |
| annotations/coco/answer_list.json |
| annotations/coco/v2_OpenEnded_mscoco_val2014_questions.json |
| annotations/coco/v2_mscoco_val2014_annotations.json |
| ``` |
|
|
| ## Images |
|
|
| Images are not redistributed in this dataset repository. |
|
|
| Please download images from the original dataset sources and place them in the layout expected by the ECA codebase. |
|
|
| ```text |
| cache/coco/images/ |
| cache/TextCaps/images/ |
| ``` |
|
|
| COCO-style benchmarks use MSCOCO 2014 train and validation images. Text-style benchmarks use the TextCaps and TextVQA image folders. |
|
|
| ## Using With The ECA Codebase |
|
|
| Download this dataset and copy the annotation files into the local `cache/` directory. |
|
|
| ```bash |
| huggingface-cli download Snowball0823/ECA-ToS-Benchmarks --repo-type dataset --local-dir data/ECA-ToS-Benchmarks --local-dir-use-symlinks False |
| |
| mkdir -p cache/coco/annotations cache/TextCaps |
| cp data/ECA-ToS-Benchmarks/annotations/coco/*.json cache/coco/annotations/ |
| cp data/ECA-ToS-Benchmarks/annotations/text/*.json cache/TextCaps/ |
| ``` |
|
|
| After copying, the expected runtime layout is: |
|
|
| ```text |
| cache/ |
| coco/ |
| annotations/ |
| tos_coco_caption_train.json |
| tos_coco_caption_val.json |
| tos_coco_caption_test.json |
| tos_vqav2_train.json |
| tos_vqav2_val_eval.json |
| tos_coco_style_topic_metadata.json |
| answer_list.json |
| v2_OpenEnded_mscoco_val2014_questions.json |
| v2_mscoco_val2014_annotations.json |
| images/ |
| train2014/ |
| val2014/ |
| TextCaps/ |
| tos_textcaps_caption_train.json |
| tos_textcaps_caption_val.json |
| tos_textcaps_caption_val_eval.json |
| tos_textvqa_train.json |
| tos_textvqa_val.json |
| tos_textvqa_val_eval.json |
| tos_text_style_topic_metadata.json |
| images/ |
| train/ |
| test/ |
| ``` |
|
|
| ## License And Source Datasets |
|
|
| This dataset is released under CC BY 4.0. The annotations are derived from MSCOCO Caption, VQAv2, TextCaps, and TextVQA. The original images and annotations remain subject to the licenses and terms of their source datasets. |
|
|
| Users should also cite and follow the original dataset sources. |
|
|
| - COCO: https://cocodataset.org/ |
| - VQAv2: https://visualqa.org/ |
| - TextVQA and TextCaps: https://textvqa.org/ |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite our paper. |
|
|
| ```bibtex |
| @inproceedings{kong2026eca, |
| title={ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation}, |
| author={Kong, Jiangtao and Zhao, Peijun and Chen, Chun-Fu and Do, Youngwook and Hu, Shaohan and Zhou, Tianyi and Shao, Huajie}, |
| booktitle={International Conference on Machine Learning}, |
| year={2026} |
| } |
| ``` |
