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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 21 new columns ({'response_format', 'l1', 'legal_text_en', 'answer', 'exam', 'question', 'legal_basis', 'id', 'scoring_rubric', 'evidence_url', 'l3', 'legal_basis_en', 'legal_text', 'reference_answer', 'license', 'source_url', 'language', 'options', 'l2', 'license_url', 'license_en'}) and 3 missing columns ({'description_en', 'field', 'description'}).

This happened while the csv dataset builder was generating data using

hf://datasets/EDU-Foundation/EDU-1.0/items/china.csv (at revision b2a3bff7ba4284d973b08a59ace46cb53926a290), ['hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/data_dictionary.csv', 'hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/items/china.csv', 'hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/items/india.csv', 'hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/items/us.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/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, 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 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              l1: string
              l2: string
              l3: string
              exam: string
              language: string
              response_format: string
              question: string
              options: string
              answer: string
              reference_answer: string
              scoring_rubric: string
              source_url: string
              license: string
              license_en: string
              license_url: string
              legal_basis: string
              legal_basis_en: string
              legal_text: string
              legal_text_en: string
              evidence_url: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2748
              to
              {'field': Value('string'), 'description': Value('string'), 'description_en': Value('string')}
              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 1379, 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 956, 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 1702, 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 1858, 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 21 new columns ({'response_format', 'l1', 'legal_text_en', 'answer', 'exam', 'question', 'legal_basis', 'id', 'scoring_rubric', 'evidence_url', 'l3', 'legal_basis_en', 'legal_text', 'reference_answer', 'license', 'source_url', 'language', 'options', 'l2', 'license_url', 'license_en'}) and 3 missing columns ({'description_en', 'field', 'description'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/EDU-Foundation/EDU-1.0/items/china.csv (at revision b2a3bff7ba4284d973b08a59ace46cb53926a290), ['hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/data_dictionary.csv', 'hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/items/china.csv', 'hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/items/india.csv', 'hf://datasets/EDU-Foundation/EDU-1.0@b2a3bff7ba4284d973b08a59ace46cb53926a290/items/us.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)

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field
string
description
string
description_en
string
id
新编号,不含原题信息:国家-题型-序号
New identifier with no information about the original item: country-format-number
l1
分类第1层:国家
Hierarchy level 1: country
l2
分类第2层:国家内的考试领域
Hierarchy level 2: examination-domain group within country
l3
分类第3层:考试领域内的分析类别
Hierarchy level 3: analysis category within the examination domain
exam
对齐考试体系
Intended examination family: Praxis, NTCE or KVS
language
题目语言,由题干文字判断(zh、en、hi)
Language of the item, determined from the question text (zh, en, hi)
response_format
selected_response 八选一单选题;constructed_response 主观题
selected_response: single-answer item with eight options; constructed_response: open-ended item
question
题干
Question text
options
选项 A–H(JSON),主观题为空
Options A–H (JSON); empty for constructed-response items
answer
正确选项字母,主观题为空
Letter of the correct option; empty for constructed-response items
reference_answer
参考答案,选择题为空
Reference answer; empty for selected-response items
scoring_rubric
评分标准,选择题为空
Scoring rubric; empty for selected-response items
source_url
知识来源网址,多个网址换行分隔;许可元数据按 URL 对应,不含来源原文
Knowledge source URLs separated by newlines; multi-source license metadata are JSON arrays of source_url/value objects; source text is not included
license
来源的授权
License of the source
license_en
license 的英文版本
English version of license
license_url
授权条款网址
URL of the license terms
legal_basis
判断授权的依据,法律类写到具体条款
Basis for the license determination; for legal sources, cites the specific provision
legal_basis_en
legal_basis 的英文版本
English version of legal_basis
legal_text
法条原文摘录
Excerpt of the provision in its original language
legal_text_en
legal_text 的英文版本;中文和繁体中文条文是非官方翻译
English version of legal_text; translations of Chinese text are unofficial
evidence_url
依据的出处网址
URL where the basis can be checked
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End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Final Release: Items with Reproducible Knowledge Sources

中文版:README.md

This release contains 5,551 items. items/china, items/us and items/india are each provided as .jsonl and .csv. Fields are described in data_dictionary.csv.

File Selected-response Constructed-response Total
china 1,735 120 1,855
us 1,782 120 1,902
india 1,794 0 1,794

This directory contains only fields that can be derived from the knowledge sources. It does not include the identifiers, years, modules, tracks or knowledge points of the original exams. Item IDs are newly assigned and carry no information about the original items. The items were originally written to cover the knowledge tested by teacher exams. This directory does not reflect that link, so refer to the methods section of the paper when using or citing the data.

Each item records one knowledge source (source_url). The source text is not included, so open the URL to read it. Web pages may change over time.

Questions, options, reference answers and scoring rubrics of Chinese items remain in Chinese. license, legal_basis and legal_text each have an English column (_en). English versions of Chinese legal text are unofficial translations, and the original text prevails.

Source verification

Of the 5,551 items, 1,095 were reviewed by a person. Of those, the answer to 525 can be derived from the question and options alone, and the support for 12 is weak. The sources for the other 4,456 items were selected by a program and have not been confirmed by a person, so the source alone may not be enough to choose the correct answer.

In a manual check of 100 items whose correct option appeared verbatim in a program-selected excerpt, the excerpt alone was not enough to choose the answer for 47.

Source licenses

The licenses below apply to the source pages, not to this dataset.

license_en Items Basis (legal_basis_en)
CC BY-SA 4.0 4,527 Page footer statements on Wikipedia and Wiktionary
Not protected by copyright law 979 Copyright Law of the People's Republic of China (2020 Amendment), Article 5, Item (1)
Public domain in the U.S. 30 17 U.S.C. §105(a), §101
Public domain (copyright term expired) 12 Copyright Law of the People's Republic of China (2020 Amendment), Article 23, Paragraph 1
CC BY-ND 3.0 TW 2 Statement on the public licensing site for the Mandarin dictionaries of the Ministry of Education (Taiwan)
PSF-2.0 1 Official Python "History and License" page
  • Of the 979 items marked "Not protected by copyright law", 463 cite curriculum standards issued by the Chinese Ministry of Education. The notice issuing them is an administrative document, but no court ruling confirms that the full text of each subject standard falls under Article 5.
  • Some Chinese government websites restrict reposting of their content. This dataset only links to those pages. If you copy page content, follow the site's statement and the applicable license.
  • Items whose only sources were restricted pages (Baidu Baike, training-company websites, textbook sample chapters and similar) are not in this dataset.
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