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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 ({'__index_level_1__', '__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/ClarusC64/alphafold-misfolding-precursor-detection-v0.1/data/test.csv (at revision a4564b2cdca601c47662eabe94c1c0a394846313), [/tmp/hf-datasets-cache/medium/datasets/24229634445625-config-parquet-and-info-ClarusC64-alphafold-misfo-8bd9c081/hub/datasets--ClarusC64--alphafold-misfolding-precursor-detection-v0.1/snapshots/a4564b2cdca601c47662eabe94c1c0a394846313/data/test.csv (origin=hf://datasets/ClarusC64/alphafold-misfolding-precursor-detection-v0.1@a4564b2cdca601c47662eabe94c1c0a394846313/data/test.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 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
protein: int64
mutation_or_condition: double
sequence_length: double
baseline_coherence_score: double
delta_long_range_coupling: double
delta_fluctuation_synchrony: double
hydrophobic_core_shift: double
regional_variance_spike: double
early_precursor_score: double
precursor_flag: string
critical_regions: string
notes: string
constraints: string
gold_checklist: string
__index_level_0__: string
__index_level_1__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__"], "c' + 2471
to
{'id': Value('string'), 'protein': Value('string'), 'mutation_or_condition': Value('string'), 'sequence_length': Value('int64'), 'baseline_coherence_score': Value('float64'), 'delta_long_range_coupling': Value('float64'), 'delta_fluctuation_synchrony': Value('float64'), 'hydrophobic_core_shift': Value('float64'), 'regional_variance_spike': Value('float64'), 'early_precursor_score': Value('float64'), 'precursor_flag': Value('int64'), 'critical_regions': Value('string'), 'notes': Value('string'), 'constraints': Value('string'), 'gold_checklist': 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 1736, 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 1889, 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 ({'__index_level_1__', '__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/ClarusC64/alphafold-misfolding-precursor-detection-v0.1/data/test.csv (at revision a4564b2cdca601c47662eabe94c1c0a394846313), [/tmp/hf-datasets-cache/medium/datasets/24229634445625-config-parquet-and-info-ClarusC64-alphafold-misfo-8bd9c081/hub/datasets--ClarusC64--alphafold-misfolding-precursor-detection-v0.1/snapshots/a4564b2cdca601c47662eabe94c1c0a394846313/data/test.csv (origin=hf://datasets/ClarusC64/alphafold-misfolding-precursor-detection-v0.1@a4564b2cdca601c47662eabe94c1c0a394846313/data/test.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 | protein
string | mutation_or_condition
string | sequence_length
int64 | baseline_coherence_score
float64 | delta_long_range_coupling
float64 | delta_fluctuation_synchrony
float64 | hydrophobic_core_shift
float64 | regional_variance_spike
float64 | early_precursor_score
float64 | precursor_flag
int64 | critical_regions
string | notes
string | constraints
string | gold_checklist
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MPD-001
|
tau_2N4R
|
hyperphosphorylation
| 441
| 0.71
| -0.09
| -0.07
| -0.05
| 0.12
| 0.68
| 1
|
275-305|336-368
|
Phosphorylation destabilizes MT-binding
|
<=320 words
|
score+flag+regions
|
MPD-002
|
alpha_syn
|
A53T
| 140
| 0.64
| -0.11
| -0.1
| -0.06
| 0.15
| 0.74
| 1
|
61-95
|
Familial PD mutation
|
<=320 words
|
score+flag+regions
|
MPD-003
|
amyloid_beta
|
oxidative_stress
| 42
| 0.52
| -0.08
| -0.09
| -0.04
| 0.1
| 0.62
| 1
|
17-21
|
ROS exposure
|
<=320 words
|
score+flag+regions
|
MPD-004
|
SOD1
|
G93A
| 153
| 0.84
| -0.13
| -0.12
| -0.09
| 0.18
| 0.79
| 1
|
57-80
|
ALS-linked destabilization
|
<=320 words
|
score+flag+regions
|
MPD-005
|
TDP43
|
low_pH
| 414
| 0.66
| -0.07
| -0.08
| -0.03
| 0.11
| 0.59
| 1
|
311-360
|
Acidic stress
|
<=320 words
|
score+flag+regions
|
MPD-006
|
prion_prp
|
heat_42C
| 253
| 0.69
| -0.1
| -0.09
| -0.07
| 0.14
| 0.71
| 1
|
110-136
|
Thermal destabilization
|
<=320 words
|
score+flag+regions
|
MPD-007
|
ubiquitin
|
control
| 76
| 0.91
| -0.01
| -0.01
| -0.01
| 0.02
| 0.08
| 0
|
none
|
Stable control
|
<=320 words
|
score+flag+regions
|
MPD-008
|
huntingtin_exon1
|
polyQ_expansion
| 90
| 0.61
| -0.12
| -0.11
| -0.05
| 0.16
| 0.76
| 1
|
17-35
|
Expanded polyQ
|
<=320 words
|
score+flag+regions
|
MPD-009
|
insulin_chainB
|
heat_40C
| 30
| 0.82
| -0.06
| -0.05
| -0.03
| 0.09
| 0.52
| 1
|
7-19
|
Thermal fluctuation
|
<=320 words
|
score+flag+regions
|
MPD-010
|
lysozyme
|
D67H
| 148
| 0.88
| -0.09
| -0.08
| -0.06
| 0.13
| 0.67
| 1
|
56-70
|
Destabilizing mutation
|
<=320 words
|
score+flag+regions
|
Focus
Detect early misfolding
before aggregates form.
Tracks
loss of dynamic coupling
hydrophobic core drift
regional variance spikes
Task
Given structural deltas
predict:
- precursor_score
- precursor_flag
- critical_regions
Value
Early biomarker layer
for aggregation disease.
Supports screening
of mutations and stressors.
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