Update README with dataset statistics

README.md

@@ -133,3 +133,112 @@ The model demonstrates promising performance for Tibetan speech recognition, par
 
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 *Report generated on July 14, 2025*
+
+
+---
+
+# Dataset Statistics
+
+## Configuration: `default`
+
+### Split: `train`
+
+**Total Rows**: 893
+
+#### `audio_duration`
+
+- **Type**: numerical
+- **Data Type**: `float64`
+- **Sum**: 3,870.19
+- **Average**: 4.33
+
+#### `strata`
+
+- **Type**: categorical
+- **Data Type**: `object`
+- **Unique Values**: 8
+
+**Value Distribution:**
+
+| Value | Count | Percentage |
+|-------|-------|------------|
+| `70-80__medium__Prayer` | 125 | 14.00% |
+| `70-80__short__Teaching` | 123 | 13.77% |
+| `70-80__long__Teaching` | 123 | 13.77% |
+| `70-80__long__Prayer` | 121 | 13.55% |
+| `70-80__medium__Teaching` | 118 | 13.21% |
+| `70-80__long__Q&A` | 108 | 12.09% |
+| `80-90__long__Practice` | 108 | 12.09% |
+| `70-80__medium__Q&A` | 67 | 7.50% |
+
+#### `age_group`
+
+- **Type**: categorical
+- **Data Type**: `object`
+- **Unique Values**: 2
+
+**Value Distribution:**
+
+| Value | Count | Percentage |
+|-------|-------|------------|
+| `70-80` | 785 | 87.91% |
+| `80-90` | 108 | 12.09% |
+
+#### `duration_category`
+
+- **Type**: categorical
+- **Data Type**: `object`
+- **Unique Values**: 3
+
+**Value Distribution:**
+
+| Value | Count | Percentage |
+|-------|-------|------------|
+| `long` | 460 | 51.51% |
+| `medium` | 310 | 34.71% |
+| `short` | 123 | 13.77% |
+
+#### `content_type`
+
+- **Type**: categorical
+- **Data Type**: `object`
+- **Unique Values**: 4
+
+**Value Distribution:**
+
+| Value | Count | Percentage |
+|-------|-------|------------|
+| `Teaching` | 364 | 40.76% |
+| `Prayer` | 246 | 27.55% |
+| `Q&A` | 175 | 19.60% |
+| `Practice` | 108 | 12.09% |
+
+#### `base_cer`
+
+- **Type**: numerical
+- **Data Type**: `float64`
+- **Sum**: 247.09
+- **Average**: 0.28
+
+#### `cer_5000`
+
+- **Type**: numerical
+- **Data Type**: `float64`
+- **Sum**: 244.76
+- **Average**: 0.27
+
+#### `cer_10000`
+
+- **Type**: numerical
+- **Data Type**: `float64`
+- **Sum**: 208.71
+- **Average**: 0.23
+
+#### `cer_19000`
+
+- **Type**: numerical
+- **Data Type**: `float64`
+- **Sum**: 204.79
+- **Average**: 0.23
+
+---