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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)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.
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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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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