Update README.md

README.md

@@ -350,41 +350,6 @@ Tokenize further with `transformers` 🤗 or `NeuroNER` for model training.
 
 Visualize the NER tag distribution to understand entity prevalence. Since exact counts are unavailable, the chart below uses estimated data for demonstration. Replace with actual counts after analysis.
 
-<chartjs>
-{
-  "type": "bar",
-  "data": {
-    "labels": ["O", "B-DATE", "I-DATE", "B-CARDINAL", "B-GPE", "B-ORG", "B-MONEY", "B-PERSON"],
-    "datasets": [{
-      "label": "NER Tag Counts (Estimated)",
-      "data": [100000, 15000, 12000, 10000, 8000, 7000, 5000, 4000],
-      "backgroundColor": ["#36A2EB", "#FF6384", "#FFCE56", "#4BC0C0", "#9966FF", "#FF9F40", "#66BB6A", "#EF5350"],
-      "borderColor": ["#2A8BBF", "#D9546E", "#D9A83E", "#3A9A9A", "#7A52CC", "#D97F30", "#4CAF50", "#C62828"],
-      "borderWidth": 1
-    }]
-  },
-  "options": {
-    "plugins": {
-      "title": {
-        "display": true,
-        "text": "CoNLL 2025 NER: Tag Distribution (Estimated)",
-        "font": { "size": 16 }
-      }
-    },
-    "scales": {
-      "y": {
-        "beginAtZero": true,
-        "title": { "display": true, "text": "Count" }
-      },
-      "x": {
-        "title": { "display": true, "text": "NER Tag" },
-        "ticks": { "autoSkip": false, "maxRotation": 45, "minRotation": 45 }
-      }
-    }
-  }
-}
-</chartjs>
-
 To compute actual counts:
 
 ```python