size_categories:100K<n<1M format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: file_name
    dtype: string
  - name: uni
    dtype: string
  - name: wylie
    dtype: string
  - name: url
    dtype: string
  - name: dept
    dtype: string
  - name: grade
    dtype: int64
  - name: char_len
    dtype: int64
  - name: audio_len
    dtype: float64
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 51459479
    num_examples: 112870
  - name: validation
    num_bytes: 899122
    num_examples: 2000
  - name: test
    num_bytes: 3601636
    num_examples: 8000
  download_size: 21291284
  dataset_size: 55960237
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
# Tibetan ASR Dataset

This dataset is designed for Automatic Speech Recognition (ASR) tasks with Tibetan speech data. It contains samples from various departments, and the data is split into training, validation, and test sets.

## Dataset Overview

The dataset contains audio files in Tibetan, which have been grouped into different departments (`STT_AM`, `STT_AM_AB`, `STT_KH`, `STT_KH_AB`). It also includes transcripts in both Unicode and Wylie transliteration formats. The dataset is split into three subsets: **train**, **validation**, and **test**.

- **Train**: 112,870 samples
- **Validation**: 2,000 samples
- **Test**: 8,000 samples

### Department-wise Statistics
| Department | Number of Audio Files | Total Audio Length (hours) |
|------------|-----------------------|----------------------------|
| **STT_AM** | 26,736                | 28.19                      |
| **STT_AM_AB** | 23,121              | 24.86                      |
| **STT_KH** | 43,946                | 46.69                      |
| **STT_KH_AB** | 30,272              | 34.07                      |
| **Total**  | **123,075**           | **133.82**                 |

---

## Dataset Features

- **file_name**: The name of the file.
- **uni**: Unicode transcription of the audio.
- **wylie**: Wylie transliteration of the audio.
- **url**: URL to download the audio file.
- **dept**: Department of the dataset (e.g., STT_AM, STT_AM_AB).
- **grade**: Grade of the audio sample.
- **char_len**: Length of the transcript (in characters).
- **audio_len**: Duration of the audio sample (in seconds).

