Datasetpublic

WhissleAI/Meta_STT_HI_Set1

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:… See the full description on the dataset page: https://huggingface.co/datasets/WhissleAI/Meta_STT_HI_Set1.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

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
2.Source: https://ai4bharat.org/indic-speech-dataset
3.License: CC-BY 4.0
4.Citation: Please cite the original paper if you use this data

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

1.Shrutilipi
2.Source: https://ai4bharat.org/shrutilipi
3.License: CC-BY 4.0
4.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
}