| --- |
| language: |
| - bn |
| - brx |
| - doi |
| - gu |
| - hi |
| - kn |
| - kok |
| - ks |
| - mai |
| - ml |
| - mni |
| - mr |
| - ne |
| - or |
| - pa |
| - sa |
| - sat |
| - sd |
| - ta |
| - te |
| - ur |
| license: cc-by-4.0 |
| task_categories: |
| - automatic-speech-recognition |
| - text-to-speech |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # Nirantar |
|
|
| Nirantar speech dataset (22 Indian languages) in Hugging Face format. Source: [AI4Bharat/Nirantar](https://github.com/AI4Bharat/Nirantar). |
|
|
| ## Downloading language-wise subsets |
|
|
| Each language is a **separate configuration** (subset), so you can load only one language (like [ai4bharat/Rasa](https://huggingface.co/datasets/ai4bharat/Rasa)): |
|
|
| ```python |
| from datasets import load_dataset, get_dataset_config_names |
| |
| # Single language (only that language's parquet is downloaded) |
| ds = load_dataset("adjaysagar/nirantar", "hi", trust_remote_code=True) # Hindi |
| ds["train"] # Dataset for that language |
| |
| # List available language configs |
| get_dataset_config_names("adjaysagar/nirantar") # e.g. ['as', 'bn', 'hi', ...] |
| |
| # All languages (DatasetDict: config -> Dataset) |
| ds_all = load_dataset("adjaysagar/nirantar", trust_remote_code=True) |
| ``` |
|
|
| ## Dataset structure |
|
|
| | Column | Description | |
| |--------|-------------| |
| | `audio` | 16 kHz audio (WAV/FLAC) | |
| | `text` | Normalized transcript | |
| | `language` | ISO language code | |
| | `speaker_id` | Speaker ID (if available) | |
| | `duration` | Duration in seconds (if available) | |
| | `gender` | Gender (if available) | |
| | `state` / `district` | Location metadata (if available) | |
|
|
| ## Language and metadata statistics |
|
|
| Duration (h) = total audio duration per language. Config name (code) is used in `load_dataset(..., "hi")`. |
|
|
| | Language | Config | Utterances | Duration (h) | GB | Unique speakers | States | Districts | |
| |----------|-------|------------|--------------|-----|------------------|--------|-----------| |
| | Bengali | bn | 18,729 | 196.17 | 22.12 | 724 | 1 | 11 | |
| | brx | brx | 13,220 | 287.36 | 30.85 | 1,061 | 1 | 4 | |
| | doi | doi | 7,154 | 110.74 | 12.05 | 495 | 1 | 5 | |
| | Gujarati | gu | 2,174 | 19.27 | 2.07 | 72 | 1 | 4 | |
| | Hindi | hi | 13,396 | 135.50 | 14.55 | 490 | 4 | 12 | |
| | Kannada | kn | 8,293 | 94.71 | 10.16 | 530 | 1 | 13 | |
| | Konkani | kok | 10,604 | 100.15 | 10.75 | 245 | 1 | 4 | |
| | Kashmiri | ks | 10,247 | 103.57 | 11.17 | 514 | 1 | 10 | |
| | mai | mai | 21,207 | 241.91 | 25.98 | 726 | 1 | 9 | |
| | Malayalam | ml | 15,472 | 166.93 | 17.91 | 504 | 1 | 10 | |
| | Manipuri | mni | 4,133 | 40.85 | 4.38 | 166 | 1 | 3 | |
| | Marathi | mr | 13,943 | 116.15 | 12.46 | 447 | 1 | 10 | |
| | Nepali | ne | 26,003 | 249.03 | 26.72 | 780 | 1 | 4 | |
| | Odia | or | 15,370 | 121.79 | 13.07 | 473 | 1 | 9 | |
| | Punjabi | pa | 14,762 | 122.92 | 13.19 | 344 | 1 | 6 | |
| | Sanskrit | sa | 7,332 | 68.33 | 7.33 | 222 | 7 | 17 | |
| | Santali | sat | 13,503 | 161.29 | 17.30 | 433 | 1 | 8 | |
| | Sindhi | sd | 4,474 | 26.20 | 2.81 | 240 | 3 | 4 | |
| | Tamil | ta | 25,747 | 234.50 | 25.20 | 1,242 | 1 | 19 | |
| | Telugu | te | 13,490 | 217.69 | 23.36 | 767 | 2 | 28 | |
| | Urdu | ur | 12,219 | 122.05 | 13.10 | 564 | 4 | 10 | |
| | **Total** | — | **271,472** | **2937.11** | **316.52** | — | — | — | |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{nirantar2024, |
| title={Nirantar: Continual Learning for Indian Languages}, |
| author={AI4Bharat}, |
| year={2024}, |
| url={https://github.com/AI4Bharat/Nirantar} |
| } |
| ``` |
|
|
