# Technical Document Analysis: MIND - Short-to-Long - Qwen-2.5 3B
## 1. Image Description
The image is a **heatmap** visualizing accuracy percentages for different configurations of the Qwen-2.5 3B model. The chart uses a **red-to-white color gradient** to represent accuracy, with darker red indicating higher accuracy (100%) and lighter red/white indicating lower accuracy (0%).
---
## 2. Axis Labels and Markers
- **X-axis (Horizontal):**
Labeled **"Length"**, with integer values ranging from **5 to 19** (inclusive).
Spatial grounding: Values are evenly spaced along the bottom edge.
- **Y-axis (Vertical):**
Labeled **"Type"**, with integer values ranging from **1 to 7** (inclusive).
Spatial grounding: Values are stacked vertically on the left edge.
- **Legend:**
Located on the **right side** of the chart.
Title: **"Accuracy (%)"**
Color scale:
- **Dark red** = 100% accuracy
- **Light red/white** = 0% accuracy
---
## 3. Data Categories
- **X-axis Categories (Length):**
`[5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]`
- **Y-axis Categories (Type):**
`[1, 2, 3, 4, 5, 6, 7]`
---
## 4. Data Table Reconstruction
The heatmap contains **7 rows (Types)** and **15 columns (Lengths)**. Below is the extracted data:
| Type \ Length | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 |
|---------------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|
| 1 | 87.7 | 82.3 | 72.3 | 76.0 | 70.0 | - | - | - | - | - | - | - | - | - | - |
| 2 | - | 96.3 | 96.0 | 93.3 | 92.7 | 88.7 | - | - | - | - | - | - | - | - | - |
| 3 | - | - | - | - | - | - | - | - | - | - | 88.0 | 88.7 | 83.3 | 81.3 | 79.0 |
| 4 | - | - | - | - | 84.0 | 77.3 | 79.0 | 68.0 | 57.7 | - | - | - | - | - | - |
| 5 | - | - | - | - | - | - | - | - | - | 97.7 | 98.7 | 97.7 | 94.7 | 93.3 | - |
| 6 | - | - | - | - | - | - | - | - | 97.7 | 97.7 | 96.0 | 94.7 | 93.7 | - | - |
| 7 | - | - | - | - | 97.0 | 91.7 | 91.3 | 92.3 | 90.7 | - | - | - | - | - | - |
**Notes:**
- Missing values (`-`) indicate no data for specific Type-Length combinations.
- Highest accuracy: **Type 5 at Length 16 (98.7%)**.
- Lowest accuracy: **Type 4 at Length 11 (57.7%)**.
---
## 5. Key Trends and Observations
1. **General Trend:**
- Accuracy **increases with Length** for most Types (e.g., Type 5, 6, 7).
- Exceptions: Type 1 shows a **decline** after Length 8 (76.0 → 70.0).
2. **Type-Specific Patterns:**
- **Type 5:** Consistently high accuracy (97.7–98.7%) at Lengths 15–16.
- **Type 6:** Peaks at Length 15 (97.7%) and declines slightly at Length 16 (96.0%).
- **Type 7:** High accuracy (97.0–91.3%) at Lengths 9–12, then drops at Length 13 (90.7%).
3. **Color Correlation:**
- Darker red cells (e.g., Type 5, Length 16) align with the legend’s 100% accuracy.
- Lighter cells (e.g., Type 4, Length 11) match the 0% end of the scale.
---
## 6. Spatial Grounding Verification
- **Legend Position:** Right side of the chart (confirmed).
- **Data Point Accuracy:**
- Example: Type 5, Length 16 = 98.7% (dark red, matches legend).
- Example: Type 4, Length 11 = 57.7% (light red, matches legend).
---
## 7. Component Isolation
- **Header:** Title **"MIND - Short-to-Long - Qwen-2.5 3B"** (top center).
- **Main Chart:** Heatmap with labeled axes and color-coded cells.
- **Footer:** No additional text or components.
---
## 8. Conclusion
The heatmap demonstrates that **longer input lengths (15–19)** and **specific Types (5, 6, 7)** yield the highest accuracy for the Qwen-2.5 3B model. Type 4 underperforms across all lengths, while Type 5 achieves near-perfect accuracy at optimal lengths.
