Update README.md

README.md

@@ -35,6 +35,8 @@ tags:
 - developmental-delay
 - LLaVA
 - scientific-figures
+- Qwen3
+- Qwen2
 pretty_name: STXBP1 PubMed Central Multimodal Dataset
 size_categories:
 - 10K<n<100K
@@ -60,6 +62,7 @@ A comprehensive multimodal dataset for training vision-language models on biomed
 |--------|-------|
 | Total Training Examples | **497,360** |
 | Source Articles | 31,786 |
+| Date Range | 1-1-2000 thru 6-1-2025) | 
 | Total Figures | 171,084 |
 | Matched Figure-Image Pairs | 170,591 (99.7%) |
 | Total Images | 175,392 |
@@ -156,7 +159,7 @@ Critical for setting `max_new_tokens` during training/inference:
 # Training
 model_max_length = 4096  # or 8192 for safety
 
-# Inference - IMPORTANT: Don't set too low!
+# Inference - IMPORTANT: Don't set too low, may truncate responses!
 generation_config = {
     "max_new_tokens": 2048,  # Covers 99th percentile
     "min_new_tokens": 100,   # Prevents cutoffs
@@ -177,8 +180,8 @@ generation_config = {
 | Format | PNG/JPG |
 
 **Preprocessing recommendations:**
-- LLaVA: 448×448 or 672×672
-- Qwen2-VL: Dynamic resolution (native support)
+- LLaVA: 448×448, 512x512 or 672×672
+- Qwen3-VL: Dynamic resolution (native support)
 
 ---
 
@@ -226,10 +229,10 @@ training_args = TrainingArguments(
 model.config.max_length = 4096
 ```
 
-### Training with Qwen2-VL
+### Training with Qwen3-VL
 
 ```python
-# Qwen2-VL handles dynamic resolution natively
+# Qwen3-VL handles dynamic resolution natively
 # Just ensure max_new_tokens is set properly for inference
 generation_config = {
     "max_new_tokens": 2048,