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Datasets:
SobanHM
/
pna-speaker-recognition-dataset

Languages:
English
Urdu
Tags:
recognition
voice-recognition
dataset
voice-dataset
speaker-recognition
speech-recognition
License:
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label pna-speaker-recognition-dataset@c0e04a6f1d4f73a0ff8864a678926d1ee498f021
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1169, in cast_storage
                  [self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1098, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label pna-speaker-recognition-dataset@c0e04a6f1d4f73a0ff8864a678926d1ee498f021

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license: cc-by-4.0 task_categories: - audio-classification - speaker-identification language: - ur - en tags: - pakistan - politics - national-assembly

Pakistan MNA Speeches Dataset (2025)

This dataset consists of audio recordings of Members of the National Assembly (MNAs) of Pakistan. It was curated for Speaker Recognition tasks during an internship at the National Assembly in 2025.

Dataset Details

  • Source: National Assembly of Pakistan (PNA)
  • Total Speakers: [more than 30]
  • Format: .wav (16kHz)
  • Year: 2025

🎙️ Dataset: Pakistan MNA Speaker Recognition (PNA 2025)

The dataset contains audio recordings of Members of the National Assembly (MNAs) curated during an internship at the National Assembly of Pakistan (PNA) in 2025.

📥 Download & Setup

Due to its size (1.2 GB), the dataset is hosted on Hugging Face.

Automatic Setup (Python)

You can use this snippet to download and extract the dataset automatically:

🎙️ Dataset: Pakistan MNA Speaker Recognition (PNA 2025)

The dataset contains audio recordings of Members of the National Assembly (MNAs) curated during an internship at the National Assembly of Pakistan (PNA) in 2025. It is designed for Speaker Identification tasks.

📥 Download & Setup

The dataset is hosted on Hugging Face due to its size (~1.2 GB).

  1. Download the ZIP: pakistan-mnas-speeches-dataset.zip
  2. Extract the files:
    unzip pakistan-mnas-speeches-dataset.zip -d data/

Quick Download Script (Python)

You can use this script to download and extract the dataset automatically:

import os
import requests
import zipfile

url = "https://huggingface.co"
output = "pakistan-mnas-speeches-dataset.zip"

print("Downloading dataset from Hugging Face.")
r = requests.get(url)
with open(output, "wb") as f:
    f.write(r.content)

with zipfile.ZipFile(output, 'r') as zip_ref:
    zip_ref.extractall("data/")
print("Done! Dataset extracted to the 'data/' directory.")
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