Datasets:

syntech-ai
/

medical-triage-500

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
dataset_name: string
creator: string
size: int64
is_synthetic: bool
tags: list<item: string>
language: list<item: string>
task_categories: list<item: string>
license: string
vs
case_id: string
patient: struct<age: int64, gender: string>
presentation: struct<symptoms: list<item: string>, symptom_count: int64, duration: string, onset: string, context: string>
risk_assessment: struct<risk_level: string, red_flags: list<item: string>>
triage_classification: struct<urgency_category: string, urgency_reasoning: string>
safety_notice: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              dataset_name: string
              creator: string
              size: int64
              is_synthetic: bool
              tags: list<item: string>
              language: list<item: string>
              task_categories: list<item: string>
              license: string
              vs
              case_id: string
              patient: struct<age: int64, gender: string>
              presentation: struct<symptoms: list<item: string>, symptom_count: int64, duration: string, onset: string, context: string>
              risk_assessment: struct<risk_level: string, red_flags: list<item: string>>
              triage_classification: struct<urgency_category: string, urgency_reasoning: string>
              safety_notice: string

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Medical Synthetic Triage Dataset — 500 Cases

This dataset contains 500 high-quality synthetic medical triage entries, generated through a structured rule-based methodology. It is designed for:

AI / LLM prototyping

Healthcare AI experiments

Medical triage classification research

Educational and academic use

Risk assessment modeling

RAG and prompt evaluation

Non-diagnostic medical AI training

Dataset Features

100% synthetic (no real patient data)

CSV and JSONL formats

Includes symptoms, durations, risk scores, urgency levels

Includes red flags and contextual factors

Safe, ethical, controlled data generation

Fields Included

Age, gender

Symptoms

Symptom count

Duration & onset

Red flags

Triage risk level

Urgency classification

Safety notes

This dataset is intended for research and educational purposes only.

Creator

This dataset is created by Syntech AI (Founder: Sailesh Meena). We specialize in synthetic medical datasets, AI training data, and triage classification datasets for research and development.

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