Datasets:
The dataset viewer is not available for this subset.
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/folder_based_builder/folder_based_builder.py", line 212, in _split_generators
raise ValueError(
f"Metadata files {downloaded_metadata_file} and {features_per_metadata_file[0][0]} have different features: {features_per_metadata_file[0]} != {metadata_features}"
)
ValueError: Metadata files hf://datasets/danielrosehill/Proofed-ASR-Cleanup-Training-Data@e886d7172f750e1c48a9663e9cb0a1375332cf49/data/test/metadata.jsonl and hf://datasets/danielrosehill/Proofed-ASR-Cleanup-Training-Data@e886d7172f750e1c48a9663e9cb0a1375332cf49/data/train/metadata.jsonl have different features: ('hf://datasets/danielrosehill/Proofed-ASR-Cleanup-Training-Data@e886d7172f750e1c48a9663e9cb0a1375332cf49/data/train/metadata.jsonl', {'file_name': Value('string'), 'id': Value('string'), 'text': Value('string'), 'duration_s': Value('float64'), 'categories': List(Value('string')), 'mode': Value('string'), 'device': Value('string'), 'microphone': Value('string'), 'environment': Value('string'), 'sample_rate': Value('int64'), 'recorded_at': Value('string'), 'prompt_id': Value('string'), 'prompt_source': Value('string'), 'spoken_text': Value('string'), 'verbatim_text': Value('null'), 'aside_text': Value('string'), 'aside_position': Value('string'), 'paragraph_text': Value('string'), 'prompt_kind': Value('string'), 'task': Value('string'), 'tasks': List(Value('string')), 'source_dataset': Value('string'), 'source_revision': Value('string'), 'text_before_normalization': Value('string'), 'target_terms': List(Value('null'))}) != {'file_name': Value('string'), 'id': Value('string'), 'text': Value('string'), 'duration_s': Value('float64'), 'categories': List(Value('string')), 'mode': Value('string'), 'device': Value('string'), 'microphone': Value('string'), 'environment': Value('string'), 'sample_rate': Value('int64'), 'recorded_at': Value('string'), 'prompt_id': Value('string'), 'prompt_source': Value('string'), 'spoken_text': Value('string'), 'verbatim_text': Value('null'), 'aside_text': Value('null'), 'aside_position': Value('null'), 'paragraph_text': Value('null'), 'prompt_kind': Value('null'), 'task': Value('string'), 'tasks': List(Value('string')), 'source_dataset': Value('string'), 'source_revision': Value('string')}
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.
Proofed ASR Cleanup Training Data
Audio paired with clean, proofed target text for training an ASR model to do its own post-processing: no fillers, repeats or false starts, numbers and money as digits, self-corrections applied, asides to other people left out, paragraph breaks, whispered speech. Built for Proofed, a fine-tune of NVIDIA Parakeet TDT 0.6B v2 that writes clean text in one pass with no LLM afterwards.
Status (2026-10-24): first snapshot, small. About 75 minutes, single speaker. The per-task takes are still being recorded (targets: recording-targets.md); this repo is rebuilt as they land. Task definitions: taxonomy.
Contents
| Task | Train takes | Train min | Test takes |
|---|---|---|---|
| replay (plain English, against forgetting) | 344 | 34.3 | 19 |
| currency | 116 | 11.1 | 0 |
| disfluency (filled pauses) | 51 | 12.4 | 4 |
| numerics | 37 | 2.7 | 4 |
| repetitions | 18 | 3.6 | 1 |
| false-starts | 3 | 0.3 | 0 |
| paragraphs | 3 | 0.7 | 0 |
| whispered | 3 | 0.4 | 1 |
| asides | 2 | 0.3 | 0 |
Self-corrections have no takes yet.
Columns
audio(fromfile_name): 16 kHz mono WAV, recorded on an Android phone.text: the clean training target (what Proofed should write).verbatim_text/spoken_text: what was actually said, where it differs (disfluent, repeated, self-corrected takes);aside_text,aside_position: the aside that must be dropped;paragraph_text: the target with paragraph breaks.task,tasks,categories: task labels (ids as in the taxonomy).duration_s,device,microphone,environment,sample_rate,recorded_at,mode,prompt_id,prompt_source,prompt_kind.source_dataset,source_revision: provenance of each row.
Sources
Built from danielrosehill/Read-Aloud-Voice-Sentences
@ c544f891 and the task subsets Hebrish/Disfluent-Read-Sentences, Hebrish/Repeated-Word-Sentences,
Hebrish/Currency-Sentences, Hebrish/Spoken-Aside-Sentences, Hebrish/Self-Correction-Sentences
(revisions in build_summary.json). Train/test splits follow the source datasets. Code-switching,
tech and other domain-vocabulary takes are excluded by design. Read, acted speech: disfluencies
were performed from prompts, not spontaneous.
Licence: CC-BY-4.0. Non-commercial research project; public corpora used later in training (DisfluencySpeech, AMI, ICSI, LibriSpeech-PC) are not redistributed here.
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