Sign inGet started
Dataset · Hugging Face

David0219/TeleEgo

TeleEgo: Benchmarking Egocentric AI Assistants in the Wild 📢 Note:This project is still under active development, and the benchmark will be continuously updated. 📌 Introduction TeleEgo is a comprehensive omni benchmark designed for multi-person, multi-scene, multi-task, and multimodal long-term memory reasoning in egocentric video streams. It reflects realistic personal assistant… See the full description on the dataset page: https://huggingface.co/datasets/David0219/TeleEgo.

Author / organizationDavid0219
License (as declared)mit
Downloads2.2K (as reported by Hugging Face)
Likes1
Created26 October 2025
Last updated at source11 November 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/98add8dc-6201-4706-a5e1-e637206c8c18" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: TeleEgo: Benchmarking Egocentric AI Assistants in the Wild 📢 Note:This project is still under active development, and the benchmark will be continuously updated. 📌 Introduction TeleEgo is a comprehensive omni benchmark designed for multi- → TeleEgo: Benchmarking Egocentric AI Assistants in the Wild 📢 Note:This project is still under active development, and the benchmark will be continuously updated. 📌 Introduction TeleEgo is a comprehensive omni benchmark designed for multi-

Changes detected by Silytics between refreshes of the source.

More from David0219

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.