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MARS-Hyperspectral-EMIT-mini

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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 5 new columns ({'window_col_off', 'window_height', 'window_row_off', 'window_rotation', 'window_width'})

This happened while the csv dataset builder was generating data using

hf://datasets/previtus/MARS-Hyperspectral-EMIT-mini/train_t_mini10_tiled_withsavedrotations_128_64.csv (at revision 9bf186a5f0bbcb31b22382f64287ea355cb1970c), [/tmp/hf-datasets-cache/medium/datasets/74977981964688-config-parquet-and-info-previtus-MARS-Hyperspectr-20df39da/hub/datasets--previtus--MARS-Hyperspectral-EMIT-mini/snapshots/9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10.csv (origin=hf://datasets/previtus/MARS-Hyperspectral-EMIT-mini@9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10.csv), /tmp/hf-datasets-cache/medium/datasets/74977981964688-config-parquet-and-info-previtus-MARS-Hyperspectr-20df39da/hub/datasets--previtus--MARS-Hyperspectral-EMIT-mini/snapshots/9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10_tiled_withsavedrotations_128_64.csv (origin=hf://datasets/previtus/MARS-Hyperspectral-EMIT-mini@9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10_tiled_withsavedrotations_128_64.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/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              wind_u: double
              wind_v: double
              wind_speed: double
              percentage_clear: double
              tile: string
              isplume: bool
              ch4_fluxrate: double
              ch4_fluxrate_std: double
              satellite: string
              tile_date: string
              location_name: string
              sector: string
              country: string
              folder_name: string
              window_row_off: int64
              window_col_off: int64
              window_width: int64
              window_height: int64
              window_rotation: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2650
              to
              {'id': Value('string'), 'wind_u': Value('float64'), 'wind_v': Value('float64'), 'wind_speed': Value('float64'), 'percentage_clear': Value('float64'), 'tile': Value('string'), 'isplume': Value('bool'), 'ch4_fluxrate': Value('float64'), 'ch4_fluxrate_std': Value('float64'), 'satellite': Value('string'), 'tile_date': Value('string'), 'location_name': Value('string'), 'sector': Value('string'), 'country': Value('string'), 'folder_name': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, 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 5 new columns ({'window_col_off', 'window_height', 'window_row_off', 'window_rotation', 'window_width'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/previtus/MARS-Hyperspectral-EMIT-mini/train_t_mini10_tiled_withsavedrotations_128_64.csv (at revision 9bf186a5f0bbcb31b22382f64287ea355cb1970c), [/tmp/hf-datasets-cache/medium/datasets/74977981964688-config-parquet-and-info-previtus-MARS-Hyperspectr-20df39da/hub/datasets--previtus--MARS-Hyperspectral-EMIT-mini/snapshots/9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10.csv (origin=hf://datasets/previtus/MARS-Hyperspectral-EMIT-mini@9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10.csv), /tmp/hf-datasets-cache/medium/datasets/74977981964688-config-parquet-and-info-previtus-MARS-Hyperspectr-20df39da/hub/datasets--previtus--MARS-Hyperspectral-EMIT-mini/snapshots/9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10_tiled_withsavedrotations_128_64.csv (origin=hf://datasets/previtus/MARS-Hyperspectral-EMIT-mini@9bf186a5f0bbcb31b22382f64287ea355cb1970c/train_t_mini10_tiled_withsavedrotations_128_64.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.

id
string
wind_u
float64
wind_v
float64
wind_speed
float64
percentage_clear
float64
tile
string
isplume
bool
ch4_fluxrate
float64
ch4_fluxrate_std
float64
satellite
string
tile_date
string
location_name
string
sector
string
country
string
folder_name
string
EMIT_L1B_RAD_001_20231006T065521_2327905_035_Iq_19
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2023-10-06T06:55:21+00:00
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Oil and Gas
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EMIT_L1B_RAD_001_20230430T072853_2312005_008_EMIT_0064
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EMIT
2023-04-30T07:28:53+00:00
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EMIT_L1B_RAD_001_20230628T053236_2317904_026_EMIT_0174
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EMIT_L1B_RAD_001_20230620T193708_2317113_025
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EMIT_L1B_RAD_001_20230325T121118_2308408_042
true
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EMIT_L1B_RAD_001_20230417T095836_2310707_011
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EMIT
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EMIT_CH4_PlumeComplex-15
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EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15
EMIT_L1B_RAD_001_20231006T065521_2327905_035_Iq_19_r30_c45_rot85_w128_h128
6.479126
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6.479126
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7.584853
100
EMIT_L1B_RAD_001_20231006T065521_2327905_035
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EMIT
2023-10-06T06:55:21+00:00
Iq_19
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Iraq
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true
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EMIT_CH4_PlumeComplex-2139
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true
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Oil and Gas
United States of America
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Oil and Gas
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100
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Oil and Gas
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1.862452
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false
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EMIT_0264
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Iran (Islamic Republic of)
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1.862452
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EMIT_L1B_RAD_001_20230325T121118_2308408_042
true
530.048685
601.584282
EMIT
2023-03-25T12:11:18+00:00
EMIT_0264
unknown
Iran (Islamic Republic of)
EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264
EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264_r31_c89_rot9_w128_h128
-0.324631
1.862452
1.890532
99.898785
EMIT_L1B_RAD_001_20230325T121118_2308408_042
true
2,621.299326
1,421.642194
EMIT
2023-03-25T12:11:18+00:00
EMIT_0264
unknown
Iran (Islamic Republic of)
EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264
EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264_r109_c85_rot4_w128_h128
-0.324631
1.862452
1.890532
99.898785
EMIT_L1B_RAD_001_20230325T121118_2308408_042
true
4,152.461356
2,141.698305
EMIT
2023-03-25T12:11:18+00:00
EMIT_0264
unknown
Iran (Islamic Republic of)
EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584_r33_c25_rot45_w128_h128
-0.262726
1.445602
1.469283
100
EMIT_L1B_RAD_001_20231002T113808_2327508_041
false
0
0
EMIT
2023-10-02T11:38:08+00:00
EMIT_CH4_PlumeComplex-1584
Oil and Gas
Algeria
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584_r106_c28_rot50_w128_h128
-0.262726
1.445602
1.469283
100
EMIT_L1B_RAD_001_20231002T113808_2327508_041
false
0
0
EMIT
2023-10-02T11:38:08+00:00
EMIT_CH4_PlumeComplex-1584
Oil and Gas
Algeria
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584_r40_c95_rot25_w128_h128
-0.262726
1.445602
1.469283
100
EMIT_L1B_RAD_001_20231002T113808_2327508_041
false
0
0
EMIT
2023-10-02T11:38:08+00:00
EMIT_CH4_PlumeComplex-1584
Oil and Gas
Algeria
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584_r108_c92_rot45_w128_h128
-0.262726
1.445602
1.469283
100
EMIT_L1B_RAD_001_20231002T113808_2327508_041
false
0
0
EMIT
2023-10-02T11:38:08+00:00
EMIT_CH4_PlumeComplex-1584
Oil and Gas
Algeria
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15_r17_c18_rot38_w128_h128
-1.760117
-1.166053
2.111324
100
EMIT_L1B_RAD_001_20230417T095836_2310707_011
true
10,542.714284
5,311.380984
EMIT
2023-04-17T09:58:36+00:00
EMIT_CH4_PlumeComplex-15
Oil and Gas
Turkmenistan
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15_r92_c17_rot74_w128_h128
-1.760117
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2.111324
100
EMIT_L1B_RAD_001_20230417T095836_2310707_011
true
15,715.272074
7,924.080462
EMIT
2023-04-17T09:58:36+00:00
EMIT_CH4_PlumeComplex-15
Oil and Gas
Turkmenistan
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15_r48_c101_rot69_w128_h128
-1.760117
-1.166053
2.111324
100
EMIT_L1B_RAD_001_20230417T095836_2310707_011
true
12,146.93878
6,109.202548
EMIT
2023-04-17T09:58:36+00:00
EMIT_CH4_PlumeComplex-15
Oil and Gas
Turkmenistan
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15_r86_c89_rot34_w128_h128
-1.760117
-1.166053
2.111324
100
EMIT_L1B_RAD_001_20230417T095836_2310707_011
true
13,947.602571
6,995.930928
EMIT
2023-04-17T09:58:36+00:00
EMIT_CH4_PlumeComplex-15
Oil and Gas
Turkmenistan
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15

MARS-Hyperspectral-EMIT-mini

"Mini" version of the full dataset released at https://huggingface.co/datasets/UNEP-IMEO/MARS-Hyperspectral - this one contains only 9 of our 256x256 tiles and a csv linking these. It can be used in code demos for easy-to-setup demonstration of training runs (but naturally the models won't really work - for that they need to be trained on the full data).

Mini dataset is uploaded on this account to lower the congestion on the main UNEP-IMEO page.

For any updates please refer to the full repos!
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