Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
学段: string
学科: string
题型: string
题源: string
来源题号: string
题干: string
答案: string
步骤: string
选项: struct<A: string, B: string, C: string, D: string>
child 0, A: string
child 1, B: string
child 2, C: string
child 3, D: string
知识点: string
to
{'学段': Value('string'), '学科': Value('string'), '题型': Value('string'), '题源': Value('string'), '来源题号': Value('string'), '题干': Value('string'), '答案': Value('string'), '步骤': Value('string'), '知识点': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
学段: string
学科: string
题型: string
题源: string
来源题号: string
题干: string
答案: string
步骤: string
选项: struct<A: string, B: string, C: string, D: string>
child 0, A: string
child 1, B: string
child 2, C: string
child 3, D: string
知识点: string
to
{'学段': Value('string'), '学科': Value('string'), '题型': Value('string'), '题源': Value('string'), '来源题号': Value('string'), '题干': Value('string'), '答案': Value('string'), '步骤': Value('string'), '知识点': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
DM0022 · K12 Question Samples (Primary School) / K12 学科科目样例（小学）
| Item / 项目 | Value / 值 |
|---|---|
| Dataset ID / 数据集编号 | DM0022 |
| Files / 数据文件 | 6 |
| Size / 数据体积 | 7.78 KB |
| Provided by / 提供方 | Zovda |
| Contact / 联系邮箱 | lucas@zovda.com |
Overview / 简介
Primary-school samples: 6 files and 18 questions across math, Chinese and English, covering four formats — single-choice, true/false, problem solving and sentence rewriting.
小学学段数学、语文、英语 3 科共 6 个样例文件、18 题，覆盖单项选择、判断、解答与句子改写 4 种题型。
What's inside / 数据内容
- 6 JSONL files: math 3 (single-choice, true/false, problem solving — 9 questions), Chinese 2 (true/false, sentence rewriting — 6), English 1 (single-choice — 3).
- 6 个 JSONL 文件：数学 3 个（单选、判断、解答，共 9 题）、语文 2 个（判断、句子改写，共 6 题）、英语 1 个（单选，3 题）。
- Every item carries prompt, answer, solution steps, knowledge point and source.
- 每题含题干、答案、解题步骤、知识点与题源。
Specifications / 规格
- Format: UTF-8 JSONL
- 格式：UTF-8 JSONL
- Scale: 6 files / 18 questions / 7.78 KB
- 规模：6 文件 / 18 题 / 7.78 KB
- QC: 18/18 items carry source and item number; problem-solving items include full step-by-step solutions
- 质检：18/18 题含题源与来源题号；解答题含完整解题步骤
Suitable tasks / 适用任务
- Primary-school subject QA and problem-solving training
- 小学学科问答与解题训练
- Lower-grade benchmark construction
- 低学段评测集构建
- Knowledge-point tagging
- 题目知识点打标
Files / 文件清单
| # | File | Size |
|---|---|---|
| 1 | dm0022/小学/数学/判断题/样例.jsonl |
1.17 KB |
| 2 | dm0022/小学/数学/单项选择题/样例.jsonl |
1.38 KB |
| 3 | dm0022/小学/数学/解答题/样例.jsonl |
1.68 KB |
| 4 | dm0022/小学/英语/单项选择题/样例.jsonl |
1.16 KB |
| 5 | dm0022/小学/语文/判断题/样例.jsonl |
1.12 KB |
| 6 | dm0022/小学/语文/句子改写题/样例.jsonl |
1.27 KB |
Usage / 使用方式
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Zovda/dm0022-k12-question-samples-primary",
repo_type="dataset",
local_dir="./dm0022-k12-question-samples-primary",
)
Rights and disclaimer / 授权与声明
Every item is attributed to its source paper and item number. Samples demonstrate schema and data conventions; contact us for licensing at scale.
题目来源标注到具体试卷与题号。样例用于展示字段结构与数据规范；规模化商用授权请联系我们。
This dataset is shared to demonstrate data organisation, technical specifications and delivery structure. For formal licensing, large-scale access or custom production, contact lucas@zovda.com.
本数据集仅用于展示数据组织方式、技术规格与交付结构。正式授权、规模化取数与定制生产请联系 lucas@zovda.com。
About Zovda / 关于 Zovda
Zovda builds, cleans, annotates and packages training data across video, audio, images, e-commerce image-text pairs, exam question banks, embodied AI and coding-agent corpora.
Zovda 提供多模态与文本训练语料的数据采集、清洗、标注与结构化交付服务，覆盖视频、音频、图像、电商图文、K12 与职业题库、具身智能、代码智能体等方向。
Contact / 联系方式: lucas@zovda.com
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