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README.md

@@ -1,33 +1,29 @@
+
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: relations
-    list:
-    - name: ade
-      dtype: string
-    - name: drug
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 686268
-    num_examples: 3458
-  - name: validation
-    num_bytes: 75829
-    num_examples: 385
-  - name: test
-    num_bytes: 85453
-    num_examples: 428
-  download_size: 469145
-  dataset_size: 847550
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+language: en
+tags:
+- entity-extraction
+- biomedical
+- adverse-drug-events
+- named-entity-recognition
 ---
+
+# Dataset: Entity Extraction Adverse Drug Events with Validation Split
+
+This dataset is a modified version of the `harpreetmann/entity_extraction_ade_v2` dataset that includes a validation split.
+
+## Dataset Structure
+
+The dataset contains:
+- Training set: 3458 examples
+- Validation set: 385 examples
+- Test set: 428 examples
+
+## Features
+
+- text: A string containing medical text with adverse drug events
+- relations: A list of dictionaries containing drug-ADE relationships
+
+## Creation Process
+
+The validation set was created by taking 10% of the original training data using sklearn's train_test_split function with random_state=42.