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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 14 new columns ({'task_categories', 'dataset_name', 'paperswithcode_id', 'tags', 'multilinguality', 'size_categories', 'creator', 'language', 'pretty_name', 'language_creators', 'source_datasets', 'annotations_creators', 'license', 'task_ids'}) and 2 missing columns ({'meters', 'mph'}).
This happened while the json dataset builder was generating data using
hf://datasets/spayno/running_speed/dataset-metadata.json (at revision 1be3a8e7402632565aecca31a761853ec1c8bc89)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
pretty_name: string
annotations_creators: list<item: string>
child 0, item: string
language: list<item: string>
child 0, item: string
language_creators: list<item: string>
child 0, item: string
license: list<item: string>
child 0, item: string
multilinguality: list<item: string>
child 0, item: string
size_categories: list<item: string>
child 0, item: string
source_datasets: list<item: string>
child 0, item: string
task_categories: list<item: string>
child 0, item: string
task_ids: list<item: string>
child 0, item: string
paperswithcode_id: null
tags: list<item: string>
child 0, item: string
creator: string
dataset_name: string
to
{'meters': Value(dtype='float32', id=None), 'mph': Value(dtype='float32', id=None)}
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 14 new columns ({'task_categories', 'dataset_name', 'paperswithcode_id', 'tags', 'multilinguality', 'size_categories', 'creator', 'language', 'pretty_name', 'language_creators', 'source_datasets', 'annotations_creators', 'license', 'task_ids'}) and 2 missing columns ({'meters', 'mph'}).
This happened while the json dataset builder was generating data using
hf://datasets/spayno/running_speed/dataset-metadata.json (at revision 1be3a8e7402632565aecca31a761853ec1c8bc89)
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.
meters
float32 | mph
float32 |
|---|---|
null | null |
Running Speed Dataset
Dataset Description
This placeholder dataset maps running distances to typical running speeds, providing a simple relationship between meters covered and miles per hour (mph). The dataset can be used for:
- Analyzing the relationship between distance and running speed
- Training basic regression models
- Educational purposes in data science
Dataset Structure
The dataset is a simple CSV file with two columns:
meters: Distance covered in metersmph: Corresponding speed in miles per hour
Data Fields
meters(float): The distance a person runs, measured in metersmph(float): The corresponding speed, measured in miles per hour
Data Splits
The dataset consists of a single training split with no test/validation splits provided.
Dataset Creation
Source Data
The data represents typical running speeds across different distances, compiled to demonstrate the general trend that running speed tends to decrease as distance increases.
Annotations
This dataset contains no annotations as it is a simple numerical mapping.
Additional Information
License
MIT License
Citation
If you use this dataset, please cite:
@dataset{running_speed_2025,
author = {Sean Payne},
title = {Running Speed Dataset},
month = {1},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/spayno/running_speed}
}
Contributions
Feel free to contribute to this dataset by opening a pull request.
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