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 88, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6320, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: struct<manifests: list<item: struct<annotations: struct<io.containerd.image.name: string, org.opencontainers.image.ref.name: string>, digest: string, mediaType: string, size: int64>>, mediaType: string, schemaVersion: int64> vs list<item: struct<Config: string, LayerSources: struct<sha256:46ebb9708d90ca125de6f632c627a965fff981f98bac08b840911d9c6407c16c: struct<digest: string, mediaType: string, size: int64>, sha256:6c29fcb4757269c776beefb45e3d3d4e75fecf33238b1fd2bd81d8623df53c8b: struct<digest: string, mediaType: string, size: int64>, sha256:6c3d72b3145b3e6fd1cb9f40bec451653da28422c27bd821f217cffbf8e2ce56: struct<digest: string, mediaType: string, size: int64>, sha256:6f94328331290cbd81edab450664d42da7b64c191416c9346cd5d28c84f76035: struct<digest: string, mediaType: string, size: int64>, sha256:7048facb4789911e961266c055ebc5a2a8a9af4bdd790ebad037db272e427b99: struct<digest: string, mediaType: string, size: int64>, sha256:801c4088600fc9b873e1c1e87708adfce646f06b31d533588ee4781bc917b8ed: struct<digest: string, mediaType: string, size: int64>, sha256:9c9260b3edfbacb8893292607783a7a37716e7d3f0b2ff263b08ae834d9341d4: struct<digest: string, mediaType: string, size: int64>, sha256:ceb05265b4f31ee74f36d545d022d77e3db46e97912663000a77647f782358d2: struct<digest: string, mediaType: string, size: int64>, sha256:d2505f5a762d70dc386767149afedd28f8d33c71d0aa8ad88a71bd71940ffe01: struct<digest: string, mediaType: string, size: int64>>, Layers: list<item: string>, RepoTags: list<item: string>>>
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 68, 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.
DRIFT AgentDojo Slim Docker Release
这是 DRIFT + AgentDojo 的可迁移容器发布包。模型权重不包含在镜像中。
推荐：CUDA 12 兼容版
兼容版把推理服务与评测客户端分成两个镜像，支持 Docker 和 nerdctl/containerd：
drift-agentdojo-vllm-cu12.tar：官方 vLLM 0.6.6.post1，PyTorch 2.5.1，CUDA 12.4；drift-agentdojo-client.tar：DRIFT + AgentDojo 客户端；run-compatible.sh：自动检查、导入、启动、等待服务并运行评测；QUICKSTART.md：中文完整说明；checksums.sha256：下载完整性校验。
最低宿主 NVIDIA 驱动为 525.60.13。nvidia-smi 显示的 CUDA 版本不需要等于
容器 CUDA 版本；容器使用宿主驱动，但携带自己的 CUDA 用户态库。
pip install -U 'huggingface_hub[cli]'
hf download Jinming2002/drift-agentdojo-slim \
drift-agentdojo-vllm-cu12.tar drift-agentdojo-client.tar \
run-compatible.sh QUICKSTART.md checksums.sha256 \
--repo-type dataset --local-dir .
sha256sum -c checksums.sha256 --ignore-missing
chmod +x run-compatible.sh
WEIGHTS=/path/to/Llama-3.3-70B-Instruct PREFLIGHT_ONLY=1 ./run-compatible.sh
WEIGHTS=/path/to/Llama-3.3-70B-Instruct ./run-compatible.sh
nerdctl 用户设置：
CONTAINER_RUNTIME=nerdctl NERDCTL_NAMESPACE=default \
WEIGHTS=/path/to/Llama-3.3-70B-Instruct PREFLIGHT_ONLY=1 ./run-compatible.sh
原始 CUDA 13 一体化版
drift-agentdojo-slim.tar 保留作为原始版本，要求 NVIDIA 驱动 580 或更高，
使用 run.sh 启动。
已验证范围
兼容版已在 4 x NVIDIA RTX A6000、驱动 580.173.02 上验证：
- 容器内 CUDA 可用并完成真实张量计算；
- vLLM CUDA 12.4 服务加载真实 TinyLlama checkpoint；
/v1/models和/v1/completions返回有效结果；- DRIFT/AgentDojo 客户端镜像可连接服务并完成补全请求；
run-compatible.sh通过 Docker 完整预检。- 两个 tar 均通过官方 nerdctl 2.3.5 + containerd 2.3.3 实际导入；
- nerdctl 导入后的客户端容器可以正常创建并退出。
正式 Llama-3.3-70B 仍需要运行方提供约 131 GiB 的 gated 权重，以及至少约
150 GiB 总显存。详细要求和错误处理见 QUICKSTART.md。
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