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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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/data/[]/ID) changed from string to number in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/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.
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康熙字典原子级结构化与多标准对齐数据集 (KangXi Dictionary Structured Dataset)
📖 项目简介 (Introduction)
本数据集是一个针对经典古籍《康熙字典》进行原子级深度清洗、多源标准对齐与数字化重构的高质量开源知识库。通过多轮严格的脚本清洗、繁体规范化、画数纯数字转化以及异体字/地区标准对齐，将全量近 47,000 条字符数据打造成为一个兼具学术考证价值与现代机器友好性（Machine-Readable）的顶级古汉字数字资产。
📊 数据规模与核心指标 (Dataset Overview)
- 总记录条目数：46,981 条
- 涵盖内容：字头、拼音、IDS 字符结构树、地区标准说明（大陆 GB、台湾 CNS、日本 JIS、韩国 KS 等）、所属集与部首、总画与余画（纯数字格式）、Unicode 统一码、反切读音、原典古释义。
- 版权保护：内嵌全局数字指纹（SHA-256）及逐条明文系统版本标识（
system_V1.0_ID）。
🗂️ 核心字段结构说明 (Schema Definition)
本数据集采用规范的 JSON 格式存储，每个条目的核心字段包括：
id: 条目唯一检索标识字: 康熙字典原典字头拼音: 现代汉语拼音字结构: Unicode 标准 IDS 原子结构树字結構說明: 地区标准归属对照所屬集/所屬部: 字典收录归属与部首總畫/餘畫: 经清洗的纯数字笔画数統一碼: 国际标准 Unicode 编码讀音: 传统反切与音韵标注古釋義: 原汁原味的《康熙字典》训诂释义system_V1.0_ID: 逐条明文版权与系统版本指纹标识（位于条目底部）
🛡️ 数字版权与开源声明 (License & Watermark)
- 开源许可：采用 CC BY-NC 4.0 协议授权，仅限学术研究与非商业开源交流使用。
- 数字水印防护：内嵌全局加密数字指纹及逐条明文追踪 ID，有效保护开源成果。
license: cc-by-nc-4.0 language: - zh pretty_name: KangXi-Dictionary-Structured task_categories: - text-classification tags: - kangxi - kangxi-dictionary - chinese-characters - digital-humanities - nlp - historical-text size_categories: - 10K<n<100K
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