Duplicate from Chat2Find/Chat2Find-Instruct-Reasoning-Sample

Co-authored-by: Avishka <Chat2Find@users.noreply.huggingface.co>

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README.md

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+---
+license: mit
+language:
+- si
+- ta
+- en
+tags:
+- instruction-finetuning
+- reasoning
+- tool-use
+- trilingual
+- singlish
+- tanglish
+- chat2find
+pretty_name: Chat2Find Unified Reasoning & Tool Dataset (Public Sample)
+size_categories:
+- n<1K
+---
+
+# Chat2Find Unified Reasoning & Tool Dataset (Public Sample)
+
+This repository contains a **5,000-record public preview** of the **Chat2Find Unified Reasoning & Tool Dataset**. 
+
+The full dataset is a premium, high-logic instruction dataset designed for training state-of-the-art conversational AI models. It contains **279,260 trilingual records** optimized for complex problem-solving, chain-of-thought reasoning, and sophisticated tool-calling interactions in **Sinhala**, **Tamil**, and **English**.
+
+## 📂 Access the Full Dataset
+
+The full 1.8 GB dataset is available as a **Gated Repository** for commercial and advanced research use.
+
+👉 **[Access the Full Dataset Here](https://huggingface.co/datasets/Chat2Find/Chat2Find-Instruct-Reasoning-Dataset)**
+
+### **How to get a license:**
+1.  **Purchase License:** Use our secure Stripe link to purchase a commercial/advanced research license:
+    👉 **[Buy Full Dataset License (Stripe)](https://buy.stripe.com/14AaEX1EjdODfblcKMawo02)**
+2.  **Provide Username:** During the Stripe checkout, please enter your **Hugging Face Username**.
+3.  **Approval:** Once payment is confirmed, we will grant your account access to the gated repository within **24 hours**.
+
+---
+
+## 📊 Sample Details & Composition
+
+The 5,000 records in this preview are carefully curated to reflect the high quality of the full dataset. 
+
+**Conversation Flow:**
+- **Single-turn (SFT):** 70.0% (3,500 records)
+- **Multi-turn (Agentic/Chat):** 30.0% (1,500 records)
+
+**Reasoning & Execution:**
+- **Pure Chain-of-Thought Reasoning:** 72.0%
+- **Tool Calling & API Interaction:** 28.0%
+
+**Language Breakdown:**
+- **Tamil:** 45.7%
+- **Sinhala:** 36.3%
+- **English:** 18.0%
+- *Note: Singlish and Tanglish code-mixed data are aggressively embedded within these records to ensure realistic South Asian conversational abilities.*
+
+---
+
+## 🌟 What's in the Full Dataset?
+The full 1.8 GB dataset contains **279,260 records** offering a massive scale-up of everything seen in this sample.
+- Over **10,800** deep multi-turn interactions.
+- Hundreds of thousands of localized, culturally aware logic puzzles, tool invocations, and code-mixed conversations not found in standard open-source datasets.
+
+---
+**Stay tuned to [chat2find.com](https://chat2find.com) for updates.**

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