# Technical Document Extraction: Heatmap Analysis ## 1. Labels and Axis Titles - **Y-Axis (Vertical):** - Label: `Context length` - Range: `0` to `1000` - Increment: `5` - Values: `0, 5, 10, ..., 1000` - **X-Axis (Horizontal):** - Label: `Token limit` - Range: `1000` to `32000` - Increment: `1000` - Values: `1000, 2000, ..., 32000` - **Legend (Right Side):** - Title: `Score` - Color Gradient: - `Green` (top) → `Yellow` → `Red` (bottom) - Numerical Range: `10` (green) → `0` (red) --- ## 2. Data Categories and Sub-Categories - **Context Length Categories (Y-Axis):** - `0–5`, `5–10`, `10–15`, ..., `95–100`, `100` - **Token Limit Categories (X-Axis):** - `1000`, `2000`, `3000`, ..., `32000` - **Score Categories (Legend):** - `0` (red) → `10` (green) --- ## 3. Embedded Text and Diagram Components - **No additional text blocks** are present in the diagram. - **Heatmap Structure:** - Grid of colored squares representing score distributions. - Color intensity correlates with score (green = high, red = low). --- ## 4. Spatial Grounding and Color Verification - **Legend Placement:** - Located on the **right side**, vertically aligned. - Color-to-score mapping: - `Green` (top) = `10` - `Yellow` = `5–7` - `Red` (bottom) = `0` - **Data Point Verification:** - Example: A red square at `(x=1000, y=50)` corresponds to a score of `0` (matches legend). - Example: A yellow square at `(x=20000, y=95)` corresponds to a score of `7` (matches legend). --- ## 5. Trend Verification - **Vertical Red Block (Left Side):** - **Trend:** Consistently low scores (`0–2`) across all context lengths for token limits ≤ `5000`. - **Data Points:** - `(x=1000, y=0)` → `0` - `(x=2000, y=50)` → `0` - `(x=5000, y=100)` → `1` - **Horizontal Red Block (Bottom):** - **Trend:** Low scores (`0–3`) for context lengths ≥ `95` and token limits ≥ `20000`. - **Data Points:** - `(x=20000, y=95)` → `3` - `(x=30000, y=100)` → `0` - **Middle Region (Scattered Blocks):** - **Trend:** Variable scores (`2–8`), with higher scores concentrated in token limits `10000–25000` and context lengths `50–70`. - **Data Points:** - `(x=15000, y=60)` → `8` - `(x=25000, y=70)` → `5` - **Top-Right Region (Mixed Scores):** - **Trend:** Mixed scores (`4–9`), with higher scores (`8–9`) in token limits `25000–32000` and context lengths `80–100`. - **Data Points:** - `(x=28000, y=90)` → `9` - `(x=32000, y=100)` → `7` --- ## 6. Component Isolation - **Main Chart (Heatmap):** - Dominates the image, with color intensity indicating score distributions. - **Legend:** - Right-aligned, vertical, with a gradient from green (`10`) to red (`0`). --- ## 7. Key Observations 1. **Low Scores (Red):** - Dominant in regions with **low token limits** (≤ `5000`) and **high context lengths** (≥ `95`). 2. **High Scores (Green/Yellow):** - Concentrated in **mid-to-high token limits** (`10000–25000`) and **mid-range context lengths** (`50–70`). 3. **Variability:** - Scores fluctuate significantly in the **top-right quadrant** (`token limits ≥ 25000`, `context lengths ≥ 80`). --- ## 8. Conclusion The heatmap reveals that **score performance** is inversely related to **token limits** for low context lengths and directly related to **token limits** for mid-to-high context lengths. No textual data beyond axis labels and legend is present.