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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
results: list<item: struct<encoder: string, n_conversations: int64, ari_mean: double, ari_median: double, ari (... 114 chars omitted)
child 0, item: struct<encoder: string, n_conversations: int64, ari_mean: double, ari_median: double, ari_p25: doubl (... 102 chars omitted)
child 0, encoder: string
child 1, n_conversations: int64
child 2, ari_mean: double
child 3, ari_median: double
child 4, ari_p25: double
child 5, ari_p75: double
child 6, cross_script_recall_mean: double
child 7, cross_script_recall_n: int64
child 8, elapsed_s: double
delta_cross_minus_pre: double
n_rows: int64
pre_train: struct<within_script: double, cross_script: double, across_voice: double>
child 0, within_script: double
child 1, cross_script: double
child 2, across_voice: double
post_gap_within_minus_cross: double
pre_gap_within_minus_cross: double
post_train: struct<within_script: struct<label: string, n: int64, median: double, mean: double, p10: double, p25 (... 372 chars omitted)
child 0, within_script: struct<label: string, n: int64, median: double, mean: double, p10: double, p25: double, p75: double, (... 39 chars omitted)
child 0, label: string
child 1, n: int64
child 2, median: double
child 3, mean: double
child 4, p10: double
child 5, p25: double
child 6, p75: double
child 7, p90: double
child 8, min: double
child 9, max: double
child 1, cross_script: struct<label: string, n: int64, median: double, mean: double, p10: double, p25: double, p75: double, (... 39 chars omitted)
child 0, label: string
child 1, n: int64
child 2, median: double
child 3, mean: double
child 4, p10: double
child 5, p25: double
child 6, p75: double
child 7, p90: double
child 8, min: double
child 9, max: double
child 2, across_voice: struct<label: string, n: int64, median: double, mean: double, p10: double, p25: double, p75: double, (... 39 chars omitted)
child 0, label: string
child 1, n: int64
child 2, median: double
child 3, mean: double
child 4, p10: double
child 5, p25: double
child 6, p75: double
child 7, p90: double
child 8, min: double
child 9, max: double
ckpt: string
to
{'ckpt': Value('string'), 'n_rows': Value('int64'), 'post_train': {'within_script': {'label': Value('string'), 'n': Value('int64'), 'median': Value('float64'), 'mean': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'min': Value('float64'), 'max': Value('float64')}, 'cross_script': {'label': Value('string'), 'n': Value('int64'), 'median': Value('float64'), 'mean': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'min': Value('float64'), 'max': Value('float64')}, 'across_voice': {'label': Value('string'), 'n': Value('int64'), 'median': Value('float64'), 'mean': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'min': Value('float64'), 'max': Value('float64')}}, 'pre_train': {'within_script': Value('float64'), 'cross_script': Value('float64'), 'across_voice': Value('float64')}, 'delta_cross_minus_pre': Value('float64'), 'post_gap_within_minus_cross': Value('float64'), 'pre_gap_within_minus_cross': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
results: list<item: struct<encoder: string, n_conversations: int64, ari_mean: double, ari_median: double, ari (... 114 chars omitted)
child 0, item: struct<encoder: string, n_conversations: int64, ari_mean: double, ari_median: double, ari_p25: doubl (... 102 chars omitted)
child 0, encoder: string
child 1, n_conversations: int64
child 2, ari_mean: double
child 3, ari_median: double
child 4, ari_p25: double
child 5, ari_p75: double
child 6, cross_script_recall_mean: double
child 7, cross_script_recall_n: int64
child 8, elapsed_s: double
delta_cross_minus_pre: double
n_rows: int64
pre_train: struct<within_script: double, cross_script: double, across_voice: double>
child 0, within_script: double
child 1, cross_script: double
child 2, across_voice: double
post_gap_within_minus_cross: double
pre_gap_within_minus_cross: double
post_train: struct<within_script: struct<label: string, n: int64, median: double, mean: double, p10: double, p25 (... 372 chars omitted)
child 0, within_script: struct<label: string, n: int64, median: double, mean: double, p10: double, p25: double, p75: double, (... 39 chars omitted)
child 0, label: string
child 1, n: int64
child 2, median: double
child 3, mean: double
child 4, p10: double
child 5, p25: double
child 6, p75: double
child 7, p90: double
child 8, min: double
child 9, max: double
child 1, cross_script: struct<label: string, n: int64, median: double, mean: double, p10: double, p25: double, p75: double, (... 39 chars omitted)
child 0, label: string
child 1, n: int64
child 2, median: double
child 3, mean: double
child 4, p10: double
child 5, p25: double
child 6, p75: double
child 7, p90: double
child 8, min: double
child 9, max: double
child 2, across_voice: struct<label: string, n: int64, median: double, mean: double, p10: double, p25: double, p75: double, (... 39 chars omitted)
child 0, label: string
child 1, n: int64
child 2, median: double
child 3, mean: double
child 4, p10: double
child 5, p25: double
child 6, p75: double
child 7, p90: double
child 8, min: double
child 9, max: double
ckpt: string
to
{'ckpt': Value('string'), 'n_rows': Value('int64'), 'post_train': {'within_script': {'label': Value('string'), 'n': Value('int64'), 'median': Value('float64'), 'mean': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'min': Value('float64'), 'max': Value('float64')}, 'cross_script': {'label': Value('string'), 'n': Value('int64'), 'median': Value('float64'), 'mean': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'min': Value('float64'), 'max': Value('float64')}, 'across_voice': {'label': Value('string'), 'n': Value('int64'), 'median': Value('float64'), 'mean': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'min': Value('float64'), 'max': Value('float64')}}, 'pre_train': {'within_script': Value('float64'), 'cross_script': Value('float64'), 'across_voice': Value('float64')}, 'delta_cross_minus_pre': Value('float64'), 'post_gap_within_minus_cross': Value('float64'), 'pre_gap_within_minus_cross': Value('float64')}
because column names don't match
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/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ckpt string | n_rows int64 | post_train dict | pre_train dict | delta_cross_minus_pre float64 | post_gap_within_minus_cross float64 | pre_gap_within_minus_cross float64 |
|---|---|---|---|---|---|---|
/Users/pushpak/Documents/GitHub/praxy_tts/data/codeswitch_pairs_lase/r1_last.pt | 1,043 | {
"within_script": {
"label": "within-speaker within-script",
"n": 200,
"median": 0.7574,
"mean": 0.7414,
"p10": 0.5762,
"p25": 0.6738,
"p75": 0.8419,
"p90": 0.886,
"min": 0.2976,
"max": 0.9607
},
"cross_script": {
"label": "within-speaker CROSS-script",
"n": 200,
... | {
"within_script": 0.927,
"cross_script": 0.8453,
"across_voice": 0.6004
} | -0.1007 | 0.0128 | 0.0817 |
Codeswitch Pairs LASE — Western held-out corpus
1043 held-out cross-script utterance pairs from 8 ElevenLabs Western Multilingual voices. Used to evaluate generalisation of speaker encoders trained on Praxel/codeswitch-pairs-lase.
Each row is one synthesized utterance with metadata; pairs are reconstructed at evaluation time by joining on voice_id (same voice, different script = cross-script pair).
Schema (manifest.jsonl)
{
"voice_id": "21m00Tcm4TlvDq8ikWAM",
"lang": "en | hi | te | ta",
"text": "the prompt text",
"wav_path": "<voice_name>/<lang>_NNN.wav",
"quality": {"cosine": 0.97, "utmos": 4.6}
}
Audio is 16 kHz mono WAV, ~2 s/utterance.
Stats
- Pairs: 1043
- Voices: 8
- Languages: en, hi, te, ta
- Quality gate: WavLM-cosine ≥ 0.90 vs the voice's reference clip
Provenance
Synthesized using the ElevenLabs Multilingual v2 API. Voice IDs are public ElevenLabs catalog voices used under their TOS for research/evaluation purposes. Text prompts are short generic English phrases translated/transliterated into each target script.
Companion paper
LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation (arXiv:TBD)
License
CC-BY-4.0.
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