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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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