Add repo card

README.md

@@ -1,4 +1,9 @@
 ---
+license: mit
+task_categories:
+- token-classification
+task_ids:
+- named-entity-recognition
 dataset_info:
   features:
   - name: tokens
@@ -22,3 +27,35 @@ configs:
   - split: val
     path: data/val-*
 ---
+
+---
+
+# Proposed Active Learning Data split
+## Overview
+This dataset release represents a proposed and experimental data split(processed in BIO format) designed specifically to support and validate planned active learning (AL) cycles for biomedical Named Entity Recognition (NER).
+
+The current version is not a final benchmark split. Instead, it serves as an initial, controlled setup for testing active learning strategies, model uncertainty sampling, 
+and iterative annotation workflows prior to large-scale development.
+
+Both splits (train and validation) have been carefully curated to ensure coverage of all three target entity types:
+
+- **CellLine**
+
+- **CellType**
+
+- **Tissue**
+
+For details on how the splits were created, please refer to raw data and documentation available [here](https://huggingface.co/datasets/OTAR3088/AL_Test_data)
+
+This BIO format has been generated using a Biomedical transformer-based tokenizer for consistency with downstream model training. 
+---
+
+## Intended Use
+
+### Primary Use
+- Supervised NER training for biomedical NLP tasks
+
+### Not Intended For
+- Clinical or patient-level decision making
+
+