---
license: cc-by-nc-nd-4.0
language:
- kok
- knn
- gom
task_categories:
- automatic-speech-recognition
pretty_name: Konkani ASR Dataset v0
dataset_info:
  features:
  - name: id
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 48000
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 5567183457
    num_examples: 201
  download_size: 5564222416
  dataset_size: 5567183457
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Konkani ASR Dataset v0

## Description
This dataset contains audio files for Automatic Speech Recognition (ASR) in the Konkani language. It includes 201 FLAC audio files, originally collected for training ASR models.

## Updates
- All .flac files have been moved to the 'data/' directory.

## Structure
- **data/**: Contains all the FLAC audio files named as 0000000001.flac to 0000000201.flac.

## Usage
You can load this dataset using the Hugging Face Datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("alvynabranches/konkani-asr-v0", split="train")
```

Each example has an 'audio' field with the path to the FLAC file. The sampling rate is 48000 Hz.

## Author Details
This dataset is collected by Alvyn Abranches, with the help of St. Xavier's College Mapusa Goa, with the help of Dr. Fr. Luis Gomes.

## Dataset Attributes
This dataset consists of 201 segments of unannotated speech collected through consented assignments of students. This dataset consists of 31 hours, 54 minutes, and 34.34443168929 seconds.

There will be a new dataset hosted on `alvynabranches/conversational-konkani-dataset-v1` or `ilhrf/conversational-konkani-dataset-v1` soon. The data collection is done by International Linguistic Heritage Research Foundation (ILHRF). The author of this dataset is the founder of ILHRF.

In case we have some annotaters to contribute to this dataset, contact through [alvynabranches@gmail.com](mailto:alvynabranches@gmail.com).

## License
This dataset is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0). You can use it for non-commercial purposes, share adaptations under the same license, and must give appropriate credit.