Datasets:
File size: 4,818 Bytes
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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:
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num_examples: 22807
- name: test
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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:
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- name: test
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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:
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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
```python
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:
```python
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](https://www.microsoft.com/en-us/download/details.aspx?id=105292)
---
## Citation
```bibtex
@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}
}
``` |