update readme

README.md

@@ -104,7 +104,7 @@ The original Lakh MIDI Dataset is a collection of 176,581 unique MIDI files, 45,
 
 **Key ideas in this release:**
 - **Structured Data Vault 2.0 model** with hubs, links, and satellites
-- **Bronze layer** with raw extracted data in Parquet format (not part of this distribution, see https://github.com/Nintorac/lakh_midi_dataset to build it)
+- **Bronze layer** with raw extracted data in Parquet format (not part of this distribution, see https://github.com/Nintorac/ntrc_lmd to build it)
 - **Silver layer** with cleaned, deduplicated, and structured data
 - **Gold layer** with clean derormalized views ready for ML pipelines and other downstream usecases
 
@@ -140,7 +140,7 @@ This approach allows you to fetch data from the gold layer, without having to ma
 
 ## Data Structure
 
-To understand the schema of the silver layer check out the [schema_silver.dbml](https://github.com/Nintorac/lakh_midi_dataset/blob/main/schema_silver.dbml) - load it in [dbdiagram.io](https://dbdiagram.io/d) for an interactive view.
+To understand the schema of the silver layer check out the [schema_silver.dbml](https://github.com/Nintorac/ntrc_lmd/blob/main/schema_silver.dbml) - load it in [dbdiagram.io](https://dbdiagram.io/d) for an interactive view.
 
 Below is a high level overview of how the tables fit together.
 
@@ -241,7 +241,7 @@ This dataset was processed using:
 - **DuckDB** as the analytics database engine
 - **Data Vault 2.0 methodology** for scalable data modeling
 
-For more information about the processing pipeline, see the [project repository](https://github.com/nintorac/lakh_midi_dataset).
+For more information about the processing pipeline, see the [project repository](https://github.com/nintorac/ntrc_lmd).
 
 ## Resources
 

lakh_remote.duckdb

@@ -1,3 +1,3 @@
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+oid sha256:a94b1e950f611e4ca4821e3f5a1cf326f835e4fc290d4faff4366c03d76327e3
 size 274432