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 78, 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 54, in _get_pipeline_from_tar
                  current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: invalid literal for int() with base 10: b'\t\x00\x00\x00\x01\x00\x00\x00\xb7\n\x00\x00\x00\x00\x00\x00\x80\x00\x00\x00\x00\x00\x00\x00\xf4\x03\x00\x00\x00\x00\x00\x00\x04\x01\x00\x00\x00\x00\x00\x00\x1f\x00\x00\x00\x00\x00\x00\x00\x00\x00\x
              
              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.

Edge Dataset Artifacts

Eight audited artifact bundles for LihuaWorld, ConcurrentQA, and ConcurrentQA-Extended. Download tooling and documentation: lar0129/edge-dataset-artifacts.

manifest.json pins an immutable commit containing the archives under releases/v1/ and records per-archive/per-file SHA-256 checksums, install paths, corpus fingerprints, validation results, and known provenance limits.

Dataset Bundles
LihuaWorld 425-document TXT corpus + QA, complete historical MiniRAG graph, Flat
ConcurrentQA Complete 2,743-document MiniRAG graph, Flat, matching rebuilt DiskANN
ConcurrentQA-Extended Flat (991,397 vectors, 991,376 distinct texts), DiskANN (991,376 passages)

No standalone ConcurrentQA/Extended corpus dumps, Extended graph, or LihuaWorld DiskANN are distributed. Retrieval indexes contain the text needed to return passages; upstream data terms still apply. Model weights are not included. Compact DiskANN requires a matching query-time embedding service.

See REPRODUCING.md for source revisions, reconstruction rules, version selection, data terms, and the difference between structural validation and full end-to-end reproduction.

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