Update README.md

README.md

@@ -25,7 +25,7 @@ configs:
 
 <h1 align="center">DocVQA 2026 | ICDAR2026 Competition on Multimodal Reasoning over Documents in Multiple Domains</h1>
 
- <p align="center">
+<p align="center">
   <a href="https://www.docvqa.org/challenges/2026">
     <img src="https://img.shields.io/badge/🌐_Website-DocVQA.org-orange.svg" alt="Competition Website">
   </a>
@@ -35,29 +35,64 @@ configs:
   <a href="https://github.com/VLR-CVC/DocVQA2026">
     <img src="https://img.shields.io/badge/GitHub-Eval_Code-black.svg?logo=github&logoColor=white" alt="GitHub Repository">
   </a>
+  <a href="https://rrc.cvc.uab.es/?ch=34">
+    <img src="https://img.shields.io/badge/RRC-Competition_Platform-green.svg" alt="RRC Competition Platform">
+  </a>
 </p>
 
 Building upon previous DocVQA benchmarks, this evaluation dataset introduces challenging reasoning questions over a diverse collection of documents spanning eight domains, including business reports, scientific papers, slides, posters, maps, comics, infographics, and engineering drawings.
 
 By expanding coverage to new document domains and introducing richer question types, this benchmark seeks to push the boundaries of multimodal reasoning and promote the development of more general, robust document understanding models.
 
-## 🏆 Competition Hosting & Test Set
+# Datasets
 
-The official DocVQA 2026 competition is hosted on the **Robust Reading Competition (RRC)** platform, which provides the standardized framework for our leaderboards, submissions, and result tracking. 
+This dataset card corresponds to the **DocVQA 2026** benchmark used in the **ICDAR 2026 competition on multimodal reasoning over documents in multiple domains**.
 
-> [!NOTE]
-> **Test Set Status:** *Coming Soon!*  By the time being, please use the provided validation set and the evaluation code.
+The benchmark includes:
 
+- **Validation set** — contains public answers and is intended for local development and experimentation.
+- **Test set** — contains private answers and is used for the official competition ranking.
 
-<p align="center">
-  <a href="https://rrc.cvc.uab.es/?ch=34" style="background-color: #007bff; color: white; padding: 12px 24px; text-decoration: none; border-radius: 6px; font-weight: bold; font-size: 18px; display: inline-block;">
-    Join the Challenge on the RRC Platform
-  </a>
-</p>
+The official competition is hosted on the **Robust Reading Competition (RRC)** platform: https://rrc.cvc.uab.es/?ch=34
+
+Participants interested in the leaderboard and official submissions should register and submit their predictions through the RRC server.
+
+### Validation Set
+
+The validation split includes public ground-truth answers and can be evaluated:
+
+- **Locally**, using the official evaluation code: https://github.com/VLR-CVC/DocVQA2026
+
+- **Online**, by submitting predictions to the RRC platform: https://rrc.cvc.uab.es/?ch=34&com=mymethods&task=1
+
+### Test Set
+
+The test split contains **private answers** and therefore can only be evaluated through the official RRC platform: https://rrc.cvc.uab.es/?ch=34&com=mymethods&task=1
+
+# Participation Requirements
+
+To participate in the competition:
+
+1. A method must be submitted on the **test set by April 3, 2026** on the RRC platform.
+2. A **one or two page report** must be submitted by email to **docvqa@cvc.uab.cat** by **April 17, 2026**.
+
+These reports will be included in the competition publication in the proceedings of the **International Conference on Document Analysis and Recognition (ICDAR)**, held in **Vienna, Austria**.
+
+# Competition Categories
 
+There are **three participation categories**, depending on the total number of parameters of the submitted method.
 
+This count must include, all parameters whether active or not, and all parameters across all models used in agentic systems
 
-## Load & Inspect the Data
+Categories:
+
+- **Up to 8B parameters**
+- **Over 8B parameters and up to 35B**
+- **Over 35B parameters**
+
+---
+
+# Load & Inspect the Data
 
 ```python
 from datasets import load_dataset
@@ -76,7 +111,7 @@ print(f"Document ID: {doc_id} ({category})")
 # 'document' is a list of PIL Images (one for each page)
 images = sample["document"]
 print(f"Number of pages: {len(images)}")
-images[0].show()  
+images[0].show()
 
 # 4. Access Questions and Answers
 questions = sample["questions"]
@@ -91,11 +126,12 @@ for q, q_id, a in zip(questions['question'], questions['question_id'], answers['
     print("-" * 50)
 ```
 
-## Structure of a Sample
+
+# Structure of a Sample
 
 <details>
 <summary><b>Click to expand the JSON structure</b></summary>
-  
+
 ```json
 {
   "doc_id": "maps_2",
@@ -137,11 +173,13 @@ for q, q_id, a in zip(questions['question'], questions['question_id'], answers['
     ]
   }
 }
+
 ```
 </details>
 
+---
 
-## Results
+# Results
 
 <p align="center">
   <img src="./assets/results_chart.jpg" alt="DocVQA 2026 Results Chart" width="80%">
@@ -149,138 +187,73 @@ for q, q_id, a in zip(questions['question'], questions['question_id'], answers['
   <em>Figure 1: Performance comparison across domains.</em>
 </p>
 
-
 <div align="center">
-  <table>
-    <thead>
-      <tr>
-        <th align="left">Category</th>
-        <th align="center">Gemini 3 Pro Preview</th>
-        <th align="center">GPT-5.2</th>
-        <th align="center">Gemini 3 Flash Preview</th>
-        <th align="center">GPT-5 Mini</th>
-      </tr>
-    </thead>
-    <tbody>
-      <tr>
-        <td align="left"><b>Overall Accuracy</b></td>
-        <td align="center"><b>0.375</b></td>
-        <td align="center">0.350</td>
-        <td align="center">0.3375</td>
-        <td align="center">0.225</td>
-      </tr>
-      <tr>
-        <td align="left">Business Report</td>
-        <td align="center">0.400</td>
-        <td align="center"><b>0.600</b></td>
-        <td align="center">0.200</td>
-        <td align="center">0.300</td>
-      </tr>
-      <tr>
-        <td align="left">Comics</td>
-        <td align="center">0.300</td>
-        <td align="center">0.200</td>
-        <td align="center"><b>0.400</b></td>
-        <td align="center">0.100</td>
-      </tr>
-      <tr>
-        <td align="left">Engineering Drawing</td>
-        <td align="center">0.300</td>
-        <td align="center">0.300</td>
-        <td align="center"><b>0.500</b></td>
-        <td align="center">0.200</td>
-      </tr>
-      <tr>
-        <td align="left">Infographics</td>
-        <td align="center"><b>0.700</b></td>
-        <td align="center">0.600</td>
-        <td align="center">0.500</td>
-        <td align="center">0.500</td>
-      </tr>
-      <tr>
-        <td align="left">Maps</td>
-        <td align="center">0.000</td>
-        <td align="center"><b>0.200</b></td>
-        <td align="center">0.000</td>
-        <td align="center">0.100</td>
-      </tr>
-      <tr>
-        <td align="left">Science Paper</td>
-        <td align="center">0.300</td>
-        <td align="center">0.400</td>
-        <td align="center"><b>0.500</b></td>
-        <td align="center">0.100</td>
-      </tr>
-      <tr>
-        <td align="left">Science Poster</td>
-        <td align="center"><b>0.300</b></td>
-        <td align="center">0.000</td>
-        <td align="center">0.200</td>
-        <td align="center">0.000</td>
-      </tr>
-      <tr>
-        <td align="left">Slide</td>
-        <td align="center"><b>0.700</b></td>
-        <td align="center">0.500</td>
-        <td align="center">0.400</td>
-        <td align="center">0.500</td>
-      </tr>
-    </tbody>
-  </table>
-</div>
 
-> [!NOTE]
-> **Evaluation Parameters:**
-> * **GPT Models:** "High thinking" enabled, temperature set to `1.0`.
-> * **Gemini Models:** "High thinking" enabled, temperature set to `0.0`.
-
-> [!WARNING]
-> **API Constraints:** > Both models were evaluated via their respective APIs. If a sample fails because the input files are too large, the result counts as a failure. For example, the file input limit for OpenAI models is 50MB, and several comics in this dataset surpass that threshold.
-
-
---------
-
-<div style="border: 1px solid black; background-color: white; color: black; padding: 20px; border-radius: 8px;">
-  <h2 style="margin-top: 0; color: black;">📝 Submission Guidelines & Formatting Rules</h2>
-  <p>To ensure fair and accurate evaluation across all participants, submissions are evaluated using automated metrics. Therefore, all model outputs must strictly adhere to the following formatting rules:</p>
-  <ul>
-    <li><strong style="color: black;">Source Adherence:</strong> Only provide answers found directly within the document. If the question is unanswerable given the provided image, the response must be exactly: <code>"Unknown"</code>.</li>
-    <li><strong style="color: black;">Multiple Answers:</strong> List multiple answers in their order of appearance, separated by a comma and a single space. <strong style="color: black;">Do not</strong> use the word "and". <em>(Example: <code>Answer A, Answer B</code>)</em></li>
-    <li><strong style="color: black;">Numbers & Units:</strong> Convert units to their standardized abbreviations (e.g., use <code>kg</code> instead of "kilograms", <code>m</code> instead of "meters"). Always place a single space between the number and the unit. <em>(Example: <code>50 kg</code>, <code>10 USD</code>)</em></li>
-    <li><strong style="color: black;">Percentages:</strong> Attach the <code>%</code> symbol directly to the number with no space. <em>(Example: <code>50%</code>)</em></li>
-    <li><strong style="color: black;">Dates:</strong> Convert all dates to the standardized <code>YYYY-MM-DD</code> format. <em>(Example: "Jan 1st 24" becomes <code>2024-01-01</code>)</em></li>
-    <li><strong style="color: black;">Decimals:</strong> Use a single period (<code>.</code>) as a decimal separator, never a comma. <em>(Example: <code>3.14</code>)</em></li>
-    <li><strong style="color: black;">Thousands Separator:</strong> Do not use commas to separate large numbers. <em>(Example: <code>1000</code>, not <code>1,000</code>)</em></li>
-    <li><strong style="color: black;">No Filler Text:</strong> Output <strong style="color: black;">only</strong> the requested data. Do not frame your answer in full sentences (e.g., avoid "The answer is...").</li>
-  </ul>
-  <p><strong style="color: black;">Final Output Format:</strong> For subissions on the RRC server the final extracted answer is need. We recommend that your system prefixes the final response with the following exact phrasing:</p>
-  <pre style="background-color: white; color: black; border: 1px dashed black; padding: 10px; border-radius: 4px;"><code>FINAL ANSWER: [Your formatted answer]</code></pre>
+| Category | Gemini 3 Pro Preview | GPT-5.2 | Gemini 3 Flash Preview | GPT-5 Mini |
+|---|---|---|---|---|
+| **Overall Accuracy** | **0.375** | 0.350 | 0.3375 | 0.225 |
+| Business Report | 0.400 | **0.600** | 0.200 | 0.300 |
+| Comics | 0.300 | 0.200 | **0.400** | 0.100 |
+| Engineering Drawing | 0.300 | 0.300 | **0.500** | 0.200 |
+| Infographics | **0.700** | 0.600 | 0.500 | 0.500 |
+| Maps | 0.000 | **0.200** | 0.000 | 0.100 |
+| Science Paper | 0.300 | 0.400 | **0.500** | 0.100 |
+| Science Poster | **0.300** | 0.000 | 0.200 | 0.000 |
+| Slide | **0.700** | 0.500 | 0.400 | 0.500 |
+
 </div>
 
----------
+> **Evaluation Parameters**
+>
+> - GPT models: "High thinking" enabled, temperature = 1.0  
+> - Gemini models: "High thinking" enabled, temperature = 0.0
+
+> **API Constraints**
+>
+> Both model families were evaluated via their respective APIs. If a sample fails because the input files are too large, the result counts as a failure.  
+> For example, several comics exceed the 50MB file input limit present in some API models.
 
-## Evaluation Code & Baselines
+---
+
+# Answer Formatting Rules
+- **Source Adherence**  
+  Only provide answers found directly within the document.  
+  If the question is unanswerable given the provided image, the response must be exactly:  
+  `Unknown`
 
-To ensure consistency and fairness, all test submissions are evaluated using our official automated evaluation pipeline on [RRC Sever](https://rrc.cvc.uab.es/?ch=34&com=introduction). 
+- **Multiple Answers**  
+  List multiple answers in their order of appearance, separated by a comma and a single space.  
+  Do not use the word "and".  
+  Example: `Answer A, Answer B`
 
-For the validation set this pipeline handles the extraction of your model's answers and applies both strict formatting checks (for numbers, dates, and units) and relaxed text matching (ANLS) for text-based answers.
-You can find the complete, ready-to-use evaluation script in our official GitHub repository:
-👉 **[VLR-CVC/DocVQA2026 GitHub Repository](https://github.com/VLR-CVC/DocVQA2026)**
+- **Numbers & Units**  
+  Convert units to standardized abbreviations (`kg`, `m`, etc.).  
+  Always place a single space between number and unit.  
+  Example: `50 kg`, `10 USD`
 
-### What you will find in the repository:
+- **Percentages**  
+  Attach `%` directly to the number with no space.  
+  Example: `50%`
 
-* **The Evaluator Script:** The core logic used to parse your model's outputs and calculate the final scores. You can use this script to test and evaluate your predictions locally before making an official submission.
-* **The Baseline Master Prompt:** We have included the exact prompt structure (`get_evaluation_prompt()`) used for our baseline experiments. This prompt is heavily engineered to enforce the competition's mandatory reasoning protocols and strict output formatting. 
+- **Dates**  
+  Convert dates to `YYYY-MM-DD`.  
+  Example: `Jan 1st 24` → `2024-01-01`
 
-We highly recommend reviewing both the evaluation script and the Master Prompt. You are welcome to use the provided prompt out-of-the-box or adapt it to better guide your own custom models!
+- **Decimals**  
+  Use a period `.` as decimal separator.  
+  Example: `3.14`
 
-## Dataset Structure
+- **Thousands Separator**  
+  Do not use commas.  
+  Example: `1000`
 
-The dataset consists of:
-1.  **Images:** High-resolution PNG renders of document pages located in the `images/` directory.
-2.  **Annotations:** A Parquet file (`val.parquet`) containing the questions, answers, and references to the image paths.
+- **No Filler Text**  
+  Output only the requested data.
+
+---
 
+# Contact
 
-## Contact
+For questions, technical support, or inquiries regarding the DocVQA 2026 dataset and competition framework: **docvqa@cvc.uab.cat**
 
-For questions, technical support, or inquiries regarding the DocVQA 2026 dataset and competition framework, please reach out to the organizing committee at [docvqa@cvc.uab.cat](mailto:docvqa@cvc.uab.cat).
+For participation, leaderboard, and submissions please use the **RRC platform**: https://rrc.cvc.uab.es/?ch=34