Error code:   ConfigNamesError
Exception:    ValueError
Message:      Feature type 'Coordinates' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Video', 'Pdf', 'Nifti', 'Json']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 612, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 386, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2138, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1983, in from_dict
                  obj = generate_from_dict(dic)
                        ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1564, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1570, in generate_from_dict
                  raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
              ValueError: Feature type 'Coordinates' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Video', 'Pdf', 'Nifti', 'Json']

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Dataset Card — AgroGate_SAR2NDVI_Balanced

Dataset Summary

AgroGate_SAR2NDVI_Balanced is a geospatial dataset containing balanced SAR and NDVI tiles of paddy fields in Sri Lanka. The dataset is designed for classification tasks with labels based on field health status (bare soil, moderate, healthy, and very healthy).

Unlike the time-series dataset, this version has individually labeled tiles corresponding to different field conditions. It supports classification tasks for assessing paddy field health using Sentinel-1 SAR and Sentinel-2 NDVI images.

This dataset is a balanced version of the AgroGate time-series dataset and provides an equal distribution of field health classes for improved model training.

Dataset Structure

Root directory:


AgroGate_SAR2NDVI_Balanced/
├── NDVI/
│    ├── tile_00003.tif
│    ├── tile_00004.tif
│    ├── ...
│
├── SAR/
│    ├── tile_00003.tif
│    ├── tile_00004.tif
│    ├── ...

Data Description

Field	Type	Description
`field_id`	string	Identifier for the paddy field (e.g., `76`)
`season`	string	Season name (e.g., `Yala 2023`)
`stage`	string	Growth stage name (e.g., `stage1`–`stage5`)
`sar_image`	GeoTIFF	Sentinel-1 SAR image of the field
`ndvi_image`	GeoTIFF	Sentinel-2 NDVI image of the same field
`acquisition_date_sar`	date	Date of SAR acquisition
`acquisition_date_ndvi`	date	Date of NDVI acquisition
`health_class`	string	Field health class (`bare_soil`, `moderate`, `healthy`, `very_healthy`)
`roi_center`	coordinates	Latitude/longitude of field center
`resolution`	int	Image resolution (10 m)
`tile_size_m`	float	Tile width/height (≈1280 m)
`time_diff_days`	integer	Temporal gap (days) between SAR and NDVI

Example Metadata Entry

field_id,season,stage,sar_image,ndvi_image,acquisition_date_sar,acquisition_date_ndvi,health_class
76,Yala_2023,stage1,AgroGate_SAR2NDVI_Balanced/SAR/tile_00003.tif,AgroGate_SAR2NDVI_Balanced/NDVI/tile_00003.tif,2023-08-12,2023-08-10,healthy

Data Splits

Split	Description
`train`	70% of tiles
`validation`	15% of tiles
`test`	15% of tiles

Dataset Creation

Source Data

SAR: Sentinel-1 GRD (VV/VH polarization)
NDVI: Derived from Sentinel-2 Level-2A (10 m bands)
- NDVI = (B8 - B4) / (B8 + B4)
- Cloud-masked using Sentinel-2 Scene Classification Layer (SCL)

Health Classes

bare_soil: Empty or bare areas
moderate: Fields with early vegetation
healthy: Fields with established healthy crops
very_healthy: Fields with fully mature crops, close to harvest

Spatial Tile Extraction

Centered on identified paddy field locations
Circular buffer of 640 m radius (≈1.28 km tile)
Clipped to bounding box and exported at 10 m scale

License

CC-BY 4.0 — You may share and adapt with attribution.

Citation

@dataset{agrogate_sar2ndvi_balanced_2025,
  title = {AgroGate_SAR2NDVI_Balanced},
  author = {Wanniarachchi S. K. and Weerakoon D.S.K},
  year = {2025},
  publisher = {Hugging Face Datasets},
  license = {CC-BY 4.0},
  url = {https://huggingface.co/datasets/SanuthK/AgroGate_SAR2NDVI_Balanced}
}

Acknowledgements

Developed under the AgroGate Project, an initiative by AgroGate Team to create a no-code, AI-powered digital twin platform for Sri Lankan agriculture. Built using Sentinel-1 and Sentinel-2 imagery, this dataset helps in developing models for classifying paddy field health.

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