Dataset

TimeGround-1M

Contains ~63k English long-form audio recordings with question-answer, interval-description, and timestamped summary annotations for time-aware speech tasks.

Hugging Face ↗Jul 13, 2026Paper ↗

  • nlp
  • audio
  • temporal-grounding
  • speech-qa
  • long-form-audio
Pipeline diagram showing audio encoder, projection, tokenization feeding into LLM
Pipeline diagram showing audio encoder, projection, tokenization feeding into LLM

What it is

Synthetic English long-audio dataset for timestamped speech QA and summarization across localization, interval description, and timed summaries. ~63k English long-form recordings totaling ~14.2k hours, with 3 time-grounded annotation views: temporal localization, temporal description, and segmented timestamped summaries.

Key results

  • 59k train + 4.2k test recordings
  • 13.0k train hours + 1.2k test hours
  • 4 duration buckets from 0-10 to 60-120 min

Useful for training and evaluating long-audio timestamp localization, interval description, and timed summarization models.

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