Document Splitting Benchmarks
Collection
Benchmarks for evaluating document splitting into logical sub-documents. • 1 item • Updated
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
A benchmark for evaluating document splitting (boundary detection and classification) on U.S. presidential tax returns.
| Metric | Value |
|---|---|
| PDF files | 30 |
| Total pages | 3,311 |
| Annotated sub-documents | 1,152 |
| Classification types used | 40 |
| Subjects | Biden, Harris, Obama, Trump |
| Tax years | 2009–2023 |
Given a multi-page PDF containing one or more IRS tax forms, schedules, and supplementary documents, the task is to:
| Type | Count |
|---|---|
| supplement | 573 |
| misc_form | 240 |
| Schedule C (Form 1040) | 41 |
| Form 4562 | 40 |
| Schedule K-1 (Form 1065) | 33 |
| Schedule E (Form 1040) | 14 |
| Form 1065 | 14 |
| Schedule M-3 (Form 1120/1065) | 14 |
| Form 8949 | 13 |
| Form 4797 | 13 |
annotations.jsonl — One JSON object per PDF with ground-truth sub-document boundariesmetadata.csv — File-level metadata (president, tax year, page count, etc.)taxonomy.json — Full classification schema with 40+ type definitions and splitting instructionspdfs/ — Original PDF files organized by subjectEach line in annotations.jsonl contains:
{
"file_name": "obama_2009_complete_return.pdf",
"page_count": 59,
"sub_documents": [
{
"type": "Form 1040",
"start_page": 1,
"end_page": 2,
"identifier": "Barack H. & Michelle L. Obama"
}
]
}
type: The IRS form or document type. See taxonomy.json for the full list with descriptions.start_page / end_page: 1-indexed, inclusive page range.identifier: A human-readable label distinguishing instances of the same form type (e.g., taxpayer name, entity name).All PDFs are publicly released U.S. government records sourced from:
The source documents are U.S. government works in the public domain. The annotations in this dataset are released under CC0 1.0.