Update README.md

README.md

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 The benchmark is released in both English and Chinese versions. 
 
 
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+## 📑 Task Types
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+We categorize chemical reaction visual question answering tasks into six types:
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+- **Type 0 — Fact Extraction**: Direct retrieval of textual or numerical information from reaction schemes.
+- **Type 1 — Reagent Roles and Functions Identification**: Identification of reagents and their functional roles, requiring chemical knowledge and reaction-type awareness.
+- **Type 2 — Reaction Mechanism and Process Understanding**: Interpretation of reaction progression, including intermediates, catalytic cycles, and mechanistic steps.
+- **Type 3 — Comparative Analysis and Reasoning**: Comparative evaluation, causal explanation, or outcome prediction under varying conditions.
+- **Type 4 — Multi-step Synthesis and Global Understanding**: Comprehension of multi-step pathways, step-to-step coherence, and overall synthetic design.
+- **Type 5 — Chemical Structure Recognition**: Extraction and reasoning-based parsing of chemical structures in SMILES or E-SMILES (as defined in the [MolParser](https://arxiv.org/abs/2411.11098) paper).
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 ## 🎯 Benchmark Evaluation
 
 This benchmark evaluates model performance on multiple-choice question answering (MCQ) tasks.