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Datasets:
WhissleAI
/
Meta_STT_HI_Set1

Tasks:
Automatic Speech Recognition
Audio Classification
Modalities:
Audio
Text
Formats:
parquet
Languages:
Hindi
Size:
100K - 1M
Tags:
speech-recognition
entity-tagging
intent-prediction
emotion-classication
age-prediction
gender-prediction
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1
Meta_STT_HI_Set1
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---
task_categories:
- automatic-speech-recognition
- audio-classification
language:
- hi
tags:
- speech-recognition
- entity-tagging
- intent-prediction
- emotion-classication
- age-prediction
- gender-prediction
---
# Meta Speech Recognition Hindi Dataset (Set 1)

This dataset contains both metadata and audio files for Hindi speech recognition samples, curated from multiple sources.

## Dataset Sources and Credits

This dataset combines samples from the following sources:

1. **AI4Bharat Indic Speech Dataset**
   - Source: https://ai4bharat.org/indic-speech-dataset
   - License: CC-BY 4.0
   - Citation: Please cite the original paper if you use this data

2. **Common Voice Hindi**
   - Source: https://commonvoice.mozilla.org/hi/datasets
   - License: CC0-1.0
   - Citation: Please acknowledge Mozilla Common Voice if you use this data

3. **Shrutilipi**
   - Source: https://ai4bharat.org/shrutilipi
   - License: CC-BY 4.0
   - Citation: Please cite the original paper if you use this data

## Dataset Statistics

### Splits and Sample Counts
- **train**: 759309 samples
- **valid**: 37464 samples
- **test**: 43406 samples

## Example Samples
### train
```json
{
  "audio_filepath": "/external4/datasets/AI4Bharat/hindi/wavs_train/5348024557584410_0.wav",
  "text": "पालन INTENT_KEYWORDS_SPOTTING AGE_60+ GENDER_MALE DIALECT_RAJASTHAN",
  "duration": 1.32
}
```
```json
{
  "audio_filepath": "/external4/datasets/AI4Bharat/hindi/wavs_train/5348024557795852_0.wav",
  "text": "हमारी मातृभाषा ENTITY_LANGUAGE हिंदी END यह इतनी दिलचस्प है कि किसी को ENTITY_TIME दिन भर END में बोलने के लिए हमें कई प्रकार के मुहावरों का इस्तेमाल किया जाता है INTENT_LANGUAGE_SPECIFIC AGE_30_45 GENDER_MALE DIALECT_MADHYA_PRADESH",
  "duration": 10.816
}
```

### valid
```json
{
  "audio_filepath": "/external4/datasets/AI4Bharat/hindi/wavs/8012ebba-be5d-4cf1-953d-1282fe7d75c4_0_1.wav",
  "text": "ENTITY_ORGANIZATION जी ट्रैवलिंग ट्रैवल एजेंसी END से बोल रए हैं सर INTENT_CONVERSATION AGE_30_45 GENDER_MALE DIALECT_MADHYA_PRADESH",
  "duration": 2.9440000000000004
}
```
```json
{
  "audio_filepath": "/external4/datasets/AI4Bharat/hindi/wavs/8012ebba-be5d-4cf1-953d-1282fe7d75c4_0_2.wav",
  "text": "मुझे ENTITY_PERSON_NAME सर ओमकारेश्‍वर END के लिए ENTITY_VEHICLE_TYPE सेवेन सीटर गाड़ी END चहिए थी INTENT_CONVERSATION AGE_30_45 GENDER_MALE DIALECT_MADHYA_PRADESH",
  "duration": 3.808
}
```

### test
```json
{
  "audio_filepath": "/external4/datasets/AI4Bharat/hindi/wavs_train/82ff7f7c-8c24-4ff2-8c99-74149ab6016b_1_25.wav",
  "text": "त दु सौ के लीजिए देखिए पहिला बोहनी है आपका करिए INTENT_CONVERSATION AGE_45_60 GENDER_FEMALE DIALECT_BIHAR",
  "duration": 4.289999999999992
}
```
```json
{
  "audio_filepath": "/external4/datasets/AI4Bharat/hindi/wavs_train/82ff7f7c-8c24-4ff2-8c99-74149ab6016b_1_26.wav",
  "text": "हां त पहला बोहनी है आप खरीद लीजिए हमको ओ टोक दिए हैं और जाइए नहीं बिकेगा तो उ भी हमको बहुत बती होता है जाना आप ले लीजिए न INTENT_CONVERSATION AGE_45_60 GENDER_FEMALE DIALECT_BIHAR",
  "duration": 11.733000000000004
}
```