datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DCASE2026-Task5-DevSet
DCASE 2026 Task 5 Audio-Dependent Question Answering (ADQA) Development Set
This is the official Development Set for DCASE 2026 Challenge Task 5: Audio-Dependent Question Answering (ADQA).
The ADQA task focuses on addressing "Textual Hallucination" in Large Audio-Language Models (LALMs) — where models pass audio understanding benchmarks by relying on text prompts and internal linguistic priors rather than actual audio perception. ADQA introduces a rigorous evaluation… See the full description on the dataset page: https://huggingface.co/datasets/Harland/DCASE2026-Task5-DevSet.bharatvani-hindi-speech-corpus
BharatVani Hindi Speech Corpus (150-Hour Studio Dataset)
Proprietary Speech Asset • TheCreatorOS • BharatVani AI
1. Overview
The BharatVani Hindi Speech Corpus is an enterprise-grade, high-fidelity Indian speech dataset engineered specifically for training sovereign neural Text-to-Speech (TTS) models, voice cloning engines, and speech foundation models in Devanagari Hindi.
Audio Clips: 103,784 Verified Studio Audio Clips (24,000 Hz, 16-bit Mono… See the full description on the dataset page: https://huggingface.co/datasets/Sheeba2026/bharatvani-hindi-speech-corpus.nightjar-flight-20260814
nightjar-flight-20260814
Elevation datum (fit_el_datum, 2026-08-16)
Status: FEW_ON_DRONE — this day's elevation datum is honestly UNSOLVABLE from
banked data (camera never/rarely locked on the drone).
Close-range elevation truth for this day remains datum-limited (~25 deg
floor). Tool: sirch613/subhunt-v2 v3/fit_el_datum.py; summary:
joshruby/acoustic-knowledge -> v3/assets/el_datum/SUMMARY.json.
MMAG-Benchmark
MMAG: A Multi‑Control Mixed Audio Generation Benchmark
MMAG is a comprehensive benchmark for evaluating mixed audio generation under multiple control conditions. It assesses a model's ability to generate coherent acoustic scenes containing speech, music, and sound effects simultaneously, while supporting fine-grained control over speaker identity and temporal alignment.
Dataset Structure
The dataset is organized into three subsets, each targeting a specific… See the full description on the dataset page: https://huggingface.co/datasets/anonymous2026082026/MMAG-Benchmark.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.