Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              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 71, 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.

SimpleWikiSearch Indexes

Offline Wikipedia indexes for SimpleWikiSearch (arXiv:2607.26070).

These files are binary search indexes (not row-oriented tables). Download and extract them locally; they are not intended for load_dataset().

Paper page: https://huggingface.co/papers/2607.26070

Files

Archive Size (approx.) Contents
enwiki-20260601-tantivy-chunk-1536.tar.zst ~22 GB Tantivy keyword index + chunk text store
enwiki-20260601-faiss-hnsw-Qwen3-Embedding-0.6B.tar.zst ~19 GB FAISS HNSW dense index (Qwen3-Embedding-0.6B, dim=1024, fp16)

Corpus snapshot: enwiki-202606017,189,602 articles / 10,837,506 section-aware chunks (target 1536 tokens).

Extract

tar -I zstd -xf enwiki-20260601-faiss-hnsw-Qwen3-Embedding-0.6B.tar.zst
tar -I zstd -xf enwiki-20260601-tantivy-chunk-1536.tar.zst

Expected layout:

data/database/wikipedia-index/enwiki-20260601/
  faiss/hnsw-Qwen3-Embedding-0.6B-chunk-1536-fp16/
    index.faiss
    ids.pkl
  tantivy/chunk-1536/
    chunks/
    titles/

Full setup (embedding server, MCP tools, QA agent): see deploy.md in the GitHub repo.

License

Wikipedia text is available under CC BY-SA 3.0. Indexes derived from that dump inherit the same license obligations.

Citation

@misc{xiong2026simplewikisearchcleanofflinewikipedia,
      title={SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search},
      author={Guanming Xiong and Penghui Zhang},
      year={2026},
      eprint={2607.26070},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2607.26070},
}
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