Datasets:

remote-sensing-ense3-grenoble-inp
/

forest-plot-analysis

License:

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Split (1)

train

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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 ({'row', 'set', 'col', 'label'}) and 9 missing columns ({'N', 'E', 'radius', 'O', 'DBH', 'S', 'depth', 'x', 'y'}).

This happened while the csv dataset builder was generating data using

hf://datasets/remote-sensing-ense3-grenoble-inp/forest-plot-analysis/data/gt/df_pixel.csv (at revision 10a3f38b2a88309073bd9e097a24d3e3bb8f5a1d)

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
              plotid: string
              treeid: string
              specie: string
              family: string
              label: string
              height: double
              area: double
              row: int64
              col: int64
              set: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1351
              to
              {'plotid': Value(dtype='string', id=None), 'family': Value(dtype='string', id=None), 'treeid': Value(dtype='string', id=None), 'specie': Value(dtype='string', id=None), 'x': Value(dtype='float64', id=None), 'y': Value(dtype='float64', id=None), 'area': Value(dtype='float64', id=None), 'radius': Value(dtype='float64', id=None), 'N': Value(dtype='float64', id=None), 'S': Value(dtype='float64', id=None), 'E': Value(dtype='float64', id=None), 'O': Value(dtype='float64', id=None), 'height': Value(dtype='float64', id=None), 'depth': Value(dtype='float64', id=None), 'DBH': 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 4 new columns ({'row', 'set', 'col', 'label'}) and 9 missing columns ({'N', 'E', 'radius', 'O', 'DBH', 'S', 'depth', 'x', 'y'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/remote-sensing-ense3-grenoble-inp/forest-plot-analysis/data/gt/df_pixel.csv (at revision 10a3f38b2a88309073bd9e097a24d3e3bb8f5a1d)
              
              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.

plotid string	family string	treeid string	specie string	x float64	y float64	area float64	radius float64	N float64	S float64	E float64	O float64	height float64	depth float64	DBH float64
1	CONI	52	PIAB	924,748.89544	6,445,819.020369	43.542474	3.722902	3.4	4.3	3.3	3.9	17	14	22.9
1	BROA	M1	FASY	924,746.374814	6,445,821.4467	31.942143	3.188652	0.7	7.6	4.3	0.6	13.7	11.6	19
1	CONI	M2	PIAB	924,745.030836	6,445,817.403015	10.445796	1.823458	1.2	2.6	1.8	1.7	7.8	6.2	14.8
1	BROA	14	BEPE	924,756.474685	6,445,815.776602	27.096237	2.936835	0	4.6	1.6	5.9	21.6	12.3	36.7
1	BROA	51	FASY	924,758.027845	6,445,810.508861	125.137489	6.311299	4	10.1	4	7.3	29.8	28.5	59.3
1	CONI	M3	ABAL	924,743.32528	6,445,814.577935	17.702875	2.373815	2.1	2.5	2.7	2.2	13.2	10.8	15.7
1	BROA	M4	FASY	924,744.461267	6,445,813.986068	8.36449	1.631717	0.8	6.3	1.2	0.3	10.1	8.9	11.7
1	BROA	M7	FASY	924,734.254573	6,445,815.152501	28.26648	2.999583	1.6	4.3	1.6	4.5	21.5	6	21.3
1	BROA	M10	FASY	924,733.042984	6,445,813.293884	51.930527	4.06571	1.1	4.7	3.8	7.6	18.9	10.2	43.7
1	BROA	M25	FASY	924,728.923271	6,445,810.640967	86.707957	5.25357	1.3	10.2	1.6	8	16.2	9.9	34.5
1	CONI	M28	ABAL	924,736.018095	6,445,804.534187	14.522012	2.15	2.4	1.9	2.1	2.2	12.8	9.2	17.8
1	CONI	M29	PIAB	924,735.138994	6,445,803.559251	4.12334	1.145644	1.2	0.9	0.2	2.3	5.2	3	7.7
1	BROA	M30	BEPE	924,736.403718	6,445,801.599775	0	0	0	5	0	0	9.8	2.5	16.4
1	CONI	M31	PIAB	924,736.936606	6,445,801.762722	11.639601	1.924838	1.9	2	1.8	2	9.5	9.5	12.8
1	BROA	M32	FASY	924,739.197776	6,445,801.662492	6.644468	1.454304	0	4.7	1.8	0	9.3	4.8	9.5
1	CONI	M33	PIAB	924,740.759879	6,445,802.646275	5.921902	1.372953	0.8	1.8	1.1	1.8	8.1	5.1	11
1	BROA	M34	FASY	924,740.748778	6,445,802.116477	29.609511	3.070016	0.3	6.2	4.2	1.6	8.5	5.5	11.2
1	BROA	M35	BEPE	924,741.577175	6,445,802.354522	32.138493	3.198437	0.7	5.5	3.6	3	12.5	6.8	34.8
1	CONI	M38	PIAB	924,743.627758	6,445,804.660693	21.865485	2.638181	2.8	3	2.9	1.9	18.8	14.2	26.3
1	BROA	M39	BEPE	924,744.465694	6,445,805.585094	0	0	0	7.8	0	0	14.6	3.7	25
1	CONI	M40	PIAB	924,746.64759	6,445,804.510803	10.704977	1.845941	2.4	2.3	2.4	0.5	6.6	5.5	11.7
1	CONI	M37	PIAB	924,744.111521	6,445,798.919008	8.034623	1.599219	1.7	1.4	1.8	1.5	5.1	4.6	9.5
1	CONI	M41	PIAB	924,749.705017	6,445,814.983398	26.829201	2.922328	1.6	4	3.7	2.4	10.6	9.3	21.4
1	BROA	M42	COAV	924,752.3266	6,445,810.023537	19.642808	2.5005	1.6	2.5	2.1	4	3.1	1.6	10.3
1	BROA	M47	POTR	924,754.507545	6,445,801.600199	80.817471	5.071982	5.7	4.1	5.2	5.3	20.8	11	43.2
1	BROA	53	POTR	924,755.827974	6,445,802.638207	59.061942	4.335897	3.9	5.5	3.5	4.5	24.2	8.9	42.5
1	BROA	M48	COAV	924,756.722899	6,445,804.054357	5.717699	1.349074	0	5.6	0	1.3	3.7	1.7	8.2
1	BROA	M50	COAV	924,761.185306	6,445,804.4202	15.550884	2.22486	1.3	2.3	1.8	3.7	4.6	1.5	8.2
1	BROA	27	FASY	924,757.813998	6,445,821.008491	4.830199	1.23996	0.3	3.8	0.3	1.2	14.2	7.8	14.7
1	BROA	22	FASY	924,755.14884	6,445,821.728548	3.926991	1.118034	0	5	0.6	0.4	7.9	4.3	12
1	BROA	23	FASY	924,755.693765	6,445,823.52432	57.30265	4.270831	2	7.6	1.5	6.1	22.4	19.3	54.5
1	BROA	26	FASY	924,756.983736	6,445,822.838141	22.061834	2.65	0.7	4.6	3.1	2.2	23.1	19.1	40.3
1	BROA	44	FASY	924,760.977421	6,445,822.613446	77.903644	4.979709	4.2	6.7	5.9	3.2	18.2	3.4	33.6
1	BROA	42	FASY	924,766.226672	6,445,820.210863	41.563271	3.637307	2.4	6	2.8	3.5	26.5	11.4	39.9
1	BROA	25	FASY	924,756.296683	6,445,823.24009	3.817035	1.10227	0.7	2	0.8	1	10.9	9.4	9.8
1	BROA	M51	FASY	924,758.048705	6,445,824.266701	9.33053	1.723369	1.1	3.3	0.8	1.9	17	8	20.7
1	BROA	31	FASY	924,766.848773	6,445,817.036023	27.473228	2.957195	0	10.6	0.8	2.5	17	10.7	24.4
1	BROA	34	FASY	924,769.338365	6,445,815.256536	29.358183	3.056959	0.4	8.5	1.1	3.1	29.8	24	51.5
1	BROA	35	FASY	924,767.427686	6,445,814.95744	1.178097	0.612372	0	1.5	0.3	0.7	7.1	3.1	12.5
1	BROA	29	FASY	924,763.848576	6,445,815.66585	5.599889	1.335103	0.8	1.5	0.7	2.4	5.4	3.1	17
1	BROA	40	FASY	924,769.575325	6,445,819.6222	150.7022	6.926038	7.9	4.4	7.9	7.7	36.2	27	47.6
1	BROA	45	FASY	924,760.369283	6,445,825.63666	40.903536	3.608324	1.7	6.7	2.9	3.3	23.9	11.3	39.1
1	BROA	47	FASY	924,759.605253	6,445,826.967646	54.113933	4.150301	1.9	4.6	8	2.6	29.5	17.3	41.8
1	CONI	46	PIAB	924,760.423546	6,445,827.656586	38.201767	3.487119	4.2	3.4	3.8	2.6	22.6	20.1	37.8
1	BROA	48	FASY	924,756.235597	6,445,829.124795	105.227646	5.787487	10.3	5.1	4.1	4.6	31.4	26.9	50.4
1	BROA	49	FASY	924,755.359866	6,445,828.292333	40.777873	3.602777	3.4	8.4	2.4	2	26.2	14.2	41.9
1	BROA	M66	FASY	924,750.226856	6,445,830.835528	119.631848	6.170899	2.8	10	4.9	7	29.2	22.1	48.8
1	CONI	M68	PIAB	924,745.839286	6,445,823.794781	11.938052	1.949359	1.8	2	1.9	2.1	7.1	6.5	14.3
1	CONI	M69	PIAB	924,745.170145	6,445,827.739071	10.94845	1.866815	1.7	2.4	2.2	1.2	4.1	4.1	8.1
1	CONI	M70	PIAB	924,743.96811	6,445,826.968329	13.854424	2.1	1.8	2.4	2	2.2	5	4.5	9.8
1	BROA	M71	FASY	924,748.020942	6,445,831.589985	11.812388	1.939072	0	4.7	0.6	2.6	12.3	7.5	17.2
1	BROA	M72	FASY	924,747.504767	6,445,832.041954	17.365153	2.351064	0.4	6.3	0.5	2.8	7.3	4.2	9.3
1	CONI	M88	ABAL	924,741.209423	6,445,826.868611	0	0	0	2.5	0	0	5.1	0.6	8.3
1	CONI	M89	PIAB	924,740.447233	6,445,825.345019	13.524556	2.074849	2.5	1.7	2.6	1.5	12.5	8.8	18.5
1	CONI	M90	PIAB	924,739.64708	6,445,824.955881	4.696681	1.222702	0.8	1.5	0.6	2	5.4	2.6	7.5
1	CONI	M91	PIAB	924,739.297383	6,445,823.394437	5.961172	1.377498	1.1	2.2	0.6	1.7	7.6	5.8	13
1	CONI	M92	PIAB	924,740.605299	6,445,821.989879	14.074335	2.116601	1.2	2	4	1.6	18	12.9	23.6
1	CONI	M93	PIAB	924,751.911125	6,445,837.528881	5.93761	1.374773	1.2	1.6	1.3	1.4	3.4	2.9	7.5
1	CONI	M94	PIAB	924,752.033456	6,445,841.996647	10.33584	1.813836	2.4	2.3	0.8	2	9.1	6.3	13.2
1	CONI	M95	PIAB	924,754.371132	6,445,843.112131	26.420794	2.9	2.3	3.5	3.4	2.4	20.9	18.1	37
1	BROA	M98	FASY	924,764.05984	6,445,844.046985	11.443251	1.908533	3.1	0	0	4.7	9.4	2.1	11.7
1	CONI	M99	PIAB	924,769.308703	6,445,831.073945	124.658396	6.299206	6.3	6.5	7.4	5	35.4	33	84.5
1	CONI	M96	PIAB	924,755.279672	6,445,847.497048	9.008517	1.693369	1.6	2.1	1.5	1.6	6.4	6.4	9.9
1	BROA	M100	SOAU	924,775.586756	6,445,835.555993	9.424778	1.732051	0	4.8	1.7	0.8	7.9	2.7	10.2
1	CONI	M101	ABAL	924,779.728474	6,445,832.824382	9.008517	1.693369	1.5	1.6	1.5	2.2	7.1	5.7	9.6
1	BROA	M102	FASY	924,777.939686	6,445,828.956673	36.898006	3.427098	1.8	4	5.4	2.7	13.6	8.6	13.9
1	CONI	M103	PIAB	924,779.800522	6,445,826.692909	18.08772	2.399479	2.4	2.3	2.5	2.4	14.7	11.5	19.2
1	BROA	M104	SOAU	924,776.462795	6,445,825.599026	36.898006	3.427098	1.8	4	5.4	2.7	13.8	4.3	14.7
1	BROA	M107	FASY	924,783.313484	6,445,818.443549	86.974993	5.261654	8.3	3	2.3	7.5	19.6	9.1	34.9
1	BROA	M108	FASY	924,785.556807	6,445,818.805689	37.322121	3.446738	3.1	4.1	2.1	4.5	26.7	13.6	25.6
1	CONI	M109	ABAL	924,787.764772	6,445,824.357002	15.079645	2.19089	2.5	2.3	1.8	2.2	9.3	9.3	12.8
1	CONI	M111	PIAB	924,784.611953	6,445,807.953791	78.414153	4.995998	5	5.4	4.2	5.4	37.4	27.8	74.6
1	BROA	M112	FASY	924,781.93262	6,445,806.852627	56.627208	4.245586	3.1	3.9	1.2	9.1	25.7	18.7	33.2
1	CONI	M113	PIAB	924,779.501547	6,445,811.822875	65.423667	4.563442	4.4	5.4	4.4	4.1	32.3	26.7	64.7
1	BROA	M114	FASY	924,778.321389	6,445,811.621104	37.879753	3.472391	0	5.3	0.5	8.6	22.7	22.7	36.5
1	BROA	54	BEPE	924,773.605545	6,445,807.123161	40.605085	3.595136	3	2.5	1	8.4	24.9	12.6	42.6
1	BROA	M115	COAV	924,773.905153	6,445,807.128039	8.050331	1.600781	0	2.5	0	4.1	5.8	3.2	8.3
1	CONI	M116	ABAL	924,779.035329	6,445,798.988371	12.252211	1.974842	1.9	2.1	1.7	2.2	10.6	9.2	11.8
1	BROA	M117	COAV	924,772.166736	6,445,803.572529	13.186835	2.04878	0.3	2	0.4	6.9	5.9	2.9	8.7
1	BROA	M119	COAV	924,769.786058	6,445,806.28404	19.462166	2.488976	2	2.2	0	5.9	2	0.4	7.8
1	BROA	M120	BEPE	924,769.644303	6,445,800.529506	6.047566	1.387444	0	1.1	0	7	14.5	6	20.9
1	BROA	M121	FREX	924,765.107681	6,445,798.108053	37.699112	3.464102	0.9	5.5	0.8	6.7	16.6	11.7	26.2
1	CONI	M122	PIAB	924,773.750649	6,445,794.539739	161.909831	7.178962	7.1	6.2	6.3	9.2	37	38	104.5
1	CONI	M123	PIAB	924,766.022771	6,445,786.853015	81.21017	5.08429	6.5	4.5	7	2.4	38.4	36.1	79.5
1	CONI	M124	PIAB	924,763.772826	6,445,783.857194	72.099551	4.790616	4.7	4.3	4.8	5.4	33.2	30.4	75.3
1	CONI	M125	ABAL	924,762.111394	6,445,788.021598	13.508848	2.073644	2.3	1.7	2	2.3	9	7.5	10.1
1	BROA	M126	COAV	924,757.886908	6,445,788.333621	35.688493	3.37046	3.4	3.7	2.6	3.8	6.6	3.3	7.9
1	CONI	M128	ABAL	924,753.909064	6,445,790.679286	8.812167	1.674813	1.7	1.6	1.6	1.8	7.5	6.5	10.7
1	CONI	M130	PIAB	924,745.286578	6,445,796.140582	11.545353	1.917029	1.2	2.3	2.2	2	7.5	6.5	14
1	CONI	M131	PIAB	924,738.622078	6,445,806.787563	12.88053	2.024846	2.1	1.9	1.7	2.4	4.8	3.8	8.3
1	BROA	M132	FASY	924,740.319482	6,445,811.16205	15.197454	2.199432	0.7	3.6	3.1	1.4	5.2	2.4	8.2
1	CONI	M61	PIAB	924,772.429951	6,445,826.273784	60.53849	4.389761	3	5.2	5.5	3.9	35.8	29.9	65.6
1b	CONI	138	ABAL	924,818.580472	6,445,789.181965	53.874387	4.141105	5.37	2.7	3	5.5	28.4	23.6	60.4
1b	CONI	139	ABAL	924,828.873711	6,445,788.956971	26.158785	2.885585	2.22	4.1	2.38	2.89	29.4	13.5	51.2
1b	CONI	140	ABAL	924,833.787918	6,445,790.898802	20.022941	2.524579	1.37	4.7	1.7	2.5	21	17	35
1b	CONI	141	PIAB	924,824.630431	6,445,785.652274	80.352201	5.057361	4.15	6.04	3.84	6.2	26.6	19.4	58.7
1b	BROA	142	FASY	924,827.077707	6,445,788.821105	24.626945	2.799821	3.53	2.5	0	5.2	21.4	12.7	23.2
1b	CONI	143	PIAB	924,829.811707	6,445,783.355136	15.721158	2.237007	2.92	0.9	1.54	3.7	17	9.8	29.2
1b	CONI	144	PIAB	924,830.087782	6,445,780.532466	30.597542	3.120817	2.1	4.35	0.34	5.7	21.2	18.2	40.2
1b	BROA	145	BEsp	924,830.503713	6,445,779.495793	21.078516	2.59027	1.11	3.15	0	6.3	15.2	4.5	29.6

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Description

This dataset contains the information related to seven forest field plots located in the Belledonne massif, Northern Alps, France.

The data is separated into:

LIDAR: a collection of 24 features computed from a 3D point cloud;
Hyperspectral imagery, collected with the Hysper VNIR 1600 sensor;
Ground truth: An annotation of the 13 tree species;

Further details are given in the report contained in the repository.

Credits

If you use this data, please cite:

Eduardo Tusa, Mauro Dalla Mura, Aneline Dolet,
Jean-Matthieu Monnet, Jean-Baptiste Barré, and Jocelyn
Chanussot, "Remote Sensing Project Forest Plots analysis," April 2020

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