Update README.md

README.md

@@ -16,12 +16,6 @@ size_categories:
 CrisisLandMark is a large-scale corpus composed of Sentinel-1 and  Sentinel-2 data enriched with textual and geospatial annotations 
 designed for LULC and crisis management applications. The primary purpose is to help design text-to-image retrieval pipelines.
 
-## Dataset Details
-
-<!-- Provide a longer summary of what this dataset is. -->
-
-
-
 - **Curated by:** Daniele Rege Cambrin
 - **License:** Creative Commons Attribution Non Commercial 4.0
 - **Repository:** [GitHub](https://github.com/DarthReca/closp)
@@ -31,17 +25,47 @@ designed for LULC and crisis management applications. The primary purpose is to
 
 <!-- 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. -->
 
-[More Information Needed]
+The *crisislandmark.h5* file can be used to access all the keys. Since it contains only [ExternalLinks](https://docs.h5py.org/en/stable/high/group.html#external-links), the other files are necessary.
+Each key contains the following matrices:
+
+| Key      | Shape           | Data Type | Description                                           |
+| :------- | :-------------- | :-------- | :---------------------------------------------------- |
+| `image`  | `(B, 120, 120)` | `float32` | Contains the B bands of the image from S1 or S2.      |
+| `coords` | `(2, 120, 120)` | `float32` | Contains the coordinates for each pixel of the image. |
+
+and the following attributes:
+
+| Key         | Shape | Data Type   | Description                                            |
+| :---------- | :---- | :---------- | :----------------------------------------------------- |
+| `crs`       | `(1)` | `float32`   | Contains the CRS for the coords matrix.                |
+| `timestamp` | `(1)` | `float32`   | Contains the associated timestamp if available.        |
+| `labels`    | `(L)` | `list[str]` | Contains the list of labels associated with the image. |
+
+The *metadata.parquet* files contain, for each key, the associated split and the labels from the original source (either CLC or DW).
+
+**NOTE**: remember to install *hdf5pluging* package to work with the dataset.
 
 ## Source Data
 
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+The CrisisLandMark dataset is composed of over 647,000 satellite images from two primary sources: Sentinel-1 and Sentinel-2 missions.
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+- Sentinel-1: These are Synthetic Aperture Radar (SAR) Ground Range Detected (GRD) products, which provide all-weather, day-and-night observations. The data includes two polarization channels: Vertical transmit-Vertical receive (VV) and Vertical transmit-Horizontal receive (VH).
+- Sentinel-2: These are Level-2A (L2A) surface reflectance optical products, providing data across 12 spectral bands from ultra-blue to short-wave infrared.
+
+The images are sourced from five existing datasets: re-BEN, CaBuAr, QuakeSet, MMFlood, and Sen12Flood. All images have been processed to a uniform spatial resolution of 10 meters and divided into 120x120 pixel patches.
 
 ### Annotations
 
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+The dataset features a comprehensive set of structured textual and geospatial annotations created specifically for this work. 
+The annotations were generated by harmonizing established land cover classification systems and crisis-specific tags.
+
+- For general land cover scenes, annotations were derived from the detailed CORINE Land Cover (CLC) system.
+- For images related to crisis events, LULC annotations were generated by querying the near-real-time global Dynamic World (DW) system.
+- For images sourced from crisis-specific datasets (CaBuAr, MMFlood, Sen12Flood, Quakeset), the original event tags such as "wildfire", "flooding", and "earthquake" were retained and incorporated.
+
+*NOTE*: In *mapping.py*, you can find the mapping between CLC and DW used in the original settings.
 
 ## Citation