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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 11 new columns ({'1.1', '1', '1898', '0.1', '41', '1898.2', '1898.1', 'Tritim_EIv0.3_1183490', '97.84', 'TraesCS1D02G068300', '4.21e+03'}) and 11 missing columns ({'TraesCS1D02G189300', '193', '811', '22', '75.34', 'TRIDC5AG074060', '5', '6', '810', '1.45e+03', '831'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Yoshigold/plant-msyn-data/mcscan_results/last_filtered_by_i1/test_8_1_25_once_more_once_more.triticum_timopheevii.filtered_by_i1.tsv (at revision 98e39d4bf8e0c4c109d0599c3c22c3d0790b2bd0)
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
TraesCS1D02G068300: string
Tritim_EIv0.3_1183490: string
97.84: double
1898: int64
41: int64
0: int64
1: int64
1898.1: int64
1.1: int64
1898.2: int64
0.1: double
4.21e+03: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1599
to
{'TraesCS1D02G189300': Value('string'), 'TRIDC5AG074060': Value('string'), '75.34': Value('float64'), '811': Value('int64'), '193': Value('int64'), '5': Value('int64'), '6': Value('int64'), '810': Value('int64'), '22': Value('int64'), '831': Value('int64'), '0': Value('float64'), '1.45e+03': Value('float64')}
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 11 new columns ({'1.1', '1', '1898', '0.1', '41', '1898.2', '1898.1', 'Tritim_EIv0.3_1183490', '97.84', 'TraesCS1D02G068300', '4.21e+03'}) and 11 missing columns ({'TraesCS1D02G189300', '193', '811', '22', '75.34', 'TRIDC5AG074060', '5', '6', '810', '1.45e+03', '831'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Yoshigold/plant-msyn-data/mcscan_results/last_filtered_by_i1/test_8_1_25_once_more_once_more.triticum_timopheevii.filtered_by_i1.tsv (at revision 98e39d4bf8e0c4c109d0599c3c22c3d0790b2bd0)
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.
TraesCS1D02G189300
string | TRIDC5AG074060
string | 75.34
float64 | 811
int64 | 193
int64 | 5
int64 | 6
int64 | 810
int64 | 22
int64 | 831
int64 | 0
float64 | 1.45e+03
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
TraesCS1D02G219600
|
TRIDC5AG076810
| 75.43
| 863
| 202
| 6
| 82
| 938
| 1
| 859
| 0
| 1,410
|
TraesCS1D02G189400
|
TRIDC5AG074040
| 74.63
| 749
| 178
| 8
| 10
| 752
| 50
| 792
| 0
| 1,270
|
TraesCS1D02G147700
|
TRIDC5AG072370
| 58.78
| 1,036
| 361
| 15
| 7
| 991
| 10
| 1,030
| 0
| 1,260
|
TraesCS1D02G214100
|
TRIDC5AG076150
| 69.99
| 733
| 198
| 7
| 1
| 727
| 11
| 727
| 0
| 1,190
|
TraesCS1D02G191600
|
TRIDC5AG070190
| 77.19
| 640
| 138
| 6
| 12
| 645
| 2
| 639
| 0
| 1,080
|
TraesCS1D02G148200
|
TRIDC5AG072160
| 67.49
| 729
| 210
| 5
| 1
| 726
| 1
| 705
| 0
| 1,070
|
TraesCS1D02G189200
|
TRIDC5AG074170
| 74.23
| 586
| 133
| 5
| 18
| 587
| 6
| 589
| 0
| 982
|
TraesCS1D02G147200
|
TRIDC5AG072520
| 73.66
| 577
| 145
| 2
| 4
| 578
| 19
| 590
| 0
| 976
|
TraesCS1D02G214200
|
TRIDC5AG076160
| 71.67
| 586
| 155
| 6
| 16
| 593
| 35
| 617
| 0
| 965
|
TraesCS1D02G221100
|
TRIDC5AG076790
| 77.67
| 515
| 111
| 3
| 4
| 516
| 5
| 517
| 0
| 926
|
TraesCS1D02G187900
|
TRIDC5AG074340
| 72.66
| 567
| 143
| 7
| 63
| 622
| 15
| 576
| 0
| 863
|
TraesCS1D02G221600
|
TRIDC5AG076720
| 57.73
| 705
| 265
| 12
| 64
| 755
| 57
| 741
| 0
| 836
|
TraesCS1D02G212800
|
TRIDC5AG075850
| 62.78
| 626
| 198
| 17
| 16
| 621
| 27
| 637
| 0
| 771
|
TraesCS1D02G144900
|
TRIDC5AG073190
| 54.43
| 654
| 248
| 11
| 66
| 676
| 4
| 650
| 0
| 668
|
TraesCS1D02G187600
|
TRIDC5AG074560
| 78.78
| 377
| 75
| 1
| 1
| 377
| 65
| 436
| 0
| 665
|
TraesCS1D02G187100
|
TRIDC5AG074640
| 79.46
| 331
| 66
| 1
| 27
| 357
| 72
| 400
| 0
| 645
|
TraesCS1D02G213900
|
TRIDC5AG076090
| 63.13
| 453
| 149
| 6
| 51
| 486
| 6
| 457
| 0
| 624
|
TraesCS1D02G191800
|
TRIDC5AG070280
| 68.41
| 364
| 110
| 3
| 188
| 549
| 45
| 405
| 0
| 560
|
TraesCS1D02G219700
|
TRIDC5AG076830
| 78.6
| 271
| 58
| 0
| 26
| 296
| 23
| 293
| 0
| 531
|
TraesCS1D02G187500
|
TRIDC5AG074570
| 69.11
| 314
| 95
| 1
| 10
| 321
| 17
| 330
| 0
| 524
|
TraesCS1D02G186900
|
TRIDC5AG074760
| 54.87
| 452
| 168
| 8
| 1
| 418
| 5
| 454
| 0
| 491
|
TraesCS1D02G203700
|
TRIDC5AG073590
| 64.76
| 332
| 114
| 3
| 1
| 331
| 1
| 330
| 0
| 483
|
TraesCS1D02G215500
|
TRIDC5AG076250
| 83.77
| 228
| 35
| 1
| 54
| 279
| 57
| 284
| 0
| 476
|
TraesCS1D02G222200
|
TRIDC5AG076570
| 63.2
| 375
| 115
| 11
| 24
| 381
| 30
| 398
| 0
| 466
|
TraesCS1D02G187700
|
TRIDC5AG074530
| 68.39
| 310
| 78
| 7
| 1
| 294
| 1
| 306
| 0
| 462
|
TraesCS1D02G222000
|
TRIDC5AG076660
| 70.77
| 260
| 56
| 4
| 2
| 246
| 5
| 259
| 0
| 432
|
TraesCS1D02G203000
|
TRIDC5AG073390
| 80.28
| 213
| 42
| 0
| 1
| 213
| 9
| 221
| 0
| 424
|
TraesCS1D02G223200
|
TRIDC5AG076310
| 55.99
| 384
| 120
| 12
| 1
| 357
| 1
| 362
| 0
| 385
|
TraesCS1D02G146000
|
TRIDC5AG072730
| 53.9
| 410
| 144
| 15
| 47
| 437
| 14
| 397
| 0
| 376
|
TraesCS1D02G203200
|
TRIDC5AG073460
| 92.55
| 161
| 12
| 0
| 1
| 161
| 16
| 176
| 0
| 375
|
TraesCS1D02G145100
|
TRIDC5AG073210
| 94.51
| 164
| 9
| 0
| 1
| 164
| 4
| 167
| 0
| 367
|
TraesCS1D02G145900
|
TRIDC5AG072800
| 82.26
| 186
| 30
| 1
| 349
| 531
| 25
| 210
| 0
| 358
|
TraesCS1D02G191000
|
TRIDC5AG069990
| 62.71
| 295
| 80
| 7
| 92
| 381
| 1
| 270
| 0
| 345
|
TraesCS1D02G145700
|
TRIDC5AG073050
| 92.86
| 154
| 11
| 0
| 1
| 154
| 28
| 181
| 0
| 333
|
TraesCS1D02G223000
|
TRIDC5AG076330
| 53.65
| 315
| 122
| 7
| 36
| 347
| 28
| 321
| 0
| 329
|
TraesCS1D02G146100
|
TRIDC5AG072570
| 97.86
| 140
| 3
| 0
| 1
| 140
| 32
| 171
| 0
| 320
|
TraesCS1D02G218900
|
TRIDC5AG076970
| 66.17
| 201
| 58
| 4
| 5
| 196
| 9
| 208
| 0
| 252
|
TraesCS1D02G203900
|
TRIDC5AG073630
| 50
| 328
| 97
| 13
| 4
| 291
| 17
| 317
| 0
| 245
|
TraesCS1D02G214000
|
TRIDC5AG076110
| 62.89
| 194
| 61
| 4
| 100
| 289
| 11
| 197
| 0
| 228
|
TraesCS1D02G188700
|
TRIDC5AG074270
| 58.13
| 203
| 56
| 6
| 1
| 200
| 1
| 177
| 0
| 212
|
TraesCS1D02G204100
|
TRIDC5AG073680
| 52.02
| 198
| 85
| 5
| 5
| 197
| 3
| 195
| 0
| 204
|
TraesCS1D02G190700
|
TRIDC5AG070070
| 52.51
| 219
| 49
| 7
| 2
| 165
| 3
| 221
| 0
| 186
|
TraesCS1D02G213300
|
TRIDC5AG075920
| 69.07
| 97
| 29
| 1
| 23
| 118
| 3
| 99
| 0
| 160
|
TraesCS1D02G214500
|
TRIDC5AG075900
| 50.63
| 158
| 40
| 3
| 102
| 222
| 35
| 191
| 0
| 159
|
TraesCS1D02G188900
|
TRIDC5AG074150
| 72.38
| 105
| 22
| 4
| 6
| 109
| 5
| 103
| 0
| 152
|
TraesCS1D02G191500
|
TRIDC5AG070120
| 49.7
| 167
| 70
| 3
| 65
| 221
| 44
| 206
| 0
| 150
|
TraesCS1D02G148400
|
TRIDC5AG072140
| 58.97
| 117
| 44
| 2
| 75
| 191
| 4
| 116
| 0
| 147
|
TraesCS1D02G213203
|
TRIDC5AG075860
| 48.99
| 149
| 58
| 5
| 5
| 143
| 8
| 148
| 0
| 137
|
TraesCS1D02G188800
|
TRIDC5AG074260
| 32.03
| 462
| 227
| 18
| 10
| 390
| 6
| 461
| 0
| 135
|
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| null |
End of preview.
Plant Microsynteny Dataset (plant-msyn-data)
Pre-computed MCscan protein-based synteny analysis results for 30+ plant genomes.
Dataset Structure
plant-msyn-data/
├── mcscan_results/
│ ├── bed_files/ # Gene position files (*.bed) + database_genomes.txt whitelist
│ ├── i1_blocks/ # Synteny block files (*.i1.blocks)
│ ├── lifted_anchors/ # Syntenic anchor pair files (*.lifted.anchors)
│ ├── last_filtered_by_i1/ # I1-filtered LAST alignments
│ ├── pep_files/ # Protein FASTA files (*.pep)
│ ├── custom_meta/ # Custom genome metadata (user uploads)
│ └── custom_synteny_meta/ # Custom synteny project metadata
├── sql/
│ ├── search_catalogs/ # Per-genome SQLite catalogs for fast gene lookups
│ └── plantmsyn_metadata.db # Central metadata database
└── annotations/
└── [species_name]/
└── gene_annotation.tsv # Gene functional descriptions
Supported Genomes
The dataset includes synteny data for 30+ plant genomes including:
- Barley (Hordeum vulgare)
- Wheat (Triticum aestivum)
- Rice (Oryza sativa)
- Maize (Zea mays)
- Arabidopsis (Arabidopsis thaliana)
- And 25+ more species
Usage
This dataset is designed to be used with the Plant-mSyn web application.
To use programmatically:
from huggingface_hub import snapshot_download
# Download the full dataset
local_path = snapshot_download(
repo_id="yoshigold/plant-msyn-data",
repo_type="dataset"
)
File Formats
BED Files (*.bed)
Tab-separated files with gene positions:
- Column 1: Chromosome
- Column 2: Start position
- Column 3: End position
- Column 4: Gene ID
- Column 5: Score
- Column 6: Strand
Blocks Files (*.i1.blocks)
Tab-separated synteny block definitions linking genes between species.
Annotation Files (gene_annotation.tsv)
Tab-separated files with:
- Column 1: gene (Gene ID)
- Column 2: description (Functional annotation)
Citation
If you use this dataset, please cite:
- MCscan/JCVI: Tang et al. (2008) Synteny and Collinearity in Plant Genomes
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