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The dataset generation failed
Error code: DatasetGenerationError
Exception: HfHubHTTPError
Message: 416 Client Error: Requested Range Not Satisfiable for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/a6/53/a653c4969e9fa79e6aa428322beb6ebc4717d36146bd404e5da758ffaafaf0d2/1a74a298652c9490413de3a972bd214f64d2e4dd67b28f75ce99aefe6cb730fb?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250402%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250402T210137Z&X-Amz-Expires=3600&X-Amz-Signature=6332633377deef778ec50b4b2e11cb1cc8c18e63adec130143d1905951263bb7&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27landsat8_12063_0-9_test.zarr.tar%3B%20filename%3D%22landsat8_12063_0-9_test.zarr.tar%22%3B&response-content-type=application%2Fx-tar&x-id=GetObject. Requested range: bytes=448000000-453243391. Content-Range: None.
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidRange</Code><Message>The requested range is not satisfiable</Message><RangeRequested>bytes=448000000-453243391</RangeRequested><ActualObjectSize>448000000</ActualObjectSize><RequestId>5ZZ9N5FTB165A1S3</RequestId><HostId>MvO6xQoWrgQ2lvmK/NsFt1UhKfoodoY9T1JfHZuMzpy8htWoYd8L5Sg91hdBX/+VHWhFsPZV1kQ=</HostId></Error>
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 406, in hf_raise_for_status
response.raise_for_status()
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/models.py", line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 416 Client Error: Requested Range Not Satisfiable for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/a6/53/a653c4969e9fa79e6aa428322beb6ebc4717d36146bd404e5da758ffaafaf0d2/1a74a298652c9490413de3a972bd214f64d2e4dd67b28f75ce99aefe6cb730fb?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250402%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250402T210137Z&X-Amz-Expires=3600&X-Amz-Signature=6332633377deef778ec50b4b2e11cb1cc8c18e63adec130143d1905951263bb7&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27landsat8_12063_0-9_test.zarr.tar%3B%20filename%3D%22landsat8_12063_0-9_test.zarr.tar%22%3B&response-content-type=application%2Fx-tar&x-id=GetObject
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1608, in _prepare_split_single
for key, record in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 687, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 122, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 44, in _get_pipeline_from_tar
current_example[field_name.lower()] = f.read()
File "/usr/local/lib/python3.9/tarfile.py", line 688, in read
b = self.fileobj.read(length)
File "/usr/local/lib/python3.9/tarfile.py", line 525, in read
buf = self._read(size)
File "/usr/local/lib/python3.9/tarfile.py", line 533, in _read
return self.__read(size)
File "/usr/local/lib/python3.9/tarfile.py", line 563, in __read
buf = self.fileobj.read(self.bufsize)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 827, in read_with_retries
out = read(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 806, in track_read
out = f_read(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 1013, in read
return super().read(length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1846, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 976, in _fetch_range
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 473, in hf_raise_for_status
raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: 416 Client Error: Requested Range Not Satisfiable for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/a6/53/a653c4969e9fa79e6aa428322beb6ebc4717d36146bd404e5da758ffaafaf0d2/1a74a298652c9490413de3a972bd214f64d2e4dd67b28f75ce99aefe6cb730fb?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250402%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250402T210137Z&X-Amz-Expires=3600&X-Amz-Signature=6332633377deef778ec50b4b2e11cb1cc8c18e63adec130143d1905951263bb7&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27landsat8_12063_0-9_test.zarr.tar%3B%20filename%3D%22landsat8_12063_0-9_test.zarr.tar%22%3B&response-content-type=application%2Fx-tar&x-id=GetObject. Requested range: bytes=448000000-453243391. Content-Range: None.
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidRange</Code><Message>The requested range is not satisfiable</Message><RangeRequested>bytes=448000000-453243391</RangeRequested><ActualObjectSize>448000000</ActualObjectSize><RequestId>5ZZ9N5FTB165A1S3</RequestId><HostId>MvO6xQoWrgQ2lvmK/NsFt1UhKfoodoY9T1JfHZuMzpy8htWoYd8L5Sg91hdBX/+VHWhFsPZV1kQ=</HostId></Error>
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/parquet_and_info.py", line 1433, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1487, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1644, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
0.0
unknown | 0.1
unknown | 1.0
unknown | 1.1
unknown | __key__
string | __url__
string |
|---|---|---|---|---|---|
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"AgGUAgDiBAAAAAQAZaQDABgAAADl8QIAyfECACi1L/2gAAAEAAAAEBbZdZHkQqgwul8FZ3sBRGCg91HHUhEz3js289xjt3ioL3f(...TRUNCATED) | "AgGUAgDiBAAAAAQAGJoDABgAAABE6AIAKOgCACi1L/2gAAAEAAAAEJuv0l0XcHjKb7Q9bvEDdm1ngSvr/fxfmnThw4EH0Haj/6w(...TRUNCATED) | "AgGUAgDiBAAAAAQAepIDABgAAACV6AIAeegCACi1L/2gAAAEAAAAEAVtoKea7IuhVf44phzw93khqb+phY7FFumL/UrsrH4hXaP(...TRUNCATED) | "AgGUAgDiBAAAAAQAfqIDABgAAABO7gIAMu4CACi1L/2gAAAEAAAAEJTXQ7pyqAZiv6l2wqws4EGGdQ4BWM0+Wqckq+qQnki5bMW(...TRUNCATED) | landsat8_12063_0-9.zarr/0/B02/1 | "hf://datasets/torchgeo/CropClimateX@efa83f02a467e9c82dc7fa96eb91e97f96752c2e/landsat8/landsat8_1206(...TRUNCATED) |
"AgGUAgDiBAAAAAQArKoDABgAAABZAwMAPQMDACi1L/2gAAAEAAAAEF5cc1MgVtmPmRtw0RGgmGTKL/zPeiqPLUzEr/d+xB1sM8x(...TRUNCATED) | "AgGUAgDiBAAAAAQAvqkDABgAAAAO/gIA8v0CACi1L/2gAAAEAAAAEK2NFaYlZ0HalI/x8LLjVNUuejUdK6ESeRUrkT0NZoHej8U(...TRUNCATED) | "AgGUAgDiBAAAAAQA0rUDABgAAACtDAMAkQwDACi1L/2gAAAEAAAAEIJ2UA+BY+FYyX3ytqCNQXXu+hb7mye3FJFuvygioROMgQm(...TRUNCATED) | "AgGUAgDiBAAAAAQA3qwDABgAAACE/gIAaP4CACi1L/2gAAAEAAAAEHHFdwmuQUoDCdwiVRaUaSC7ncJ3Z8V1D4JH4Dxgf19HpV+(...TRUNCATED) | landsat8_12063_0-9.zarr/0/B02/10 | "hf://datasets/torchgeo/CropClimateX@efa83f02a467e9c82dc7fa96eb91e97f96752c2e/landsat8/landsat8_1206(...TRUNCATED) |
"AgGUAgDiBAAAAAQAezMDABgAAADSpAIAtqQCACi1L/2gAAAEAOTiDJzCGFzCrAYIK2gwSMbvcy9Qn/6cDpun0SvXiFEov/uRw4v(...TRUNCATED) | "AgGUAgDiBAAAAAQAS+sDABgAAACVWgMAeVoDACi1L/2gAAAEAAAAEDFt90OGrT0GJ+5LRf/+/7+Yr/Iukdf6Z0ZOhFab1ieDOjW(...TRUNCATED) | "AgGUAgDiBAAAAAQAHKIDABgAAAA2FQMAGhUDACi1L/2gAAAEAGzGDoy7HCN4SRLExHfsKeDKyOvjeH/2u/T7pf3XjR9WjmmHcvv(...TRUNCATED) | "AgGUAgDiBAAAAAQA9+QDABgAAADWVAMAulQDACi1L/2gAAAEAAAAEFBSb50WFXvXf/IuFaBzycP/YbjzIJrqyDJ5asMOfgAyD7V(...TRUNCATED) | landsat8_12063_0-9.zarr/0/B02/11 | "hf://datasets/torchgeo/CropClimateX@efa83f02a467e9c82dc7fa96eb91e97f96752c2e/landsat8/landsat8_1206(...TRUNCATED) |
"AgGUAgDiBAAAAAQAYcQDABgAAADJFAMArRQDACi1L/2gAAAEAAAAEHMZG+vJZ/I28MNCHNQnGM4i/PQiEgdlIFE/ZaN4udyjqn4(...TRUNCATED) | "AgGUAgDiBAAAAAQAiMoDABgAAAD1FAMA2RQDACi1L/2gAAAEAAAAEHFkPIlqMEIEVFohTlW3hXt2vJF+aH6ApqrIMp9KYwBHdZF(...TRUNCATED) | "AgGUAgDiBAAAAAQAOMgDABgAAAB8FgMAYBYDACi1L/2gAAAEAAAAEM90AST8L+dzuiqqnbD0L3uvFtmHdgb8h3t3CEK+5d6KZVU(...TRUNCATED) | "AgGUAgDiBAAAAAQAPrUDABgAAACICAMAbAgDACi1L/2gAAAEAAAAELZJpLjklX46F7k8AnU40ruc3eQh6kqje40+Jy+BIoAsicB(...TRUNCATED) | landsat8_12063_0-9.zarr/0/B02/12 | "hf://datasets/torchgeo/CropClimateX@efa83f02a467e9c82dc7fa96eb91e97f96752c2e/landsat8/landsat8_1206(...TRUNCATED) |
"AgGUAgDiBAAAAAQATbgDABgAAABWNgMAOjYDACi1L/2gAAAEAAAAELmX630eeAlHL1ajGTZDd1k2G8qj5g/JYzqhPIuxcru4fmj(...TRUNCATED) | "AgGUAgDiBAAAAAQASrkDABgAAABHMgMAKzIDACi1L/2gAAAEAAAAEGpyHxVnYFDnyPx4n9UyC8qWJHU+LTpL+7eAvE4awriL9aR(...TRUNCATED) | "AgGUAgDiBAAAAAQAWp8DABgAAAAgGAMABBgDACi1L/2gAAAEAAAAENMz4y/FrHnFsdARJRHnvoewAPYS7CJpAHEzv1O3aTo27Zb(...TRUNCATED) | "AgGUAgDiBAAAAAQA4JUDABgAAABYBQMAPAUDACi1L/2gAAAEAAAAEPg503jdI7vLFc/8ieE7TTNP6jQl5LxIL7w39PreUSvnb8j(...TRUNCATED) | landsat8_12063_0-9.zarr/0/B02/13 | "hf://datasets/torchgeo/CropClimateX@efa83f02a467e9c82dc7fa96eb91e97f96752c2e/landsat8/landsat8_1206(...TRUNCATED) |
"AgGUAgDiBAAAAAQAQqUDABgAAABi9gIARvYCACi1L/2gAAAEAAAAELKwappVKDLN/hIeY3ngPxmPp9maKf5MqSifWBAb0oof7tQ(...TRUNCATED) | "AgGUAgDiBAAAAAQA47QDABgAAADc/QIAwP0CACi1L/2gAAAEAAAAEFLejAHwszIiDLGGm4J0uIzTIjGwQ6Yj2VQQGHXvOtpuzYm(...TRUNCATED) | "AgGUAgDiBAAAAAQAHo8DABgAAADH1gIAq9YCACi1L/2gAAAEAAAAEFnYyvB8RKi7tnvYw6xUG1jN0ExCoboktyDbaqNV/+s/CTu(...TRUNCATED) | "AgGUAgDiBAAAAAQAdKEDABgAAADw6wIA1OsCACi1L/2gAAAEAAAAEODlS84CFe+YPx+g7iAqsXiS5gibC4i8EPV453ne0WfdF4P(...TRUNCATED) | landsat8_12063_0-9.zarr/0/B02/14 | "hf://datasets/torchgeo/CropClimateX@efa83f02a467e9c82dc7fa96eb91e97f96752c2e/landsat8/landsat8_1206(...TRUNCATED) |
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End of preview.
CropClimateX
- Repository: TBA
- Paper: TBA
The database includes 15,500 small data cubes (i.e., minicubes), each with a spatial coverage of 12x12km, spanning 1527 counties in the US. The minicubes comprise data from multiple sensors (Sentinel-2, Landsat-8, MODIS), weather and extreme events (Daymet, heat/cold waves, and U.S. drought monitor maps), as well as soil and terrain features, making it suitable for various agricultural monitoring tasks. It integrates crop- and climate-related tasks within a single, cohesive dataset.
In detail, the following data sources are provided:
Uses
The dataset allows various tasks, including yield prediction, phenology mapping, crop condition forecasting, extreme weather event detection/prediction, sensor fusion, pretraining on crop areas, and multi-task learning.
Dataset Structure
The data is stored in ZARR format in 12x12km minicubes, allowing compression, grouping, and automatically applying offsets and scaling when loading with Xarray. Xarray is recommended for reading the files to utilize the full functionality. Each modality is located in a different folder. The folder contains the grouped minicubes of each county.
The following counties are covered by the dataset (a) all data except Sentinel-2 (b) only Sentinel-2:
Dataset Creation
The minicube locations were optimized using a genetic and a sliding grid algorithm (details are provided in the paper). The following data providers were used to gather the data: Planetary Computer, Google Earth Engine, SentinelHub, and Copernicus Data Space Ecosystem. The APIs were accessed with terragon.
Citation
If you use this dataset, please consider citing: TBA
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