Update README.md
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vignesh1910
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README.md
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---
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license: cc-by-4.0
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dataset_info:
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- config_name: assamese
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features:
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dtype: audio
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- name: lang
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dtype: string
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splits:
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dataset_size: 5082850536.85
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- config_name: bengali
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- name: audio_filepath
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dtype: audio
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configs:
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- config_name: assamese
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data_files:
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- split: train
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path: assamese/train-*
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data_files:
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- split: train
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path: bengali/train-*
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data_files:
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- split: train
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path: dogri/train-*
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data_files:
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- split: train
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path: gujarati/train-*
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data_files:
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path: hindi/train-*
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data_files:
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data_files:
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data_files:
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data_files:
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path: malayalam/train-*
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data_files:
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data_files:
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path: nepali/train-*
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data_files:
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- split: train
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path: odia/train-*
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data_files:
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- split: train
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path: punjabi/train-*
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data_files:
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- split: train
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path: sanskrit/train-*
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data_files:
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- split: train
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path: tamil/train-*
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data_files:
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- split: train
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path: telugu/train-*
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---
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1 |
+
---
|
2 |
+
license: cc-by-4.0
|
3 |
+
dataset_info:
|
4 |
+
- config_name: assamese
|
5 |
+
features:
|
6 |
+
- name: audio_filepath
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dtype: audio
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num_examples: 12239
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download_size: 1239977556
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- config_name: maithili
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features:
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download_size: 2895972814
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features:
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num_examples: 224323
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download_size: 19431260422
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num_examples: 336475
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download_size: 38603401934
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dataset_size: 42353055748.775
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- config_name: nepali
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features:
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num_examples: 31997
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download_size: 4990235585
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dataset_size: 5214995797.048
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features:
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num_bytes: 12687640571.75
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num_examples: 126675
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download_size: 16473690962
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dataset_size: 12687640571.75
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features:
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num_bytes: 3054398341.146
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num_examples: 21118
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download_size: 3181612927
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dataset_size: 3054398341.146
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features:
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num_examples: 14177
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download_size: 2036474974
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dataset_size: 2036760741.337
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- config_name: tamil
|
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features:
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- name: audio_filepath
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dtype: audio
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dtype: string
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num_examples: 281508
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download_size: 31654328747
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dataset_size: 33855148157.352
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- config_name: telugu
|
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features:
|
246 |
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- name: audio_filepath
|
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dtype: audio
|
248 |
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- name: text
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dtype: string
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- name: duration
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dtype: float64
|
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- name: lang
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dtype: string
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splits:
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255 |
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|
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num_bytes: 5722466966.018
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num_examples: 56082
|
258 |
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download_size: 5886818756
|
259 |
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dataset_size: 5722466966.018
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260 |
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configs:
|
261 |
+
- config_name: assamese
|
262 |
+
data_files:
|
263 |
+
- split: train
|
264 |
+
path: assamese/train-*
|
265 |
+
- config_name: bengali
|
266 |
+
data_files:
|
267 |
+
- split: train
|
268 |
+
path: bengali/train-*
|
269 |
+
- config_name: dogri
|
270 |
+
data_files:
|
271 |
+
- split: train
|
272 |
+
path: dogri/train-*
|
273 |
+
- config_name: gujarati
|
274 |
+
data_files:
|
275 |
+
- split: train
|
276 |
+
path: gujarati/train-*
|
277 |
+
- config_name: hindi
|
278 |
+
data_files:
|
279 |
+
- split: train
|
280 |
+
path: hindi/train-*
|
281 |
+
- config_name: kannada
|
282 |
+
data_files:
|
283 |
+
- split: train
|
284 |
+
path: kannada/train-*
|
285 |
+
- config_name: konkani
|
286 |
+
data_files:
|
287 |
+
- split: train
|
288 |
+
path: konkani/train-*
|
289 |
+
- config_name: maithili
|
290 |
+
data_files:
|
291 |
+
- split: train
|
292 |
+
path: maithili/train-*
|
293 |
+
- config_name: malayalam
|
294 |
+
data_files:
|
295 |
+
- split: train
|
296 |
+
path: malayalam/train-*
|
297 |
+
- config_name: marathi
|
298 |
+
data_files:
|
299 |
+
- split: train
|
300 |
+
path: marathi/train-*
|
301 |
+
- config_name: nepali
|
302 |
+
data_files:
|
303 |
+
- split: train
|
304 |
+
path: nepali/train-*
|
305 |
+
- config_name: odia
|
306 |
+
data_files:
|
307 |
+
- split: train
|
308 |
+
path: odia/train-*
|
309 |
+
- config_name: punjabi
|
310 |
+
data_files:
|
311 |
+
- split: train
|
312 |
+
path: punjabi/train-*
|
313 |
+
- config_name: sanskrit
|
314 |
+
data_files:
|
315 |
+
- split: train
|
316 |
+
path: sanskrit/train-*
|
317 |
+
- config_name: tamil
|
318 |
+
data_files:
|
319 |
+
- split: train
|
320 |
+
path: tamil/train-*
|
321 |
+
- config_name: telugu
|
322 |
+
data_files:
|
323 |
+
- split: train
|
324 |
+
path: telugu/train-*
|
325 |
+
---
|
326 |
+
|
327 |
+
# Shrutilipi: A Multilingual Speech and Text Dataset
|
328 |
+
|
329 |
+
Shrutilipi is an open dataset by AI4Bharat that provides high-quality speech and text data for multiple Indian languages. The dataset is designed to support research and development in speech recognition, natural language processing, and related applications.
|
330 |
+
|
331 |
+
## Overview
|
332 |
+
|
333 |
+
Each data sample in the dataset includes:
|
334 |
+
- **audio_filepath**: Path to the audio file.
|
335 |
+
- **text**: Transcription of the audio.
|
336 |
+
- **duration**: Duration of the audio recording (in seconds).
|
337 |
+
- **lang**: Language identifier for the sample.
|
338 |
+
|
339 |
+
The dataset is released under the [CC BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).
|
340 |
+
|
341 |
+
## Configurations
|
342 |
+
|
343 |
+
Shrutilipi is organized into several language-specific configurations. Each configuration contains a training split with the following details:
|
344 |
+
|
345 |
+
- **assamese**
|
346 |
+
- Training examples: 41,766
|
347 |
+
- Dataset size: ~5.08 GB
|
348 |
+
- **bengali**
|
349 |
+
- Training examples: 17,882
|
350 |
+
- Dataset size: ~1.97 GB
|
351 |
+
- **dogri**
|
352 |
+
- Training examples: 23,721
|
353 |
+
- Dataset size: ~3.60 GB
|
354 |
+
- **gujarati**
|
355 |
+
- Training examples: 137,965
|
356 |
+
- Dataset size: ~16.32 GB
|
357 |
+
- **hindi**
|
358 |
+
- Training examples: 734,675
|
359 |
+
- Dataset size: ~97.82 GB
|
360 |
+
- **kannada**
|
361 |
+
- Training examples: 192,208
|
362 |
+
- Dataset size: ~20.07 GB
|
363 |
+
- **konkani**
|
364 |
+
- Training examples: 12,239
|
365 |
+
- Dataset size: ~1.25 GB
|
366 |
+
- **maithili**
|
367 |
+
- Training examples: 22,233
|
368 |
+
- Dataset size: ~2.98 GB
|
369 |
+
- **malayalam**
|
370 |
+
- Training examples: 224,323
|
371 |
+
- Dataset size: ~17.61 GB
|
372 |
+
- **marathi**
|
373 |
+
- Training examples: 336,475
|
374 |
+
- Dataset size: ~42.35 GB
|
375 |
+
- **nepali**
|
376 |
+
- Training examples: 31,997
|
377 |
+
- Dataset size: ~5.21 GB
|
378 |
+
- **odia**
|
379 |
+
- Training examples: 126,675
|
380 |
+
- Dataset size: ~12.69 GB
|
381 |
+
- **punjabi**
|
382 |
+
- Training examples: 21,118
|
383 |
+
- Dataset size: ~3.05 GB
|
384 |
+
- **sanskrit**
|
385 |
+
- Training examples: 14,177
|
386 |
+
- Dataset size: ~2.04 GB
|
387 |
+
- **tamil**
|
388 |
+
- Training examples: 281,508
|
389 |
+
- Dataset size: ~33.86 GB
|
390 |
+
- **telugu**
|
391 |
+
- Training examples: 56,082
|
392 |
+
- Dataset size: ~5.72 GB
|
393 |
+
|
394 |
+
For each configuration, the data files are organized under the corresponding language folder (e.g., `hindi/train-*`).
|
395 |
+
|
396 |
+
## Data Format and Features
|
397 |
+
|
398 |
+
For every configuration, the dataset includes:
|
399 |
+
- **audio_filepath** (audio): Path to the corresponding audio file.
|
400 |
+
- **text** (string): Transcription of the audio recording.
|
401 |
+
- **duration** (float64): Length of the audio in seconds.
|
402 |
+
- **lang** (string): Identifier for the language.
|
403 |
+
|
404 |
+
## How to Use the Dataset
|
405 |
+
|
406 |
+
Shrutilipi is fully compatible with the [Hugging Face Datasets](https://huggingface.co/docs/datasets) library. To load a particular language configuration, use the following example code:
|
407 |
+
|
408 |
+
```python
|
409 |
+
from datasets import load_dataset
|
410 |
+
|
411 |
+
# Example: Load the Hindi configuration
|
412 |
+
dataset = load_dataset("ai4bharat/Shrutilipi", "hindi", split="train")
|
413 |
+
print(dataset)
|