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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 1 new columns ({'logic_rules'})
This happened while the json dataset builder was generating data using
hf://datasets/akweury/ELVIS/symmetry/train/000_0_non_overlap_solar_sys_rel_color_2_s_irrel_size/negative/00000.json (at revision 21979c21d59cf9a897b55f0a802ef0311f88b9bf)
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
principle: string
id: int64
num: int64
group_num: string
qualifier_all: bool
qualifier_exist: bool
prop_shape: bool
prop_color: bool
non_overlap: bool
prop_size: bool
prop_count: bool
resolution: int64
logic_rules: string
img_data: list<item: struct<x: double, y: double, size: double, color_name: int64, color_r: int64, color_g: int64, color_b: int64, shape: string, line_width: int64, solid: bool, start_angle: int64, end_angle: int64, group_id: int64>>
child 0, item: struct<x: double, y: double, size: double, color_name: int64, color_r: int64, color_g: int64, color_b: int64, shape: string, line_width: int64, solid: bool, start_angle: int64, end_angle: int64, group_id: int64>
child 0, x: double
child 1, y: double
child 2, size: double
child 3, color_name: int64
child 4, color_r: int64
child 5, color_g: int64
child 6, color_b: int64
child 7, shape: string
child 8, line_width: int64
child 9, solid: bool
child 10, start_angle: int64
child 11, end_angle: int64
child 12, group_id: int64
to
{'principle': Value('string'), 'id': Value('int64'), 'num': Value('int64'), 'group_num': Value('string'), 'qualifier_all': Value('bool'), 'qualifier_exist': Value('bool'), 'prop_shape': Value('bool'), 'prop_color': Value('bool'), 'non_overlap': Value('bool'), 'prop_size': Value('bool'), 'prop_count': Value('bool'), 'resolution': Value('int64'), 'img_data': List({'x': Value('float64'), 'y': Value('float64'), 'size': Value('float64'), 'color_name': Value('int64'), 'color_r': Value('int64'), 'color_g': Value('int64'), 'color_b': Value('int64'), 'shape': Value('string'), 'line_width': Value('int64'), 'solid': Value('bool'), 'start_angle': Value('int64'), 'end_angle': Value('int64'), 'group_id': Value('int64')})}
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 1 new columns ({'logic_rules'})
This happened while the json dataset builder was generating data using
hf://datasets/akweury/ELVIS/symmetry/train/000_0_non_overlap_solar_sys_rel_color_2_s_irrel_size/negative/00000.json (at revision 21979c21d59cf9a897b55f0a802ef0311f88b9bf)
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.
principle string | id int64 | num int64 | group_num string | qualifier_all bool | qualifier_exist bool | prop_shape bool | prop_color bool | non_overlap bool | prop_size bool | prop_count bool | resolution int64 | img_data list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
closure | 1 | 10 | s | false | false | true | false | true | false | false | 1,024 | [
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"x": 0.564914129762542,
"y": 0.4353213089578035,
"size": 0.07331739962792053,
"color_name": 30,
"color_r": 139,
"color_g": 0,
"color_b": 0,
"shape": "triangle",
"line_width": -1,
"solid": true,
"start_angle": 0,
"end_angle": 360,
"group_id": 0
},
{
"x": ... |
closure | 1 | 10 | s | false | false | true | false | true | false | false | 1,024 | [
{
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"color_name": 117,
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{
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{
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closure | 1 | 10 | s | false | false | true | false | true | false | false | 1,024 | [
{
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closure | 2 | 10 | m | false | false | true | false | true | false | false | 1,024 | [
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closure | 2 | 10 | m | false | false | true | false | true | false | false | 1,024 | [
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closure | 2 | 10 | m | false | false | true | false | true | false | false | 1,024 | [
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"x": 0.53627931166... |
closure | 2 | 10 | m | false | false | true | false | true | false | false | 1,024 | [
{
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{
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closure | 2 | 10 | m | false | false | true | false | true | false | false | 1,024 | [
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YAML Metadata Warning: empty or missing yaml metadata in repo card
Check out the documentation for more information.
Gestalt Pattern Reasoning Benchmark
This repository contains a dataset and benchmarking framework for Gestalt pattern reasoning. The dataset consists of thousands of procedurally generated visual patterns based on Gestalt principles, including proximity, similarity, closure, symmetry, and continuity. The benchmark is designed to evaluate both human and AI performance in recognizing and reasoning about these patterns.
Github
The Dataset Generator and Benchmark Evaluation Code is on the Github.
Dataset
principle_all_resolution_224_num_100.zip: includes 5 Gestalt Principles, each task has 100 examples for each labels. The image resolution is 224x224.
File Structure
Gestalt Reasoning Benchmark/
│── data/
│ │── raw_patterns/ # Unprocessed/generated raw patterns
│ │ │── proximity/
│ │ │ │── train/
│ │ │ │ │── 0001_red_triangle/
│ │ │ │ │ │── positive/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
│ │ │ │ │ │── negative/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
│ │ │ │── test/
│ │ │ │ │── 0001_red_triangle/
│ │ │ │ │ │── positive/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
│ │ │ │ │ │── negative/
│ │ │ │ │ │ │── 00000.png
│ │ │ │ │ │ │── 00000.json
│ │ │ │ │ │ │── 00001.png
│ │ │ │ │ │ │── 00001.json
│ │ │ │ │ │ │── 00002.png
│ │ │ │ │ │ │── 00002.json
Citation
If you use the Gestalt Vision dataset in your research or work, please cite our paper:
@inproceedings{sha2025gestalt,
author = {Jingyuan Sha and Hikaru Shindo and Kristian Kersting and Devendra Singh Dhami},
title = {Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception},
booktitle = {Proceedings of the 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy)},
year = {2025}
}
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