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
chunk_id: string
text: string
doc_title: string
article: string
college: string
level: string
cohort: string
year: int64
status: string
page_url: string
file_url: string
is_table: bool
schema_version: int64
bundle_name: string
artifact_contract: struct<model_name: string, model_revision: string, dimension: int64, chunk_count: int64, chunks_sha2 (... 11 chars omitted)
child 0, model_name: string
child 1, model_revision: string
child 2, dimension: int64
child 3, chunk_count: int64
child 4, chunks_sha256: string
files: list<item: struct<path: string, size: int64, sha256: string>>
child 0, item: struct<path: string, size: int64, sha256: string>
child 0, path: string
child 1, size: int64
child 2, sha256: string
generated_at: string
to
{'schema_version': Value('int64'), 'bundle_name': Value('string'), 'generated_at': Value('string'), 'artifact_contract': {'model_name': Value('string'), 'model_revision': Value('string'), 'dimension': Value('int64'), 'chunk_count': Value('int64'), 'chunks_sha256': Value('string')}, 'files': List({'path': Value('string'), 'size': Value('int64'), 'sha256': 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, 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 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
chunk_id: string
text: string
doc_title: string
article: string
college: string
level: string
cohort: string
year: int64
status: string
page_url: string
file_url: string
is_table: bool
schema_version: int64
bundle_name: string
artifact_contract: struct<model_name: string, model_revision: string, dimension: int64, chunk_count: int64, chunks_sha2 (... 11 chars omitted)
child 0, model_name: string
child 1, model_revision: string
child 2, dimension: int64
child 3, chunk_count: int64
child 4, chunks_sha256: string
files: list<item: struct<path: string, size: int64, sha256: string>>
child 0, item: struct<path: string, size: int64, sha256: string>
child 0, path: string
child 1, size: int64
child 2, sha256: string
generated_at: string
to
{'schema_version': Value('int64'), 'bundle_name': Value('string'), 'generated_at': Value('string'), 'artifact_contract': {'model_name': Value('string'), 'model_revision': Value('string'), 'dimension': Value('int64'), 'chunk_count': Value('int64'), 'chunks_sha256': Value('string')}, 'files': List({'path': Value('string'), 'size': Value('int64'), 'sha256': 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.
SWUFE RAG Reproducibility Data
西南财经大学教务可信 RAG 平台的可复现数据发布仓库，对应代码： https://github.com/xiaweiyi713/swufe-rag-platform。
内容
tier1-chunks.jsonl、tier1-sources.csv、tier1-manifest.json：计智学院 2023 级五个真实培养方案的 482 个知识块与来源登记；体积小，可在 CPU 上从公开 BGE 模型重建索引。swufe-rag-runtime-data-20260721.tar.gz：69,583 个知识块对应的完整运行数据包，含 SQLite、FAISS、向量及 SHA-256 清单。data-bundle.manifest.json与.sha256：完整包的逐文件校验清单和归档摘要。
完整包安装：
cd swufe-rag-platform/backend
python -m scripts.fetch_runtime_data --source huggingface
Tier 1 不需要 LLM Key；混合检索、来源绑定、引用和事实门均可离线验证。LLM 仅用于可选的自然语言润色，正式客户端采用 BYOK。
来源与权利
语料只来自 swufe.edu.cn 及其子域名上的公开通知、规章与培养方案。来源 URL 和文件 URL 保留在每个知识块及 sources.csv 中。本发布用于教学、研究与系统复现，不声称拥有原始学校文件的版权，也不授予超出原始发布者许可的再利用权。使用者应遵守原网站条款并在引用时回链官方来源。
不包含学生成绩、账号、登录后内容、API Key、模型权重或个人隐私数据。
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