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README.md

@@ -18,14 +18,17 @@ tags:
 pretty_name: SynSEPA — Synthetic SEPA Instant Payment Fraud Dataset
 
 configs:
-- config_name: default
+- config_name: transactions
   data_files:
-  - split: transactions
+  - split: train
     path: data/synsep_full_dataset.csv
-  - split: accounts
+- config_name: accounts
+  data_files:
+  - split: train
     path: data/accounts.csv
 
 dataset_info:
+- config_name: transactions
   description: >
     SynSEPA is a synthetic SEPA Instant Credit Transfer dataset containing 1.84M
     transactions across 10,000 accounts, with 4 APP fraud typologies injected
@@ -68,9 +71,41 @@ dataset_info:
   - name: fraud_type
     dtype: string
   splits:
-  - name: transactions
+  - name: train
     num_examples: 1839560
-  - name: accounts
+- config_name: accounts
+  description: >
+    Per-account metadata for the 10,000 synthetic SynSEPA accounts — persona,
+    home country, behavioural parameters, and known-beneficiary lists.
+  features:
+  - name: account_id
+    dtype: string
+  - name: persona
+    dtype: string
+  - name: description
+    dtype: string
+  - name: home_country
+    dtype: string
+  - name: sender_iban
+    dtype: string
+  - name: txn_per_month_min
+    dtype: int64
+  - name: txn_per_month_max
+    dtype: int64
+  - name: typical_amount
+    dtype: float64
+  - name: foreign_txn_prob
+    dtype: float64
+  - name: weekend_factor
+    dtype: float64
+  - name: fraud_target_types
+    dtype: string
+  - name: known_beneficiaries
+    dtype: string
+  - name: known_beneficiary_count
+    dtype: int64
+  splits:
+  - name: train
     num_examples: 10000
 ---