Datasets:

zuhri025
/

Urdu-Munch-Lina

Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 712, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 731, in finalize
                  self._build_writer(self.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 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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[ { "filename": "data-00000-of-00001.arrow" } ]	e0713eac25a45e22	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	a88363fe28102a42	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	e89d1e578fd7374b	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	8ba7258213985914	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	d9f8d984249988b0	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	322cd46c7321e741	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	a1aa5101095918b0	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	83ac62c30c70c31b	null	{}	null	false	null
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[ { "filename": "data-00000-of-00001.arrow" } ]	17513783ab61fefd	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	e43fc0e73f27f5f7	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	9373eb1efc3af738	null	{}	null	false	null
[ { "filename": "data-00000-of-00001.arrow" } ]	887770bf163f8505	null	{}	null	false	null
null	null	null	null	null	null	null

Urdu-Munch-Lina

Processed version of zuhri025/Urdu-Munch with LinaCodec encoding.

Dataset Structure

This dataset contains 2 batches of audio data encoded with LinaCodec:

Urdu-Munch-Lina/
├── .meta/                  # Metadata (not data files)
│   ├── progress.json       # Processing progress
│   └── metadata.json       # Dataset metadata
├── batch_0/
│   ├── data-*.arrow        # Actual data files
│   └── dataset_info.json
├── batch_1/
└── ...

Available batches: [1, 2]

Features

Each sample contains:

id: Unique identifier
transcript: Urdu text transcript
voice: Voice type
text: Text content
timestamp: Recording timestamp
duration: Audio duration (seconds)
speech_tokens: LinaCodec discrete tokens
global_embedding: LinaCodec global embedding (128-dim)
speech_tokens_length: Token sequence length
processing_success: Encoding success flag

Usage

Load a specific batch:

from datasets import load_dataset

# Load batch 1
batch = load_dataset("zuhri025/Urdu-Munch-Lina", data_dir="batch_1", split="train")
print(f"Loaded {len(batch)} samples")

# Access features
sample = batch[0]
print(f"Tokens: {sample['speech_tokens'][:10]}")
print(f"Token length: {sample['speech_tokens_length']}")

Load all batches:

# Load entire dataset
dataset = load_dataset("zuhri025/Urdu-Munch-Lina")

Decode audio with LinaCodec:

import torch
from linacodec.codec import LinaCodec

# Load model
lina = LinaCodec()

# Get tokens and embedding
tokens = torch.tensor(sample['speech_tokens'])
embedding = torch.tensor(sample['global_embedding'])

# Decode to audio (48kHz output)
audio = lina.decode(tokens, embedding)

# Save audio
import soundfile as sf
sf.write("output.wav", audio.cpu().numpy(), 48000)

Statistics

Total Batches: 2
Token Rate: ~50 tokens/second
Embedding Dimension: 128
Output Sample Rate: 48kHz (LinaCodec default)

Processing

Original audio (22.05kHz WAV) → LinaCodec → Discrete tokens + Global embedding

License

MIT License (same as source dataset)

Citation

@misc{urdu-munch-lina,
  title={Urdu-Munch-Lina: LinaCodec Encoded Urdu Speech},
  author={zuhri025},
  year={2025},
  publisher={Hugging Face}
}

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Total file size:

240 MB