The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2459, in read_schema
file = ParquetFile(
where, memory_map=memory_map,
decryption_properties=decryption_properties)
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
~~~~~~~~~~~~~~~~^
source, use_memory_map=memory_map,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
arrow_extensions_enabled=arrow_extensions_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Plaintext Wikipedia (Simple English)
Compressed plaintext articles from Simple English Wikipedia. One current main-namespace revision per non-redirect article; titles and cleaned text are stored as UTF-8 in independent gzip shards.
Produced and maintained by cheeseonamonkey/PlainTextWikipedia.
Dataset availability
1 compressed archives currently published. A current source-coverage manifest is unavailable. Archive count alone does not establish complete article coverage.
Format
Each .txt.gz shard has three lines per article (title, single-line body, blank separator):
Article title
Cleaned article body
Next title
Next article body
Shard files are normally named simplewiki_01_of_NN.txt.gz, etc. If one shard fails, recovery splits it into named halves like simplewiki_01a_of_NN.txt.gz and simplewiki_01b_of_NN.txt.gz; a failing half can split again (01ba, 01bb, etc.). Only successful, non-overlapping leaves are published.
The machine-readable coverage file data/build-manifest.json records which roots and subranges completed. Always check its complete flag before treating a dataset as exhaustive. These are raw text archives, not structured rows with title and body fields in the Hugging Face datasets API.
Example: download and read
import gzip
from huggingface_hub import HfApi, hf_hub_download
repo = "ffatty/plain-text-wikipedia-simpleenglish"
files = sorted(
path for path in HfApi().list_repo_files(repo, repo_type="dataset")
if path.startswith("data/") and path.endswith(".txt.gz")
)
path = hf_hub_download(repo, filename=files[0], repo_type="dataset")
with gzip.open(path, "rt", encoding="utf-8") as stream:
title = stream.readline().rstrip("\n")
body = stream.readline().rstrip("\n")
print(title, body[:200])
Sources and attribution
- cheeseonamonkey/PlainTextWikipedia — maintained converter and publisher.
- daveshap/PlainTextWikipedia — original upstream project (unmaintained).
- Wikimedia dumps — article source.
Wikipedia content is released under Creative Commons Attribution-ShareAlike (CC BY-SA); the conversion code is MIT licensed. Follow the applicable Wikimedia reuse requirements, including author attribution.
Generated by cheeseonamonkey/PlainTextWikipedia. Source data: Wikimedia dumps.
- Downloads last month
- 97