Error code:   ConfigNamesError
Exception:    TypeError
Message:      datasets.features.features.Features() argument after ** must be a mapping, not Audio
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  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 611, in get_module
                  metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data)
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/metadata.py", line 157, in from_dataset_card_data
                  param: value if param != "features" else Features._from_yaml_list(value)
                                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2138, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1984, in from_dict
                  return cls(**obj)
                         ^^^^^^^^^^
              TypeError: datasets.features.features.Features() argument after ** must be a mapping, not Audio

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Multi-Language Audio Collection (100K Hours)

This repository hosts a massive 100,000+ hour audio dataset across 22 languages, physically reorganized for Absolute 100% Data Visibility.

🏗️ Partitioned Root Structure (V26)

The repository has been flattened into 22 professional language folders. To bypass the "10,000 files per directory" limit on the Hugging Face Hub, the data is stored in partitioned sub-folders (e.g., english/part_1/).

Zero Clutter: Root folders data/ and shards/ have been eliminated.
Total Searchability: All shards are now directly accessible through their language-specific paths.
Audio Ready: Triple-Shield metadata ensures that all columns (audio, bytes, audio_bytes) render as playable audio in the Dataset Viewer.

🛡️ Omni-Router V5

This repository implements Omni-Router V5, which dynamically scouts all partitions and automatically sorts mixed shards into their correct linguistic configurations.

🌎 Global Language Support

All data is organized into 22 professional language configurations. Select your language from the subset dropdown to listen to audio and view transcripts.

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