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Update README with dataset statistics (#2)
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---
dataset_info:
features:
- name: file_name
dtype: string
- name: url
dtype: string
- name: Dilgo_kyentse_Rinpoche_model_inference
dtype: string
- name: audio_duration
dtype: float64
- name: Human_transcript
dtype: string
- name: General_model_inference
dtype: string
- name: situ_rinpoche_model_inference
dtype: string
splits:
- name: train
num_bytes: 791538
num_examples: 552
download_size: 266432
dataset_size: 791538
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Tibetan ASR Model Comparison: Garchen Rinpoche Dataset
## Dataset Information
- Content: Garchen Rinpoche Tibetan teachings
- Samples: 552 audio segments
- Duration: 1.21 hours total
- Metrics used: Character Error Rate (CER), Word Error Rate (WER), Syllable Error Rate (SER)
## Model Performance Summary
### General STT Model
- Model: [OpenPecha General Tibetan STT](https://huggingface.co/ganga4364/mms_300_v4.96000)
- Character Error Rate: 27.53%
- Word Error Rate: 57.24%
- Syllable Error Rate: 51.15%
- Major Error Type: Word substitutions (75%)
### Situ Rinpoche Model
- Model: [OpenPecha Situ Rinpoche ASR](https://huggingface.co/openpecha/Situ_rinpoche_asr)
- Character Error Rate: 28.92%
- Word Error Rate: 60.68%
- Syllable Error Rate: 53.68%
- Major Error Type: Word substitutions (75%)
### Dilgo Khyentse Model
- Model: [OpenPecha Dilgo Khyentse ASR](https://huggingface.co/ganga4364/kr_wav2vec2_v2.137000)
- Character Error Rate: 65.96%
- Word Error Rate: 92.63%
- Syllable Error Rate: 91.55%
- Major Error Type: High proportion of deletions (33%)
### Detailed Documentation [here](https://forum.openpecha.org/t/stt-evaluation-report-on-garchen-rinpoche-by-different-models/323)
---
# Dataset Statistics
## Configuration: `default`
### Split: `train`
**Total Rows**: 552
#### `audio_duration`
- **Type**: numerical
- **Data Type**: `float64`
- **Sum**: 4,362.82
- **Average**: 7.90
---