Datasets:

DaneshSelwal
/

Classification-6Bands-Data

Tasks:

Image Classification

Tabular Classification

Languages:

English

Size:

10K<n<100K

License:

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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 1 new columns ({'GT'}) and 6 missing columns ({'Band5', 'Band6', 'Band3', 'Band2', 'Band4', 'Band1'}).

This happened while the csv dataset builder was generating data using

hf://datasets/DaneshSelwal/Classification-6Bands-Data/data/ref.csv (at revision 85c228132bd79722b7b98d004da53fe8c499b134), ['hf://datasets/DaneshSelwal/Classification-6Bands-Data@85c228132bd79722b7b98d004da53fe8c499b134/data/data.csv', 'hf://datasets/DaneshSelwal/Classification-6Bands-Data@85c228132bd79722b7b98d004da53fe8c499b134/data/ref.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
              GT: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 382
              to
              {'Band1': Value('int64'), 'Band2': Value('int64'), 'Band3': Value('int64'), 'Band4': Value('int64'), 'Band5': Value('int64'), 'Band6': Value('int64')}
              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 1 new columns ({'GT'}) and 6 missing columns ({'Band5', 'Band6', 'Band3', 'Band2', 'Band4', 'Band1'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/DaneshSelwal/Classification-6Bands-Data/data/ref.csv (at revision 85c228132bd79722b7b98d004da53fe8c499b134), ['hf://datasets/DaneshSelwal/Classification-6Bands-Data@85c228132bd79722b7b98d004da53fe8c499b134/data/data.csv', 'hf://datasets/DaneshSelwal/Classification-6Bands-Data@85c228132bd79722b7b98d004da53fe8c499b134/data/ref.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.

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84	67	60	66	87	68
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88	71	65	73	94	75
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84	69	65	69	90	71
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81	69	47	139	61	30
81	67	49	133	60	28
79	61	48	114	62	30
75	57	42	106	61	31
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78	60	50	98	72	43
80	64	49	106	77	45
79	66	48	118	76	39
78	68	54	100	80	46
78	64	51	107	80	43
76	58	43	117	63	33
74	55	41	122	57	26
73	54	40	121	55	27
73	55	39	121	55	27
74	55	39	120	56	27
72	54	42	121	56	27
74	55	43	117	57	28
77	59	47	107	66	34
80	62	52	105	73	40
75	55	41	118	65	31
76	56	44	118	68	35
76	58	48	115	73	38
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76	57	45	116	65	33
76	55	44	115	63	33
76	60	50	111	68	36
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72	53	45	101	55	31
74	54	43	104	51	27
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75	56	44	102	57	30
78	60	47	98	66	36
78	64	51	95	72	42
79	66	50	101	74	41
80	66	51	105	75	41
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79	65	50	102	75	41
80	64	52	96	76	42
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72	55	41	119	61	30
73	55	39	119	61	29
74	54	39	118	60	29
75	54	40	115	59	27
74	55	41	114	59	29
73	53	40	119	60	28
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73	54	41	117	59	31
73	55	41	117	60	28
73	54	43	116	62	29
74	55	43	118	61	29
74	55	41	119	62	30
73	54	39	119	61	32
75	55	43	119	64	30
73	56	41	117	63	32
74	53	40	119	58	28
74	55	42	123	59	26
74	55	41	122	59	27
72	54	42	123	59	26
74	55	42	119	57	29
73	54	43	113	55	27
73	55	42	111	58	30
74	56	44	112	60	27
73	54	40	118	57	29
75	54	41	118	56	26
73	54	40	121	57	27
74	55	40	122	58	27
72	52	41	121	59	28
75	54	40	121	59	28
73	54	40	117	55	27
73	54	40	118	55	28
73	55	40	120	59	26
74	53	40	121	58	28
74	54	40	123	57	29
72	54	38	122	59	28
74	52	40	121	57	26
73	54	40	120	58	26
75	56	42	121	63	31
74	55	42	125	65	32
77	57	42	121	70	35
83	65	55	95	78	48
91	75	70	77	92	73

End of preview.

YAML Metadata Warning:The task_ids "land-cover-classification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

6-Band Multispectral/Hyperspectral Classification Dataset

Dataset Description

This dataset comprises a calibrated 6-band spectral imaging benchmark covering a 330 x 307 spatial scene across 7 ground-truth land-cover classes.

Dataset Specifications

Spatial Resolution: 330 x 307 grid (101,310 total spatial pixels)
Spectral Bands: 6 optical channels
Target Classes: 7 annotated classes (Water, Vegetation, Soil, Built-up, Agriculture, etc.)
Files:
- data/data.csv: Continuous pixel reflectance feature vectors across 6 spectral channels
- data/ref.csv: Ground-truth discrete class labels

Citation & Attribution

Dataset Curator: Danesh Selwal (selwaldanesh@gmail.com)
Co-authored by: Claude (claude@anthropic.com)

Downloads last month: 9

Total file size:

2.3 MB

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84	69	65	69	90	71
83	69	65	73	89	65
84	70	61	85	84	60
79	67	51	121	69	37
81	67	49	135	59	33
82	67	50	137	62	30
81	66	51	136	60	29
81	69	47	139	61	30
81	67	49	133	60	28
79	61	48	114	62	30
75	57	42	106	61	31
74	56	45	103	63	34
78	60	50	98	72	43
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79	66	48	118	76	39
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73	55	39	121	55	27
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72	54	42	121	56	27
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77	57	42	121	70	35
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79	67	51	121	69	37
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81	69	47	139	61	30
81	67	49	133	60	28
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75	57	42	106	61	31
74	56	45	103	63	34
78	60	50	98	72	43
80	64	49	106	77	45
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74	55	41	122	59	27
72	54	42	123	59	26
74	55	42	119	57	29
73	54	43	113	55	27
73	55	42	111	58	30
74	56	44	112	60	27
73	54	40	118	57	29
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73	54	40	117	55	27
73	54	40	118	55	28
73	55	40	120	59	26
74	53	40	121	58	28
74	54	40	123	57	29
72	54	38	122	59	28
74	52	40	121	57	26
73	54	40	120	58	26
75	56	42	121	63	31
74	55	42	125	65	32
77	57	42	121	70	35
83	65	55	95	78	48
91	75	70	77	92	73