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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 2 new columns ({'IOR ΠΠ½Π°ΡΠ΅Π½ΠΈΠ΅', 'ΠΠ°ΡΠ΅ΡΠΈΠ°Π»'}) and 2 missing columns ({'Unnamed: 1', 'Common Materials:'}).
This happened while the csv dataset builder was generating data using
hf://datasets/5digit/IOR/ior10.csv (at revision 8c06ee24ef5c34c0b722e328ca053b0e6f4cd7e8)
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
ΠΠ°ΡΠ΅ΡΠΈΠ°Π»: string
IOR ΠΠ½Π°ΡΠ΅Π½ΠΈΠ΅: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 660
to
{'Common Materials:': Value(dtype='string', id=None), 'Unnamed: 1': Value(dtype='string', 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 2 new columns ({'IOR ΠΠ½Π°ΡΠ΅Π½ΠΈΠ΅', 'ΠΠ°ΡΠ΅ΡΠΈΠ°Π»'}) and 2 missing columns ({'Unnamed: 1', 'Common Materials:'}).
This happened while the csv dataset builder was generating data using
hf://datasets/5digit/IOR/ior10.csv (at revision 8c06ee24ef5c34c0b722e328ca053b0e6f4cd7e8)
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.
Common Materials:
string | Unnamed: 1
string |
|---|---|
Material
|
IOR Value
|
Water
|
1.33
|
Glass
|
1.5 β 1.6
|
Plastic
|
1.4 β 1.6
|
Leather
|
1.48
|
Jelly
|
1.33 β 1.35
|
Paper
|
1,5
|
Wood
|
1.5 β 1.7
|
Diamond
|
2.42
|
Air
|
1,2003
|
Ice
|
1.31
|
Quartz
|
1.54
|
Ruby
|
1.76
|
Sapphire
|
1.77 β 1.78
|
Emerald
|
1.58 β 1.60
|
Amber
|
1.55 β 1.60
|
Carbon Fiber
|
1.5 β 1.6
|
Aluminum
|
1.44
|
Silver
|
0.18 β 0.36
|
Gold
|
0.47 β 0.77
|
Copper
|
0.8 β 1.2
|
Brass
|
0.28 β 1.0
|
Iron
|
2.56 β 3.84
|
Steel
|
2.5 β 3.0
|
Titanium
|
2.2 β 2.6
|
Platinum
|
2.33 β 2.44
|
Granite
|
1.65 β 1.75
|
Marble
|
1.5 β 1.7
|
Concrete
|
1.5 β 1.7
|
Asphalt
|
1.6 β 1.7
|
Soil
|
1.4 β 1.6
|
Sand
|
1.5 β 1.7
|
Air (atmosphere)
|
1.2003
|
V-Ray Materials:
| null |
Material
|
IOR Value
|
Water
|
1.33
|
Glass
|
1.5 β 1.6
|
Plastic
|
1.4 β 1.6
|
Gold
|
0.47 β 0.77
|
Silver
|
0.18 β 0.36
|
Copper
|
0.8 β 1.2
|
Aluminum
|
1.44
|
Diamond
|
2.42
|
Ruby
|
1.76
|
Sapphire
|
1.77 β 1.78
|
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
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null | null |
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null | null |
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null | null |
null | null |
null | null |
null | null |
null | null |
null | null |
End of preview.
YAML Metadata
Warning:
The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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