Update README.md

README.md

@@ -125,7 +125,137 @@ godzillamididataset.search_and_filter(sigs_dicts, X, global_union)
 
 ***
 
-## Citation card
+## Dataset structure information
+
+```
+Godzilla-MIDI-Dataset/              # Dataset root dir
+├── ARTWORK/                        # Concept artwork
+│   ├── Illustrations/              # Concept illustrations
+│   ├── Logos/                      # Dataset logos
+│   └── Posters/                    # Dataset posters
+├── CODE/                           # Supplemental python code and python modules
+├── DATA/                           # Dataset (meta)data dir
+│   ├── Averages/                   # Averages data for all MIDIs and clean MIDIs
+│   ├── Basic Features/             # All basic features for all clean MIDIs
+│   ├── Files Lists/                # Files lists by MIDIs types and categories
+│   ├── Identified MIDIs/           # Comprehensive data for identified MIDIs
+│   ├── Metadata/                   # Raw metadata from all MIDIs
+│   ├── Mono Melodies/              # Data for all MIDIs with monophonic melodies
+│   ├── Pitches Patches Counts/     # Pitches-patches counts for all MIDIs 
+│   ├── Pitches Sums/               # Pitches sums for all MIDIs
+│   ├── Signatures/                 # Signatures data for all MIDIs and MIDIs subsets
+│   └── Text Captions/              # Music description text captions for all MIDIs
+├── MIDIs/                          # Root MIDIs dir
+└── SOUNDFONTS/                     # Select high-quality soundfont banks to render MIDIs
+```
+
+***
+
+## Dataset (meta)data information
+
+****
+
+### Averages
+
+#### Averages for all MIDIs are presented in three groups:
+
+* ##### Notes averages without drums
+* ##### Notes and drums averages
+* ##### Drums averages without notes
+
+#### Each group of averages is represented by a list of four values:
+
+* ##### Delta start-times average in ms
+* ##### Durations average in ms
+* ##### Pitches average
+* ##### Velocities average
+
+****
+
+### Basic features
+
+#### Basic features are presented in a form of a dictionary of 111 metrics
+#### The features were collected from a solo piano score representation of all MIDIs with MIDI instruments below 80
+#### These features are useful for music classification, analysis and other MIR tasks
+
+****
+
+### Files lists
+
+#### Numerous files lists were created for convenience and easy MIDIs retrieval from the dataset
+#### These include lists of all MIDIs as well as subsets of MIDIs
+#### Files lists are presented in a dictionary format of two strings:
+
+* ##### MIDI md5 hash
+* ##### Full MIDI path
+
+****
+
+### Identified MIDIs
+
+#### This data contains information about all MIDIs that were definitivelly identified by artist, title, and genre
+
+****
+
+### Metadata
+
+#### Metadata was collected from all MIDIs in the dataset and its a list of all MIDI events preceeding first MIDI note event
+#### The list also includes the last note event of the MIDI which is useful for measuring runtime of the MIDI
+#### The list follows the MIDI.py score format
+
+****
+
+### Mono melodies
+
+#### This data contains information about all MIDIs with at least one monophonic melody
+#### The data in a form of list of tuples where first element represents monophonic melody patch/instrument
+#### And the second element of the tuple represents number of notes for indicated patch/instrument
+#### Please note that many MIDIs may have more than one monophonic melody
+
+****
+
+### Pitches patches counts
+
+#### This data contains the pitches-patches counts for all MIDIs in the dataset
+#### This information is very useful for de-duping, MIR and statistical analysis
+
+****
+
+### Pitches sums
+
+#### This data contains MIDI pitches sums for all MIDIs in the dataset
+#### Pitches sums can be used for de-duping, MIR and comparative analysis
+
+****
+
+### Signatures
+
+#### This data contains two signatures for each MIDI in the dataset:
+
+* ##### Full signature with 577 features
+* ##### Basic signature with 392 features
+
+#### Both signatures are presented as lists of tuples where first element is a feature and the second element is a feature count
+#### Both signatures also include number of bad features indicated by -1
+
+#### Signatures features are divided into three groups:
+
+* ##### MIDI pitches (represented by values 0-127)
+* ##### MIDI chords (represented by values 128-449 or 128-264)
+* ##### MIDI drum pitches (represented by values 449-577 or 264-392)
+
+#### Both signatures can be very effectively used for MIDI comparison or MIDI search and filtering
+
+****
+
+### Text captions
+
+#### This data contains detailed textual description of music in each MIDI in the dataset
+#### These captions can be used for text-to-music tasks and for MIR tasks
+
+***
+
+## Citation
 
 ```bibtex
 @misc{GodzillaMIDIDataset2025,
@@ -139,4 +269,4 @@ godzillamididataset.search_and_filter(sigs_dicts, X, global_union)
 ***
 
 ### Project Los Angeles
-### Tegridy Code 2025
+### Tegridy Code 2025