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 ({'otu_id', 'dna_sequence'}) and 5 missing columns ({'patient_id', 'sid', 'label', 'allergen_class', 'country'}).
This happened while the csv dataset builder was generating data using
hf://datasets/hugging-science/AI4FA-Diabimmune/processed/dna_sequences/Month_1/SRS1719092.csv (at revision 9f02bd07ed48e03f09f1b144dfcdcfb6c2a32aef)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
otu_id: string
dna_sequence: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 497
to
{'sid': Value('string'), 'patient_id': Value('string'), 'country': Value('string'), 'label': Value('int64'), 'allergen_class': 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 1334, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 911, in stream_convert_to_parquet
builder._prepare_split(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 ({'otu_id', 'dna_sequence'}) and 5 missing columns ({'patient_id', 'sid', 'label', 'allergen_class', 'country'}).
This happened while the csv dataset builder was generating data using
hf://datasets/hugging-science/AI4FA-Diabimmune/processed/dna_sequences/Month_1/SRS1719092.csv (at revision 9f02bd07ed48e03f09f1b144dfcdcfb6c2a32aef)
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.
sid
string | patient_id
string | country
string | label
int64 | allergen_class
int64 |
|---|---|---|---|---|
SRS1719262
|
E022960
|
FIN
| 1
| 1
|
SRS1735475
|
T008246
|
EST
| 1
| 1
|
SRS1735488
|
E030828
|
FIN
| 0
| 0
|
SRS1735491
|
T007748
|
EST
| 0
| 0
|
SRS1735500
|
T021613
|
EST
| 1
| 4
|
SRS1735508
|
T005999
|
EST
| 0
| 0
|
SRS1735509
|
T019852
|
EST
| 0
| 0
|
SRS1735512
|
T023390
|
EST
| 1
| 1
|
SRS1735519
|
E002473
|
FIN
| 0
| 0
|
SRS1735538
|
T019021
|
EST
| 0
| 0
|
SRS1735560
|
T009275
|
EST
| 0
| 0
|
SRS1735568
|
T008025
|
EST
| 1
| 1
|
SRS1735577
|
E020808
|
FIN
| 0
| 0
|
SRS1735593
|
E019793
|
FIN
| 1
| 4
|
SRS1735595
|
E025912
|
FIN
| 0
| 0
|
SRS1735599
|
T016234
|
EST
| 0
| 0
|
SRS1735606
|
T013832
|
EST
| 1
| 1
|
SRS1735612
|
T012983
|
EST
| 1
| 2
|
SRS1735628
|
T008247
|
EST
| 1
| 1
|
SRS1735631
|
T019850
|
EST
| 0
| 0
|
SRS1719109
|
E030828
|
FIN
| 0
| 0
|
SRS1719178
|
T023909
|
EST
| 0
| 0
|
SRS1719230
|
P017255
|
RUS
| 0
| 0
|
SRS1719275
|
T026211
|
EST
| 1
| 2
|
SRS1719278
|
P010322
|
RUS
| 0
| 0
|
SRS1719279
|
P004946
|
RUS
| 0
| 0
|
SRS1719284
|
P007857
|
RUS
| 0
| 0
|
SRS1719298
|
T029922
|
EST
| 0
| 0
|
SRS1719299
|
E033036
|
FIN
| 0
| 0
|
SRS1719323
|
P018832
|
RUS
| 0
| 0
|
SRS1719328
|
E022960
|
FIN
| 1
| 1
|
SRS1719353
|
P019222
|
RUS
| 0
| 0
|
SRS1719369
|
P009291
|
RUS
| 1
| 2
|
SRS1719371
|
E012124
|
FIN
| 0
| 0
|
SRS1719383
|
T023390
|
EST
| 1
| 1
|
SRS1719430
|
E013394
|
FIN
| 1
| 4
|
SRS1719438
|
P004113
|
RUS
| 0
| 0
|
SRS1719468
|
E034324
|
FIN
| 1
| 4
|
SRS1719473
|
P017671
|
RUS
| 0
| 0
|
SRS1719509
|
P017743
|
RUS
| 0
| 0
|
SRS1719531
|
T022883
|
EST
| 1
| 4
|
SRS1719534
|
P010096
|
RUS
| 0
| 0
|
SRS1719540
|
P005135
|
RUS
| 0
| 0
|
SRS1719554
|
P009746
|
RUS
| 0
| 0
|
SRS1719559
|
E012678
|
FIN
| 0
| 0
|
SRS1719564
|
T020231
|
EST
| 0
| 0
|
SRS1719570
|
T019850
|
EST
| 0
| 0
|
SRS1719578
|
P022130
|
RUS
| 1
| 2
|
SRS1735448
|
E024646
|
FIN
| 1
| 4
|
SRS1735464
|
E006871
|
FIN
| 1
| 2
|
SRS1735473
|
E007303
|
FIN
| 0
| 0
|
SRS1735489
|
T000094
|
EST
| 0
| 0
|
SRS1735498
|
T000461
|
EST
| 0
| 0
|
SRS1735503
|
T009280
|
EST
| 0
| 0
|
SRS1735523
|
P015163
|
RUS
| 0
| 0
|
SRS1735542
|
T006288
|
EST
| 1
| 2
|
SRS1735544
|
T009909
|
EST
| 0
| 0
|
SRS1735547
|
T003950
|
EST
| 1
| 1
|
SRS1735551
|
E002681
|
FIN
| 0
| 0
|
SRS1735553
|
T007748
|
EST
| 0
| 0
|
SRS1735555
|
T009275
|
EST
| 0
| 0
|
SRS1735557
|
E002825
|
FIN
| 1
| 1
|
SRS1735566
|
E002338
|
FIN
| 1
| 1
|
SRS1735569
|
E009676
|
FIN
| 0
| 0
|
SRS1735581
|
E004080
|
FIN
| 0
| 0
|
SRS1735584
|
E005804
|
FIN
| 0
| 0
|
SRS1735600
|
P000648
|
RUS
| 0
| 0
|
SRS1735601
|
E007743
|
FIN
| 1
| 1
|
SRS1735608
|
E009020
|
FIN
| 1
| 4
|
SRS1735620
|
E008241
|
FIN
| 0
| 0
|
SRS1735641
|
E008643
|
FIN
| 0
| 0
|
SRS1735660
|
P008543
|
RUS
| 1
| 1
|
SRS1735662
|
T019852
|
EST
| 0
| 0
|
SRS1735689
|
T010520
|
EST
| 0
| 0
|
SRS1735695
|
T024121
|
EST
| 0
| 0
|
SRS1719146
|
P003435
|
RUS
| 0
| 0
|
SRS1719155
|
P003558
|
RUS
| 0
| 0
|
SRS1719175
|
T028029
|
EST
| 1
| 3
|
SRS1719226
|
P023918
|
RUS
| 0
| 0
|
SRS1719228
|
P026562
|
RUS
| 0
| 0
|
SRS1719280
|
P004946
|
RUS
| 0
| 0
|
SRS1719310
|
P013823
|
RUS
| 0
| 0
|
SRS1719311
|
P017255
|
RUS
| 0
| 0
|
SRS1719347
|
P016803
|
RUS
| 0
| 0
|
SRS1719352
|
P020604
|
RUS
| 0
| 0
|
SRS1719359
|
P022222
|
RUS
| 0
| 0
|
SRS1719390
|
E033156
|
FIN
| 1
| 1
|
SRS1719418
|
P000756
|
RUS
| 0
| 0
|
SRS1719419
|
P011108
|
RUS
| 0
| 0
|
SRS1719439
|
P004113
|
RUS
| 0
| 0
|
SRS1719505
|
P007649
|
RUS
| 0
| 0
|
SRS1719530
|
P017743
|
RUS
| 0
| 0
|
SRS1719555
|
P008579
|
RUS
| 0
| 0
|
SRS1719557
|
P015163
|
RUS
| 0
| 0
|
SRS1719575
|
P014839
|
RUS
| 0
| 0
|
SRS1735465
|
E012115
|
FIN
| 0
| 0
|
SRS1735570
|
E015378
|
FIN
| 1
| 1
|
SRS1735586
|
P010322
|
RUS
| 0
| 0
|
SRS1735609
|
T004341
|
EST
| 0
| 0
|
SRS1735637
|
T005507
|
EST
| 1
| 1
|
This is an experimental microbiome dataset designed for exploratory research in food allergy classification. The dataset contains multiple data modalities (DNA embeddings, microbiome embeddings, raw DNA sequences) collected longitudinally at several timepoints.
Warning: This dataset is experimental. Its structure is frozen for ongoing research, and it is not ready for benchmarking.
The dataset is organized by data type and timepoint:
.
├── dna_embeddings
│ └── month_{1,2,3,....38}/dna_embeddings.h5
├── dna_sequences
│ └── month_{1,2,3,....38}/*.csv
└── microbiome_embeddings
└── month_{1,2,3,....38}/microbiome_embeddings.h5
.h5 files with embedding vectors derived from DNA sequences..h5 files containing microbiome feature vectors..csv files representing sequences or processed features.Each timepoint contains multiple samples per subject.
File names (e.g., SRS1719092.csv) serve as sample IDs. Subject IDs and mappings are implicit; users must manage them carefully.
This experimental dataset is currently released under Apache License 2.0