CAMERA (CyberAgent Multimodal Evaluation for Ad Text GeneRAtion) is the Japanese ad text generation dataset.
We hope that our dataset will be useful in research for realizing more advanced ad text generation models.
The dataset is split into train.csv, dev.csv, and test.csv. LP (Landing Pages) images are stored in the lp-screenshot/ and are associated with the text data (*.csv) by asset ids (asset_id).
- Our paper has been accepted to ACL2024🎉[2024-06-21]
- Major updates have been made to the dataset accordingly (V2.2.0).
- Download the CAMERA dataset w/o LP images (ver.2.2.0 | 126.2 MiB)
- Download the CAMERA dataset w/ LP images (ver.2.2.0 | 61.5 GiB)
Note: The wget command is not available.
You can also access this dataset via the Hugging Face Hub.
| Name | Description |
|---|---|
| asset_id | ids (associated with LP images) |
| kw | search keyword |
| lp_meta_description | meta description extracted from LP (i.e., LP Text) |
| title_org | ad text (original gold reference) |
| title_ne{1-3} | ad text (additional gold references for multi-reference evaluation |
| domain | industry domain (HR, EC, Fin, Edu) for industry-wise evaluation |
| parsed_full_text_annotation | OCR results for LP images |
Thank you for your interest in our dataset. If you use it in your research, please cite:
@misc{mita2024striking,
title={Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation},
author={Masato Mita and Soichiro Murakami and Akihiko Kato and Peinan Zhang},
year={2024},
eprint={2309.12030},
archivePrefix={arXiv},
primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.