Added SQL scripts for both the schema and data subset

.gitignore

@@ -247,3 +247,6 @@ sketch
 
 # End of https://www.toptal.com/developers/gitignore/api/node,react,intellij+all
 # Thanks for reviewing
+
+# To allow for local versions of the dataset CSV files, without adding it to Git
+**.csv

Database/README.md

@@ -0,0 +1,15 @@
+# Database
+
+The `Database` folder holds the Discogs-derived dataset used by the project:
+
+| Item | What it is |
+|---|---|
+| `schema.sql` | PostgreSQL schema for the subset: 10 tables (releases, tracks, artists, aliases, members, groups, genres/styles, name variations) |
+| `dataset-subset.sql` | Generated INSERT file: the catalogues of 15 major artists (The Beatles, David Bowie, Queen, Pink Floyd, Miles Davis, ...), deduplicated to one release per album, preferring the original vinyl |
+| `Notes.md` | Full documentation: CSV parsing pitfalls, artist selection, dedup rules, ID generation, validation results |
+| `scripts/` | The pipeline. One command from dump to database: `bash scripts/make_subset.sh` (see Notes.md §9.5) |
+| `discogs_20251201_*.csv` | The raw Discogs dump (~35 GB, gitignored — not in the repo, needed only to regenerate) |
+
+The subset covers 15 artists, ~12,500 releases (one pressing per album, original vinyl preferred), ~268,000 tracks, and is validated against the schema with foreign keys enabled before every commit of the file. Track positions are verbatim Discogs positions (`A1`, `1`, `CD1-03`, ...).
+
+Later on in the project, we will de-duplicate even further, but for now this will do.