Duplicate from Chat2Find/Chat2Find-Corpus

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:
+- conversational
+- trilingual
+- sri-lanka
+- chat2find
+pretty_name: Chat2Find Corpus
+size_categories:
+- 100K<n<1M
+---
+
+# Chat2Find Corpus
+
+The **Chat2Find Corpus** is a high-quality trilingual conversational dataset derived from real-world interactions on the [Chat2Find](https://chat2find.com) platform. It contains approximately **255 Million tokens** in **Sinhala (සිංහල)**, **Tamil (தமிழ்)**, and **English**, including significant instances of **Singlish** and **Tanglish** (transliterated and code-mixed speech). This makes it an ideal resource for Continual Pre-training (CPT) and Supervised Fine-Tuning (SFT) of Large Language Models in low-resource and multilingual contexts.
+
+---
+
+## New: Chat2Find Reasoning & Tool Datasets
+
+We have just released the instruction-tuned and reasoning subsets, designed to teach foundation models complex logic, chain-of-thought, and API tool-calling in Sinhala, Tamil, and English.
+
+*   **[Free Preview (5,000 Records)](https://huggingface.co/datasets/Chat2Find/Chat2Find-Instruct-Reasoning-Sample):** A robust sample containing heavily mixed single-turn instructions and deep multi-turn agentic workflows.
+*   **[Full Dataset (279k Records / 1.8 GB)](https://huggingface.co/datasets/Chat2Find/Chat2Find-Instruct-Reasoning-Dataset):** The massive, complete instruction dataset available under a commercial/advanced research license.
+
+---
+
+## Dataset Details
+
+- **Origin:** Real conversations and tool-assisted interactions from Chat2Find.
+- **Languages:** Trilingual (Sinhala, Tamil, English) + **Singlish** & **Tanglish**.
+- **Format:** JSON Lines (`.jsonl`).
+- **Volume:** Approximately 255 Million tokens (~279,248 records)
+- **Content:** Information seeking, role-playing, and cultural/local knowledge specific to the South Asian region (primarily Sri Lanka and India).
+
+## Key Features
+
+- **Non-Synthetic:** Unlike many large-scale datasets, this corpus originates from real platform usage, capturing natural language patterns, code-switching, and local nuances.
+- **Trilingual & Code-Mixed:** Seamless transitions between Sinhala, Tamil, and English. Naturally includes Singlish and Tanglish as used by the community.
+- **Foundation for Future Models:** This corpus is the primary training data for Chat2Find's upcoming open-weights model suite.
+- **Metadata:** Each record includes a `source` tag and a unique `record_id`.
+
+## Intended Use
+
+Specifically designed for:
+1. **Continual Pre-training (CPT):** To enhance the multilingual capabilities of base models (e.g., Qwen, Llama, Gemma).
+2. **Domain Adaptation:** Improving model performance on Sri Lankan/South Asian cultural, logistical, and linguistic queries.
+3. **Research:** Exploring code-switching and multilingual information retrieval.
+
+## Dataset Structure
+
+The dataset is partitioned into multiple JSON Lines (`.jsonl`) files located in the `data/` directory for better accessibility and streaming.
+
+Each line is a JSON object:
+
+```json
+{
+  "text": "...",
+  "metadata": {
+    "source": "chat2find.com",
+    "record_id": 12345
+  }
+}
+```
+
+## Licensing
+
+This dataset is released under the **MIT License**.
+
+## Upcoming Model Releases (Coming Soon)
+
+Chat2Find is actively developing a suite of models trained on this corpus. These will be released with **Open Weights** to the community:
+
+1. **Chat2Find Base:** A foundational trilingual model.
+2. **Chat2Find Instruct:** Optimised for following complex instructions in Sinhala, Tamil, and English.
+3. **Chat2Find Reasoning:** A high-logic model designed for complex problem-solving and chain-of-thought reasoning in a multilingual context.
+
+**Stay tuned to this repository and chat2find.com for updates.**

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