added 2025-03-27 session

Author: sujee

README.md

@@ -19,6 +19,7 @@ Office Hours are held every week, offering engaging talks and live Q&A sessions
 
 (latest first)
 
+- **2025-Mar-20:** [Workshop: Preparing High Quality Datasets with Data Prep Kit](events/2025-03-27__high-quality-dataset-with-dpk.md)
 - **2025-Mar-20:** [Workshop: Hands on with Data Prep Kit](events/2025-03-20__data-prep-kit-hands-on.md)
 - **2025-Mar-13:** [Workshop: Hands on with Docling](events/2025-03-13__docling-hands-on.md)
 - **2025-Mar-06:** [Introducing GneissWeb -  a state-of-the-art LLM pre-training dataset](events/2025-03-06__gneissweb.md)

events/2025-03-27__high-quality-dataset-with-dpk.md

@@ -0,0 +1,92 @@
+# Workshop: Preparing High Quality Datasets with Data Prep Kit (2025 Mar 27)
+
+<!-- ## 🔗 [tinyurl.com/jzbvaeak](https://tinyurl.com/jzbvaeak) -->
+
+<!-- <img src="../assets/qrcode_2025-02-27__data-prep-review.png" width="400px"> -->
+
+## Event Details
+
+[Event sign up](https://www.meetup.com/ibm-developer-sf-bay-area-meetup/events/306536813){:target="_blank" rel="noopener"}<br>
+🗓️: **March 27, 2025 Thursday**<br>
+⏰: **9 am PST  / 11 am CST / 12 pm EST / 5pm GMT**  
+Duration: **1 hour**
+
+**Event recording will be available soon**
+
+**[Check resources](#resources)** - code, presentation slides ..etc
+
+**[Q & A section](#q--a)**
+
+---
+
+
+## Agenda
+
+- Welcome, housekeeping, etc.
+- Quick intro about AI Alliance (3 min)
+- Workshop: Preparing High Quality Datasets with Data Prep Kit (40 mins)
+- Q&A (10 mins)
+- Wrap-up
+
+## Workshop: Hands-on with Data Prep Kit
+
+![](../assets/data-prep-kit-1.png)
+
+
+### Overview
+
+When building machine learning and data applications, a significant portion of your time will be dedicated to data wrangling - from content extraction and filtering out problematic and low quality data. In this hands-on session we will explore Data Prep Kit - an open source toolkit, designed to streamline these essential tasks. Attendees will learn first hand how to use the Data Prep Kit to improve overall data quality such as removing spam and low quality documents, removing HAP (Hate Abuse Profanity) speech, removing PII (Personally Identifiable Information) data, thus leading to higher quality dataset.
+
+### Description
+
+Join us for an interactive, hands-on session where you will learn to clean up data and prepare high quality datasets.
+
+In this workshop we will do the following:
+
+- Extract content from various documents (PDFs, HTML)
+- cleanup and remove markups
+- Detect and remove SPAM content
+- Score and remove low-quality documents
+- Identify and remove PII data
+- Detect and remove HAP (Hate Abuse Profanity) speech from documents
+- More about Data Prep Kit : https://github.com/IBM/data-prep-kit
+
+**What do you need to participate in this workshop?**
+
+- Comfortable in python programming language
+- We will run the workshop code using Google Collab (free) - no other setup is needed!
+
+**Session Type:**  
+Hands on workshop
+
+**Audience**:  
+LLM app developers, data scientists, data engineers
+
+**Technical Level**:  
+Intermediate
+
+**Prerequisites**:  
+None
+
+**Duration**  
+45 mins
+
+### Resources
+
+will be available soon.
+
+### Speaker: Sujee Maniyam
+
+**AI Engineer, Developer Advocate @ Node51 (Consulting for [IBM / The AI Alliance](https://thealliance.ai/))**  <br>
+
+Sujee Maniyam is an expert in Generative AI, Machine Learning, Deep Learning, Big Data, Distributed Systems, and Cloud technologies. He is passionate about developer education, fostering community engagement. Sujee has led numerous training sessions, hackathons, and workshops. He is also an author, open source contributor and frequent speaker at conferences and meetups.
+
+[email protected] &nbsp; • &nbsp;
+<img src="../assets/linkedin.svg" width="16 px"> [Linkedin](https://www.linkedin.com/in/sujeemaniyam/){:target="_blank" rel="noopener"} &nbsp;  • &nbsp;
+[portfolio](https://sujee.dev/portfolio?utm_medium=speaker_bio&utm_source=the-ai-alliance.github.io&utm_campaign=speaking_aialliance_offie_hours){:target="_blank" rel="noopener"}
+
+---
+
+## Q & A
+
+Please review the session recording