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Datasets:
humair025
/
urdu-tts-clean

Modalities:
Audio
Languages:
Urdu
Tags:
audio
tts
urdu
License:
Dataset card Data Studio Files
xet
Community
Dataset Preview
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: int64
voice: string
text: string
audio_bytes: binary
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 701
to
{'id': Value('int64'), 'voice': Value('string'), 'text': Value('string'), 'audio': Value('binary')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1405, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 578, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 497, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 535, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 4452622142 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              voice: string
              text: string
              audio_bytes: binary
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 701
              to
              {'id': Value('int64'), 'voice': Value('string'), 'text': Value('string'), 'audio': Value('binary')}
              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 1428, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
int64
voice
string
text
string
audio
unknown
1
ash
"رات کے خاموشی میں جب چاند کی ہلکی روشنی کمرے پر پڑتی ہے (...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAFIwAEgPA(...TRUNCATED)
2
ash
"میں جاننا چاہتا ہوں کہ تم نے کس انداز سے اپنی فیملی کی ق(...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEJwADslA(...TRUNCATED)
3
ash
"تمہارے والدین کی مسکراہٹ میرے دل میں ایک خوبصورت موسیق(...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEjwAD7WA(...TRUNCATED)
4
ash
"میں جانتا ہوں کہ تمہاری سیکھائی ہوئی باتوں میں خاندان (...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEOAAD5PA(...TRUNCATED)
5
ash
"تمہاری مسکراہٹ میرے لئے وہی ہے جسے بارش کے بعد کی خوشبو(...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAE1gAES/g(...TRUNCATED)
6
ash
"ہفتہ وار خاندان کی میٹنگ کا تصور ہم دونوں کی زندگی میں (...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEfAAD7pg(...TRUNCATED)
7
ash
"میں چاہتا ہوں کہ ہم اپنے رشتے کی مضبوطی کے لئے کچھ عملی (...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEdgAECQg(...TRUNCATED)
8
ash
"تم نے کبھی بتایا کہ تمہاری والدہ کی محبت کی خوشبو کس طر(...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEIwADw9g(...TRUNCATED)
9
ash
"میں جانتا ہوں کہ رشتوں کی قدر صرف ان کے ساتھ وقت گزارنے (...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEsAAEUog(...TRUNCATED)
10
ash
"تم نے کبھی کہا تھا کہ خاندان کی تعریف کریں تو وہ ہمارے ا(...TRUNCATED)
"SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjYwLjE2LjEwMAAAAAAAAAAAAAAA//OEwAAAAAAAAAAAAFhpbmcAAAAPAAAEFgADoMg(...TRUNCATED)
End of preview.

Urdu TTS (clean)

This dataset contains cleaned Urdu TTS examples stored as parquet shards under parquet_shards/.

Features

  • id: int32
  • text: string
  • voice: string
  • audio: audio (sampling_rate=22050)

How to load 

from datasets import load_dataset
data_files = {"train": [
    "https://huggingface.co/humair025/urdu-tts-clean/resolve/main/parquet_shards/shard_rg0000_part000.parquet",
    "https://huggingface.co/humair025/urdu-tts-clean/resolve/main/parquet_shards/shard_rg0000_part001.parquet",
    # add the rest...
]}
ds = load_dataset("parquet", data_files=data_files)

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