Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 118, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 2392, in read_schema
file = ParquetFile(
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
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/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
AGHCD GVHD Dataset
This dataset contains cleaned data for acute graft-versus-host disease (GVHD) analysis.
Files
- Cleaned_Data_Final.parquet — Main dataset with 8,027 patients and 227 variables including demographics, transplant characteristics, GVHD outcomes, and survival data.
- 3.parquet — Variable descriptions and metadata (1,380 rows, 9 columns).
Source
Original data from GitHub repository: nihanjun000612-cyber/STAT5430-spTimer-reproduction
Variables
Key variable categories:
- Demographics: age, sex, race, ethnicity
- Transplant: graft type, conditioning, donor characteristics
- GVHD outcomes: acute GVHD grades, chronic GVHD status
- Comorbidities: prior medical conditions
- Survival: graft failure, relapse, transplant-related mortality
Usage
from datasets import load_dataset
dataset = load_dataset("cuimiandashi/aghcd-gvhd-dataset", data_files="Cleaned_Data_Final.parquet")
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