The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 237, in _split_generators
raise ValueError(
ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Street Perception Evaluation Considering Socioeconomics (SPECS)
Repository for the Street Perception Evaluation Considering Socioeconomics (SPECS) dataset developed in the It's not you, it's me: Global urban visual perception varies across demographics and personalities project.
This dataset is also used in related work titled It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities, codebase and additional dataset is also available.
These projects were developed at the Future Cities Lab Global in the Singapore-ETH Centre in close collaboration with the Urban Analytics Lab (UAL) at the National University of Singapore (NUS).
Content Breakdown
SPECS
βββ abuja/
βββ 10 CSV files with contextual information for this city' images
βββ global-streetscapes/ (download contextual data from original [Global Streetscapes](https://huggingface.co/datasets/NUS-UAL/global-streetscapes))
βββ labels/
βββ final/ (6 XLSX files with final pairwise comparisons)
βββ inferences/ (6 CSV files with inferred perception scores using the perception model used in [Global Streetscapes](https://huggingface.co/datasets/NUS-UAL/global-streetscapes))
βββ processed/ (10 CSV files with computed perception Q scores)
βββ svi/ (SVIs should be downloaded following the [wiki](https://github.com/matqr/specs/wiki) or with the metadata file)
βββ img_paths.csv (path location )
βββ metadata.csv (file with imagery metadata)
βββ visual_complexity_all.csv
Read More
Read more about this project on its website, which includes an overview of this effort together with the background and the paper.
A free version (postprint / author-accepted manuscript) can be downloaded here.
Citation
To cite this work, please refer to the paper:
Quintana M, Gu Y, Liang X, Hou Y, Ito K, Zhu Y, Abdelrahman M, Biljecki F (2025): Global urban visual perception varies across demographics and personalities. Nature Cities 2(11): 1092-1106. doi: 10.1038/s44284-025-00330-x
BibTeX:
@article{quintana2025,
title = {Global Urban Visual Perception Varies across Demographics and Personalities},
author = {Quintana, Matias and Gu, Youlong and Liang, Xiucheng and Hou, Yujun and Ito, Koichi and Zhu, Yihan and Abdelrahman, Mahmoud and Biljecki, Filip},
year = {2025},
journal = {Nature Cities},
volume = {2},
number = {11},
pages = {1092--1106},
issn = {2731-9997},
doi = {10.1038/s44284-025-00330-x},
url = {https://www.nature.com/articles/s44284-025-00330-x},
}
Related projects
Quintana, M., Liu, F., Torkko, J., Gu, Y., Liang, X., Hou, Y., Ito, K., Zhu, Y., Abdelrahman, M., Toivonen, T., Lu, Y., & Biljecki, F. (2026). It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities. Landscape and Urban Planning, 271, 105618. https://doi.org/10.1016/j.landurbplan.2026.105618
BibTeX:
@article{quintana2026,
title = {It Is Not Always Greener on the Other Side: Greenery Perception across Demographics and Personalities in Multiple Cities},
author = {Quintana, Matias and Liu, Fangqi and Torkko, Jussi and Gu, Youlong and Liang, Xiucheng and Hou, Yujun and Ito, Koichi and Zhu, Yihan and Abdelrahman, Mahmoud and Toivonen, Tuuli and Lu, Yi and Biljecki, Filip},
year = {2026},
journal= {Landscape and Urban Planning},
volume = {271},
pages = {105618},
issn = {0169-2046},
doi = {10.1016/j.landurbplan.2026.105618},
url = {https://www.sciencedirect.com/science/article/pii/S0169204626000423},
}
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