Error code:   ConfigNamesError
Exception:    TypeError
Message:      argument of type 'bool' is not iterable
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 666, in get_module
                  builder_configs, default_config_name = create_builder_configs_from_metadata_configs(
                                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 363, in create_builder_configs_from_metadata_configs
                  builder_config_cls(
                File "<string>", line 14, in __init__
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 90, in __post_init__
                  super().__post_init__()
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 129, in __post_init__
                  if invalid_char in self.name:
                     ^^^^^^^^^^^^^^^^^^^^^^^^^
              TypeError: argument of type 'bool' is not iterable

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Wikinium

Wikinium is alive.

The Living Wikipedia Dataset

Wikinium is a continuously evolving Wikipedia dataset optimized for Large Language Model pretraining.

Unlike traditional Wikipedia datasets that are generated once and eventually become outdated, Wikinium is a living dataset. Articles are continuously collected, processed, updated, and published as Wikipedia itself evolves.

Knowledge changes every day.

Wikinium changes with it.

What is a Living Dataset?

Most Wikipedia datasets represent a snapshot in time.

Wikinium represents a process.

New articles are continuously added, existing articles are continuously refreshed, and improvements propagate automatically throughout the dataset.

As a result, Wikinium remains aligned with the ever-changing state of Wikipedia rather than a historical dump captured months or years ago.

Continuous Updates

Wikinium is updated automatically approximately every 10 minutes to 1 hour, depending on processing conditions.

Updates include:

Newly created Wikipedia articles
Existing article revisions
Dataset growth through continuous acquisition
Quality improvements from the processing pipeline

The dataset is therefore never truly "finished".

It is alive.

Powered by Wikinium-Maker

Wikinium is generated and maintained by Wikinium-Maker, an autonomous processing system hosted on Hugging Face Spaces.

Current public instances:

These systems continuously perform:

Wikipedia article acquisition
Content extraction
Advanced noise removal
High-fidelity Markdown transformation
LLM pretraining optimization
Continuous publication to Rikunarita-ORG/Wikinium

The entire pipeline operates with minimal human intervention.

Built for LLM Pretraining

Raw Wikipedia pages contain significant amounts of information that are irrelevant for language model learning:

HTML boilerplate
Navigation structures
Interface elements
Styling metadata
Template artifacts
Other structural noise

Wikinium-Maker transforms Wikipedia articles into clean Markdown specifically optimized for machine learning workloads.

Key Goals

Preserve knowledge
Remove noise
Maintain structure
Improve token efficiency
Maximize training quality

The resulting Markdown representation is designed to be significantly more suitable for language model pretraining than raw HTML dumps.

Observe Wikinium While It Lives

One of the unique aspects of Wikinium is that its creation process is publicly observable.

You can watch the active generation pipeline in real time through the Wikinium-Maker Spaces:

These Spaces allow anyone to observe the dataset's ongoing evolution as articles are collected, processed, and prepared for publication.

Rather than downloading a static artifact, you can watch the dataset being created.

Pipeline Overview

Wikipedia

↓ Continuous Acquisition

Wikinium-Maker

↓ Noise Removal

↓ Markdown Transformation

↓ LLM Optimization

↓ Quality Processing

Rikunarita-ORG/Wikinium

↓ Continuous Updates

Living Dataset

Core Characteristics

Feature	Wikinium
Living Dataset	Yes
Continuous Growth	Yes
Existing Article Refresh	Yes
Automated Operation	Yes
Markdown Native	Yes
LLM Optimized	Yes
Public Processing Pipeline	Yes
Hugging Face Native	Yes

Philosophy

Traditional datasets preserve a moment.

Wikinium preserves a flow.

It is not merely a collection of Wikipedia articles.

It is a continuously evolving knowledge corpus built for the next generation of language models.

Generated by Wikinium-Maker.

Continuously evolving with Wikipedia.

Continuously growing with human knowledge.

@misc{wikinium,
  title={Wikinium},
  author={Rikunarita-ORG},
  year={2026},
  url={https://huggingface.co/datasets/Rikunarita-ORG/Wikinium},
  publisher={Hugging Face}
}

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