datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hinglish
Hinglish Concatenated Audio Dataset
A large-scale, cleaned and annotated speech dataset covering Hindi, Hinglish (Hindi–English code-switching), and Indian English — compiled from 14 public corpora and original custom recordings, unified into a single Parquet dataset with consistent schema.
At a Glance
Stat
Value
Total clips
815,171
Total Estimated Hours
2,264+
Unique speakers
6,304
Raw audio size
~243 GB
Languages
Hindi (hi), Hinglish (hi-en), Indian… See the full description on the dataset page: https://huggingface.co/datasets/agarwalayushi/hinglish.MUCS-Hinglish
MUCS
Dataset Description
This dataset is a HuggingFace/Transformers compatible version of the MUCS 2021 Hinglish dataset.
This dataset is part of the MUltilingual and Code-Switching ASR Challenges for Low Resource Indian Languages challenge, subtask 2.
As this dataset is in Hinglish, it contains codeswitching between Hindi and English. The original dataset was found here.
In addition to making the dataset compatible for Transformers, preprocessing has been applied to… See the full description on the dataset page: https://huggingface.co/datasets/dianavdavidson/MUCS-Hinglish.S2R_Shrutilipi_hindi
Paytmlabs/S2R_Shrutilipi_hindi
Hindi speech dataset prepared from ai4bharat/Shrutilipi for Ultravox training.
Viewing samples on Hugging Face
The hindi config stores audio inside Parquet. The website dataset viewer often cannot decode that and shows no rows.
To inspect examples in the browser, open the Subset (config) drop-down and choose hindi_text_samples — text and continuation only (~2000 rows).
Ultravox training should keep using subset hindi (full audio).… See the full description on the dataset page: https://huggingface.co/datasets/Paytmlabs/S2R_Shrutilipi_hindi.hindi-audio-stories-20-30s
Hindi Audio Stories — 20–30 s clips (Qwen3-ASR, denoised)
Paired (audio, text) Hindi speech dataset. Each ~20–30 s denoised clip has
its transcript in two scripts, stored as separate rows (script column):
devanagari (Hindi) and latin (Hinglish romanization, uroman).
⚠️ Adult (NSFW) content. Research / non-commercial.
Stats
~12.6k clips × 2 scripts ≈ 25k rows · ~94 h · mean 26.8 s (97% in 20–30 s)
Audio: 24 kHz mono FLAC, UVR vocal-isolated (Mel-Band RoFormer —… See the full description on the dataset page: https://huggingface.co/datasets/backpropSukuna/hindi-audio-stories-20-30s.hinglish-casual
Hinglish Casual Speech
33,275 casual Hindi-English code-switched utterances (~31 GB) with audio,
transcripts in both Devanagari and Latin script (utterance /
utterance_latin), speaker ids, style metadata and durations. Full schema is in
the YAML header above.
Collected during the TinyAya programme to probe code-switched speech, which
neither the FLORES-derived text nor the TTS corpora cover. It is not part of
the v0.3 Stage-2 training set — that is
tr-hi-mimi-encoded.
from… See the full description on the dataset page: https://huggingface.co/datasets/tiny-aya-translate/hinglish-casual.hindi-english-asr
Hindi-English Code-Switching Conversational Audio
This dataset contains conversational Hindi-English code-switching audio recordings with human-verified transcripts. The conversations feature natural, spontaneous speech between multiple speakers who fluidly switch between Hindi and English, a common pattern in urban South Asian speech communities.
Transcription Process
All transcripts go through at least two full human review passes. First, a native-speaker… See the full description on the dataset page: https://huggingface.co/datasets/liva-ai/hindi-english-asr.mindbridge-phq9-hindi-audio-fixtures
MindBridge Hindi PHQ-9/GAD-7 — Audio Fixtures (30 clips)
Hindi audio fixtures for OIWER (Orthographically-Informed Word Error Rate,
AI4Bharat metric) audio-quality benchmarking on Gemma 4 E2B's native USM
conformer audio encoder. Used to verify post-fine-tune audio quality has
NOT regressed vs base E2B (audio modules explicitly frozen via
requires_grad=False during training to preserve the native USM encoder).
Recording setup
30 clips spanning PHQ-9 Sections A-D… See the full description on the dataset page: https://huggingface.co/datasets/Huzayfah-Patel/mindbridge-phq9-hindi-audio-fixtures.indian-english-hindi-tts-60min
Indian English + Hindi TTS Dataset
A small, heavily-curated Text-to-Speech corpus: 73.2 minutes (37.7 min Indian
English, 35.5 min Hindi) of single-speaker, studio-grade clips. Every clip's audio
was listened to and its transcript corrected against automated Sarvam ASR output;
resulting WER against the corrected text is 0.05% (en-IN) and 0.0% (hi-IN), showing
both very clean source audio and very accurate ASR. Built for the Sarvam AI ML &
Speech Data Pipeline assignment using a… See the full description on the dataset page: https://huggingface.co/datasets/auraCodes/indian-english-hindi-tts-60min.bharatvani-hindi-showcase
BharatVani Hindi Speech Corpus • Public Interactive Showcase
150-Hour Enterprise Devanagari Hindi Speech Corpus & Precomputed Latents
Curated & Mastered by BharatVani AI • TheCreatorOS
1. Interactive Dataset Preview
This repository is the official public evaluation showcase for the 150-Hour BharatVani Hindi Speech Corpus (103,784 Studio Clips).
Use the Dataset Viewer above to play real audio clips, inspect the word-level timestamp alignments, and… See the full description on the dataset page: https://huggingface.co/datasets/Sheeba2026/bharatvani-hindi-showcase.Hindi-speech-instruct
Hindi LLaMA-Omni Instruct Dataset
A Hindi speech instruction-following dataset designed for training speech-language models such as LLaMA-Omni. Each example pairs a spoken Hindi user question (audio) with a text assistant response.
Dataset Summary
Property
Value
Language
Hindi (hi)
Total examples
~110,718
Train split
~105,000 examples (batches 001–210)
Validation split
~5,500 examples (batches 211–222)
Audio format
FLAC, 16,000 Hz mono… See the full description on the dataset page: https://huggingface.co/datasets/Pastaaaaa2003/Hindi-speech-instruct.vividh-test-hindi
🎙️ Vividh-ASR Benchmark — Hindi (Test Split)
How well does your ASR model actually work in the wild?
Vividh-ASR is a complexity-stratified benchmark that tells you exactly where your model succeeds — and where it falls apart.
Most Indic ASR benchmarks evaluate models on clean, studio-recorded speech. Real-world audio is not that. Vividh-ASR organises evaluation by acoustic complexity rather than domain, exposing the studio-bias that plagues models fine-tuned predominantly on read… See the full description on the dataset page: https://huggingface.co/datasets/adalat-ai/vividh-test-hindi.Hindi_Call_Center_Audio_Dataset_Dual_ChannelDataset Description:
This dataset is a large-scale collection of 1,587,658 hours of processed Hindi dual-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It consists of real-world customer and agent speech recordings collected from call center environments. The dataset is organized in a dual-channel format, where… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Hindi_Call_Center_Audio_Dataset_Dual_Channel.hindi-asr-benchmark
SkunkWorks Hindi STT Benchmark
Hindi ASR benchmark evaluating SkunkWorks alongside major commercial Hindi STT providers
(ElevenLabs, Deepgram, Sarvam) across 6 held-out evaluation subsets.
Subsets
config
source
n
kathbath
AI4Bharat Kathbath
1,929
kathbath_noisy
Kathbath noisy mic conditions
1,929
commonvoice
Mozilla Common Voice Hindi
1,727
mucs
MUCS 2021 Hindi subtask
3,897
fleurs
Google FLEURS hi_in test
418
indictts
AI4Bharat IndicTTS
100… See the full description on the dataset page: https://huggingface.co/datasets/SkunkWorkLabs/hindi-asr-benchmark.mucs-hinglish-blindtestHindi-Call-Center-Audio-Dataset-Single-ChannelDataset Description:
This dataset is a large-scale collection of 1,587,658 hours of processed Hindi single-channel call center audio recordings, containing 3,569,083 hours of processed call center audio recordings across 54 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
The dataset captures authentic speech characteristics such as tone variation, pauses, silence patterns, interruptions, and natural speaking behaviour commonly… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Hindi-Call-Center-Audio-Dataset-Single-Channel.sarvam-indian-eng-hin-tts
Indian English + Hindi TTS Dataset (emotion-tagged)
A curated, single-speaker-per-clip speech dataset for Text-to-Speech research,
covering Indian English and Hindi. Every clip is sourced from YouTube,
transcribed with Sarvam Saaras v3, and emotion-tagged via acoustic cues + a Sarvam LLM.
Total: 82 clips, 55.6 minutes
Hindi: 28.8 min | Indian English: 26.8 min
Audio: mono, 24 kHz, 16-bit WAV
Single speaker per clip, clean (no background music / overlapping speakers)… See the full description on the dataset page: https://huggingface.co/datasets/Abhi29112005/sarvam-indian-eng-hin-tts.Hindi-Speech-Dataset
🎧 Hindi Speech Dataset
The Hindi Speech Dataset is a high-quality and structured speech audio dataset developed to support modern AI systems that rely on diverse audio data and scalable voice data. It contains 132 hours of recordings distributed across 565 files, available in MP3 and WAV formats, with a total size of 101 MB. This carefully curated audio dataset provides balanced speaker representation with 49% female and 51% male contributors, covering an age range from 18 to 50+… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Hindi-Speech-Dataset.hindi-speech-recognition-dataset
Hindi Speech Dataset for recognition task
Dataset comprises 760 hours of telephone dialogues in Hindi, collected from 1,000+ native speakers across various topics and domains. This dataset boasts an impressive 95% sentence accuracy rate, making it a valuable resource for advancing speech recognition technology.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in automatic speech recognition (ASR) systems, transcribing audio… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/hindi-speech-recognition-dataset.cs-fleurs-hineng-read-test
CS-FLEURS Hindi-English Read Test
n = 233 utterances · private eval set for code-switched ASR benchmarking
Source
Derived from byan/cs-fleurs (read/test split, language = hin-eng).
CS-FLEURS is a code-switching extension of FLEURS covering Hindi-English mixed speech.
Construction
Filtered to language == "hin-eng" rows from the read/test split:
Audio downloaded directly from the byan/cs-fleurs HF repository
transcription = reference text (mixed… See the full description on the dataset page: https://huggingface.co/datasets/Trelis/cs-fleurs-hineng-read-test.Hindi_Podcast_Audio_Dataset_Dual_Channel
Dataset Description
This dataset is a large-scale collection of 11,607 hours of processed Hindi dual-channel podcast audio recordings, containing 57,569 hours of processed podcast audio recordings across 12 languages, designed to support the development and training of advanced speech AI and conversational AI systems.
It captures real-world podcast conversations across diverse topics and formats. The dataset is organized in a dual-channel format, where corresponding speaker… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/Hindi_Podcast_Audio_Dataset_Dual_Channel.hinglish-code-switched-conversations-v1
Hinglish Code-Switched Conversational Dataset v1
Overview
This dataset contains structured Hinglish conversational voice data built to reflect how people actually speak in real-world interactions.
Most speech datasets are clean, scripted, or heavily processed. That works in controlled testing, but it breaks in production where speakers interrupt each other, switch languages, use regional accents, pause mid-thought, and shift context naturally.
This sample release… See the full description on the dataset page: https://huggingface.co/datasets/sonexis-ai/hinglish-code-switched-conversations-v1.hindi_and_english_stt_tts_master_data
Hindi and English STT/TTS Master Data
Combined speech dataset for Hindi and Indian English automatic speech recognition (ASR) and text-to-speech (TTS) training. Parquet shards embed WAV audio bytes with transcripts.
Dataset structure
hindi/<source>/train-*.parquet
english/<source>/train-*.parquet
Each config loads one source independently (~3.24M total rows, ~1.9 TB).
Features
Column
Type
Description
audio
Audio
WAV bytes embedded in… See the full description on the dataset page: https://huggingface.co/datasets/sajalmadan0909/hindi_and_english_stt_tts_master_data.finetuned-hindi-punjabi-denoised
Multilingual Speaker Diarization Dataset
This dataset contains synthetic multilingual speaker diarization data with Hindi, English, and Punjabi audio samples.
Dataset Structure
├── audio/ # WAV audio files (16kHz) - 627 files
├── csv/ # Individual CSV annotations - 627 files
├── rttm/ # RTTM format files for diarization - 627 files
├── all_samples_combined.csv # Complete dataset annotations
└── all_samples_combined.rttm # Complete RTTM… See the full description on the dataset page: https://huggingface.co/datasets/noty7gian/finetuned-hindi-punjabi-denoised.hindi_and_english_stt_tts_codemix_data
Hindi and English STT/TTS Codemix Data
Hinglish (Hindi-English code-mixed) speech dataset for automatic speech recognition (ASR) and text-to-speech (TTS) research.
Dataset Description
Each row is a timestamped speech segment clipped from conversational Hinglish audio recordings.
Column
Type
Description
text
string
Transcript of the speech segment (Hinglish)
audio
audio (16 kHz mono)
Corresponding audio clip
duration
float32
Clip duration in seconds… See the full description on the dataset page: https://huggingface.co/datasets/sajalmadan0909/hindi_and_english_stt_tts_codemix_data.mucs-hindi-english-codemix-asr
MUCS 2021 Hindi-English Code-Mixed ASR
Hindi-English code-mixed speech recognition dataset from the
MUCS 2021 (Multilingual and
Code-Switching ASR Challenges) subtask 2, released as spoken-tutorial
recordings with Hindi-English code-mixed transcripts.
Long-form recordings were sliced into per-utterance clips using the
original Kaldi-style segments/text/utt2spk alignment.
Dataset structure
split
utterances
speakers
audio hours
avg clip len
train
52,825… See the full description on the dataset page: https://huggingface.co/datasets/sajalmadan0909/mucs-hindi-english-codemix-asr.hindi-speech-samples
Hindi Speech Samples
This sample shows Hindi contributor speech paired with validated text. It is meant to help buyers review spoken content, transcript alignment, and audio format consistency before scoping a larger delivery.
What This Shows
Single-speaker Hindi recordings from contributor collection workflows
Ground-truth transcript alignment at the clip level
Audio metadata suitable for evaluating format and capture consistency
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/psdn-ai/hindi-speech-samples.hinglish-stt-tts-deepgram
Hinglish STT/TTS Speech with Deepgram Transcripts
A Hindi-English code-mixed (Hinglish) speech dataset for automatic speech
recognition (ASR) and text-to-speech (TTS) research. The dataset contains
23,543 timestamped speech segments from conversational recordings. Transcript
replacement was performed using Deepgram where a non-empty result was
available; otherwise, the original transcript was retained.
Dataset structure
Column
Type
Description
text… See the full description on the dataset page: https://huggingface.co/datasets/sajalmadan0909/hinglish-stt-tts-deepgram.YodaLingua-Hindi
YodaLingua-Hindi
YodaLingua is a high-quality speech dataset designed for training text-to-speech (TTS) systems, ASR models, and any application requiring clean, well-aligned audio–text pairs.This release contains the Hindi portion of the multilingual YodaLingua collection.
🧾 Dataset Overview
Property
Value
Total clips
26,889 audio–transcription pairs
Total duration
79 hours
Speakers
2,065 distinct speakers
Audio format
MP3 • mono • 24 kHz • 16-bit… See the full description on the dataset page: https://huggingface.co/datasets/Thomcles/YodaLingua-Hindi.combined_synthetic_datasets_eng_hin_engandhincodemix
Combined Synthetic Datasets (English, Hindi, Code-Mix)
Public ASR training data combining YouTube podcast VAD clips, English/Hinglish podcasts, and synthetic Hinglish entity-normalization speech.
Subsets
Config
Rows
Description
yt_video_transcript
4,100
Hindi-dominant YouTube podcast segments (VAD chunks)
vad_english
1,160
English podcast segments
vad_hindi_english
787
Hindi–English code-mixed podcast segments
synthetic_voice_stt
24,459
Synthetic… See the full description on the dataset page: https://huggingface.co/datasets/sajalmadan0909/combined_synthetic_datasets_eng_hin_engandhincodemix.