The latest articles on DEV Community by Sinabis (@sinabis). https://dev.to/sinabis https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4139450%2Fa4b6367c-5dc8-47c2-a5fc-fad502d58157.png https://dev.to/sinabis en Sinabis Wed, 23 Sep 2026 12:46:47 +0000 https://dev.to/sinabis/beyond-enron-why-we-built-a-free-125m-synthetic-email-chat-dataset-for-rag-and-llms-33h2 https://dev.to/sinabis/beyond-enron-why-we-built-a-free-125m-synthetic-email-chat-dataset-for-rag-and-llms-33h2 <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fnehthnox2wfmqresk2uy.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fnehthnox2wfmqresk2uy.png" alt=" " width="800" height="354"></a></p> <p>If you've ever tried to build an email parser, fine-tune an LLM on corporate communications, or benchmark a RAG (Retrieval-Augmented Generation) pipeline, you've likely run into the infamous <strong>Enron dataset</strong>. </p> <p>For over two decades, Enron has been the undisputed "gold standard" for open communication data. But let's be honest with ourselves: <strong>it’s outdated, legally complicated, and filled with massive privacy risks (PII).</strong> </p> <p>We faced this exact bottleneck while stress-testing our own data pipelines and AI systems. Real corporate data is locked behind strict NDAs and privacy laws, and Enron just wasn't cutting it anymore for modern tech stacks.</p> <p>So, we decided to fix it. Today, we are releasing a completely free, open-source, and high-quality synthetic dataset containing <strong>1.25 million modern communication records</strong>.</p> <h2> 📊 What's Inside the Dataset? </h2> <p>Unlike older datasets that only focus on raw email text, we wanted to mirror how modern teams actually communicate. The 1.25M records are split across three major pillars:</p> <ol> <li><strong>Emails</strong></li> <li> <strong>Chats</strong> </li> <li><strong>Calendar Events</strong></li> </ol> <p>Best of all: It is <strong>100% free of real-world PII (Personally Identifiable Information)</strong>, making it fully compliant and safe to use in any environment.</p> <h2> 🛠️ Get Started Right Now </h2> <p>The dataset is fully open, hosted on HuggingFace, and ready for you to dive in. The documentation and schema details are already live in our repository's README.</p> <p>👉 <strong><a href="https://huggingface.co/datasets/sinabis-group/sinabis-synthetic-corporate-dataset" rel="noopener noreferrer">https://huggingface.co/datasets/sinabis-group/sinabis-synthetic-corporate-dataset</a></strong></p> <p>We would love to hear from the community! How are you currently solving the lack of open text datasets for communication?</p> <p>Drop your thoughts, feedback, or questions in the comments below!</p> ai opensource machinelearning