Datasets:

laion
/

dramabox-voice-acting-data-annotated

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              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 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

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DramaBox Voice Acting Data - Annotated

Post-processed version of laion/dramabox-voice-acting-data.

Processing Pipeline

RE-USE Speech Enhancement (nvidia/RE-USE) - Applied to non-singing samples for noise reduction
LavaSR Super Resolution (YatharthS/LavaSR) - Audio bandwidth extension to 48kHz
Whisper Turbo ASR - Full transcript with word-level timestamps
Scene Split - Audio split at CUT TO: transition into two parts (Part 1 + Part 2)
VoiceCLAP Large Embeddings (laion/voiceclap-large) - 3584-dim voice embeddings per part

Purpose

Each DramaBox sample contains two emotional scenes from the same speaker separated by "CUT TO:". By splitting into parts, we create paired clips of the same voice identity with different emotions, enabling training of voice acting systems that maintain speaker consistency across emotional transitions.

Format

MP3 files: 256kbps mono 48kHz
Annotation JSON per sample with ASR, timestamps, embeddings, and metadata
Packed in tar files matching the source dataset structure

Files per sample

{prompt_id}_seed{NN}_part1.mp3 - Scene 1 audio
{prompt_id}_seed{NN}_part2.mp3 - Scene 2 audio
{prompt_id}_seed{NN}.json - Full annotations

Models Used

nvidia/RE-USE - Speech enhancement
YatharthS/LavaSR - Super resolution
openai/whisper turbo - ASR
laion/voiceclap-large - Voice embeddings
ResembleAI/DramaBox - Source TTS model

Downloads last month: 170

Total file size:

22.2 GB