Update README.md

README.md

@@ -1,3 +1,180 @@
----
-license: mit
----
+---
+license: mit
+---
+
+# INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information
+
+[![Website](https://img.shields.io/badge/Website-InterChart.github.io-blue)](https://interchart.github.io/)
+[![Paper](https://img.shields.io/badge/arXiv-2508.07630v1-b31b1b)](https://arxiv.org/abs/2508.07630v1)
+[![License](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-green)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+
+---
+
+## 🧩 Overview
+
+**INTERCHART** is a multi-tier benchmark that evaluates how well **vision-language models (VLMs)** reason across **multiple related charts**, a crucial skill for real-world applications like scientific reports, financial analyses, and policy dashboards.  
+Unlike single-chart benchmarks, INTERCHART challenges models to integrate information across **decomposed**, **synthetic**, and **real-world** chart contexts.
+
+> **Paper:** [INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information](https://arxiv.org/abs/2508.07630v1)
+
+---
+
+## 📂 Dataset Structure
+
+```
+
+INTERCHART/
+├── DECAF
+│   ├── combined       # Multi-chart combined images (stitched)
+│   ├── original       # Original compound charts
+│   ├── questions      # QA pairs for decomposed single-variable charts
+│   └── simple         # Simplified decomposed charts
+├── SPECTRA
+│   ├── combined       # Synthetic chart pairs (shared axes)
+│   ├── questions      # QA pairs for correlated and independent reasoning
+│   └── simple         # Individual charts rendered from synthetic tables
+├── STORM
+│   ├── combined       # Real-world chart pairs (stitched)
+│   ├── images         # Original Our World in Data charts
+│   ├── meta-data      # Extracted metadata and semantic pairings
+│   ├── questions      # QA pairs for temporal, cross-domain reasoning
+│   └── tables         # Structured table representations (optional)
+
+````
+
+Each subset targets a different **level of reasoning complexity** and visual diversity.
+
+---
+
+## 🧠 Subset Descriptions
+
+### **1️⃣ DECAF** — *Decomposed Elementary Charts with Answerable Facts*
+- Focus: **Factual lookup** and **comparative reasoning** on simplified single-variable charts.  
+- Sources: Derived from ChartQA, ChartLlama, ChartInfo, DVQA.  
+- Content: 1,188 decomposed charts and 2,809 QA pairs.  
+- Tasks: Identify, compare, or extract values across clean, minimal visuals.
+
+---
+
+### **2️⃣ SPECTRA** — *Synthetic Plots for Event-based Correlated Trend Reasoning and Analysis*
+- Focus: **Trend correlation** and **scenario-based inference** between synthetic chart pairs.  
+- Construction: Generated via Gemini 1.5 Pro + human validation to preserve shared axes and realism.  
+- Content: 870 unique charts, 1,717 QA pairs across 333 contexts.  
+- Tasks: Analyze multi-variable relationships, infer trends, and reason about co-evolving variables.
+
+---
+
+### **3️⃣ STORM** — *Sequential Temporal Reasoning Over Real-world Multi-domain Charts*
+- Focus: **Multi-step reasoning**, **temporal analysis**, and **semantic alignment** across real-world charts.  
+- Source: Curated from *Our World in Data* with metadata-driven semantic pairing.  
+- Content: 648 charts across 324 validated contexts, 768 QA pairs.  
+- Tasks: Align mismatched domains, estimate ranges, and reason about evolving trends.
+
+---
+
+## ⚙️ Evaluation & Methodology
+
+INTERCHART supports both **visual** and **table-based** evaluation modes.
+
+- **Visual Inputs:**  
+  - *Combined:* Charts stitched into a unified image.  
+  - *Interleaved:* Charts provided sequentially.  
+
+- **Structured Table Inputs:**  
+  Models can extract tables using tools like **DePlot** or **Gemini Title Extraction**, followed by **table-based QA**.
+
+- **Prompting Strategies:**  
+  - Zero-Shot  
+  - Zero-Shot Chain-of-Thought (CoT)  
+  - Few-Shot CoT with Directives (CoTD)
+
+- **Evaluation Pipeline:**  
+  Multi-LLM *semantic judging* (Gemini 1.5 Flash, Phi-4, Qwen2.5) with **majority voting** to evaluate semantic correctness.
+
+---
+
+## 📊 Dataset Statistics
+
+| Subset  | Charts | Contexts | QA Pairs | Reasoning Type Examples |
+|----------|---------|-----------|-----------|--------------------------|
+| **DECAF** | 1,188 | 355 | 2,809 | Factual lookup, comparison |
+| **SPECTRA** | 870 | 333 | 1,717 | Trend correlation, event reasoning |
+| **STORM** | 648 | 324 | 768 | Temporal reasoning, abstract numerical inference |
+| **Total** | 2,706 | 1,012 | **5,214** | — |
+
+---
+
+## 🚀 Usage
+
+### Load from Hugging Face
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("interchart/interchart", name="DECAF")
+print(dataset["train"][0])
+````
+
+Available subsets:
+
+* `"DECAF"`
+* `"SPECTRA"`
+* `"STORM"`
+
+Each entry contains:
+
+```json
+{
+  "id": "DECAF_00123",
+  "image_path": "DECAF/simple/chart_123.png",
+  "question": "What is the highest bar value for 2020?",
+  "answer": "45.6",
+  "question_type": "comparison",
+  "subset": "DECAF"
+}
+```
+
+---
+
+## 🔍 Citation
+
+If you use this dataset, please cite:
+
+```
+@article{iyengar2025interchart,
+  title={INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information},
+  author={Anirudh Iyengar Kaniyar Narayana Iyengar and Srija Mukhopadhyay and Adnan Qidwai and Shubhankar Singh and Dan Roth and Vivek Gupta},
+  journal={arXiv preprint arXiv:2508.07630},
+  year={2025}
+}
+```
+
+---
+
+## 🔗 Links
+
+* 📘 **Paper:** [arXiv:2508.07630v1](https://arxiv.org/abs/2508.07630v1)
+* 🌐 **Website:** [https://interchart.github.io](https://interchart.github.io)
+* 🧠 **Demo (coming soon):** [Interactive Evaluation Portal](https://interchart.github.io/explore.html)
+
+---
+
+## 📜 License
+
+**Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)**
+You are free to share and adapt the dataset for non-commercial use with attribution.
+
+---
+
+## 💬 Contact
+
+For questions or collaborations:
+
+**Authors:**
+Anirudh Iyengar Kaniyar Narayana Iyengar — [akaniyar@asu.edu](mailto:akaniyar@asu.edu)
+Srija Mukhopadhyay — [srija.mukhopadhyay@research.iiit.ac.in](mailto:srija.mukhopadhyay@research.iiit.ac.in)
+Vivek Gupta — [vgupt140@asu.edu](mailto:vgupt140@asu.edu)
+
+---
+
+