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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 7 new columns ({'scene_time_beijing', 'station_name', 'valid_ratio', 'goci_chl_pixel', 'goci_chl_local', 'goci_frac_local', 'goci_flag_pixel'}) and 2 missing columns ({'error', 'file_name_utc'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ALH84001/bloomfield/chao/goci_station_features.csv (at revision 7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5), ['hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/goci/full/extract_failed_files.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/goci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/olci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/situ/chao.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/split_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/station_meta.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/goci/full/extract_failed_files.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/goci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/olci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/situ/hongze.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/split_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/station_meta.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/alignment_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/goci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/olci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/sentinel/tai_sentinel_grid/extract_failed_files.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/situ/tai.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/split_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/station_meta.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              scene_time_beijing: string
              station_name: string
              goci_chl_pixel: double
              goci_flag_pixel: int64
              goci_chl_local: double
              goci_frac_local: double
              valid_ratio: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1180
              to
              {'file_name_utc': Value('string'), 'error': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 7 new columns ({'scene_time_beijing', 'station_name', 'valid_ratio', 'goci_chl_pixel', 'goci_chl_local', 'goci_frac_local', 'goci_flag_pixel'}) and 2 missing columns ({'error', 'file_name_utc'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ALH84001/bloomfield/chao/goci_station_features.csv (at revision 7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5), ['hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/goci/full/extract_failed_files.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/goci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/olci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/situ/chao.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/split_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/chao/station_meta.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/goci/full/extract_failed_files.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/goci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/olci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/situ/hongze.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/split_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/hongze/station_meta.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/alignment_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/goci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/olci_station_features.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/sentinel/tai_sentinel_grid/extract_failed_files.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/situ/tai.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/split_index.csv', 'hf://datasets/ALH84001/bloomfield@7b4f0fe80c6cb76567b4db5b6ed10d75dbc3aeb5/tai/station_meta.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

file_name_utc
string
error
string
GK2B_GOCI2_L2_20210105_021530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 42933264, sblock->base_addr = 0, stored_eof = 100493625)
GK2B_GOCI2_L2_20210105_031530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 78844888, sblock->base_addr = 0, stored_eof = 100493625)
GK2B_GOCI2_L2_20210617_001530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 7970816, sblock->base_addr = 0, stored_eof = 10074578)
GK2B_GOCI2_L2_20210617_021530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 5521408, sblock->base_addr = 0, stored_eof = 10068122)
GK2B_GOCI2_L2_20210617_071530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 3563520, sblock->base_addr = 0, stored_eof = 10216409)
GK2B_GOCI2_L2_20210701_031530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 6455296, sblock->base_addr = 0, stored_eof = 13234069)
GK2B_GOCI2_L2_20210710_021530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 3997696, sblock->base_addr = 0, stored_eof = 12359179)
GK2B_GOCI2_L2_20211106_041530_LA_S010_Chl.nc
Unable to open file (file signature not found)
GK2B_GOCI2_L2_20220924_071530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 4849664, sblock->base_addr = 0, stored_eof = 11100335)
GK2B_GOCI2_L2_20230319_071530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 3121152, sblock->base_addr = 0, stored_eof = 10107596)
GK2B_GOCI2_L2_20240811_061530_LA_S010_Chl.nc
Unable to open file (truncated file: eof = 4980736, sblock->base_addr = 0, stored_eof = 11795022)
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End of preview.

BloomField

Whole-lake chlorophyll-a (Chl-a) field-reconstruction benchmark for the trusted-sparse × biased-dense regime: a handful of accurate in-situ stations paired with two independent, value-biased ocean-colour satellites (GOCI-II geostationary + Sentinel-3 OLCI), over three eutrophic lakes in eastern China (Tai, Chao, Hongze), 2021–2024.

Structure

Per-lake folder (tai/, chao/, hongze/):

  • goci_cache.npy, olci_cache.npy — gridded per-scene Chl-a rasters on a common ~300 m lake grid.
  • goci_scenes.json, olci_dates.json — scene → cache-row indices.
  • goci/, sentinel/ — raw per-scene rasters and lake-grid metadata (lake_meta*).
  • situ/ — in-situ station time series (chlorophyll-a, turbidity, and station coordinates only).
  • split_index.csv, alignment_index.csv — (scene, station) match-ups with temporal split.
  • goci_station_features.csv, olci_station_features.csv — station-pixel satellite values.
  • station_meta.csv, shp/ — station and lake geometry.

Splits are strictly temporal (train ≤2023, val 2024-H1, test 2024-H2).

Usage

The benchmark code consumes a lake via two environment variables:

export SCENE_DATA_ROOT=/path/to/bloomfield/tai
export SCENE_META=/path/to/bloomfield/tai/goci/full/lake_meta_taihu.npz

Download:

from huggingface_hub import snapshot_download
snapshot_download(repo_id="ALH84001/bloomfield", repo_type="dataset", local_dir="bloomfield")

Companion resources

The benchmark code and the small station × satellite match-up tables are released separately; their links are provided upon publication (anonymized during double-blind review).

License & sources

Released under CC-BY-4.0. Underlying Level-2 products (GOCI-II, Sentinel-3 OLCI) are public and re-downloadable; in-situ readings come from an automatic-analyser station network. See the paper's Dataset Datasheet appendix for full provenance, collection, and ethics.

Citation

BloomField: a benchmark for whole-lake chlorophyll-a field reconstruction. Under review.

Raw per-scene rasters (tarballs)

The *_cache.npy files already stack every scene for direct use by the code, so most users need only the caches. For provenance / custom re-gridding we also ship the individual per-scene .npz rasters as per-lake tarballs (Lake Tai GOCI scenes are cache-only):

  • <lake>/scenes_sentinel.tar, <lake>/scenes_goci.tar

Extract inside the lake folder to restore sentinel/scene_npz/ and goci/full/scene_npz/:

cd tai && tar -xf scenes_sentinel.tar
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