Datasets:
Formats:
parquet
Languages:
Hindi
Size:
100K - 1M
Tags:
speech-recognition
entity-tagging
intent-prediction
emotion-classication
age-prediction
gender-prediction
metadata
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:
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
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
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
{
"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
}
{
"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
{
"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
}
{
"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
{
"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
}
{
"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
}