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submit.md

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-# If you are interested, please submit here ...
+# LLM Hallucination Detection Leaderboard Submission Guidelines
+
+Thank you for your interest in contributing to the **LLM Hallucination Detection Leaderboard**!  We welcome submissions from researchers and practitioners who have built or finetuned language models that can be evaluated on our hallucination benchmarks.
+
+---
+
+## 1. What to Send
+
+Please email **[email protected]** with the subject line:
+
+```
+[Verify Leaderboard Submission] <Your-Model-Name>
+```
+
+Attach **one ZIP file** that contains **all of the following**:
+
+1. **`model_card.md`** – A short Markdown file describing your model:  
+   • Name and version  
+   • Architecture / base model  
+   • Training or finetuning procedure  
+   • License  
+   • Intended use & known limitations  
+   • Contact information
+2. **`results.csv`** – A CSV file with **one row per prompt** and **one column per field** (see schema below).
+3. (Optional) **`extra_notes.md`** – Anything else you would like us to know (e.g., additional analysis).
+
+---
+
+## 2. CSV Schema
+
+| Column             | Description                                                               |
+|--------------------|---------------------------------------------------------------------------|
+| `request`          | The exact input prompt shown to the model.                                |
+| `response`         | The raw output produced by the model.                                     |
+| `verify_response`  | The  Verify judgment or explanation regarding hallucination.      |
+| `verify_label`     | The final boolean / categorical label (e.g., `TRUE`, `FALSE`).   |
+| `task`             | The benchmark or dataset name the sample comes from.            |
+
+**Important:**  Use UTF-8 encoding and **do not** add additional columns without prior discussion; extra information should go in the `metadata` field. You must use Verify by kluster.ai to ensure fairness in the leaderboard.
+
+---
+
+## 3. Evaluation Datasets
+
+Run your model on the following public datasets and include *all* examples in your CSV.  You can load them directly from Hugging Face:
+
+| Dataset | Hugging Face Link |
+|---------|-------------------|
+| HaluEval QA (qa_samples subet with Question and Knowledge column) | https://huggingface.co/datasets/pminervini/HaluEval |
+| UltraChat | https://huggingface.co/datasets/kluster-ai/ultrachat-sampled |
+
+---
+
+## 5. Example Row
+
+```csv
+request,response,verify_response,verify_label,task
+"What is the capital of the UK?","London is the capital of the UK.","The statement is factually correct.",CORRECT,TruthfulQA
+```
+
+---
+
+## 6. Review Process
+
+1. We will sanity-check the file format and reproduce a random subset.  
+2. If everything looks good, your scores will appear on the public leaderboard. 
+3. We may reach out for clarifications, please keep an eye on your inbox.
+
+---
+
+## 7. Contact
+
+Questions?  Email **[email protected]**.
+
+We look forward to your submissions and to advancing reliable language models together!