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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 1 new columns ({'shbcvr'}) and 7 missing columns ({'Timing', 'TPH_SZ4', 'TPH_SZ2', 'TPHsum_GT25', 'TPH_SZ3', 'TPH_SZ1', 'LiveTreeBiomass'}).
This happened while the csv dataset builder was generating data using
hf://datasets/h0d4r1/FRAMES_ForestStructureTreeRingWidth/Shrub_post_7yr.csv (at revision 389e35be4fab4388dba6d701ab552f78c12222b0)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Treatment: string
Unit: int64
Plot: int64
shbcvr: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 702
to
{'Timing': Value(dtype='string', id=None), 'Treatment': Value(dtype='string', id=None), 'Unit': Value(dtype='int64', id=None), 'Plot': Value(dtype='int64', id=None), 'TPH_SZ1': Value(dtype='int64', id=None), 'TPH_SZ2': Value(dtype='int64', id=None), 'TPH_SZ3': Value(dtype='int64', id=None), 'TPH_SZ4': Value(dtype='int64', id=None), 'TPHsum_GT25': Value(dtype='int64', id=None), 'LiveTreeBiomass': Value(dtype='float64', id=None)}
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 1438, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 1 new columns ({'shbcvr'}) and 7 missing columns ({'Timing', 'TPH_SZ4', 'TPH_SZ2', 'TPHsum_GT25', 'TPH_SZ3', 'TPH_SZ1', 'LiveTreeBiomass'}).
This happened while the csv dataset builder was generating data using
hf://datasets/h0d4r1/FRAMES_ForestStructureTreeRingWidth/Shrub_post_7yr.csv (at revision 389e35be4fab4388dba6d701ab552f78c12222b0)
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.
Timing string | Treatment string | Unit int64 | Plot int64 | TPH_SZ1 int64 | TPH_SZ2 int64 | TPH_SZ3 int64 | TPH_SZ4 int64 | TPHsum_GT25 int64 | LiveTreeBiomass float64 |
|---|---|---|---|---|---|---|---|---|---|
Post1 | cont | 40 | 2 | 568 | 148 | 124 | 0 | 272 | 295.5 |
Post7 | cont | 40 | 2 | 568 | 173 | 99 | 0 | 272 | 326 |
Pre | cont | 40 | 2 | 568 | 198 | 74 | 0 | 272 | 271.4 |
Post1 | cont | 40 | 3 | 1,927 | 49 | 74 | 49 | 173 | 385.4 |
Post7 | cont | 40 | 3 | 1,680 | 25 | 99 | 49 | 173 | 455.1 |
Pre | cont | 40 | 3 | 2,175 | 49 | 99 | 25 | 173 | 380.2 |
Post1 | cont | 40 | 5 | 494 | 198 | 74 | 25 | 297 | 391.5 |
Post7 | cont | 40 | 5 | 741 | 148 | 99 | 25 | 272 | 454.3 |
Pre | cont | 40 | 5 | 519 | 198 | 74 | 25 | 297 | 377.5 |
Post1 | cont | 40 | 7 | 4,349 | 222 | 0 | 25 | 247 | 215.8 |
Post7 | cont | 40 | 7 | 2,619 | 198 | 25 | 25 | 247 | 246.9 |
Pre | cont | 40 | 7 | 3,608 | 222 | 0 | 25 | 247 | 211.8 |
Post1 | cont | 40 | 12 | 1,656 | 222 | 74 | 0 | 297 | 369.2 |
Post7 | cont | 40 | 12 | 642 | 173 | 99 | 0 | 272 | 472.8 |
Pre | cont | 40 | 12 | 1,680 | 198 | 74 | 0 | 272 | 355 |
Post1 | cont | 40 | 101 | 1,334 | 148 | 49 | 25 | 222 | 506.8 |
Post7 | cont | 40 | 101 | 1,310 | 148 | 49 | 25 | 222 | 595.6 |
Pre | cont | 40 | 101 | 1,359 | 148 | 49 | 25 | 222 | 497.2 |
Post1 | cont | 40 | 103 | 247 | 124 | 49 | 74 | 247 | 552.1 |
Post7 | cont | 40 | 103 | 173 | 124 | 49 | 74 | 247 | 645.1 |
Pre | cont | 40 | 103 | 297 | 124 | 49 | 74 | 247 | 551.9 |
Post1 | cont | 40 | 104 | 642 | 198 | 99 | 25 | 321 | 453.7 |
Post7 | cont | 40 | 104 | 395 | 148 | 74 | 49 | 272 | 505.8 |
Pre | cont | 40 | 104 | 420 | 198 | 74 | 25 | 297 | 442.2 |
Post1 | cont | 40 | 105 | 74 | 247 | 148 | 49 | 445 | 750 |
Post7 | cont | 40 | 105 | 74 | 222 | 124 | 74 | 420 | 809 |
Pre | cont | 40 | 105 | 346 | 247 | 148 | 49 | 445 | 716.8 |
Post1 | cont | 40 | 106 | 3,410 | 198 | 74 | 25 | 297 | 302 |
Post7 | cont | 40 | 106 | 3,410 | 124 | 99 | 25 | 247 | 374.4 |
Pre | cont | 40 | 106 | 1,458 | 198 | 74 | 25 | 297 | 302.5 |
Post1 | cont | 40 | 107 | 865 | 222 | 74 | 0 | 297 | 243.6 |
Post7 | cont | 40 | 107 | 272 | 198 | 124 | 0 | 321 | 300.8 |
Pre | cont | 40 | 107 | 1,161 | 222 | 74 | 0 | 297 | 240.4 |
Post1 | cont | 40 | 108 | 2,941 | 49 | 49 | 0 | 99 | 101.4 |
Post7 | cont | 40 | 108 | 1,211 | 49 | 49 | 0 | 99 | 128.4 |
Pre | cont | 40 | 108 | 2,471 | 49 | 25 | 0 | 74 | 98.4 |
Post1 | cont | 40 | 109 | 1,359 | 148 | 25 | 99 | 272 | 686.6 |
Post7 | cont | 40 | 109 | 99 | 99 | 0 | 124 | 222 | 751.2 |
Pre | cont | 40 | 109 | 667 | 148 | 49 | 74 | 272 | 670.8 |
Post1 | cont | 40 | 110 | 593 | 99 | 49 | 99 | 247 | 853.2 |
Post7 | cont | 40 | 110 | 469 | 74 | 49 | 99 | 222 | 954.9 |
Pre | cont | 40 | 110 | 642 | 99 | 49 | 99 | 247 | 864.2 |
Post1 | cont | 40 | 111 | 766 | 99 | 74 | 49 | 222 | 382.5 |
Post7 | cont | 40 | 111 | 741 | 99 | 74 | 49 | 222 | 424.6 |
Pre | cont | 40 | 111 | 519 | 99 | 99 | 25 | 222 | 374.9 |
Post1 | cont | 40 | 112 | 5,980 | 74 | 74 | 25 | 173 | 238.1 |
Post7 | cont | 40 | 112 | 1,779 | 49 | 74 | 25 | 148 | 266.5 |
Pre | cont | 40 | 112 | 7,957 | 49 | 99 | 25 | 173 | 250.9 |
Post1 | cont | 40 | 113 | 99 | 173 | 173 | 25 | 371 | 750.4 |
Post7 | cont | 40 | 113 | 74 | 173 | 148 | 49 | 371 | 847.9 |
Pre | cont | 40 | 113 | 99 | 173 | 173 | 25 | 371 | 717.1 |
Post1 | cont | 40 | 114 | 9,019 | 148 | 49 | 0 | 198 | 154.8 |
Post7 | cont | 40 | 114 | 2,570 | 124 | 74 | 25 | 222 | 226.7 |
Pre | cont | 40 | 114 | 6,054 | 148 | 49 | 0 | 198 | 147.6 |
Post1 | cont | 40 | 115 | 2,397 | 247 | 74 | 0 | 321 | 441.8 |
Post7 | cont | 40 | 115 | 124 | 247 | 99 | 0 | 346 | 516.7 |
Pre | cont | 40 | 115 | 1,433 | 222 | 74 | 0 | 297 | 425.2 |
Post1 | cont | 40 | 116 | 2,842 | 395 | 25 | 0 | 420 | 418.3 |
Post7 | cont | 40 | 116 | 371 | 321 | 49 | 0 | 371 | 457.4 |
Pre | cont | 40 | 116 | 2,595 | 395 | 25 | 0 | 420 | 365.8 |
Post1 | fire | 60 | 21 | 74 | 173 | 25 | 25 | 222 | 329.2 |
Post7 | fire | 60 | 21 | 74 | 74 | 25 | 49 | 148 | 333.8 |
Pre | fire | 60 | 21 | 692 | 148 | 25 | 25 | 198 | 349 |
Post1 | fire | 60 | 27 | 25 | 74 | 74 | 0 | 148 | 112.8 |
Post7 | fire | 60 | 27 | 25 | 25 | 99 | 0 | 124 | 124 |
Pre | fire | 60 | 27 | 1,013 | 74 | 74 | 0 | 148 | 105.2 |
Post1 | fire | 60 | 101 | 618 | 222 | 49 | 0 | 272 | 141.5 |
Post7 | fire | 60 | 101 | 568 | 222 | 49 | 0 | 272 | 172.9 |
Pre | fire | 60 | 101 | 890 | 198 | 49 | 0 | 247 | 137.2 |
Post1 | fire | 60 | 102 | 99 | 247 | 25 | 49 | 321 | 450.1 |
Post7 | fire | 60 | 102 | 2,002 | 198 | 0 | 25 | 222 | 258.9 |
Pre | fire | 60 | 102 | 494 | 222 | 25 | 49 | 297 | 439.4 |
Post1 | fire | 60 | 103 | 99 | 124 | 99 | 0 | 222 | 247.8 |
Post7 | fire | 60 | 103 | 25 | 99 | 74 | 25 | 198 | 225.7 |
Pre | fire | 60 | 103 | 865 | 124 | 99 | 0 | 222 | 248.5 |
Post1 | fire | 60 | 104 | 148 | 74 | 74 | 0 | 148 | 136 |
Post7 | fire | 60 | 104 | 99 | 49 | 99 | 0 | 148 | 190.2 |
Pre | fire | 60 | 104 | 148 | 99 | 49 | 0 | 148 | 127.3 |
Post1 | fire | 60 | 105 | 99 | 222 | 49 | 0 | 272 | 214.8 |
Post7 | fire | 60 | 105 | 99 | 173 | 49 | 25 | 247 | 265.7 |
Pre | fire | 60 | 105 | 939 | 222 | 49 | 0 | 272 | 211 |
Post1 | fire | 60 | 106 | 198 | 198 | 74 | 0 | 272 | 256.1 |
Post7 | fire | 60 | 106 | 74 | 148 | 148 | 0 | 297 | 286 |
Pre | fire | 60 | 106 | 469 | 222 | 49 | 0 | 272 | 247.2 |
Post1 | fire | 60 | 107 | 3,089 | 99 | 0 | 25 | 124 | 117.2 |
Post7 | fire | 60 | 107 | 99 | 99 | 0 | 25 | 124 | 143.4 |
Pre | fire | 60 | 107 | 5,832 | 99 | 25 | 0 | 124 | 109.7 |
Post1 | fire | 60 | 108 | 25 | 74 | 25 | 0 | 99 | 114.5 |
Post7 | fire | 60 | 108 | 0 | 74 | 25 | 0 | 99 | 143.1 |
Pre | fire | 60 | 108 | 1,161 | 74 | 25 | 0 | 99 | 125 |
Post1 | fire | 60 | 109 | 25 | 99 | 99 | 25 | 222 | 385.8 |
Post7 | fire | 60 | 109 | 0 | 49 | 99 | 49 | 198 | 412.8 |
Pre | fire | 60 | 109 | 148 | 124 | 74 | 25 | 222 | 373.6 |
Post1 | fire | 60 | 111 | 49 | 173 | 49 | 0 | 222 | 237.4 |
Post7 | fire | 60 | 111 | 0 | 148 | 25 | 25 | 198 | 238.1 |
Pre | fire | 60 | 111 | 74 | 173 | 49 | 0 | 222 | 223.5 |
Post1 | fire | 60 | 112 | 25 | 99 | 99 | 0 | 198 | 206.5 |
Post7 | fire | 60 | 112 | 0 | 74 | 99 | 0 | 173 | 234.9 |
Pre | fire | 60 | 112 | 272 | 124 | 99 | 0 | 222 | 243.4 |
Post1 | fire | 60 | 113 | 25 | 0 | 99 | 25 | 124 | 236.9 |
Publication Details Title:Forest structure and tree ring widths from the Fire and Fire Surrogate Study - Blodgett Forest SiteAuthor(s):Collins, Brandon M.; Das, Adrian J.; Battles, John J.; Fry, Danny L.; Krasnow, Kevin D.; Stephens, Scott L.Publication Year:2014How to Cite:These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product: Collins, Brandon M.; Das, Adrian J.; Battles, John J.; Fry, Danny L.; Krasnow, Kevin D.; Stephens, Scott L. 2014. Forest structure and tree ring widths from the Fire and Fire Surrogate Study - Blodgett Forest Site. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0023
Abstract:This data publication contains tree density and biomass, shrub cover, and tree ring widths measured at the Blodgett Forest Research Station in the northern Sierra Nevada in California between 2001 and 2009. Plot treatments included mechanical, fire, mechanical followed by prescribed fire, and a control. Both pre- and post-treatment data are included. Specifically, the following plot-level data are included: 1) pre- and post-treatment (3 and 7 year) live tree density (in four size classes); 2) pre- and post-treatment (3 and 7 year) live tree biomass; 3) post-treatment (7 year) shrub cover; and 4) post-treatment (7 year) large snag. Tree ring widths from increment cores collected at each plot are also included.
Keywords:biota; environment; Natural Resource Management and Use; Forest management; mixed-conifer forest; fuel treatments; prescribed fire; sugar pine; Pinus lambertiana; ponderosa pine; Pinus ponderosa; white fir; Abies concolor; incense-cedar; Calocedrus decurrens; Douglas-fir; Pseudotsuga menziesii; Joint Fire Science Program; JFSP; Sierra Nevada; California; Blodgett Forest SiteRelated publications:
Collins, Brandon M.; Das, Adrian J.; Battles, John J.; Fry, Danny L.; Krasnow, Kevin D.; Stephens, Scott L. 2014. Beyond reducing fire hazard: fuel treatment impacts on overstory tree survival. Ecological Applications. 24(8):1879–1886. https://doi.org/10.1890/14-0971.1
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