Sign inGet started
Dataset · Hugging Face

ai4bharat/IndicContextEval

IndicContextEval A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages Code and resources: https://github.com/AI4Bharat/IndicContextEval Dataset at a glance Languages Hindi, Bengali, Telugu, Marathi, Gujarati, Malayalam, Odia, Urdu Speakers 555 Duration 55.93 h Utterances 16,884 Domains 23 professional domains Speech styles Read, Extempore Prompt levels L0–L6 (7 levels)… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/IndicContextEval.

Author / organizationai4bharat
License (as declared)cc-by-4.0
Downloads303 (as reported by Hugging Face)
Likes4
Created19 June 2026
Last updated at source19 June 2026
contextual-asraudio-llmspeech-recognitionindicmultilingualbenchmark
Embed this entry
<iframe src="https://silytics.si/embed/item/05141816-5111-4d89-8d7f-a11bdd920ac3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

303 now (+30 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from ai4bharat

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.