Upload DPR dataset splits and data card

.gitattributes

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README.md

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+---
+license: unknown
+task_categories:
+- tabular-classification
+tags:
+- healthcare
+- tabular
+- readmission
+pretty_name: Diabetic 30-Day Readmission Dataset
+---
+
+# Dataset Card for DPR
+
+This dataset is derived from the diabetic readmission dataset and is formatted for binary prediction of 30-day hospital readmission.
+
+## Prediction Task
+
+The target label is `readmit_30d`.
+
+- `1`: patient was readmitted within 30 days (`readmitted == "<30"`)
+- `0`: patient was not readmitted within 30 days
+
+## Files
+
+- `train.csv`: training split
+- `validation.csv`: validation split
+- `test.csv`: test split
+- `cohort.csv`: patient/encounter identifiers and labels
+- `features.csv`: feature columns excluding the target label
+
+## Splits
+
+| Split | N | Positives | Positive Rate |
+|---|---:|---:|---:|
+| Train | 71236 | 7950 | 0.1116 |
+| Validation | 15265 | 1704 | 0.1116 |
+| Test | 15265 | 1703 | 0.1116 |
+
+## Preprocessing
+
+Missing values originally encoded as `?` were replaced with missing values. The binary label `readmit_30d` was created from the original `readmitted` column. The data were split into 70/15/15 train/validation/test partitions using stratification on `readmit_30d`.
+
+## Intended Use
+
+This dataset is intended for evaluating binary classification and uncertainty quantification methods for 30-day readmission prediction.
+
+## Limitations
+
+This dataset should not be used for clinical decision-making without further validation. Potential limitations include retrospective design, missingness, class imbalance, and dataset-specific biases.

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