Audio Datasets
Collection
My training datasets for ASR fine tuning • 7 items • Updated
Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 211, 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/Tech-Sentences@83f9ec0d1f4cdb673e7a9b7fba37d102aa95a9e2/data/test/metadata.jsonl and hf://datasets/danielrosehill/Tech-Sentences@83f9ec0d1f4cdb673e7a9b7fba37d102aa95a9e2/data/train/metadata.jsonl have different features: ('hf://datasets/danielrosehill/Tech-Sentences@83f9ec0d1f4cdb673e7a9b7fba37d102aa95a9e2/data/train/metadata.jsonl', {'file_name': Value('string'), 'id': Value('string'), 'text': Value('string'), 'duration_s': Value('float64'), 'categories': List(Value('string')), 'target_terms': List(Value('string')), 'prompt_id': Value('string'), 'prompt_source': Value('string'), 'mode': Value('string'), 'edited': Value('bool'), 'device': Value('string'), 'environment': Value('string'), 'sample_rate': Value('int64'), 'recorded_at': Value('string'), 'microphone': Value('string'), 'prompt_origin': Value('string'), 'conditions': List(Value('string'))}) != {'file_name': Value('string'), 'id': Value('string'), 'text': Value('string'), 'duration_s': Value('float64'), 'categories': List(Value('string')), 'target_terms': List(Value('string')), 'prompt_id': Value('string'), 'prompt_source': Value('string'), 'mode': Value('string'), 'edited': Value('bool'), 'device': Value('string'), 'environment': Value('string'), 'conditions': List(Value('string')), 'sample_rate': Value('int64'), 'recorded_at': Value('string'), 'microphone': Value('string'), 'prompt_origin': Value('string'), 'text_before_normalization': 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.
Tech Sentences
Dictation-style English sentences dense in software, DevOps, cloud, self-hosting and AI vocabulary (product names, CLI tools, acronyms, model names), read aloud by one speaker. Terms use the vendor's own casing (GitHub, PostgreSQL, kubectl). Includes long-form dictation of instructions to AI coding agents.
This is a subset of danielrosehill/Read-Aloud-Voice-Sentences, the full, undifferentiated
dataset. It contains every phone recording there whose categories include tech. Rows are copied
unchanged, with the same ids, columns and train/test split, by scripts/sync_subsets.py in the
project repository. Do not edit this dataset directly: fix the row in the main dataset and re-sync.
The subset grows as new takes are published.
Speaker: Daniel Rosehill, the dataset's author, who was born in Ireland and speaks English with an Irish accent, and who lives in Jerusalem. Every recording is his voice.
All audio was recorded on a OnePlus Nord 3 5G phone using its internal microphone, with browser echo cancellation, noise suppression and auto gain turned off.
Layout
data/train/audio/<id>.wav 16 kHz mono 16-bit PCM
data/train/metadata.jsonl
data/test/... held-out set, never trained on
The test split is term-disjoint: a held-out term never appears in train.
load_dataset("danielrosehill/Tech-Sentences") works directly.
Columns
The columns are the same as in the main dataset: text (ground truth, punctuated and cased like
Parakeet v2 output), categories, target_terms, prompt_source, edited, duration_s,
environment, conditions, device and recorded_at. The main dataset's card describes them.
Licence
CC-BY-4.0, with sentence-text attribution per prompt_source as described in the
main dataset's licence section.
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