Dataset Viewer
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The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code:   InfoError
Exception:    HfHubHTTPError
Message:      504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/lingzhi227/WDL-bench/tree/2461a5b2fe206a4836a7f0d8c381c9fc08dc59ca?recursive=True&expand=False
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 638, in get_module
                  patterns = get_data_patterns(base_path, download_config=self.download_config)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 493, in get_data_patterns
                  return _get_data_files_patterns(resolver)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 290, in _get_data_files_patterns
                  data_files = pattern_resolver(pattern)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 372, in resolve_pattern
                  for filepath, info in fs.glob(fs_pattern, detail=True, **glob_kwargs).items():
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 521, in glob
                  return super().glob(path, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 604, in glob
                  allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 563, in find
                  out = self._ls_tree(path, recursive=True, refresh=refresh, revision=resolved_path.revision, **kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 446, in _ls_tree
                  self._ls_tree(
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 463, in _ls_tree
                  for path_info in tree:
                                   ^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 3140, in list_repo_tree
                  for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_pagination.py", line 37, in paginate
                  hf_raise_for_status(r)
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/lingzhi227/WDL-bench/tree/2461a5b2fe206a4836a7f0d8c381c9fc08dc59ca?recursive=True&expand=False

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.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

WDL-bench

Bioinformatics agent benchmark from WDL workflow pipelines (WARP, ENCODE, BioWDL).

Tasks

Derived from three major WDL workflow sources:

  • WARP (Broad Institute): 15 production genomics pipelines with Verify WDLs
  • ENCODE-DCC: 8 consortium-standard epigenomics/transcriptomics pipelines
  • BioWDL (Leiden UMC): 15 modular pipelines with pytest-workflow tests
  • Broad viral-pipelines: 5 viral genomics workflows with expected output JSONs

Companion to IWC-bench (75 Galaxy tasks), GTN-bench (53 Galaxy tasks), and nf-core-bench (69 Nextflow tasks).

Tasks (43 total)

Sources: BioWDL (15), WARP (15), ENCODE (8), Broad-viral (5).

Difficulty distribution: 3 easy, 16 medium, 23 hard, 1 expert — sorted by difficulty below.

# Task ID Source Difficulty Domain Assertions
1 chip_seq BioWDL easy epigenetics 4
2 gatk_preprocess BioWDL easy preprocessing 9
3 structural_variantcalling BioWDL easy variant-calling 20
4 aligning BioWDL medium alignment 8
5 bam_metrics BioWDL medium quality-control 70
6 bam_to_gvcf BioWDL medium variant-calling 3
7 expression_quantification BioWDL medium transcriptomics 32
8 gatk_variantcalling BioWDL medium variant-calling 51
9 jointgenotyping BioWDL medium variant-calling 12
10 pacbio_variantcalling BioWDL medium variant-calling 45
11 qc BioWDL medium quality-control 91
12 small_rna BioWDL medium transcriptomics 36
13 arrays WARP medium genomics 12
14 build_indices WARP medium genomics 1
15 dna_seq WARP medium genomics 5
16 paired_tag WARP medium genomics 12
17 peak_calling WARP medium genomics 1
18 rna_seq_warp WARP medium genomics 14
19 smartseq2_single_nucleus_multisample WARP medium genomics 2
20 germline_dna BioWDL hard variant-calling 261
21 rna_seq BioWDL hard transcriptomics 120
22 viral_assemble_denovo Broad-viral hard virology 10
23 viral_assemble_refbased Broad-viral hard virology 15
24 viral_load_illumina_fastqs Broad-viral hard virology 2
25 viral_load_illumina_fastqs_deplete Broad-viral hard virology 2
26 viral_sarscov2_lineages Broad-viral hard virology 4
27 atac_seq ENCODE hard epigenetics 24
28 chip_seq_encode ENCODE hard epigenetics 24
29 dnase_seq ENCODE hard epigenetics 125
30 hi_c ENCODE hard 3d-genome 43
31 long_read_rna_seq ENCODE hard transcriptomics 19
32 mirna_seq ENCODE hard transcriptomics 3
33 rna_seq_encode ENCODE hard transcriptomics 6
34 wgbs ENCODE hard epigenetics 18
35 atac WARP hard genomics 7
36 genotyping WARP hard genomics 5
37 multiome WARP hard genomics 12
38 optimus WARP hard genomics 7
39 reprocessing WARP hard genomics 1
40 slideseq WARP hard genomics 6
41 slidetags WARP hard genomics 12
42 snm3c WARP hard genomics 3
43 somatic_variantcalling BioWDL expert variant-calling 308

Quick start

git clone https://github.com/lingzhi227/WDL-bench.git
cd WDL-bench
python3 src/dataset.py list-tasks -v

Task format

tasks/{task-id}/
  prompt_open.md          # Biological question
  prompt_guided.md        # Pipeline invocation
  rubric.json             # Ground truth and scoring
  wdl/                    # WDL workflow files
  tests/                  # Test configs and data (BioWDL)

Citation

@article{voss2017full,
  title={Full-stack genomics pipelining with GATK4+ WDL+ Cromwell},
  author={Voss, Kate and Van der Auwera, Geraldine and Gentry, Jeff},
  year={2017}
}
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