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README.md

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-license: mit
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+---
+license: mit
+---
+# 🪨 Dataset Description: `segments_with_geochem.csv`
+
+## 🧾 Overview
+This dataset is a **merged collection** linking **image segments of drill core trays** with their corresponding **lithological and geochemical information**.  
+Each row represents one image segment (a small interval of core depth) combined with a specific geochemical measurement.
+
+It contains **17,992 rows** and **31 columns**, integrating three main data sources:
+1. **Segmented core images** generated from hyperspectral core tray processing.  
+2. **Lithology intervals** from SARIG drillhole logging data.  
+3. **Geochemical assay data** matched by drillhole and depth range.
+
+---
+
+## 🧱 Structure and Key Columns
+
+| Category | Example Columns | Description |
+|-----------|------------------|--------------|
+| **Image Segment Metadata** | `filename`, `drillhole_number`, `core`, `segment`, `depth_m` | Derived from processed images (e.g. `9955_5_9_9.15.jpg`). Each represents a core segment at a specific depth within a drillhole. |
+| **Lithology Data (SARIG)** | `LOG_NUMBER`, `LOGGING_ORGANISATION`, `QUALIFICATION`, `LOGGING_DATE`, `major_lithology`, `DESCRIPTION` | Imported from SARIG drillhole lithology logs. These describe rock type, logging geologist, and confidence of lithological interpretation. |
+| **Spatial Coordinates** | `EASTING_GDA2020`, `NORTHING_GDA2020`, `LONGITUDE_GDA2020`, `LATITUDE_GDA2020`, `ZONE_GDA2020` | Georeferencing information for each drillhole site. |
+| **Geochemistry Data** | `chem_code`, `value`, `unit`, `chem_method_code`, `chem_method_desc` | Chemical element concentrations and assay method details. For example, `chem_code = 'Cu'`, `value = 85`, `unit = 'ppm'`, `chem_method_code = 'IC4M'`. |
+| **Depth Range (Lithology/Assay)** | `depth_from_m`, `depth_to_m` | Defines the downhole interval associated with the lithology or geochemical measurement. |
+
+---
+
+## 🧬 How It Was Made
+
+### 1. Core Segmentation
+Core tray images were processed into **individual core segments** using depth data.  
+Each segment was saved as an image file named using this pattern:
+[drillhole_number]\_[core_number]\_[segment_number]\_[depth_m].jpg
+
+Example: `9955_5_9_9.15.jpg` → Drillhole 9955, Core 5, Segment 9, Depth 9.15 m.
+
+---
+
+### 2. Lithology Mapping
+Each image segment was matched to **SARIG lithology logs** (`sarig_dh_litho_exp.csv`), using:
+drillhole_number matches AND
+depth_from_m <= segment_depth <= depth_to_m
+
+This allowed each segment to inherit lithological attributes such as `major_lithology` and `DESCRIPTION`.
+
+---
+
+### 3. Geochemical Integration
+The merged segment–lithology dataset was further joined with **SARIG assay data**.  
+Matching was again done by `drillhole_number` and depth overlap.  
+Each segment now includes one or more geochemical assay results (e.g., Cu, Fe, Au) with their `chem_method_code` and measurement units (commonly `ppm`).
+
+---
+
+## 📊 Purpose and Use
+This dataset is designed for **data integration and machine learning** applications that connect visual and chemical rock properties.  
+It can be used for:
+- Linking **visual mineralogical features** in core images to **geochemical compositions**.  
+- Building **ML models** to predict chemistry or lithology from imagery.  
+- Performing **cross-domain correlation** between **NVCL hyperspectral data** and **laboratory assays**.
+
+Each record connects what’s *seen* in the rock (image/lithology) to what’s *measured* in the lab (chemistry).
+
+---
+
+## 🧪 Notes
+- The **`value`** column represents assay readings, often in **ppm (parts per million)**.  
+- The **`unit`** column confirms the measurement type (e.g., `ppm`, `%`, etc.).  
+- The dataset integrates spatial, spectral, and chemical data — making it suitable for **multi-modal mineral systems analysis**.