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edwixx
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Tamil200hours

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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 66, 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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Tamil 200 Hours Speech Dataset (Tamil200hours)

A large-scale Tamil speech corpus containing approximately 200 hours of spoken Tamil audio recordings with accompanying metadata. Designed for training robust Automatic Speech Recognition (ASR) models for Tamil.

Dataset Description

This dataset provides approximately 200 hours of Tamil speech audio, packaged as a single compressed archive along with a metadata CSV file. It is suitable for end-to-end speech recognition model training and acoustic model adaptation for the Tamil language.

Use Cases

  • Large-vocabulary ASR: Train deep learning speech-to-text models with 200 hours of data
  • Acoustic Model Training: Develop noise-robust acoustic models for Tamil
  • Speech Synthesis: Use as source data for Tamil text-to-speech systems
  • Speaker Variability Studies: Analyze dialectal and speaker variation in Tamil
  • Cross-lingual Transfer Learning: Pre-train multilingual ASR backbones on Tamil data

File Inventory

File Description Size
Tamil200Hours.zip Compressed archive containing ~200 hours of Tamil speech audio files ~15.6 GB
metadata.csv CSV file with file names, transcriptions, and other metadata —
.gitattributes Git LFS configuration for large file storage —
README.md Dataset documentation (this file) —

Usage

Loading the Dataset 

from datasets import load_dataset

dataset = load_dataset("edwixx/Tamil200hours", trust_remote_code=True)

Extracting Audio 

# Extract the audio archive
unzip Tamil200Hours.zip

# View metadata
head -20 metadata.csv

Expected Metadata Format

The metadata.csv file is expected to contain columns such as:

  • file_name — Path or name of the audio file
  • transcription — Tamil text transcription of the audio
  • Additional speaker or recording metadata (if available)

Metadata

  • Author: Anurag Kanade
  • Language: Tamil (ta)
  • License: MIT
  • Hosted by: Hugging Face Datasets
  • Created: 2024-05-07
  • Last Updated: 2026-06-25
  • Storage Size: ~15.6 GB
  • Downloads: 5

Citation 

@misc{edwixx-Tamil200hours,
  author = {Anurag Kanade},
  title = {Tamil200hours},
  year = {2026},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://huggingface.co/datasets/edwixx/Tamil200hours}}
}
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Total file size:
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