The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in huggingface/policy-docs
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/", line 72, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 1904, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 597, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in huggingface/policy-docs

Need help to make the dataset viewer work? Open a discussion for direct support.

Public Policy at Hugging Face

AI Policy at Hugging Face is a multidisciplinary and cross-organizational workstream. Instead of being part of a vertical communications or global affairs organization, our policy work is rooted in the expertise of our many researchers and developers, from Ethics and Society Regulars and legal team to machine learning engineers working on healthcare, art, and evaluations.

What we work on is informed by our Hugging Face community needs and experiences on the Hub. We champion responsible openness, investing heavily in ethics-forward research, transparency mechanisms, platform safeguards, and translate our lessons to policy.

So what have we shared with policymakers?

Policy Materials

The following materials reflect what we find urgent to stress to policymakers at the time of the request for information and will be updated as materials are published.

Downloads last month