The dataset viewer is not available for this split.
Error code: FeaturesError Exception: ArrowInvalid Message: Schema at index 1 was different: title: string description: string scope: string category: string version: string open_syndrome_version: string published_in: string published_at: timestamp[s] published_by: list<item: string> location: string language: string organization: string authors: list<item: string> inclusion_criteria: list<item: struct<type: string, logical_operator: string, values: list<item: struct<type: string, name: string, values: list<item: struct<type: string, name: string, description: string, attribute: string, operator: string, value: int64, unit: string>>, description: string>>>> references: list<item: struct<url: string>> status: string human_readable_definition: string target_public_health_threats: list<item: string> keywords: list<item: string> definition_type: string vs title: string description: string scope: string category: string version: string open_syndrome_version: string published_in: string published_at: timestamp[s] published_by: list<item: string> location: string language: string organization: string authors: list<item: string> inclusion_criteria: list<item: struct<type: string, logical_operator: string, values: list<item: struct<type: string, name: string, description: string>>, code: struct<system: string, code: string>>> references: list<item: struct<title: string, url: string>> notes: list<item: string> status: string human_readable_definition: string target_public_health_threats: list<item: string> keywords: list<item: string> definition_type: string Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head return next(iter(self.iter(batch_size=n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow yield new_key, pa.Table.from_batches(chunks_buffer) File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Schema at index 1 was different: title: string description: string scope: string category: string version: string open_syndrome_version: string published_in: string published_at: timestamp[s] published_by: list<item: string> location: string language: string organization: string authors: list<item: string> inclusion_criteria: list<item: struct<type: string, logical_operator: string, values: list<item: struct<type: string, name: string, values: list<item: struct<type: string, name: string, description: string, attribute: string, operator: string, value: int64, unit: string>>, description: string>>>> references: list<item: struct<url: string>> status: string human_readable_definition: string target_public_health_threats: list<item: string> keywords: list<item: string> definition_type: string vs title: string description: string scope: string category: string version: string open_syndrome_version: string published_in: string published_at: timestamp[s] published_by: list<item: string> location: string language: string organization: string authors: list<item: string> inclusion_criteria: list<item: struct<type: string, logical_operator: string, values: list<item: struct<type: string, name: string, description: string>>, code: struct<system: string, code: string>>> references: list<item: struct<title: string, url: string>> notes: list<item: string> status: string human_readable_definition: string target_public_health_threats: list<item: string> keywords: list<item: string> definition_type: string
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Open Syndrome Dataset
The first dataset of case definitions in both human- and machine-readable formats.
It comprises 40 case definitions from various public health threats, countries, and health organizations.
Read more about the Open Syndrome Definition (machine-readable format) here.
How is the dataset organised?
The file names follow the pattern <public-health-threat>_<provenance-or-organization>
.
In the human-readable folder, in the PDF folder, you will find the original PDFs collected during the initial phase. These PDFs may contain multiple case definitions, depending on the organization. The TXT folder contains the text used for the case definition in question.
In the machine-readable folder, you will find the case definition in the Open Syndrome Definition format in the JSON folder.
.
├── human_readable
│ ├── pdf
└── ├──txt
└── machine_readable
└── json
Citing & Authors
If you find this repository helpful, feel free to cite our publication: The Open Syndrome Definition
@misc{ferreira2025opensyndromedefinition,
title={The Open Syndrome Definition},
author={Ana Paula Gomes Ferreira and Aleksandar Anžel and Izabel Oliva Marcilio de Souza and Helen Hughes and Alex J Elliot and Jude Dzevela Kong and Madlen Schranz and Alexander Ullrich and Georges Hattab},
year={2025},
eprint={2509.25434},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2509.25434},
}
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