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 project was 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
├── abuja/
├── 10 CSV files with contextual information for this city' images
├── global-streetscapes/ (download contextual data from original [Global Streetscapes](https://huggingface.co/datasets/NUS-UAL/global-streetscapes))
├── labels/
├── final/ (6 XLSX files with final pairwise comparisons)
├── inferences/ (6 CSV files with inferred perception scores using the perception model used in [Global Streetscapes](https://huggingface.co/datasets/NUS-UAL/global-streetscapes))
├── processed/ (10 CSV files with computed perception Q scores)
├── svi/ (SVIs should be downloaded following the [wiki](https://github.com/matqr/specs/wiki) or with the metadata file)
├── img_paths.csv (path location )
├── metadata.csv (file with imagery metadata)
├── 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},
}
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