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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 4 new columns ({'partial_request_count', 'fulfilled_request_count', 'unfilled_request_count', 'request_count'}) and 4 missing columns ({'species', 'priority', 'outcome', 'submitted_at'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SOTAagi2030/Canopy-2027-Sapling-Allocation/reports/district-summary.csv (at revision eb39e1b08c817ea4c9861ab25f823633d66c9e3f), ['hf://datasets/SOTAagi2030/Canopy-2027-Sapling-Allocation@eb39e1b08c817ea4c9861ab25f823633d66c9e3f/data/request-allocations.csv', 'hf://datasets/SOTAagi2030/Canopy-2027-Sapling-Allocation@eb39e1b08c817ea4c9861ab25f823633d66c9e3f/reports/district-summary.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 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, 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 795, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
district_name: string
request_count: int64
requested_quantity: int64
allocated_quantity: int64
unmet_quantity: int64
fulfilled_request_count: int64
partial_request_count: int64
unfilled_request_count: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1340
to
{'district_name': Value('string'), 'species': Value('string'), 'priority': Value('string'), 'submitted_at': Value('string'), 'requested_quantity': Value('int64'), 'allocated_quantity': Value('int64'), 'unmet_quantity': Value('int64'), 'outcome': 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 1694, 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 1850, 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 4 new columns ({'partial_request_count', 'fulfilled_request_count', 'unfilled_request_count', 'request_count'}) and 4 missing columns ({'species', 'priority', 'outcome', 'submitted_at'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SOTAagi2030/Canopy-2027-Sapling-Allocation/reports/district-summary.csv (at revision eb39e1b08c817ea4c9861ab25f823633d66c9e3f), ['hf://datasets/SOTAagi2030/Canopy-2027-Sapling-Allocation@eb39e1b08c817ea4c9861ab25f823633d66c9e3f/data/request-allocations.csv', 'hf://datasets/SOTAagi2030/Canopy-2027-Sapling-Allocation@eb39e1b08c817ea4c9861ab25f823633d66c9e3f/reports/district-summary.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.
district_name string | species string | priority string | submitted_at string | requested_quantity int64 | allocated_quantity int64 | unmet_quantity int64 | outcome string |
|---|---|---|---|---|---|---|---|
West Terrace | maple | emergency | 2027-02-10T08:00:00Z | 3 | 3 | 0 | fulfilled |
North Quay | maple | emergency | 2027-02-10T09:00:00Z | 5 | 2 | 3 | partial |
East Market | maple | routine | 2027-02-11T10:00:00Z | 4 | 2 | 2 | partial |
East Market | oak | emergency | 2027-02-12T12:00:00Z | 5 | 2 | 3 | partial |
North Quay | oak | routine | 2027-02-09T11:00:00Z | 3 | 2 | 1 | partial |
West Terrace | oak | routine | 2027-02-10T14:00:00Z | 2 | 2 | 0 | fulfilled |
West Terrace | pine | restoration | 2027-02-15T17:00:00Z | 2 | 1 | 1 | partial |
East Market | null | null | null | 9 | 4 | 5 | null |
North Quay | null | null | null | 8 | 4 | 4 | null |
West Terrace | null | null | null | 7 | 6 | 1 | null |
Canopy 2027 Sapling Allocation
This release documents the deterministic allocation of pooled spring saplings without publishing internal district codes or request identifiers.
Release facts
- Release date: 2027-03-01
- Participating districts: 3
- Requests considered: 7
- Saplings requested: 24
- Saplings allocated: 14
- Saplings unmet: 10
Allocation uses priority queues and repeated two-sapling tranches within each species.
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