shreyasg97/Audio-MLQA
Related publication: "Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision". Description Audio-MLQA takes textual context and questions from MLQA(License: CC-BY-SA 3.0) and synthesises the spoken questions with state-of-the-art TTS (ElevenLabs-v3) at 44.1 kHz. This version of the benchmark contains: 250 samples per language for EN, ES, DE, VI, ZH. This benchmark can be used to test whether a model can align a spoken question… See the full description on the dataset page: https://huggingface.co/datasets/shreyasg97/Audio-MLQA.
| Author / organization | shreyasg97 |
|---|---|
| License (as declared) | cc-by-sa-3.0 |
| Downloads | 172 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 23 September 2026 |
| Last updated at source | 23 September 2026 |
Popularity, last 2 days
172 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.