The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label mib-doc-challenge-data@36d68adc38882ce987d3cd41ad9d32b525c98521
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2368, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2285, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2162, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1446, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1469, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1144, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1081, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1102, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label mib-doc-challenge-data@36d68adc38882ce987d3cd41ad9d32b525c98521Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MIB Doc Challenge Data
Synthetic PDF packets for 8090's MIB Doc Challenge: Intergalactic Intake. Participants extract structured fields from messy, adversarial document packets and classify each case as APPROVED, DENIED, or NEEDS_REVIEW.
Contents
The versioned archive mib-doc-challenge-public-data-v2026-07-07.zip contains:
data/train/: 1,000 training PDFsdata/train_labels.csv: public labels for the training PDFsdata/validation/: 5,000 unlabeled validation PDFsdata/validation_manifest.csv: validation case IDs, paths, and page counts
Validation answers and the final private test set are not included.
Integrity
SHA-256:
a9bb8c1bbf51346ebf49c2e3e1acdb7a5d6cd0760162767b0d133c7b7200f3c4 mib-doc-challenge-public-data-v2026-07-07.zip
Data characteristics
All applicant identities, documents, portraits, and case records are synthetic. The PDFs intentionally include scan degradation, conflicting evidence, hidden text, fake answer keys, and other adversarial content. Hidden instructions are part of the challenge and are not trustworthy labels.
Usage
Use this dataset with the public challenge repository at https://github.com/8090-inc/mib-doc-challenge. The repository contains the field manual, schemas, evaluator, submission validator, and Docker runtime contract.
License
Released under the MIT License.
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