Update README.md

README.md

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 ---
 license: apache-2.0
+task_categories:
+- text2text-generation
+language:
+- en
+size_categories:
+- 100K<n<1M
 ---
+# Sermon Transcript Dataset
+
+## Description
+This dataset is a curated collection of approximately **960,000 rows** of sermon transcripts, obtained from sermons uploaded on YouTube. Each sermon was transcribed, split into smaller passage-like segments, and then manually labeled over a span of 4 weeks. The labeling process extracted the last Bible passage mentioned in each segment.
+
+## Purpose
+The dataset was created to facilitate the development of a **plugin for EasyWorship** powered by a small, streamable machine learning model. The envisioned plugin listens to the sermon in real time, identifies Bible passages mentioned by the minister, and uses EasyWorship to automatically display the referenced passage without requiring human intervention. This aims to streamline the process of projecting Bible verses during sermons, enabling faster and more efficient worship experiences.
+
+## What is EasyWorship?
+EasyWorship is a popular church presentation software designed to simplify the process of creating and managing worship services. It allows users to integrate Bible verses, song lyrics, and media into a seamless presentation. The proposed plugin would enhance EasyWorship's functionality by automating the display of Bible passages, eliminating the need for manual input during sermons.
+
+## Current Status
+The project is currently **paused** due to time and compute constraints. However, the dataset remains a valuable resource for future research and development in:
+
+- Real-time speech-to-text applications
+- Bible passage recognition systems
+- Enhanced church presentation tools
+
+## Dataset Features
+- **Source:** Sermons uploaded on YouTube
+- **Size:** ~960,000 rows
+- **Structure:** Each row contains a passage segment and the corresponding last Bible passage mentioned
+- **Labeling:** Hand-labeled to ensure accuracy
+
+## Future Potential
+With sufficient resources, the project can:
+- Enable real-time sermon analysis and projection tools
+- Develop a lightweight, streamable model for seamless integration with EasyWorship
+- Contribute to advancements in natural language processing and domain-specific transcription systems
+
+---
+
+For inquiries or collaborations, please reach out!