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 80, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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.

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Check out the documentation for more information.

case-env

Clinical Agents for Seeking Evidence - the conda environment package for case-8b training and benchmark evaluation in the paper From Given to Gathered Evidence: Agentic Learning for Longitudinal Medical Reasoning. A single compressed tar that extracts directly into a ready environment, bit-identical to the stack that produced all published case-8b runs - no dependency resolution, no rebuild.

Contents: Python 3.10, PyTorch 2.11.0 (CUDA 13.0), vLLM 0.26.0, transformers 5.14.1, Ray 2.55.1, LangGraph 1.2.9 (multi-turn tool-agent orchestration), verl 0.7.0 (rebuilt for agentic RL training: agent-loop state machine and related adaptations, based on upstream verl 0.7.0), flash-attn / FLA / FlashInfer stack
Size: 12.6 GB tar; about 12 GB on disk after extraction
Install: the tar's top-level directory is case/, and bin/ shebangs are pre-rewritten to /opt/conda/envs/case, so tar -xf case_env_0904.tar -C /opt/conda/envs yields a ready env named case.
Checksum: sha256 abf5016f171887449c41fb6d7aaec95e2eaa79439e35fd2443736f3713a8fea8
Verify: sha256sum -c case_env_0904.tar.sha256 then /opt/conda/envs/case/bin/python -c "import torch, vllm, verl"
Runtime exports (already baked into the released run scripts): PYTHONPATH=<repo>/scripts/vllm_patch and VLLM_USE_FLASHINFER_SAMPLER=0 FLA_CACHE_RESULTS=0 OMP_NUM_THREADS=16
Requirements: Linux x86_64, NVIDIA driver with CUDA 13.0 support (>= 580 series), system gcc (for Triton runtime JIT); ~25 GB free disk during install (12.6 GB tar + about 12 GB extracted)
Docker alternative: case_0904_image.tar.gz -> docker load -> docker run --gpus all -it case:0904 bash
Data: UK Biobank-derived data is access-controlled and not included in this environment. Research use only.

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Total file size:

12.6 GB