# Technical Analysis of MIND - Short-to-Long - Qwen-2.5 1.5B Heatmap ## 1. Title & Main Components - **Title**: "MIND - Short-to-Long - Qwen-2.5 1.5B" - **Primary Visualization**: Heatmap - **Color Scale**: - **Range**: 0% (white) to 100% (dark red) - **Legend**: Right-aligned vertical color bar labeled "Accuracy (%)" ## 2. Axes & Labels ### X-Axis (Horizontal) - **Label**: "Length" - **Values**: 5 to 19 (integer increments) - **Placement**: Bottom of heatmap ### Y-Axis (Vertical) - **Label**: "Type" - **Values**: 1 to 7 (integer increments) - **Placement**: Left of heatmap ## 3. Data Table Structure | Type \ Length | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | |---------------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------| | 1 | 76.7% | 64.0% | 61.0% | 60.3% | 49.0% | - | - | - | - | - | - | - | - | - | - | | 2 | - | 91.3% | 84.3% | 81.7% | 77.0% | 78.7% | - | - | - | - | - | - | - | - | - | | 3 | - | - | - | - | - | - | - | - | - | - | 77.3% | 74.7% | 66.3% | 70.7% | 62.0% | | 4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | | 5 | - | - | - | - | - | - | - | - | - | - | - | 96.3% | 97.3% | 89.3% | 88.7% | 85.7% | | 6 | - | - | - | - | - | - | - | - | - | - | - | 97.0% | 93.3% | 90.7% | 95.0% | 89.7% | | 7 | - | - | - | - | - | - | - | - | 88.0% | 78.0% | 77.0% | 74.3% | 70.3% | - | - | ## 4. Key Trends & Observations ### Type-Specific Patterns 1. **Type 1**: - Peaks at Length 5 (76.7%) - Sharp decline to 49.0% at Length 9 - No data beyond Length 9 2. **Type 2**: - Highest accuracy at Length 6 (91.3%) - Gradual decline to 78.7% at Length 10 - No data beyond Length 10 3. **Type 3**: - Starts at Length 14 (77.3%) - Decreases to 62.0% at Length 19 - Consistent downward trend 4. **Type 4**: - Limited data (Lengths 7-11) - Peaks at Length 8 (65.0%) - Declines to 47.0% at Length 11 5. **Type 5**: - High accuracy across Lengths 15-19 - Peaks at Length 16 (97.3%) - Slight decline to 85.7% at Length 19 6. **Type 6**: - High accuracy at Lengths 14-18 - Peaks at Length 14 (97.0%) - Decreases to 89.7% at Length 18 7. **Type 7**: - Starts at Length 9 (88.0%) - Gradual decline to 70.3% at Length 13 - No data beyond Length 13 ### General Observations - **Accuracy Distribution**: - Highest values cluster in middle ranges (Types 2, 5, 6) - Lower accuracy in early (Type 1, 4) and late (Type 3, 7) types - **Length Correlation**: - No clear linear trend; performance varies non-monotonically - Optimal lengths differ by type (e.g., Type 2 peaks at Length 6, Type 5 at Length 16) ## 5. Spatial Grounding & Color Verification - **Legend Position**: Right side of heatmap (outside plot area) - **Color Consistency**: - All values match legend scale (e.g., 76.7% = medium red, 97.3% = dark red) - No mismatches between cell color and legend ## 6. Component Isolation ### Header - Title and color legend ### Main Chart - 7x15 grid of accuracy percentages - Color intensity encodes accuracy ### Footer - No additional components ## 7. Data Extraction Methodology 1. **Row-by-Row Extraction**: - Processed each Type (1-7) sequentially - Recorded all non-empty cells 2. **Column Validation**: - Confirmed Length values 5-19 coverage 3. **Trend Cross-Reference**: - Verified numerical data against visual color gradients ## 8. Missing Data - Dashes (`-`) indicate no recorded data for specific Type-Length combinations - Example: Type 1 has no data beyond Length 9 ## 9. Technical Notes - **Software**: Likely generated using Python (seaborn/matplotlib) or R (ggplot2) - **Precision**: All values reported to one decimal place - **Scale**: Linear color mapping (no log/non-linear transformations) ## 10. English Translation of Non-English Text - No non-English text present in the image