Sign inGet started
Dataset · Hugging Face

ai-sage/TimeGround-1M

TimeGround-1M Synthetic English audio dataset for time-aware speech understanding, covering temporal localization, temporal description, and timed summaries. Data Filtering We use 14k hours of audio from YODAS2 English shards, selected from a 24k-hour source pool after language- and silence-ratio filtering. Synthetic annotations were generated for three time-grounded tasks, then filtered through LLM-based verification, deterministic validity checks, and… See the full description on the dataset page: https://huggingface.co/datasets/ai-sage/TimeGround-1M.

Author / organizationai-sage
License (as declared)cc-by-3.0
Downloads435 (as reported by Hugging Face)
Likes8
Created13 July 2026
Last updated at source29 July 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/eff704cf-7948-4f1a-9199-ec4dc30f6eb0" 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

435 now (+9 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

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 Information may be incomplete or out of date.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.