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 250, in _split_generators
raise ValueError(
"`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
)
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
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.
Mana FA — Complete Sentences (22.05 kHz)
A Persian single-speaker corpus of 15,000 complete sentences derived from MahtaFetrat/Mana-TTS (CC-0, 114 h, 44.1 kHz, single speaker).
Why this dataset exists
ManaTTS is distributed as short machine-cut chunks: the audio was segmented
without regard to sentence boundaries, so most chunks stop in the middle of a
sentence. In the subset we had been using, 68.4 % of the chunks ended without
any sentence-final punctuation, and their continuation was frequently a
different file (e.g. 10-102 ends with «...در دسترس بودن بریل ملزوماتی» and
10-103 continues «دارد که مهمترین آن...»). Training a TTS model on such
fragments teaches it to truncate sentences.
What was done
- Downloaded the full ManaTTS release (77 parquet parts, 87,017 chunks, ~114 h).
- Merged consecutive chunks within a chapter (ordered by chunk number)
into one utterance, closing a unit at the first chunk whose transcript ends
with sentence-final punctuation (
.!?؟…). 50 ms of silence is inserted at a chunk join (the original split was at a pause). - Quality filter using the corpus' own
match qualityfield: the sentence-closing chunk must beHIGH; units whose every chunk isHIGHwere taken first (8,190), the remainder were chosen with the fewestMIDDLEchunks and the lowest CER. - Duration window 2–40 s. No text normalisation or filtering beyond the
original transcripts; 2 duplicate source ids were disambiguated with a
_v2suffix. - Resampled 44.1 kHz → 22.05 kHz with soxr (VHQ quality), float64 intermediate, PCM_16 mono output — anti-aliased, no aliasing products at the new Nyquist.
Contents
wav_01/ ... wav_15/ 15,000 mono PCM_16 WAV files, 22,050 Hz (1,000 per folder —
the Hub rejects more than 10,000 files in one directory)
metadata.csv file|transcript|duration|match_quality|CER|n_source_chunks
- 15,000 utterances, 53.6 hours, median 10.99 s (2.0–40.3 s)
- 11,273 utterances were assembled from 2+ source chunks, 3,727 are single-chunk
- Every transcript ends with sentence-final punctuation
- Speaker: the single narrator of ManaTTS (not a new recording)
Limitations
- No phone-level alignments are included; runs of merged chunks may contain a short (50 ms) seam.
- The text is the corpus' transcript as-is (no ezafe diacritisation).
- The source chunks carry their own quality label; the label of the closing
chunk is reported in
metadata.csv, internal chunks may beMIDDLE.
Licence
The source corpus is CC-0; this derivative is released under CC-0 as well. Please cite the original ManaTTS work if you use this data.
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