Datasets:
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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
GlobalGeoTree Dataset
GlobalGeoTree is a comprehensive global dataset for tree species classification, comprising 6.3 million geolocated tree occurrences spanning 275 families, 2,734 genera, and 21,001 species across hierarchical taxonomic levels. Each sample is paired with Sentinel-2 image time series and 27 auxiliary environmental variables.
Dataset Structure
This repository contains three main components:
1. GlobalGeoTree-6M
- Training dataset with around 6M samples
- Each sample includes:
- Sentinel-2 time series (12 monthly composites)
- 27 auxiliary environmental variables
- Hierarchical taxonomic labels (Family, Genus, Species)
- Format: WebDataset (.tar)
2. GlobalGeoTree-10kEval
- Evaluation dataset with carefully curated samples
- Three versions available:
- 90 species (30 each from Rare, Common, and Frequent categories)
- 300 species (100 each from Rare, Common, and Frequent categories)
- 900 species (300 each from Rare, Common, and Frequent categories)
- Format: WebDataset (.tar)
3. checkpoints
- Pre-trained GeoTreeCLIP model weights
- File:
GGT_6M.pth - Trained on the full GlobalGeoTree-6M dataset for 25 epochs
4. files
- Complete sample information file:
GlobalGeoTree.csv - Contains metadata for all samples including:
- Sample ID
- Taxonomic information (Family, Genus, Species)
- Geographic location (latitude, longitude)
- Source and year of observation
- Location description
- Format: CSV
Related Repository
For detailed usage instructions, model implementation, and training scripts, please check our GitHub repository: GlobalGeoTree
License
This dataset is released under CC BY 4.0.
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