Add dataset card

README.md

@@ -1,21 +1,55 @@
 ---
-dataset_info:
-  features:
-  - name: messages
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 646185
-    num_examples: 400
-  download_size: 32442
-  dataset_size: 646185
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- es
+license: mit
+task_categories:
+- text-generation
+- conversational
+tags:
+- medical
+- healthcare
+- nursing-home
+- fine-tuning
+- sft
+size_categories:
+- n<1K
 ---
+
+# ResiPlus Vector Dataset
+
+Semantic search optimization dataset for medical documents. Expands queries with medical synonyms and generates Qdrant filters for document retrieval.
+
+## Dataset Details
+
+- **Examples:** 400
+- **Language:** Spanish (es)
+- **Format:** Chat messages (system, user, assistant)
+- **Use Case:** Fine-tuning LLMs for nursing home management system
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Alejandro284/resiplus-vector-dataset")
+```
+
+## Training with HF Skills
+
+```
+Fine-tune Qwen/Qwen2.5-0.5B on Alejandro284/resiplus-vector-dataset
+for medical intent classification. Use SFT method. 5 epochs.
+```
+
+## Part of ResiPlus AI
+
+This dataset is part of the ResiPlus AI agentic system for nursing home management:
+
+1. **Router Agent** - Intent classification
+2. **SQL Agent** - Database query generation
+3. **Vector Agent** - Semantic search optimization
+4. **Synthesis Agent** - Response generation
+
+## License
+
+MIT License