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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 2 new columns ({'primary', 'node_id'}) and 2 missing columns ({'scanner', 'sigma'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mdsajjadullah/fl-chex-benchmark/Hosp_A.csv (at revision a81dc136660386d1e4d5554e9f26267caba92047), [/tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.csv)]
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 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
Lung Lesion: int64
Sex: string
Enlarged Cardiomediastinum: int64
Path: string
No Finding: int64
Support Devices: int64
Lung Opacity: int64
Edema: int64
Pleural Effusion: int64
Consolidation: int64
Atelectasis: int64
Fracture: int64
AP/PA: string
Age: int64
Pneumothorax: int64
Pleural Other: int64
Cardiomegaly: int64
Frontal/Lateral: string
Pneumonia: int64
node_id: string
primary: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2752
to
{'Lung Lesion': Value('int64'), 'Sex': Value('string'), 'Enlarged Cardiomediastinum': Value('int64'), 'Path': Value('string'), 'No Finding': Value('int64'), 'Support Devices': Value('int64'), 'Lung Opacity': Value('int64'), 'Edema': Value('int64'), 'Pleural Effusion': Value('int64'), 'Consolidation': Value('int64'), 'Atelectasis': Value('int64'), 'Fracture': Value('int64'), 'AP/PA': Value('string'), 'Age': Value('int64'), 'Pneumothorax': Value('int64'), 'Pleural Other': Value('int64'), 'Cardiomegaly': Value('int64'), 'Frontal/Lateral': Value('string'), 'Pneumonia': Value('int64'), 'scanner': Value('string'), 'sigma': 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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 ({'primary', 'node_id'}) and 2 missing columns ({'scanner', 'sigma'}).
This happened while the csv dataset builder was generating data using
hf://datasets/mdsajjadullah/fl-chex-benchmark/Hosp_A.csv (at revision a81dc136660386d1e4d5554e9f26267caba92047), [/tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.csv)]
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.
Lung Lesion int64 | Sex string | Enlarged Cardiomediastinum int64 | Path string | No Finding int64 | Support Devices int64 | Lung Opacity int64 | Edema int64 | Pleural Effusion int64 | Consolidation int64 | Atelectasis int64 | Fracture int64 | AP/PA string | Age int64 | Pneumothorax int64 | Pleural Other int64 | Cardiomegaly int64 | Frontal/Lateral string | Pneumonia int64 | scanner string | sigma float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | female | 0 | CheXpert-v1.0/train/patient55242/study2/view2_lateral.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 95 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient57633/study2/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | AP | 87 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient18256/study1/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | PA | 65 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient20733/study4/view1_frontal.jpg | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | AP | 74 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient43325/study1/view1_frontal.jpg | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 20 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient19343/study14/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 73 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
1 | male | 0 | CheXpert-v1.0/train/patient51617/study1/view1_frontal.jpg | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | AP | 69 | 0 | 1 | 0 | Frontal | 1 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient28540/study2/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | PA | 67 | 0 | 1 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient44786/study5/view1_frontal.jpg | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | AP | 47 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient43508/study1/view1_frontal.jpg | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | AP | 83 | 0 | 0 | 1 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient44910/study6/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | AP | 68 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient00634/study1/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | AP | 86 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient48620/study3/view1_frontal.jpg | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | AP | 80 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient49188/study1/view1_frontal.jpg | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | AP | 61 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
1 | male | 0 | CheXpert-v1.0/train/patient18544/study3/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 55 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
1 | female | 0 | CheXpert-v1.0/train/patient24985/study3/view1_frontal.jpg | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | AP | 65 | 0 | 1 | 0 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient48944/study1/view1_frontal.jpg | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | AP | 66 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient02993/study3/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 30 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient04135/study15/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | AP | 43 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient12427/study3/view1_frontal.jpg | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | AP | 58 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient10246/study3/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | AP | 79 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient48380/study1/view1_frontal.jpg | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | AP | 65 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
1 | female | 1 | CheXpert-v1.0/train/patient40063/study6/view1_frontal.jpg | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | AP | 74 | 0 | 1 | 1 | Frontal | 1 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient14257/study1/view2_lateral.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 77 | 0 | 0 | 1 | Lateral | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient21626/study3/view2_lateral.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 22 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient05189/study29/view1_frontal.jpg | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | AP | 74 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient44356/study2/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 77 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient04368/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | PA | 45 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient20565/study4/view1_frontal.jpg | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | AP | 77 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient19206/study6/view2_lateral.jpg | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | null | 64 | 0 | 0 | 1 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient39911/study3/view1_frontal.jpg | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | AP | 47 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient27520/study10/view1_frontal.jpg | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | AP | 81 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient03844/study3/view1_frontal.jpg | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | AP | 63 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
1 | male | 0 | CheXpert-v1.0/train/patient04654/study23/view1_frontal.jpg | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | AP | 59 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient42754/study3/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 64 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient10754/study2/view2_lateral.jpg | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | null | 54 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient61108/study1/view1_frontal.jpg | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | AP | 23 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient50090/study3/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 83 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
1 | female | 1 | CheXpert-v1.0/train/patient00255/study13/view1_frontal.jpg | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | AP | 48 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient00057/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | AP | 48 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient26791/study7/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | AP | 68 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient38868/study4/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 84 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient43117/study6/view1_frontal.jpg | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | AP | 79 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient17309/study1/view2_lateral.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 46 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient35120/study7/view1_frontal.jpg | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | AP | 66 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient62062/study1/view1_frontal.jpg | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | AP | 83 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient29732/study29/view1_frontal.jpg | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | PA | 42 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient27686/study3/view1_frontal.jpg | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | PA | 71 | 0 | 1 | 1 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient13417/study2/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | AP | 76 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient62493/study1/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 37 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient12919/study1/view1_frontal.jpg | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | PA | 61 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient15048/study2/view1_frontal.jpg | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | AP | 75 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient19062/study9/view1_frontal.jpg | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | AP | 52 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient16054/study8/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | AP | 57 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient06951/study10/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 23 | 0 | 0 | 1 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient02395/study12/view1_frontal.jpg | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | AP | 75 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient35375/study4/view1_frontal.jpg | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | AP | 22 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient27513/study2/view2_lateral.jpg | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | null | 76 | 0 | 0 | 1 | Lateral | 1 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient26758/study1/view1_frontal.jpg | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 86 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient30413/study6/view2_lateral.jpg | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | null | 53 | 1 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient12015/study4/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | AP | 65 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient43052/study12/view1_frontal.jpg | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | AP | 85 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient30694/study1/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | PA | 83 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient19185/study10/view1_frontal.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | AP | 64 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient58012/study1/view1_frontal.jpg | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | AP | 67 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient32465/study1/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | AP | 45 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient11228/study1/view2_lateral.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 81 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient03306/study1/view1_frontal.jpg | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | AP | 66 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient05705/study1/view1_frontal.jpg | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | PA | 30 | 0 | 1 | 0 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient31700/study2/view2_lateral.jpg | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 58 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient12111/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 49 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient26557/study15/view1_frontal.jpg | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | AP | 71 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient08493/study3/view2_lateral.jpg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 59 | 0 | 1 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient26305/study2/view2_lateral.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 21 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient43731/study5/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | AP | 31 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient15746/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 31 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient33584/study4/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | AP | 58 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient12701/study8/view2_lateral.jpg | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | null | 71 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient09876/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 49 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient10910/study2/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 48 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient24315/study1/view2_lateral.jpg | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | null | 67 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient16206/study29/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | AP | 47 | 1 | 0 | 1 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient48895/study2/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 58 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient46388/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | AP | 56 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient49520/study3/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 44 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient13874/study12/view1_frontal.jpg | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | AP | 76 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
1 | male | 0 | CheXpert-v1.0/train/patient28784/study15/view1_frontal.jpg | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | AP | 59 | 0 | 1 | 0 | Frontal | 1 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient05453/study1/view2_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | PA | 37 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 1 | CheXpert-v1.0/train/patient20128/study4/view1_frontal.jpg | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | AP | 83 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 1 | CheXpert-v1.0/train/patient27645/study4/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | AP | 75 | 0 | 0 | 1 | Frontal | 1 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient19652/study2/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | PA | 79 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient13903/study29/view1_frontal.jpg | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | AP | 66 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient10546/study1/view1_frontal.jpg | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | PA | 72 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient31095/study4/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | AP | 25 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient00046/study3/view2_lateral.jpg | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 93 | 0 | 0 | 0 | Lateral | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient34668/study3/view1_frontal.jpg | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | AP | 56 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient36774/study4/view1_frontal.jpg | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | AP | 64 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | female | 0 | CheXpert-v1.0/train/patient54584/study5/view1_frontal.jpg | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | AP | 66 | 0 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient25232/study2/view1_frontal.jpg | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | AP | 65 | 0 | 0 | 1 | Frontal | 0 | Canon_Medical | 0.2 |
0 | male | 0 | CheXpert-v1.0/train/patient40864/study1/view1_frontal.jpg | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | AP | 65 | 1 | 0 | 0 | Frontal | 0 | Canon_Medical | 0.2 |
End of preview.
FL-CheX: Federated Learning Benchmark for Chest Disease Classification
Author: Md. Sajjad Ullah
Affiliation: CSE, University of Asia Pacific, Bangladesh
Date: March 2026
Dataset Summary
FL-CheX is the first federated learning benchmark combining demographic, Non-IID, and scanner heterogeneity for chest disease classification research.
15 pre-partitioned FL client nodes built from CheXpert (Stanford) with real DenseNet-121 features.
Load Dataset
from datasets import load_dataset
ds = load_dataset("YOUR_USERNAME/fl-chex-benchmark")
Dataset Structure
- 5 Demographic nodes (age × gender)
- 5 Non-IID Hospital nodes (disease-specialized)
- 5 Scanner nodes (hardware quality variation)
Citation
@misc{flchex2026,
author = {Md. Sajjad Ullah},
title = {FL-CheX: A Federated Learning Benchmark},
year = {2026}
}
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