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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
status: string
counts: struct<records: int64, cadd_exact: int64, alphamissense_exact: int64, spliceai_exact: int64, splicea (... 32 chars omitted)
child 0, records: int64
child 1, cadd_exact: int64
child 2, alphamissense_exact: int64
child 3, spliceai_exact: int64
child 4, spliceai_missing_symbol_rescued: int64
engine_image_id: string
alphamissense_version_collision_regressions: list<item: string>
child 0, item: string
indexed_plugin: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
baked_plugins: struct<IndexedScores.pm: struct<name: string, size_bytes: int64, sha256: string>, SpliceAIStarter.pm (... 147 chars omitted)
child 0, IndexedScores.pm: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
child 1, SpliceAIStarter.pm: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
child 2, SpliceAI-MANE1.5-gene-map.json: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
input: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
output: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
...
ing, transport: string, checks: list<item: string>>
child 0, status: string
child 1, transport: string
child 2, checks: list<item: string>
child 0, item: string
cadd: struct<status: string, records: int64, contig_counts: struct<1: int64, 10: int64, 11: int64, 12: int (... 444 chars omitted)
child 0, status: string
child 1, records: int64
child 2, contig_counts: struct<1: int64, 10: int64, 11: int64, 12: int64, 13: int64, 14: int64, 15: int64, 16: int64, 17: in (... 159 chars omitted)
child 0, 1: int64
child 1, 10: int64
child 2, 11: int64
child 3, 12: int64
child 4, 13: int64
child 5, 14: int64
child 6, 15: int64
child 7, 16: int64
child 8, 17: int64
child 9, 18: int64
child 10, 19: int64
child 11, 2: int64
child 12, 20: int64
child 13, 21: int64
child 14, 22: int64
child 15, 3: int64
child 16, 4: int64
child 17, 5: int64
child 18, 6: int64
child 19, 7: int64
child 20, 8: int64
child 21, 9: int64
child 22, X: int64
child 23, Y: int64
child 3, runtime_key_uniqueness: string
child 4, sampled_rows: int64
child 5, source_comparisons: int64
child 6, payload_bytes: int64
child 7, preparation: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
child 8, preparer_sha256: string
child 9, auditor_preparer_sha256: string
to
{'alphamissense': {'status': Value('string'), 'records': Value('int64'), 'contig_counts': {'1': Value('int64'), '10': Value('int64'), '11': Value('int64'), '12': Value('int64'), '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '16': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '2': Value('int64'), '20': Value('int64'), '21': Value('int64'), '22': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'X': Value('int64'), 'Y': Value('int64')}, 'runtime_key_uniqueness': Value('string'), 'sampled_rows': Value('int64'), 'source_comparisons': Value('int64'), 'payload_bytes': Value('int64'), 'preparation': {'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}, 'preparer_sha256': Value('string'), 'auditor_preparer_sha256': Value('string'), 'version_resolution_audit': {'status': Value('string'), 'baseline_rows': Value('int64'), 'verified_output_rows': Value('int64'), 'mane_version_conflicts_resolved': Value('int64'), 'resolved_transcripts': {'ENST00000602326.6': Value('int64'), 'ENST00000371077.10': Value('int64'), 'ENST00000367912.7': Value('int64'), 'ENST00000414423.9': Value('int64'), 'ENST00000616763.6': Value('int64'), 'ENST00000448723.2': Value('int64'), 'ENST00000452863.10': Value('int64'), 'ENST00000550587.6': Value('int64'), 'ENST00000354772.10': Value('int64'), 'ENST00000614646.5': Valu
...
('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'X': Value('int64'), 'Y': Value('int64')}, 'runtime_key_uniqueness': Value('string'), 'sampled_rows': Value('int64'), 'source_comparisons': Value('int64'), 'payload_bytes': Value('int64'), 'preparation': {'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}, 'preparer_sha256': Value('string'), 'auditor_preparer_sha256': Value('string')}, 'spliceai': {'status': Value('string'), 'records': Value('int64'), 'contig_counts': {'1': Value('int64'), '10': Value('int64'), '11': Value('int64'), '12': Value('int64'), '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '16': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '2': Value('int64'), '20': Value('int64'), '21': Value('int64'), '22': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'X': Value('int64'), 'Y': Value('int64')}, 'runtime_key_uniqueness': Value('string'), 'sampled_rows': Value('int64'), 'source_comparisons': Value('int64'), 'payload_bytes': Value('int64'), 'preparation': {'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}, 'preparer_sha256': Value('string'), 'auditor_preparer_sha256': Value('string')}, 'installation': {'status': Value('string'), 'transport': Value('string'), 'checks': List(Value('string'))}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
status: string
counts: struct<records: int64, cadd_exact: int64, alphamissense_exact: int64, spliceai_exact: int64, splicea (... 32 chars omitted)
child 0, records: int64
child 1, cadd_exact: int64
child 2, alphamissense_exact: int64
child 3, spliceai_exact: int64
child 4, spliceai_missing_symbol_rescued: int64
engine_image_id: string
alphamissense_version_collision_regressions: list<item: string>
child 0, item: string
indexed_plugin: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
baked_plugins: struct<IndexedScores.pm: struct<name: string, size_bytes: int64, sha256: string>, SpliceAIStarter.pm (... 147 chars omitted)
child 0, IndexedScores.pm: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
child 1, SpliceAIStarter.pm: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
child 2, SpliceAI-MANE1.5-gene-map.json: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
input: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
output: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
...
ing, transport: string, checks: list<item: string>>
child 0, status: string
child 1, transport: string
child 2, checks: list<item: string>
child 0, item: string
cadd: struct<status: string, records: int64, contig_counts: struct<1: int64, 10: int64, 11: int64, 12: int (... 444 chars omitted)
child 0, status: string
child 1, records: int64
child 2, contig_counts: struct<1: int64, 10: int64, 11: int64, 12: int64, 13: int64, 14: int64, 15: int64, 16: int64, 17: in (... 159 chars omitted)
child 0, 1: int64
child 1, 10: int64
child 2, 11: int64
child 3, 12: int64
child 4, 13: int64
child 5, 14: int64
child 6, 15: int64
child 7, 16: int64
child 8, 17: int64
child 9, 18: int64
child 10, 19: int64
child 11, 2: int64
child 12, 20: int64
child 13, 21: int64
child 14, 22: int64
child 15, 3: int64
child 16, 4: int64
child 17, 5: int64
child 18, 6: int64
child 19, 7: int64
child 20, 8: int64
child 21, 9: int64
child 22, X: int64
child 23, Y: int64
child 3, runtime_key_uniqueness: string
child 4, sampled_rows: int64
child 5, source_comparisons: int64
child 6, payload_bytes: int64
child 7, preparation: struct<name: string, size_bytes: int64, sha256: string>
child 0, name: string
child 1, size_bytes: int64
child 2, sha256: string
child 8, preparer_sha256: string
child 9, auditor_preparer_sha256: string
to
{'alphamissense': {'status': Value('string'), 'records': Value('int64'), 'contig_counts': {'1': Value('int64'), '10': Value('int64'), '11': Value('int64'), '12': Value('int64'), '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '16': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '2': Value('int64'), '20': Value('int64'), '21': Value('int64'), '22': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'X': Value('int64'), 'Y': Value('int64')}, 'runtime_key_uniqueness': Value('string'), 'sampled_rows': Value('int64'), 'source_comparisons': Value('int64'), 'payload_bytes': Value('int64'), 'preparation': {'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}, 'preparer_sha256': Value('string'), 'auditor_preparer_sha256': Value('string'), 'version_resolution_audit': {'status': Value('string'), 'baseline_rows': Value('int64'), 'verified_output_rows': Value('int64'), 'mane_version_conflicts_resolved': Value('int64'), 'resolved_transcripts': {'ENST00000602326.6': Value('int64'), 'ENST00000371077.10': Value('int64'), 'ENST00000367912.7': Value('int64'), 'ENST00000414423.9': Value('int64'), 'ENST00000616763.6': Value('int64'), 'ENST00000448723.2': Value('int64'), 'ENST00000452863.10': Value('int64'), 'ENST00000550587.6': Value('int64'), 'ENST00000354772.10': Value('int64'), 'ENST00000614646.5': Valu
...
('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'X': Value('int64'), 'Y': Value('int64')}, 'runtime_key_uniqueness': Value('string'), 'sampled_rows': Value('int64'), 'source_comparisons': Value('int64'), 'payload_bytes': Value('int64'), 'preparation': {'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}, 'preparer_sha256': Value('string'), 'auditor_preparer_sha256': Value('string')}, 'spliceai': {'status': Value('string'), 'records': Value('int64'), 'contig_counts': {'1': Value('int64'), '10': Value('int64'), '11': Value('int64'), '12': Value('int64'), '13': Value('int64'), '14': Value('int64'), '15': Value('int64'), '16': Value('int64'), '17': Value('int64'), '18': Value('int64'), '19': Value('int64'), '2': Value('int64'), '20': Value('int64'), '21': Value('int64'), '22': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'X': Value('int64'), 'Y': Value('int64')}, 'runtime_key_uniqueness': Value('string'), 'sampled_rows': Value('int64'), 'source_comparisons': Value('int64'), 'payload_bytes': Value('int64'), 'preparation': {'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}, 'preparer_sha256': Value('string'), 'auditor_preparer_sha256': Value('string')}, 'installation': {'status': Value('string'), 'transport': Value('string'), 'checks': List(Value('string'))}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
GUIDE-IEI compact essential annotations
Release 2026-10-05-v3. Prepared public score subsets for one-click GUIDE-IEI setup, downloaded alongside (not inside) the VEP reference bundle. Application installers do not embed these data. No patient data or model weights are included.
AlphaMissense correction: the initial 2026-10-04-v1 table had 518,100
duplicate runtime keys across 97 MANE transcripts, which caused the matcher to
withhold scores. This release resolves keys using the runtime's stable transcript
ID rule. Within the preferred source, an unambiguous exact MANE v1.5 transcript
version takes precedence over older versions, recovering 95,924 additional keys
across 30 transcripts compared with 2026-10-05-v2. Unresolved conflicts remain
withheld; scores are never averaged or chosen by magnitude. Update GUIDE-IEI's
pinned essential package and rerun essential setup, then reannotate affected VCFs;
existing annotation outputs do not change automatically. CADD and SpliceAI scores
are unchanged by this correction. Historical immutable revisions remain available
for reproducibility, but the initial AlphaMissense table should not be used for
new annotations.
| Component | Rows | Data, index and notices |
|---|---|---|
| alphamissense | 67,723,760 | 665.9 MB |
| cadd | 107,765,334 | 527.0 MB |
| spliceai | 2,193,822 | 22.9 MB |
Coverage and matching
- AlphaMissense: GRCh38 MANE Select v1.5 transcript selection from the official canonical and isoform tables. Exact allele + stable transcript ID + amino-acid change, with source and MANE versions retained. Canonical predictions take precedence for overlapping keys; ambiguous source keys are withheld. Deduplication uses the same version-stripped transcript key as runtime lookup. Within that source, the exact pinned MANE version wins over other versions; conflicts remaining in the winning tier are withheld, not chosen by score. Predictions are not recomputed. Not every MANE transcript has source scores.
- CADD 1.7: SNVs in the Ensembl 113 protein-coding CDS + stop-codon union. Original Phred score only. No indels, raw score or intronic padding. Allele-scoped.
- SpliceAI: MANE Select v1.5 first/last two intronic bases, SNVs only, D=500, masked M=1. Original gene names and all DS/DP scores are retained. Summary and GTF gene names are accepted only when anchored to the exact MANE transcript.
The source-pinned preparation manifests describe modifications, counts and hashes.
validation.json records full index counts, biological checks and isolated
installation/repair tests; vep-validation.json records real VEP113 score checks.
AlphaMissense validation includes a complete normalized-key uniqueness scan and
version-collision regressions for CIITA, TAPBP, CFH, DMD, ATRX, HNF1A, COL1A1,
MAPT, WT1 and EIF4G3. The last three recover the exact pinned MANE-version score.
Every output row is also compared with the original versioned table under this
selection rule; all recovered transcript versions are checked against the
Ensembl 113 GTF used by the annotation engine.
These are not a claim of complete clean-machine or clinical validation.
Licenses
These datasets are not MIT-licensed. GUIDE-IEI's MIT software license does
not replace component data terms. Each component includes LICENSE-NOTICES.json
with attribution, source notices, modifications, links and license text.
- AlphaMissense: upstream project currently states CC BY 4.0 for predictions; historical notices from the downloaded tables are retained in the component. Official project.
- CADD: upstream noncommercial-use terms apply; commercial use requires separate arrangements. Official terms/downloads.
- SpliceAI source dataset: CC BY-NC 4.0 with retained upstream and third-party notices. Pinned source.
No additional rights or endorsement by the upstream authors are implied. Review the applicable component terms before use.
Use
GUIDE-IEI downloads separately pinned components and verifies their SHA-256 hashes. BGZF tables/VCF and tabix indexes are provided separately for resumable transfers. ClinVar/ClinGen remain separate official-source downloads; VEP references remain in their existing reference mirror.
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