Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
big_homework — OpenML 表格任务作为大作业生成 source
用 OpenML 表格任务作为 source，批量生成"编程大作业"（题目 + 数据 + starter code + 参考基线）。
本仓库当前阶段上传的是 source 数据：5756 个 OpenML 监督学习任务。作业生成方案见 PLAN.md。
为什么用 OpenML
每个 OpenML task 都官方声明了预测目标（target）、官方 train/test 划分和评测指标， 因此由它派生的作业有明确任务和可判分的标准答案。（相比之下 Kaggle 的 dataset 只是上传的表格， 没有声明 target，不适合做可判分作业。）
内容
| 项 | 数量 |
|---|---|
| 有效任务 | 5756（分类 4392 + 回归 1364） |
| 带官方 train/test 划分 | 5601 |
| 总行数 | 约 4500 万 |
| 体积 | 约 66 GB |
文件
PLAN.md— 完整的大作业生成方案（产物结构、LLM 改写、baseline 打分、合格标准、CPU 筛选）collect_openml_v2.py— OpenML 采集器源码（v1 REST，免认证）index.jsonl— 全部 8664 个 task 的索引（含未下载的）data_shards/openml_tasks_part_*.tar.gz— source 数据分片data_shards/shard_manifest.json— task_id → 所在分片的映射SHARDS.md— 分片清单与解包说明
解包
# 解开任一分片即还原 tasks/<type>/openml_task_<id>/ 结构
for f in data_shards/openml_tasks_part_*.tar.gz; do tar -xzf "$f"; done
单任务目录结构：
tasks/<classification|regression>/openml_task_<id>/
task/task_meta.json # 官方 target、任务类型、评测指标、划分信息
dataset/full.csv # 完整数据
dataset/dataset_meta.json # 名称、license、citation、description、qualities
dataset/features.json # 每列类型/缺失/唯一值/是否 target
dataset/splits/repeat_0_fold_0/{train,test}.csv # 官方 CV 第 0 折
License
各数据集 license 各异（多数为 Public / CC；见每个任务的 dataset_meta.json 的 license 与 citation 字段）。
使用前请核对单个数据集的许可与引用要求。
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