Datasets:

Panav-Payappagoudar
/

sih-26-processed-audio

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 246, 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.

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SIH-26 Processed Audio Dataset

Overview

This dataset was compiled and standardized specifically for Smart India Hackathon (SIH) 2026 — Problem Statement 26052 (DRDO / iDEX). It provides the foundational 16kHz mono audio data required to train, fine-tune, and evaluate real-time AI/ML Active Noise Cancellation (ANC) and speech enhancement models for tactical and defence environments.

Dataset Contents

The repository contains roughly 14.5 GB of compressed audio data, logically separated into Clean Speech and Tactical/Environmental Noise:

Clean Speech: Sourced from LibriSpeech and diverse English accent datasets to ensure the model learns robust human vocal envelopes.
Impulsive Noise (Firearms): A comprehensive collection of 58 distinct gun types and transient acoustic shockwaves.
Vehicular & Rotor Noise: Heavy engine hums, armored vehicle tracks, and wind shear.
UAV / Drone Noise: High-pitch brushless motor whine and aerodynamic turbulence.
Complex Environmental Noise: Standardized background environments from the DEMAND and MS-SNSD datasets.

Technical Specifications

All audio files have been strictly pre-processed and standardized:

Sample Rate: 16,000 Hz (16 kHz)
Channels: 1 (Mono)
Format: .wav
Packaging: Compressed into distinct .zip archives for optimized cloud streaming.

Usage in PyTorch / Hugging Face Datasets

Because the metadata is mapped in metadata.csv, you can load this dataset directly into your training pipeline without manually downloading the 14.5 GB archives.

from datasets import load_dataset

# Stream the dataset directly into your environment
dataset = load_dataset("Panav-Payappagoudar/sih-26-processed-audio", streaming=True)

Downloads last month: 93

Total file size:

14.5 GB