diff --git a/README.md b/README.md
deleted file mode 100644
index 3d020a784f291075dbdde3e45591d976addfbe7d..0000000000000000000000000000000000000000
--- a/README.md
+++ /dev/null
@@ -1,83 +0,0 @@
----
-license: cc-by-sa-4.0
-tags:
-- embeddings
-- earth-observation
-- geospatial
-- remote-sesning
-- sentinel-1
-- sar
-- satellite
-- synthethic-aperture-radar
-- SSL4EO
-- satellite-imagery
-size_categories:
-- 10M<n<100M
----
- 
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/_pmXpKIwlYdPWG7j-nR05.png)
-# Core-S1RTC-SSL4EO 📡⚡🛰️
-| Dataset | Modality | Number of Embeddings  | Sensing Type | Total Comments | Source Dataset | Source Model | Size |
-|:--------:|:--------------:|:-------------------:|:------------:|:--------------:|:--------------:|:--------------:|:--------------:|
-|Core-S1RTC-SSL4EO|Sentinel-1 RTC|36,748,875|SAR|General-Purpose Global|[Core-S1RTC](https://huggingface.co/datasets/Major-TOM/Core-S1RTC)|[SSL4EO-ResNet50-MOCO](https://github.com/zhu-xlab/SSL4EO-S12)|332.5 GB|
-
-
-## Content
-| Field           | Type   | Description                                                                 |
-|:-----------------:|:--------:|-----------------------------------------------------------------------------|
-| unique_id       | string | hash generated from geometry, time, product_id, and embedding model         |
-| embedding       | array  | raw embedding array                                                          |
-| grid_cell       | string | Major TOM cell                                                              |
-| grid_row_u      | int    | Major TOM cell row                                                          |
-| grid_col_r      | int    | Major TOM cell col                                                          |
-| product_id      | string | ID of the original product                                                  |
-| timestamp       | string | Timestamp of the sample                                                     |
-| centre_lat      | float  | Centre of the fragment latitude                                             |
-| centre_lon      | float  | Centre of the fragment longitude                                            |
-| geometry        | geometry | Polygon footprint (WGS84) of the fragment                                   |
-| utm_footprint   | string | Polygon footprint (image UTM) of the fragment                               |
-| utm_crs         | string | CRS of the original product                                                 |
-| pixel_bbox      | bbox   | Boundary box of the fragment (pixels)            
-
-
-## Input Data
-* Sentinel-1 RTC radar dataset global coverage
-* All samples from [**MajorTOM Core-S1RTC**](https://huggingface.co/datasets/Major-TOM/Core-S1RTC)
-* Image input size: **224 x 224** pixels, target overlap: 10%, border_shift: True
-
-## Model
-The image encoder of the [**SSL4EO-ResNet50-MOCO model**](https://github.com/zhu-xlab/SSL4EO-S12) was used to extract embeddings.
-
-## Example Use
-Interface scripts are available at
-
-```python
-from datasets import load_dataset
-dataset = load_dataset("Major-TOM/Core-S1RTC-SSL4EO")
-```
-
-## Generate Your Own Embeddings
-
-The [**embedder**](https://github.com/ESA-PhiLab/Major-TOM/tree/main/src/embedder) subpackage of Major TOM provides tools for generating embeddings like this ones. You can see an example of this in a dedicated notebook at (link).
-[![GitHub](https://img.shields.io/badge/GitHub-Generate%20Your%20Own%20Embeddings-blue?logo=github&style=flat-square)](https://github.com/ESA-PhiLab/Major-TOM/tree/main/src/embedder)
-
-
----
-## Major TOM Global Embeddings Project 🏭
-This dataset is a result of a collaboration between [**CloudFerro**](https://cloudferro.com/) 🔶 and [**Φ-lab, European Space Agency (ESA)**](https://philab.esa.int/) 🛰️ set up in order to provide open and free vectorised expansions of Major TOM datasets and define a standardised manner for releasing Major TOM embedding expansions.
-
-The embeddings extracted from common AI models make it possible to browse and navigate large datasets like Major TOM with reduced storage and computational demand.
-
-The datasets were computed on the [**GPU-accelerated instances**](https://cloudferro.com/ai/ai-computing-services/)⚡ provided by [**CloudFerro**](https://cloudferro.com/) 🔶 on the [**CREODIAS**](https://creodias.eu/) cloud service platform 💻☁️.
-Discover more at [**CloudFerro AI services**](https://cloudferro.com/ai/).
-
-
-## Authors
-[**Marcin Kluczek (CloudFerro)**](https://www.linkedin.com/in/marcin-kluczek-03852a1a8/), [**Mikolaj Czerkawski (Φ-lab, European Space Agency)**](https://mikonvergence.github.io), [**Jędrzej S. Bojanowski (CloudFerro)**](https://www.linkedin.com/in/j%C4%99drzej-s-bojanowski-a5059872/)
-
-# Cite
-[![arxiv](https://img.shields.io/badge/Open_Access-arxiv:2402.12095-b31b1b)](https://arxiv.org/)
-
-
-Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://philab.esa.int/) in collaboration with [CloudFerro 🔶](https://cloudferro.com/)
\ No newline at end of file
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