Terraa/vis-desc-small

753 book segments of 150-500 characters manually labeled for evaluation of visual descriptiveness, each by two annotators. Segments were sampled from 400 English Project Gutenberg books.

249 segments (those with non-null dataset) were sampled from https://huggingface.co/datasets/Terraa/vis-desc-large to balance the train set (labels 1, 4, 5). To comply with licenses of texts from that dataset, this one copies its licence and citations below.

=> this yields 1002 rows in total, split into a balanced train (0.77) and test (0.23) set.

Citations

@misc{flickr10m,
  author = { Caption Emporium },
  title = {flickr-megalith-10m-internvl2-multi-caption},
  year = {2024},
  publisher = {Huggingface},
  journal = {Huggingface repository},
  howpublished = {\url{https://huggingface.co/datasets/CaptionEmporium/flickr-megalith-10m-internvl2-multi-caption}},
}

@article{flickr30k,
    author = {Young, Peter and Lai, Alice and Hodosh, Micah and Hockenmaier, Julia},
    title = {{From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions}},
    journal = {Transactions of the Association for Computational Linguistics},
    volume = {2},
    pages = {67--78},
    year = {2014},
    doi = {10.1162/tacl_a_00166}
}

@article{mscoco,
    author = {Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Bourdev, Lubomir and Girshick, Ross and Hays, James and Perona, Pietro and Ramanan, Deva and Zitnick, C. Lawrence and Doll{\ifmmode\acute{a}\else\'{a}\fi}r, Piotr},
    title = {{Microsoft COCO: Common Objects in Context}},
    journal = {arXiv},
    year = {2014},
    month = may,
    eprint = {1405.0312},
    doi = {10.48550/arXiv.1405.0312}
}

@inproceedings{im2text,
 author = {Ordonez, Vicente and Kulkarni, Girish and Berg, Tamara},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {J. Shawe-Taylor and R. Zemel and P. Bartlett and F. Pereira and K.Q. Weinberger},
 pages = {},
 publisher = {Curran Associates, Inc.},
 title = {Im2Text: Describing Images Using 1 Million Captioned Photographs},
 url = {https://proceedings.neurips.cc/paper/2011/file/5dd9db5e033da9c6fb5ba83c7a7ebea9-Paper.pdf},
 volume = {24},
 year = {2011}
}

@article{movie-summaries,
    author = {Bamman, David and O{'}Connor, Brendan and Smith, Noah A.},
    title = {{Learning Latent Personas of Film Characters}},
    journal = {ACL Anthology},
    pages = {352--361},
    year = {2013},
    month = aug,
    url = {https://aclanthology.org/P13-1035}
}

@article{book-summaries,
    author = {Bamman, David and Smith, Noah A.},
    title = {{New Alignment Methods for Discriminative Book Summarization}},
    journal = {arXiv},
    year = {2013},
    month = may,
    eprint = {1305.1319},
    doi = {10.48550/arXiv.1305.1319}
}

@inproceedings{gutenberg-dialogues,
    title = "The Gutenberg Dialogue Dataset",
    author = "Cs{\'a}ky, Rich{\'a}rd and Recski, G{\'a}bor",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics",
    month = apr,
    year = "2021",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2004.12752",
}

@article{wikitext,
    author = {Merity, Stephen and Xiong, Caiming and Bradbury, James and Socher, Richard},
    title = {{Pointer Sentinel Mixture Models}},
    journal = {arXiv},
    year = {2016},
    month = sep,
    urldate = {2025-11-15},
    eprint = {1609.07843},
    doi = {10.48550/arXiv.1609.07843}
}

@article{xsum,
  title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
  author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
  journal={ArXiv},
  year={2018},
  volume={abs/1808.08745}
}

@article{hotel-reviews,
    author = {Alam, {\relax Md}. Hijbul and Ryu, Woo-Jong and Lee, SangKeun},
    title = {{Joint Multi-grain Topic Sentiment: Modeling Semantic Aspects for Online Reviews}},
    journal = {Inform. Sci.},
    volume = {339},
    year = {2016},
    month = jan,
    issn = {0020-0255},
    publisher = {Elsevier BV},
    doi = {10.1016/j.ins.2016.01.013}
}

@article{yelp-reviews,
    author = {Zhang, Xiang and Zhao, Junbo and LeCun, Yann},
    title = {{Character-level Convolutional Networks for Text Classification}},
    journal = {Advances in Neural Information Processing Systems},
    volume = {28},
    year = {2015},
    url = {https://papers.nips.cc/paper_files/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html}
}

@article{scientific-papers,
   title={A Discourse-Aware Attention Model for Abstractive Summarization of
            Long Documents},
   url={http://dx.doi.org/10.18653/v1/n18-2097},
   DOI={10.18653/v1/n18-2097},
   journal={Proceedings of the 2018 Conference of the North American Chapter of
          the Association for Computational Linguistics: Human Language
          Technologies, Volume 2 (Short Papers)},
   publisher={Association for Computational Linguistics},
   author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli},
   year={2018}
}

@article{amazon-reviews,
  title={Bridging Language and Items for Retrieval and Recommendation},
  author={Hou, Yupeng and Li, Jiacheng and He, Zhankui and Yan, An and Chen, Xiusi and McAuley, Julian},
  journal={arXiv preprint arXiv:2403.03952},
  year={2024}
}