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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 10 new columns ({'website', 'company', 'featured', 'id', 'pricing', 'description', 'tags', 'slug', 'category', 'name'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/haseeb788/ai-tools-dataset/tools.json (at revision 5196f81a830c175cbe8bcd3ae92c645268fea7ee), ['hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/categories.json', 'hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/tools.json'], ['hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/categories.json', 'hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/tools.json']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: int64
name: string
slug: string
description: string
website: string
category: string
pricing: string
company: string
featured: bool
tags: list<item: string>
child 0, item: string
to
{'text': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 10 new columns ({'website', 'company', 'featured', 'id', 'pricing', 'description', 'tags', 'slug', 'category', 'name'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/haseeb788/ai-tools-dataset/tools.json (at revision 5196f81a830c175cbe8bcd3ae92c645268fea7ee), ['hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/categories.json', 'hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/tools.json'], ['hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/categories.json', 'hf://datasets/haseeb788/ai-tools-dataset@5196f81a830c175cbe8bcd3ae92c645268fea7ee/tools.json']
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.
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AI Chat |
Audio |
Automation |
Business |
Coding |
Design |
Developer Tools |
Education |
Image Generation |
Marketing |
Productivity |
Research |
SEO |
Video Generation |
Writing |
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NeutrixFlow AI Tools Dataset
A structured dataset of AI tools organized for discovery and exploration across different AI use cases.
The dataset is maintained as part of the NeutrixFlow AI Tool Finder, a curated directory for discovering AI tools by category and use case.
Dataset Contents
The dataset currently contains two JSON files:
tools.json
Contains structured information about the AI tools included in the dataset.
categories.json
Contains the categories used to organize the AI tools.
Intended Use
This dataset can be useful for:
- AI tool discovery and research
- Building AI tool directories
- Developing search and filtering systems
- Categorizing AI software
- Prototyping AI tool recommendation systems
- Exploring AI software ecosystems
- Building applications that require structured AI-tool metadata
Data Format
The dataset is provided in JSON format to make it easy to consume from applications, scripts, and data-processing pipelines.
Example usage:
import json
with open("tools.json", "r", encoding="utf-8") as f:
tools = json.load(f)
with open("categories.json", "r", encoding="utf-8") as f:
categories = json.load(f)
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