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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 66 new columns ({'Bus', 'Sand', 'Bird', 'Wall', 'Snow', 'Bike-Rack', 'Traffic-Sign-Frame', 'CCTV-Camera', 'On-Rails', 'Utility-Pole', 'Boat', 'Car', 'Trailer', 'Building', 'Crosswalk---Plain', 'Curb-Cut', 'Sky', 'Car-Mount', 'Traffic-Sign-(Front)', 'Mailbox', 'Terrain', 'Pedestrian-Area', 'Bicyclist', 'Fence', 'Traffic-Light', 'Wheeled-Slow', 'Road', 'Ego-Vehicle', 'Sidewalk', 'Manhole', 'Trash-Can', 'Truck', 'Water', 'Curb', 'Catch-Basin', 'Guard-Rail', 'Tunnel', 'Traffic-Sign-(Back)', 'Banner', 'Rail-Track', 'Junction-Box', 'Mountain', 'Bike-Lane', 'Bridge', 'Parking', 'Barrier', 'Pothole', 'Other-Rider', 'Bicycle', 'Lane-Marking---Crosswalk', 'Phone-Booth', 'Ground-Animal', 'Vegetation', 'Service-Lane', 'Street-Light', 'Fire-Hydrant', 'Billboard', 'Pole', 'Other-Vehicle', 'Lane-Marking---General', 'uuid', 'Bench', 'Caravan', 'Person', 'Motorcycle', 'Motorcyclist'}) and 2 missing columns ({'no', '0957e928-b574-411a-900a-2b314400350c'}).
This happened while the csv dataset builder was generating data using
hf://datasets/matiasqr/specs/abuja/abuja_instances.csv (at revision ec8b9f4c7e66821f57421b044b384bbc1bd05b24)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
uuid: string
Bird: int64
Ground-Animal: int64
Curb: int64
Fence: int64
Guard-Rail: int64
Barrier: int64
Wall: int64
Bike-Lane: int64
Crosswalk---Plain: int64
Curb-Cut: int64
Parking: int64
Pedestrian-Area: int64
Rail-Track: int64
Road: int64
Service-Lane: int64
Sidewalk: int64
Bridge: int64
Building: int64
Tunnel: int64
Person: int64
Bicyclist: int64
Motorcyclist: int64
Other-Rider: int64
Lane-Marking---Crosswalk: int64
Lane-Marking---General: int64
Mountain: int64
Sand: int64
Sky: int64
Snow: int64
Terrain: int64
Vegetation: int64
Water: int64
Banner: int64
Bench: int64
Bike-Rack: int64
Billboard: int64
Catch-Basin: int64
CCTV-Camera: int64
Fire-Hydrant: int64
Junction-Box: int64
Mailbox: int64
Manhole: int64
Phone-Booth: int64
Pothole: int64
Street-Light: int64
Pole: int64
Traffic-Sign-Frame: int64
Utility-Pole: int64
Traffic-Light: int64
Traffic-Sign-(Back): int64
Traffic-Sign-(Front): int64
Trash-Can: int64
Bicycle: int64
Boat: int64
Bus: int64
Car: int64
Caravan: int64
Motorcycle: int64
On-Rails: int64
Other-Vehicle: int64
Trailer: int64
Truck: int64
Wheeled-Slow: int64
Car-Mount: int64
Ego-Vehicle: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7866
to
{'0957e928-b574-411a-900a-2b314400350c': Value('string'), 'no': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 66 new columns ({'Bus', 'Sand', 'Bird', 'Wall', 'Snow', 'Bike-Rack', 'Traffic-Sign-Frame', 'CCTV-Camera', 'On-Rails', 'Utility-Pole', 'Boat', 'Car', 'Trailer', 'Building', 'Crosswalk---Plain', 'Curb-Cut', 'Sky', 'Car-Mount', 'Traffic-Sign-(Front)', 'Mailbox', 'Terrain', 'Pedestrian-Area', 'Bicyclist', 'Fence', 'Traffic-Light', 'Wheeled-Slow', 'Road', 'Ego-Vehicle', 'Sidewalk', 'Manhole', 'Trash-Can', 'Truck', 'Water', 'Curb', 'Catch-Basin', 'Guard-Rail', 'Tunnel', 'Traffic-Sign-(Back)', 'Banner', 'Rail-Track', 'Junction-Box', 'Mountain', 'Bike-Lane', 'Bridge', 'Parking', 'Barrier', 'Pothole', 'Other-Rider', 'Bicycle', 'Lane-Marking---Crosswalk', 'Phone-Booth', 'Ground-Animal', 'Vegetation', 'Service-Lane', 'Street-Light', 'Fire-Hydrant', 'Billboard', 'Pole', 'Other-Vehicle', 'Lane-Marking---General', 'uuid', 'Bench', 'Caravan', 'Person', 'Motorcycle', 'Motorcyclist'}) and 2 missing columns ({'no', '0957e928-b574-411a-900a-2b314400350c'}).
This happened while the csv dataset builder was generating data using
hf://datasets/matiasqr/specs/abuja/abuja_instances.csv (at revision ec8b9f4c7e66821f57421b044b384bbc1bd05b24)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
0957e928-b574-411a-900a-2b314400350c
string | no
string |
|---|---|
4b4d67a0-762e-454e-95b4-ae59d5141af1
|
no
|
be9438a8-e31a-4cd7-a1ee-5d0e6be503eb
|
no
|
f5a2c4ee-e309-4498-820b-2483214aea30
|
no
|
4a9096cb-96f8-448f-90d4-cc33042a7b96
|
no
|
f6a31199-b3d2-4eb4-bdc3-c3258fe4dd39
|
no
|
4dc26489-64db-4002-9c5c-aef3bf34b04c
|
no
|
9205a212-13f0-4e9e-9a2f-61454aa7f419
|
no
|
f2ef4bba-2afd-444d-945f-cc6cab094c67
|
no
|
4e89d815-290f-4e13-af97-5a06148e5abf
|
no
|
91bb7318-6177-42f9-9d62-befd99ee74df
|
no
|
2095d7b9-dea7-4064-ab19-fd2915abb97c
|
no
|
ee47941d-e083-4c6d-aec9-5d8b9b53a812
|
no
|
05ccedec-0a17-4698-af29-7a9f073de8c4
|
no
|
f3c92294-d334-44c7-a9e1-9b8869484423
|
no
|
0fe98505-6264-4f41-acc4-6d9000f86ec9
|
no
|
07714585-b4a2-4385-b630-babf648b054d
|
no
|
6c797e52-932a-4ad0-9cd4-af10200ffdd5
|
no
|
cd7e4582-3c52-49bc-93e2-4358c05efafb
|
no
|
e1bc3beb-a78f-4320-bdf8-12993505017f
|
no
|
2964b4b2-750f-4645-8252-78e10f0f8d2c
|
no
|
10097dd0-aa37-47af-83b1-4c60abfbf03f
|
no
|
9ae04811-d66f-4023-9b7e-9fd90cb2ac5f
|
no
|
49cd056a-0d35-4189-bc95-4844872b8253
|
no
|
f4ab2927-5b74-494c-8fca-7391d5d93fb8
|
no
|
feaf697c-de8a-404c-8cd2-89842ff3aa1d
|
no
|
90e5c7a0-750c-4dbf-b643-f5d956c006bf
|
no
|
ab6ff5c1-d785-45d8-af5b-b7dccc4c73d5
|
no
|
7262a0ae-7460-4968-9f11-640b084d24ff
|
no
|
086f66bc-7159-48b8-bf54-bac85db1ee48
|
no
|
b0f8abc9-dc32-44e9-8d14-e8103dc56ef2
|
no
|
6de5381a-d48f-4e3d-972e-b6fc1226ac5b
|
no
|
14b5892f-e036-4b9e-9c28-902f1b4c28aa
|
no
|
8a93d55a-82b4-4ec7-90ba-9b397b88a955
|
no
|
e7a31a3d-9620-4aaf-9dcb-9863f475b75c
|
no
|
d9f9e78b-3e91-4a1f-8f94-82254fbb1c52
|
no
|
7bc1fb1d-28c3-45ef-b0d4-aad22d223b21
|
no
|
4e1b5be4-7444-418e-9362-f9250461fea5
|
no
|
5efa89ee-56de-48e9-8d51-42430808544b
|
no
|
b095faea-2694-4b97-8d08-73dcde9e54cf
|
no
|
61424451-9bbc-4eeb-be5c-be9ebd144075
|
no
|
186cb373-9fab-4fdd-855e-e989efada871
|
no
|
4794b154-f85a-47e7-971a-37351e65e796
|
no
|
cfc993dc-4563-4c4f-aad7-92fa4b018406
|
no
|
684dc561-7633-495a-aa70-c8e6907a6b50
|
no
|
2d775d0d-104b-4008-8527-2052980ca765
|
no
|
d051d309-633a-47c9-9ef7-f1b94cf63a20
|
no
|
f5b0ac44-118a-4120-9f3e-9b06f48bd7db
|
no
|
a4c3a072-124d-41b8-9e43-48e047be35a3
|
no
|
01a8512f-693d-4db5-bca4-0ed143b12812
|
no
|
81358bd5-b2bd-4493-a2a5-b252a1716c7a
|
no
|
b1c01042-28e7-4961-b3aa-83f0397b06c9
|
no
|
03e6b0d2-c9ee-4b9c-b943-2b6543e4a69a
|
no
|
b8e0f95f-f0b4-4e7c-a2dd-95e2395213e6
|
no
|
725c8d06-1f08-47ca-b94a-4b7284b33a94
|
no
|
d3e78e19-7849-4cae-8548-06b6ce51a86a
|
no
|
310d0884-6f9d-40a6-a47b-ba9e4ee725a3
|
no
|
7b81416b-6381-482b-a1f6-07bf018ce199
|
no
|
98f132ad-49e3-4d05-adfb-4cfc77bc1012
|
no
|
4481e006-ba5b-4cf7-b117-2e915e52e508
|
no
|
4fd29041-4bde-4b39-bc9f-88ccf69c5744
|
no
|
edc4901a-1cc0-4cae-896c-287b791d9313
|
no
|
0237e6c9-ac7f-40f0-ac7a-b35e96f2d3eb
|
no
|
42b11d12-f31f-4f81-bb40-a3a05c46f41c
|
no
|
85df495e-8ca4-445f-8a14-ee95d70b2dc6
|
no
|
ab9b1c84-e362-479d-97a1-21cebadb896a
|
no
|
0007cb81-41f0-45db-a8b2-e72fd4dbef4e
|
no
|
2d4e0f95-b032-41af-956e-1bea50ac8542
|
no
|
71aa6b03-5a0a-4423-b67d-1ae77cc6c07a
|
no
|
d749b9c7-cf23-40a6-ba4e-2aae1d3ade80
|
no
|
c595bfa6-efb0-405e-a556-d88d1120af7e
|
no
|
8204f7f3-4fc6-40a6-b59e-8bf30c4aad07
|
no
|
d9555408-cbb1-4dde-84de-e897edb4eb04
|
no
|
e832ceae-fee6-43b4-b2df-fcfaf8344fff
|
no
|
9891f8a7-a1c9-4877-b000-78c1c43ba612
|
no
|
87f39a91-e2db-4c3b-a633-7cecfd7b446a
|
no
|
eae51bac-5aa2-42a3-a879-583c34537335
|
no
|
133b51fc-d150-40a0-91db-093ba3a61701
|
yes
|
55420b4a-ea2a-4b68-92ac-eb9d24bcfb81
|
no
|
c07aba6d-fe9c-4fd3-b3a5-3d9692a5dfe0
|
no
|
67f87c1f-01f2-459e-9c4f-c614adcd16b2
|
no
|
f4a68069-188b-4c52-aecc-0201ca5aa7ed
|
no
|
ffdca73a-14ae-47f5-8a3c-736838447894
|
no
|
32dd6924-626f-4376-8162-95a8843ca507
|
no
|
ff1449e2-dcc2-4cd3-b184-b5c88ca8cc2d
|
no
|
9f987597-b52a-4e2b-81a8-107188a6793d
|
no
|
6d88ed37-03fb-4f15-9b48-22899eb5f243
|
no
|
fffd6194-ca90-4f63-ba76-76916f0ad601
|
no
|
28b5b349-3749-44bf-8bfc-dba056801e86
|
no
|
d7426989-15bf-49d3-ad33-5ab21843758c
|
no
|
956f8262-3ef5-4ed2-8023-8fc733f2ff34
|
no
|
6d3d41f3-532c-40b6-a3c2-f872cb1c34f0
|
no
|
2a367edc-583f-4e84-b16e-383c9b162bf1
|
no
|
f9d967fd-d26d-4f22-be4c-999e2acc0f2d
|
no
|
9e9c691f-98ee-4e27-98e8-d1de225e58f5
|
no
|
11f9b2dc-8448-4d2b-be91-ccd3275d9a23
|
no
|
3bf5b090-4dbc-4608-a7ee-9404b5f4a7fd
|
no
|
6f87b968-db36-458e-b742-992a312fcf62
|
no
|
0d5a500a-0fef-403b-926f-f1f082c6a03b
|
no
|
6ad8514e-9275-4319-bd62-41a3dbda05e5
|
no
|
fa91a2da-4e6c-4157-a2b7-5c97c28d44a1
|
no
|
End of preview.
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 (No. arXiv:2505.12758).
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},
doi = {10.48550/arXiv.2505.12758},
url = {http://arxiv.org/abs/2505.12758},
}
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