Create README.md

README.md

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+---
+task_categories:
+- zero-shot-classification
+language:
+- en
+---
+# Dataset Card for Dataset Name
+
+<!-- Provide a quick summary of the dataset. -->
+
+We downloaded satellite images from Major-TOM, filtered for Germany, and processed them into vector embeddings.
+
+## Datasource Details
+|               | Value                                   |
+|---------------|-----------------------------------------|
+| Datasource    | Major-TOM/Core-S2L2A                    |
+| Region        | box(5.98865807458, 47.3024876979, 15.0169958839, 54.983104153) (Covers whole of Germany) |
+| Date Range    | ('2020-01-01', '2025-01-01')            |
+| Cloud Cover   | (0, 10)                                 |
+| No Data       | (0.0, 0.0)                               |
+
+Organisation: https://huggingface.co/Major-TOM
+
+Base Dataset: https://huggingface.co/datasets/Major-TOM/Core-S2L2A
+
+
+<!-- Provide a longer summary of what this dataset is. -->
+**Metadata.parquet File**
+
+This dataset shows the relationship between our embeddings/vectors and Major TOM images for fast linking to other Major TOM datasets.
+
+**Embedding.dat**
+
+This dataset has the vector embeddings calculated by us.
+
+What we did was:
+
+a) to vectorise the entire Major-TOM image data for Europe;
+
+b) used the OPENCLIP_SIGLIP_400M on the Quasara Platform for embedding generation
+
+c) no pre-training, no labelling happened in the preparation of this dataset
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+# MajorTOM-Europe Dataset
+
+The **MajorTOM-Europe dataset** provides embeddings derived from high-resolution satellite images of the Europe region, generated using the OpenCLIP SigLIP model. These embeddings, extracted from images covering a range of geographic coordinates across Germany, provide a powerful tool for various applications.
+
+## Dataset Information
+
+- **Coordinates Info:** The embeddings cover a range of geographic coordinates across the Europe region.
+- **Related Dataset:** The MajorTOM-Europe dataset is closely related to the original **S2L2A** dataset.
+
+## Features
+
+The MajorTOM-Europe dataset leverages CLIP's ability to relate textual descriptions to visual data, enabling more intuitive searches and analysis. This allows users to search among images using text-based queries effectively.
+
+## Applications
+
+The MajorTOM-Europe dataset can be utilized for various applications, including:
+
+- **Monitoring Changes in Land Use and Land Cover:**
+  - Track deforestation
+  - Observe urban expansion
+  - Monitor water body dynamics
+
+- **Precision Agriculture:**
+  - Analyze crop health
+  - Predict yields
+  - Plan harvests
+
+- **Climate Research:**
+  - Study climate patterns
+  - Monitor changes and impacts on regional and local levels
+
+
+<!--direct use have to think still with de code snippet -->
+
+
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+
+**Metadata.parquet**
+| Column         | Explanation                                                                                   |
+|----------------|-----------------------------------------------------------------------------------------------|
+| grid_cell      | Coordinates in the Major TOM grid, enabling fast linking to other Major TOM datasets.         |
+| grid_row_u     | Row identifier in the Major TOM grid for linking purposes.                                     |
+| grid_row_r     | Another row identifier in the Major TOM grid for linking purposes.                              |
+| centre_lat     | Latitude of the center of the image portion for which embedding has been computed.             |
+| centre_lon     | Longitude of the center of the image portion for which embedding has been computed.            |
+| timestamp      | Date and time of the original product in the %Y%m%dT%H%M%S format.                             |
+| dat_row        | Row number in the .dat file associated with the data entry.                                    |
+| unique_id      | Unique identifier combining grid_cell, timestamp, and possibly other parameters (e.g., parquet).|
+| image_type    | Each image is split into 70 segments and vectorized. |
+| coordinates   | Coordinates in the image that define the segment that was vectorized. Full images have no coordinates. |
+| embedding_file    | Corresponding file that stores the embedding vector. |
+
+**Embedding.dat**
+
+| Column        | Explanation                                                                                         |
+|---------------|-----------------------------------------------------------------------------------------------------|
+| embeddings    | Vectors calculated from the image/image segment.                                                     |
+