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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<id: string, names: list<item: string>, dbLinks: struct<icd10: list<item: string>, mesh: list<item: string>>, category: string>
to
{'id': Value(dtype='string', id=None), 'names': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'dbLinks': {'icd10': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'mesh': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}, 'category': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None)}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<id: string, names: list<item: string>, dbLinks: struct<icd10: list<item: string>, mesh: list<item: string>>, category: string>
              to
              {'id': Value(dtype='string', id=None), 'names': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'dbLinks': {'icd10': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'mesh': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}, 'category': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None)}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, 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 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
string
disease
dict
riskFactors
list
H00001
{ "id": "H00001", "names": [ "B-cell acute lymphoblastic leukemia", "B-cell acute lymphocytic leukemia" ], "dbLinks": { "icd10": [ "C83.5", "C91.0" ], "mesh": [ "D054198" ] }, "category": "Cancer", "description": "Acute lymphocytic leukemia (ALL) is a clonal stem ...
[ { "text": "obesity", "score": 13.140652656555176, "articlesIDs": [ "32706183" ] }, { "text": "underweight (or 2.11, 95% ci 1.56-2.85) and obesity", "score": 13.092214584350586, "articlesIDs": [ "32706183" ] }, { "text": "high viral burden with ebv", "score...
H00002
{ "id": "H00002", "names": [ "T-cell acute lymphoblastic leukemia", "T-cell acute lymphocytic leukemia" ], "dbLinks": { "icd10": [ "C83.5", "C91.0" ], "mesh": [ "D054218" ] }, "category": "Cancer", "description": "Acute lymphocytic leukemia (ALL) is a clonal stem ...
[ { "text": "patients with good-risk cytogenetics", "score": 8.989250183105469, "articlesIDs": [ "29131699" ] }, { "text": "patients with high-risk genetics", "score": 6.717743873596191, "articlesIDs": [ "29131699" ] }, { "text": "patients with high-risk genetic...
H00003
{ "id": "H00003", "names": [ "Acute myeloid leukemia" ], "dbLinks": { "icd10": [ "C92.0" ], "mesh": [ "D015470" ] }, "category": "Cancer", "description": "Acute myeloid leukemia (AML) is a disease that is characterized by uncontrolled proliferation of clonal neoplastic cell...
[ { "text": "mutations in chip-related genes", "score": 14.093645095825195, "articlesIDs": [ "35492819" ] }, { "text": "active smoking", "score": 14.088956832885742, "articlesIDs": [ "35128571" ] }, { "text": "platelet count above 100 × 10/l and active smoking",...
H00004
{ "id": "H00004", "names": [ "Chronic myeloid leukemia" ], "dbLinks": { "icd10": [ "C92.1" ], "mesh": [ "D015464" ] }, "category": "Cancer" }
[ { "text": "paternal grandfathers and grandmothers of people with achondroplasia", "score": 14.025308609008789, "articlesIDs": [ "15372518" ] }, { "text": "metabolically unhealthy obesity", "score": 13.965067863464355, "articlesIDs": [ "37114451" ] }, { "text":...
H00005
{ "id": "H00005", "names": [ "Chronic lymphocytic leukemia", "SUPERGRP Non-Hodgkin lymphoma [DS:H02418]" ], "dbLinks": { "icd10": [ "C91.1" ], "mesh": [ "D015451" ] }, "category": "Cancer" }
[ { "text": "relatives of mgus patients", "score": 14.052873611450195, "articlesIDs": [ "19182202" ] }, { "text": "patients with mgus", "score": 14.029006004333496, "articlesIDs": [ "9161471" ] }, { "text": "women with t2dm and with self-reported oral medication...
H00006
{ "id": "H00006", "names": [ "Hairy cell leukemia", "SUPERGRP Non-Hodgkin lymphoma [DS:H02418]" ], "dbLinks": { "icd10": [ "C91.4" ], "mesh": [ "D007943" ] }, "category": "Cancer" }
[ { "text": "patients with hairy cell leukemia", "score": 13.864240646362305, "articlesIDs": [ "17284716" ] }, { "text": "insecticides", "score": 13.615367889404297, "articlesIDs": [ "12148884", "9667691" ] }, { "text": "fungicides", "score": 13.531675...
H00007
{"id":"H00007","names":["Hodgkin lymphoma"],"dbLinks":{"icd10":["C81"],"mesh":["D006689"]},"category(...TRUNCATED)
[{"text":"patients with hiv infection","score":14.161015510559082,"articlesIDs":["25885746"]},{"text(...TRUNCATED)
H00008
{"id":"H00008","names":["Burkitt lymphoma","SUPERGRP Non-Hodgkin lymphoma [DS:H02418]","Primary cen(...TRUNCATED)
[{"text":"herbal medicine use","score":13.765249252319336,"articlesIDs":["32257153"]},{"text":"ranci(...TRUNCATED)
H00009
{"id":"H00009","names":["Adult T-cell leukemia"],"dbLinks":{"icd10":["C91.5"],"mesh":["D015459"]},"c(...TRUNCATED)
[{"text":"strongyloidiasis and idh","score":13.7511568069458,"articlesIDs":["23592987"]},{"text":"ch(...TRUNCATED)
H00010
{"id":"H00010","names":["Multiple myeloma"],"dbLinks":{"icd10":["C90.0"],"mesh":["D009101"]},"catego(...TRUNCATED)
[{"text":"patients with as","score":14.083839416503906,"articlesIDs":["27534810"]},{"text":"patients(...TRUNCATED)
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