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KTT-DAY-2

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label KTT-DAY-2@2f372068fcbe7b4810875209310d1e13144b63ea
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2157, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
                  example_data = self.str2int(example_data)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
                  output = [self._strval2int(value) for value in values]
                            ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label KTT-DAY-2@2f372068fcbe7b4810875209310d1e13144b63ea

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Mini Plant Set

🌿 Mini Plant Set

📌 Provenance

This dataset is composed of curated subsets pulled from public mirrors of the PlantVillage and Cassava Leaf Disease datasets.

📊 Dataset Composition

  • Clean Set (Training & Evaluation): 1,500 labeled images.
  • Field Set (Robustness Testing): 60 noisy 'field-shot' images featuring motion blur and mixed lighting, designed to test model resilience in real-world scenarios.

⚖️ Class Weights

The subset is perfectly balanced across all 5 target classes:

{
  "healthy": 1.0,
  "maize_rust": 1.0,
  "maize_blight": 1.0,
  "cassava_mosaic": 1.0,
  "bean_spot": 1.0
}

-**Provenance**: Subsets pulled from public mirrors of PlantVillage, Cassava Leaf Disease, and Beans datasets.
- **Total Images**: 1,500 clean, 60 noisy field-shots.
- **Class Weights**: {

"healthy": 1.0, "maize_rust": 1.0, "maize_blight": 1.0, "cassava_mosaic": 1.0, "bean_spot": 1.0 }
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Models trained or fine-tuned on itsazza/KTT-DAY-2