ai4bharat/MANGO
MANGO: A Corpus of Human Ratings for Speech MANGO (MUSHRA Assessment corpus using Native listeners and Guidelines to understand human Opinions at scale) is the first large-scale dataset designed for evaluating Text-to-Speech (TTS) systems in Indian languages. Key Features: 255,150 human ratings of TTS-generated outputs and ground-truth human speech. Covers two major Indian languages: Hindi & Tamil, and English. Based on the MUSHRA (Multiple Stimuli with Hidden… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/MANGO.
| Author / organization | ai4bharat |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 202 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 15 December 2024 |
| Last updated at source | 13 May 2025 |
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202 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: MANGO: A Corpus of Human Ratings for Speech MANGO (MUSHRA Assessment corpus using Native listeners and Guidelines to understand human Opinions at scale) is the first large-scale dataset designed for evaluating Text-to-Speech (TTS) systems i → MANGO: A Corpus of Human Ratings for Speech MANGO (MUSHRA Assessment corpus using Native listeners and Guidelines to understand human Opinions at scale) is the first large-scale dataset designed for evaluating Text-to-Speech (TTS) systems i
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