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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 33, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1380, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1331, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
t = cls(name, filemode, stream, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
self.firstmember = self.next()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
raise ReadError(str(e)) from None
tarfile.ReadError: invalid header
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
TopoGraphRAG-Bench Data Package
This directory contains the strict benchmark annotations and source document
artifacts for the 201 MMDocIR documents used in the benchmark. The benchmark
annotations and metadata are provided as regular JSON files, while the larger
document artifacts are stored as compressed .tar.zst archives to keep the
repository small and easy to upload/download.
Contents
annotations/benchmark.json: 2,024 benchmark questions with topology and evidence annotations.manifest.json: mapping from benchmarkdoc_idto document base names and copied files.croissant.json: Croissant and Responsible AI metadata.archives/loaded_info.tar.zst: pre-builtloaded_info.jsonconsumed by the construction pipeline (entity / fact / QA generation steps).image_pathfields are stored relative to the dataset root so they resolve directly after extraction.archives/doc_pdfs.tar.zst: original PDF files for the sampled documents.archives/layout_content.tar.zst: MMDocIR layout-level JSONL files.archives/page_content.tar.zst: MMDocIR page-level JSONL files.archives/page_images.tar.zst: page images for the sampled documents.archives/layout_images.tar.zst: cropped figure/table layout images.archives/layout_text_images.tar.zst: cropped text layout images.
Extracting Archives
To restore the full data layout locally, run:
for archive in archives/*.tar.zst; do
tar --use-compress-program=unzstd -xf "$archive"
done
After extraction, the paths listed in manifest.json will resolve relative to
the dataset root.
The original document artifacts remain subject to the upstream MMDocIR license and usage terms. The benchmark annotations are derivative annotations over these document/layout identifiers.
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