| --- |
| language: |
| - en |
| license: mit |
| pretty_name: Clinical Etiological Basin Identification v0.1 |
| dataset_name: clinical-etiological-basin-identification-v0.1 |
| tags: |
| - clarusc64 |
| - clinical |
| - long-covid |
| - me-cfs |
| - autoimmune |
| - basin-map |
| - topology |
| task_categories: |
| - text-classification |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.csv |
| - split: test |
| path: data/test.csv |
| --- |
| |
| What this dataset tests |
|
|
| Whether a model can identify the stable illness basin |
| from multi-system features, independent of trigger. |
|
|
| Required outputs |
|
|
| - basin_id |
| - basin_stability_score_0_100 |
| - defining_state_features_top5 |
|
|
| Basin labels |
|
|
| - basin_A_inflammatory_autonomic |
| - basin_B_mito_metabolic_fatigue |
| - basin_C_neuroimmune_cognitive |
| - basin_D_mast_cell_histamine_like |
| - basin_E_autoimmune_multisystem |
|
|
| Typical failures |
|
|
| - using precipitating event as the primary classifier |
| - listing symptoms without identifying the basin state |
| - failing to name the top defining features |
|
|
| Suggested prompt wrapper |
|
|
| System |
|
|
| You assign an illness basin from multi-system features. |
|
|
| User |
|
|
| Immune |
| {immune_features} |
| |
| Metabolic |
| {metabolic_features} |
|
|
| Autonomic |
| {autonomic_features} |
| |
| Neurocognitive |
| {neurocognitive_features} |
|
|
| Dynamics |
| {symptom_dynamics} |
| |
| Return |
| |
| - basin id |
| - stability score |
| - top 5 defining features |
| - one sentence evidence |
| |
| Citation |
| |
| ClarusC64 dataset family |
| |
