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)                               |
+
+
+<!-- Provide a longer summary of what this dataset is. -->
+**Metadata.paraquet 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 Germany;
+
+b) used our algorithms and models (OPENCLIP_SIGLIP_400M)
+
+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. -->
+
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+[More Information Needed]
+
+
+
+## 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.paraquet**
+| 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).|
+
+**Embedding.dat**
+
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+<!-- Motivation for the creation of this dataset. -->
+
+[More Information Needed]
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+[More Information Needed]
+
+#### Who are the source data producers?
+
+<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+
+[More Information Needed]
+
+### Annotations [optional]
+
+<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+
+#### Annotation process
+
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+<!-- This section describes the people or systems who created the annotations. -->
+
+[More Information Needed]
+
+#### Personal and Sensitive Information
+
+<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Dataset Card Authors [optional]
+
+[More Information Needed]
+
+## Dataset Card Contact
+
+[More Information Needed]