Update README.md

README.md

@@ -3,6 +3,11 @@ license: cc0-1.0
 pretty_name: RFInject
 ---
 
+# DISCLAIMER
+
+This dataset has been mirrored to: https://huggingface.co/buckets/ESA-philab/RFInject-v1-L0
+
+
 ## Overview
 
 RFInject is a research-grade Earth Observation dataset and methodology for controlled synthetic Radio Frequency Interference (RFI) injection into clean Sentinel-1 Synthetic Aperture Radar (SAR) data.
@@ -11,72 +16,8 @@ The dataset is designed to enable reproducible benchmarking of RFI detection and
 
 RFInject preserves the physical and statistical properties of real Sentinel-1 acquisitions while enabling full parametric control over injected interference characteristics.
 
-## Motivation
-
-Radio Frequency Interference is a major source of performance degradation in modern SAR missions. Sentinel-1 data is particularly affected, yet most existing studies rely on ad-hoc or irreproducible contamination scenarios.
-
-RFInject enables:
-- Repeatable experimental setups
-- Controlled and parameterized interference scenarios
-- Algorithm-agnostic benchmarking across methods and sensors
-
-## Dataset Structure
-
-```
-/
-├── RFInject/                 # Sentinel-1 data with injected synthetic RFI
-│   ├── product_001.zarr
-│   ├── product_002.zarr
-│   ├── product_003.zarr
-│               └── burst_0
-│               └── burst_1
-│               └── burst_2
-│                   └── zarr.json  (the product metadata)
-│                   └── echo (the clean burst)
-│                   └── rfi  (the rfi to add to burst)
-│                       └── zarr.json  (the RFI metadata)
-└── README.md
-```
-
-
-## Data Characteristics
-
-| Property            | Description |
-|---------------------|-------------|
-| Platform            | Sentinel-1 |
-| Sensor              | C-band SAR |
-| Data Level          | L0 |
-| Interference Type   | Synthetic RFI (parametric) |
-| File Format         | zarr / analysis-ready |
 
 
-## Methodology
-
-Synthetic RFI is injected by superimposing parameterized interference signals onto clean Sentinel-1 radar echoes.
-
-The approach ensures:
-- Spectral and temporal realism
-- Preservation of system characteristics
-- Full reproducibility through metadata-controlled parameters
-
-## Ingestion with EOTDL
-
-### CLI
-
-```bash
-eotdl datasets get RFInject
-```
-
-## Intended Use
-
-This dataset is intended for:
-- RFI detection and mitigation research
-- Machine learning model training and evaluation
-- Algorithm benchmarking
-- Reproducible SAR processing experiments
-
-Users are responsible for validating suitability for operational or safety-critical applications.
-
 ## Citation
 
 ```
@@ -94,6 +35,3 @@ Users are responsible for validating suitability for operational or safety-criti
 
 This dataset is released under the CC0 license.
 
-## Acknowledgements
-
-Developed within the ESA Φ-lab research ecosystem and related collaborations.