SchemaBio_Bundle

Error code:   DatasetGenerationError
Exception:    ArrowCapacityError
Message:      array cannot contain more than 2147483646 bytes, have 12052107539
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1594, in _prepare_split_single
                  writer.write(example)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 682, in write
                  self.write_examples_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
                  self._write_batch(batch_examples=batch_examples)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 752, in _write_batch
                  arrays.append(pa.array(typed_sequence))
                                ^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 256, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 118, in pyarrow.lib._handle_arrow_array_protocol
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 291, in __arrow_array__
                  out = self._arrow_array(type=type)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 340, in _arrow_array
                  out = pa.array(cast_to_python_objects(examples, only_1d_for_numpy=True))
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 375, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 46, in pyarrow.lib._sequence_to_array
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 12052107539
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1607, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 783, in finalize
                  self.write_examples_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
                  self._write_batch(batch_examples=batch_examples)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 752, in _write_batch
                  arrays.append(pa.array(typed_sequence))
                                ^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 256, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 118, in pyarrow.lib._handle_arrow_array_protocol
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 291, in __arrow_array__
                  out = self._arrow_array(type=type)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 340, in _arrow_array
                  out = pa.array(cast_to_python_objects(examples, only_1d_for_numpy=True))
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 375, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 46, in pyarrow.lib._sequence_to_array
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 12052107539
              
              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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1438, 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 1616, 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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"cHN0MAUKAwAAAAEEAwAAAAEEAgAAAVAEEShCaW86OkVuc0VNQkw6OkZ1bmNnZW46OlJlZ3VsYXRvcnlGZWF0dXJlAwAAAA0EAwA(...TRUNCATED)	homo_sapiens_merged/115_GRCh37/1/1000001-2000000_reg	"hf://datasets/pzweuj/SchemaBio_Bundle@2f0de0191165e3e0af6788ef17943a96cd76c019/hg19/homo_sapiens_me(...TRUNCATED)
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End of preview.

🧬 SchemaBio Bundle

English | 中文

📖 概述

本数据集是一个全面、精心整理的一站式注释库，专为生物信息学和基因组变异分析设计（如 WES/WGS 流水线）。它将核心的变异效应预测器、临床数据库和基因组参考文件整合到统一的资源库中，大幅减少数据收集、格式对齐和预处理的时间。

🗂️ 包含数据与来源

本资源库包含以下类别的数据：

变异效应预测器与评分： AlphaMissense、EVOScore2、Pangolin。
临床与人群频率数据： gnomAD、CIViC、mskcc_hotspot。
基因组参考与区域： UCSC 注释文件（cytoband、ncbiRefSeq.gtf）、Ensembl 参考文件（GRCh38/37 FASTA、vep_cache）、ManeSelectBed。

⚖️ 许可证与商业使用

好消息：本资源库包含的所有基础数据集目前均允许商业使用，前提是用户严格遵守各自的署名和相同方式共享要求。

由于本资源库作为聚合器，它不受单一许可证约束。您必须遵守各基础数据源的单独许可证。下表概述了每个组件的具体许可证：

📊 数据库许可证汇总

数据库 / 来源	版本	官方许可证	商业使用	再分发	关键要求与说明
AlphaMissense	v3	CC BY 4.0	✅ 允许	✅ 允许	必须署名 DeepMind Technologies Limited。
EVOScore2	20260128	MIT	✅ 允许	✅ 允许	必须包含原始版权声明。
Pangolin	v1	CC BY 4.0	✅ 允许	✅ 允许	必须提供适当署名。
ManeSelectBed	v49	MIT	✅ 允许	✅ 允许	必须包含原始版权声明。
mskcc_hotspot	v2	ODbL	✅ 允许	✅ 允许	相同方式共享：如果您修改/改编此数据库，衍生作品也必须采用 ODbL 许可证。
CIViC	20260301	CC0 1.0	✅ 允许	✅ 允许	公共领域。无限制。
gnomAD	v4.1	无限制	✅ 允许	✅ 允许	Broad Institute 声明对使用无限制。
UCSC Data	/	公共领域	✅ 允许	✅ 允许	公共资助数据，可自由用于任何用途。
Ensembl Data	release 115	无限制	✅ 允许	✅ 允许	EMBL-EBI 对使用或再分发无限制。

免责声明：本组合数据集的创建者对原始源数据不主张任何所有权。用户需自行确保其下游使用符合原始数据提供者的条款。

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