Update README.md

README.md

@@ -1,48 +1,68 @@
 ---
 license: cc-by-4.0
-language:
-  - en
 tags:
   - remote-sensing
   - satellite-imagery
-  - cafo
-  - bounding-box
+  - agriculture
+  - classification
   - multi-label
-  - cafo infrastructure
+  - bounding-box
 dataset_type: image-classification
-pretty_name: CAFO Infra Dataset
+pretty_name: CAFOSat Dataset
 size_categories:
   - 10K<n<100K
 ---
 
+# CAFOSat: CAFO Infrastructure Dataset
+
+CAFOSat is a remote sensing dataset designed for identifying and classifying Concentrated Animal Feeding Operations (CAFOs) across various U.S. states. It includes high-resolution image patches, infrastructure annotations, bounding boxes, and experimental train-test splits for multiple configurations.
+
 ---
 
+## Dataset Structure
 
-# CAFO Infra Dataset (CAFOSat)
+The dataset is organized into extracted folders originally packaged as `.tar.gz` files:
 
-This dataset contains high-resolution satellite image patches used for identifying and analyzing Concentrated Animal Feeding Operations (CAFOs). It includes a mix of manually verified samples, augmented images, and geospatial metadata.
+- `STATE_filtered/`: Original patches per U.S. state  
+  (e.g., `IA_filtered/`, `AL_filtered/`)
+- `negative_samples/`: Verified non-CAFO examples
+- `barn/`, `manure_pond/`, `others/`: Augmented synthetic patches by infrastructure type
+- `cafosat.csv`: Master metadata file with labels, bounding boxes, and split flags
 
-## Dataset Structure
+All image paths referenced in the CSV point to these extracted folders.
 
-The dataset is organized into compressed `.tar.gz` files by category:
+---
+
+## 🔖 Image File Reference (`patch_file`)
+
+Each row in the metadata includes a `patch_file` field that provides the relative path to the associated image file.
+Each `patch_file` is a pointer into a compressed archive using Hugging Face's streaming format:
 
-- `STATE_filtered.tar.gz`: Original patches per U.S. state (e.g., `IA_filtered.tar.gz`, `AL_filtered.tar.gz`)
-- `negative_samples.tar.gz`: Negative (non-CAFO) examples
-- `barn.tar.gz`, `manure_pond.tar.gz`, `others.tar.gz`: Augmented samples by infrastructure type
+Example:  
+-`IA_filtered.tar.gz::IA_filtered/crop_4517_patch_10147_Swine_Nursery_IA.tif`
+- `barn.tar.gz::`barn/aug_patch_00123.tif`
+- `negative_sample.tar.gz::`barn/neg_patch_00098.tif`
 
-All metadata, including image paths, labels, bounding boxes, and infrastructure flags, are stored in:
+This format indicates the image is located inside `IA_filtered.tar.gz` under the subpath shown. This field is automatically interpreted by Hugging Face as an image using the `datasets.Image()` feature, so image previews and loading work out of the box.
 
-- `cafosat.csv`
+---
 
 ## Features
 
-Each sample includes:
+| Column        | Description                                           |
+|---------------|-------------------------------------------------------|
+| `patch_file`  | Path to the image file                                |
+| `label`       | Integer label for class (0–6)                         |
+| `barn`, `manure_pond`, `grazing_area`, `others` | Binary infra flags       |
+| `geom_bbox`   | Bounding box coordinates `[x1, y1, x2, y2]`           |
+| `category`    | Class name (e.g., Swine, Dairy)                       |
+| `state`       | U.S. state of the patch                               |
+| `verified_label` | Human-verified CAFO type                           |
+| `CAFO_UNIQUE_ID` | Unique identifier for facility                     |
+| `image_type`  | `original`, `augmented`, `negative`, etc.             |
+| `split columns` | Flags for different train/test/val splits           |
 
-- `patch_file`: Path to the image inside a `.tar.gz` archive (e.g., `IA_filtered.tar.gz::IA_filtered/crop_4517_patch_123.tif`)
-- `label`: Integer class label (`0`: Negative, `1–6`: Livestock type)
-- `barn`, `manure_pond`, `grazing_area`, `others`: Binary infrastructure flags
-- `geom_bbox`: Bounding box for CAFO-related infrastructure
-- `cafosat_*_train/test/val`: Split flags for multiple dataset configurations
+---
 
 ## Labels
 
@@ -56,34 +76,43 @@ Each sample includes:
 | 5        | Horses          |
 | 6        | Sheep/Goats     |
 
+---
+
 ## Splits
 
-This dataset includes multiple experimental splits defined in the CSV:
-- `cafosat_verified_training`
-- `cafosat_all_training`
-- `cafosat_augmented_training`
-- `cafosat_training_set1` / `set2`
-- `cafosat_merged_training`
+Multiple experimental train-test split columns are provided in the CSV:
 
-Each split column (e.g. `cafosat_verified_training_train`) is binary (`1` if the patch belongs to the split, else `0`).
+- `cafosat_verified_training_train`, `cafosat_verified_training_test`, `cafosat_verified_training_val`
+- `cafosat_all_training_*`
+- `cafosat_training_set1_*`, `set2_*`
+- `cafosat_merged_training_*`
+- `cafosat_augmented_training_*`
 
-## Intended Use
+Each flag is a binary indicator (`1` = in split, `0` = excluded).
 
-The dataset is intended for:
-- CAFO detection and infrastructure classification
-- Environmental monitoring
-- Weak supervision and remote sensing research
+---
 
-## Licensing
+## Intended Use
 
-This dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.  
-You are free to share and adapt the data, even commercially, as long as you give appropriate credit.
+- CAFO detection and classification
+- Agricultural infrastructure mapping
+- Weak supervision, semi-supervised learning
+- Remote sensing benchmark development
 
-[View full license](https://creativecommons.org/licenses/by/4.0/)
+---
 
 ## Citation
 
-TBD
+*TBD
+
+---
+
+## License
+
+This dataset is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).
+
+You are free to share, use, and adapt the data with attribution.
+
 
 ## Contact