Update README.md

README.md

@@ -260,35 +260,21 @@ One dataset instance corresponds to **one report**.
 
 ### Hugging Face dataset 
 
-To facilitate machine learning workflows and easy filtering, the Hugging Face representation is organized into three distinct configurations. This allows for efficient filtering and relational access without parsing the original nested JSON:
-
-    - document_metadata: For accessing full texts and global identifiers.
-
-    - spans: For extracting specific annotations and entities.
-
-    - relations: For analyzing links and dependencies between spans (if they exist).
-
-You can easily load and explore these different parts using the datasets library,  as shown in the following example:
-
+This snippet shows how to extract and iterate over medical report information per patient using the datasets library.
 
 ```python
+import pandas as pd
 from datasets import load_dataset
 
-# Load document metadata and access the first report
-ds_meta = load_dataset("HealthDataHub/PARHAF-biomarkers-annotated", name="document_metadata")
-first_doc = ds_meta["train"][0]
-print(f"Report ID: {first_doc['report']}")
-
-# Load annotations and iterate through the first samples
-ds_spans = load_dataset("HealthDataHub/PARHAF-biomarkers-annotated", name="spans")
-for span in ds_spans["train"].select(range(5)):
-    print(f"Type: {span['span_type']} | Text: {span['span_text']}")
-
-# Load and display a relation between entities (if they exist)
-ds_rel = load_dataset("HealthDataHub/PARHAF-biomarkers-annotated", name="relations")
-if len(ds_rel["train"]) > 0:
-    rel = ds_rel["train"][0]
-    print(f"Relation: {rel['source_text']} -> {rel['target_text']}")
+dfs = {cfg: load_dataset("HealthDataHub/PARHAF-biomarkers-annotated", cfg, split="train").to_pandas()
+       for cfg in ["document_metadata", "spans", "relations"]}
+
+for patient_raw in dfs["document_metadata"].itertuples():
+    report_id = patient_raw.report
+    text = patient_raw.full_text
+    report_spans = dfs["spans"][dfs["spans"]["report"] == report_id]
+    report_relations = dfs["relations"][dfs["relations"]["report"] == report_id]
+    ...  
 ```
 ### Data Fields