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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 5 new columns ({'teacher_profile_200', 'errors', 'teacher_profile', 'records', 'method'}) and 3 missing columns ({'status_code', 'source_type', 'count'}).

This happened while the csv dataset builder was generating data using

hf://datasets/kzoacn/china-advisor/metadata/cache_summary.tsv (at revision 0de1b3e70009d82eaa907bb816604be7cb9b948d), ['hf://datasets/kzoacn/china-advisor@0de1b3e70009d82eaa907bb816604be7cb9b948d/metadata/cache_status_summary.tsv', 'hf://datasets/kzoacn/china-advisor@0de1b3e70009d82eaa907bb816604be7cb9b948d/metadata/cache_summary.tsv', 'hf://datasets/kzoacn/china-advisor@0de1b3e70009d82eaa907bb816604be7cb9b948d/metadata/errors.tsv']

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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              school: string
              university: string
              records: int64
              teacher_profile: int64
              teacher_profile_200: int64
              errors: int64
              method: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1104
              to
              {'school': Value('string'), 'university': Value('string'), 'source_type': Value('string'), 'status_code': Value('int64'), 'count': Value('int64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 5 new columns ({'teacher_profile_200', 'errors', 'teacher_profile', 'records', 'method'}) and 3 missing columns ({'status_code', 'source_type', 'count'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/kzoacn/china-advisor/metadata/cache_summary.tsv (at revision 0de1b3e70009d82eaa907bb816604be7cb9b948d), ['hf://datasets/kzoacn/china-advisor@0de1b3e70009d82eaa907bb816604be7cb9b948d/metadata/cache_status_summary.tsv', 'hf://datasets/kzoacn/china-advisor@0de1b3e70009d82eaa907bb816604be7cb9b948d/metadata/cache_summary.tsv', 'hf://datasets/kzoacn/china-advisor@0de1b3e70009d82eaa907bb816604be7cb9b948d/metadata/errors.tsv']
              
              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.

school
string
university
string
source_type
string
status_code
int64
count
int64
nwpu
西北工业大学
teacher_profile
200
758
nwpu
西北工业大学
teacher_profile
404
5
nwpu
西北工业大学
teacher_profile
412
1,642
lzu
兰州大学
teacher_profile
200
59
lzu
兰州大学
teacher_profile
403
79
dlut
大连理工大学
teacher_profile
200
4
thu
清华大学
null
null
null
pku
北京大学
null
null
null
fdu
复旦大学
null
null
null
sjtu
上海交通大学
null
null
null
nju
南京大学
null
null
null
zju
浙江大学
null
null
null
ustc
中国科学技术大学
null
null
null
hit
哈尔滨工业大学
null
null
null
xjtu
西安交通大学
null
null
null
ruc
中国人民大学
null
null
null
buaa
北京航空航天大学
null
null
null
bit
北京理工大学
null
null
null
cau
中国农业大学
null
null
null
bnu
北京师范大学
null
null
null
muc
中央民族大学
null
null
null
nankai
南开大学
null
null
null
tju
天津大学
null
null
null
dlut
大连理工大学
null
null
null
neu
东北大学
null
null
null
jlu
吉林大学
null
null
null
tongji
同济大学
null
null
null
ecnu
华东师范大学
null
null
null
xmu
厦门大学
null
null
null
sdu
山东大学
null
null
null
ouc
中国海洋大学
null
null
null
whu
武汉大学
null
null
null
hust
华中科技大学
null
null
null
hnu
湖南大学
null
null
null
csu
中南大学
null
null
null
nudt
国防科技大学
null
null
null
sysu
中山大学
null
null
null
scut
华南理工大学
null
null
null
scu
四川大学
null
null
null
uestc
电子科技大学
null
null
null
cqu
重庆大学
null
null
null
nwpu
西北工业大学
null
null
null
lzu
兰州大学
null
null
null
nwafu
西北农林科技大学
null
null
null
seu
东南大学
null
null
null
ruc
null
null
null
null
ruc
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
buaa
null
null
null
null
bit
null
null
null
null
bit
null
null
null
null
bit
null
null
null
null
bit
null
null
null
null
bit
null
null
null
null
bit
null
null
null
null
cau
null
null
null
null
cau
null
null
null
null
bnu
null
null
null
null
bnu
null
null
null
null
bnu
null
null
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null
bnu
null
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null
bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
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bnu
null
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null
null
bnu
null
null
null
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bnu
null
null
null
null
End of preview.

China Advisor Cache

This dataset contains cached public web pages, API responses, and extracted text for Chinese university advisor/faculty pages.

Current 985 coverage report: 77977 metadata records, 71303 teacher_profile records, and 69186 status-200 teacher_profile records across 39 Project 985 schools.

Contents

  • archives/china-advisor-cache-2026-06-20.tar.zst: full cache archive preserving the local data/cache/... layout.
  • archives/china-advisor-cache-2026-06-20.tar.zst.sha256: SHA256 checksum for the archive.
  • metadata/CACHE_FORMAT.md: cache schema and metadata format.
  • metadata/REPORT.md: 985 crawl report.
  • metadata/cache_summary.tsv: per-school cache counts.
  • metadata/cache_summary.json: machine-readable per-school cache counts.
  • metadata/cache_status_summary.tsv: compact status-code notes for notable blocked profile candidates.
  • metadata/errors.tsv: respectful crawl error log.
  • configs/985_sources.yaml: 985 school seed source registry.
  • configs/985_*repair_sources.yaml: targeted central and college-level repair source registries.
  • scripts/crawl_985_cache.py: respectful staged crawler used for the 985 expansion.
  • scripts/repair_985_low_coverage.py: targeted repair crawler for Tsites portals and public API-backed portals.

Restore

From a checkout of this dataset repository:

tar --use-compress-program=zstd -xf archives/china-advisor-cache-2026-06-20.tar.zst

This recreates data/cache/<school>/{pages,text,metadata}/....

Crawl Notes

The cache includes records copied from the original local cache plus respectful 985-wide crawl and repair passes. The crawlers record blocked URLs and do not bypass robots.txt, TLS failures, login, captcha, CC defenses, or other access controls.

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