README.md

metadata

task_categories:
  - automatic-speech-recognition
language:
  - ta
  - gu
  - te
dataset_info:
  - config_name: gu
    features:
      - name: audio
        dtype: audio
      - name: transcription
        dtype: string
      - name: audio_id
        dtype: string
    splits:
      - name: train
        num_bytes: 4739983146.192
        num_examples: 22807
      - name: test
        num_bytes: 578740547.85
        num_examples: 3075
    download_size: 4892009740
    dataset_size: 5318723694.042001
  - config_name: ta
    features:
      - name: audio
        dtype: audio
      - name: transcription
        dtype: string
      - name: audio_id
        dtype: string
    splits:
      - name: train
        num_bytes: 8359705604.568
        num_examples: 39131
      - name: test
        num_bytes: 603047036.672
        num_examples: 3081
    download_size: 5128373412
    dataset_size: 8962752641.24
  - config_name: te
    features:
      - name: audio
        dtype: audio
      - name: transcription
        dtype: string
      - name: audio_id
        dtype: string
    splits:
      - name: train
        num_bytes: 8420579336.816
        num_examples: 44882
      - name: test
        num_bytes: 579072608.12
        num_examples: 3040
    download_size: 5096987441
    dataset_size: 8999651944.936
configs:
  - config_name: gu
    data_files:
      - split: train
        path: gu/train-*
      - split: test
        path: gu/test-*
  - config_name: ta
    data_files:
      - split: train
        path: ta/train-*
      - split: test
        path: ta/test-*
  - config_name: te
    data_files:
      - split: train
        path: te/train-*
      - split: test
        path: te/test-*

Microsoft Speech Corpus – Indian Languages

Dataset Description

This dataset is a redistribution of the Microsoft Speech Corpus (Indian Languages) containing conversational and phrasal speech training and test data for Telugu, Tamil, and Gujarati languages. Each entry includes an audio recording and its corresponding transcript.

Attribution required: "Data provided by Microsoft and SpeechOcean.com"

⚠️ License: This data is provided for research purposes only. Commercial use is strictly prohibited.

---

Dataset Structure

Configurations

Config	Language	Script
ta	Tamil	Tamil script (தமிழ்)
gu	Gujarati	Gujarati script (ગુજરાતી)
te	Telugu	Telugu script (తెలుగు)

Splits & Size

Language	Split	Examples
Tamil (ta)	train	39,131
Tamil (ta)	test	3,081
Gujarati (gu)	train	22,807
Gujarati (gu)	test	3,075
Telugu (te)	train	44,882
Telugu (te)	test	3,040

Total: 116,016 examples

Data Fields

Field	Type	Description
audio	Audio	Audio file with sampling rate metadata
transcription	string	Transcript of the spoken content
audio_id	string	Unique identifier of the audio file

---

Usage

from datasets import load_dataset

# Load Tamil
ta = load_dataset("deepdml/microsoft-speech-corpus-indian", "ta", trust_remote_code=True)

# Load Gujarati
gu = load_dataset("deepdml/microsoft-speech-corpus-indian", "gu", trust_remote_code=True)

# Load Telugu
te = load_dataset("deepdml/microsoft-speech-corpus-indian", "te", trust_remote_code=True)

Access a sample:

sample = ta["train"][0]
print(sample["transcription"])
# → "நீங்க அழிகா இருக்கீங்க என்று சொல்வது..."

sample["audio"]
# → {"array": [...], "sampling_rate": 16000, "path": "000020021.wav"}

---

Dataset Creation

Source Data

The original data was collected and released by Microsoft Research in collaboration with SpeechOcean.com as part of the Microsoft Speech Corpus for Indian Languages. The corpus covers conversational and phrasal speech scenarios.

Collection Process

Audio recordings were collected from native speakers of Tamil, Gujarati, and Telugu across India and transcribed professionally. The data reflects natural spoken language including conversational speech patterns.

---

License & Attribution

This dataset is made available for non-commercial research use only.

If you publish findings using this dataset, you must include the following attribution:

"Data provided by Microsoft and SpeechOcean.com"

Original dataset: Microsoft Research Open Data

---

Citation

@dataset{microsoft_speech_corpus_indian,
  title     = {Microsoft Speech Corpus (Indian Languages)},
  author    = {Microsoft Research and SpeechOcean.com},
  year      = {2020},
  url       = {https://msropendata.com/datasets/7230b4b1-912d-400e-be58-f84e0512985e},
  note      = {Non-commercial research use only}
}