Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
dataset_id: string
row: struct<Antibody: list<item: string>, Antibody RRID: struct<HPA004109: null, HPA034961: null, HPA0556 (... 55842 chars omitted)
child 0, Antibody: list<item: string>
child 0, item: string
child 1, Antibody RRID: struct<HPA004109: null, HPA034961: null, HPA055634: null, HPA051818: null, HPA005624: null, HPA07238 (... 39142 chars omitted)
child 0, HPA004109: null
child 1, HPA034961: null
child 2, HPA055634: null
child 3, HPA051818: null
child 4, HPA005624: null
child 5, HPA072383: null
child 6, HPA023778: null
child 7, HPA024451: null
child 8, HPA002024: null
child 9, CAB016385: null
child 10, CAB016769: null
child 11, HPA038922: null
child 12, HPA049176: null
child 13, HPA053326: null
child 14, HPA031659: null
child 15, HPA031661: null
child 16, CAB009569: null
child 17, HPA036359: null
child 18, HPA036360: null
child 19, CAB009250: null
child 20, HPA050779: null
child 21, HPA024301: null
child 22, HPA039978: null
child 23, HPA044431: null
child 24, HPA061463: null
child 25, HPA016594: null
child 26, HPA035008: null
child 27, CAB001951: null
child 28, HPA021939: null
child 29, HPA079652: null
child 30, HPA019358: null
child 31, HPA021780: null
child 32, HPA041325: null
child 33, HPA043508: null
child 34, HPA049606: null
child 35, HP
...
ry gland: string
child 33, stomach 1: string
child 34, urinary bladder: string
child 35, thyroid gland: string
child 36, prostate: string
child 93, RNA tissue specificity: string
child 94, RNA tissue specificity score: string
child 95, Reliability (IF): string
child 96, Reliability (IH): string
child 97, Reliability (Mouse Brain): string
child 98, Secretome function: string
child 99, Secretome location: string
child 100, Single cell expression cluster: string
child 101, Subcellular additional location: list<item: string>
child 0, item: string
child 102, Subcellular location: list<item: string>
child 0, item: string
child 103, Subcellular main location: list<item: string>
child 0, item: string
child 104, Tissue expression cluster: string
child 105, UniProt evidence: string
child 106, Uniprot: list<item: string>
child 0, item: string
row_index: int64
source_file: string
format: string
tables: list<item: struct<bytes: int64, category: string, dataset_id: string, output_file: string, rows: int (... 41 chars omitted)
child 0, item: struct<bytes: int64, category: string, dataset_id: string, output_file: string, rows: int64, source_ (... 29 chars omitted)
child 0, bytes: int64
child 1, category: string
child 2, dataset_id: string
child 3, output_file: string
child 4, rows: int64
child 5, source_file: string
child 6, status: string
category: string
total_rows: int64
to
{'category': Value('string'), 'dataset_id': Value('string'), 'format': Value('string'), 'tables': List({'bytes': Value('int64'), 'category': Value('string'), 'dataset_id': Value('string'), 'output_file': Value('string'), 'rows': Value('int64'), 'source_file': Value('string'), 'status': Value('string')}), 'total_rows': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
dataset_id: string
row: struct<Antibody: list<item: string>, Antibody RRID: struct<HPA004109: null, HPA034961: null, HPA0556 (... 55842 chars omitted)
child 0, Antibody: list<item: string>
child 0, item: string
child 1, Antibody RRID: struct<HPA004109: null, HPA034961: null, HPA055634: null, HPA051818: null, HPA005624: null, HPA07238 (... 39142 chars omitted)
child 0, HPA004109: null
child 1, HPA034961: null
child 2, HPA055634: null
child 3, HPA051818: null
child 4, HPA005624: null
child 5, HPA072383: null
child 6, HPA023778: null
child 7, HPA024451: null
child 8, HPA002024: null
child 9, CAB016385: null
child 10, CAB016769: null
child 11, HPA038922: null
child 12, HPA049176: null
child 13, HPA053326: null
child 14, HPA031659: null
child 15, HPA031661: null
child 16, CAB009569: null
child 17, HPA036359: null
child 18, HPA036360: null
child 19, CAB009250: null
child 20, HPA050779: null
child 21, HPA024301: null
child 22, HPA039978: null
child 23, HPA044431: null
child 24, HPA061463: null
child 25, HPA016594: null
child 26, HPA035008: null
child 27, CAB001951: null
child 28, HPA021939: null
child 29, HPA079652: null
child 30, HPA019358: null
child 31, HPA021780: null
child 32, HPA041325: null
child 33, HPA043508: null
child 34, HPA049606: null
child 35, HP
...
ry gland: string
child 33, stomach 1: string
child 34, urinary bladder: string
child 35, thyroid gland: string
child 36, prostate: string
child 93, RNA tissue specificity: string
child 94, RNA tissue specificity score: string
child 95, Reliability (IF): string
child 96, Reliability (IH): string
child 97, Reliability (Mouse Brain): string
child 98, Secretome function: string
child 99, Secretome location: string
child 100, Single cell expression cluster: string
child 101, Subcellular additional location: list<item: string>
child 0, item: string
child 102, Subcellular location: list<item: string>
child 0, item: string
child 103, Subcellular main location: list<item: string>
child 0, item: string
child 104, Tissue expression cluster: string
child 105, UniProt evidence: string
child 106, Uniprot: list<item: string>
child 0, item: string
row_index: int64
source_file: string
format: string
tables: list<item: struct<bytes: int64, category: string, dataset_id: string, output_file: string, rows: int (... 41 chars omitted)
child 0, item: struct<bytes: int64, category: string, dataset_id: string, output_file: string, rows: int64, source_ (... 29 chars omitted)
child 0, bytes: int64
child 1, category: string
child 2, dataset_id: string
child 3, output_file: string
child 4, rows: int64
child 5, source_file: string
child 6, status: string
category: string
total_rows: int64
to
{'category': Value('string'), 'dataset_id': Value('string'), 'format': Value('string'), 'tables': List({'bytes': Value('int64'), 'category': Value('string'), 'dataset_id': Value('string'), 'output_file': Value('string'), 'rows': Value('int64'), 'source_file': Value('string'), 'status': Value('string')}), 'total_rows': Value('int64')}
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.
Human Protein Atlas
Per-protein annotations from the Human Protein Atlas (proteinatlas.json), normalized to newline-delimited JSON with row-level provenance.
Processed and uploaded by the MegaData post-download pipeline (internal repo). Original source: https://www.proteinatlas.org/about/download.
Statistics
| Table files | 1 |
| Total rows | 20,162 |
| Total bytes | 148.67 MiB (155,892,614) |
Tables
| Table | Rows | Bytes |
|---|---|---|
annotation_human_protein_atlas_proteinatlas.json.gz.jsonl |
20,162 | 148.67 MiB |
Layout
.
├── _MANIFEST.json # aggregate manifest (per-table counts)
└── tables/<source_slug>.jsonl # normalized rows (one JSON object per line)
Each line in a tables/*.jsonl file is a JSON object with at least
dataset_id, row (the raw upstream row), row_index, and source_file
fields, so every row carries its upstream provenance.
Loading
hf download LiteFold/HumanProteinAtlas --repo-type dataset --local-dir ./human_protein_atlas
Programmatic streaming:
import json
from pathlib import Path
from huggingface_hub import snapshot_download
local = snapshot_download(repo_id="LiteFold/HumanProteinAtlas", repo_type="dataset")
for jsonl in sorted(Path(local, "tables").glob("*.jsonl")):
with jsonl.open() as f:
for line in f:
row = json.loads(line)
... # row["row"] is the upstream record
License
CC BY-SA 4.0 (Human Protein Atlas).
Citation
Uhlen M, et al. Tissue-based map of the human proteome. Science, 347(6220):1260419, 2015.
Provenance
Built from the local manifest entry human_protein_atlas of manifests/atlas_download_plan.json.
Pipeline source: megadata-post normalize --dataset human_protein_atlas --tables-only.
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