language benchmark
CharadesSTA
Charades-STA is a benchmark dataset for temporal activity localization via language queries, extending the Charades dataset with sentence temporal annotations. It contains 12,408 training and 3,720 testing segment-sentence pairs from videos with natural language descriptions and precise temporal boundaries for localizing activities based on language queries.
Updated Aug 11, 2026
Models12
Model coverage12
MetricScore
EvidenceB
CharadesSTA Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 64.8% | 100.0% | 12 | C | |
| 02 | AC | 63.5% | 90.9% | 12 | C | |
| 03 | AC | 63.5% | 81.8% | 12 | C | |
| 04 | AC | 62.8% | 72.7% | 12 | C | |
| 05 | AC | 62.7% | 63.6% | 12 | C | |
| 06 | AC | 61.2% | 54.5% | 12 | C | |
| 07 | AC | 59.9% | 45.5% | 12 | C | |
| 08 | AC | 59.0% | 36.4% | 12 | C | |
| 09 | AC | 56.0% | 27.3% | 12 | C | |
| 10 | AC | 55.5% | 18.2% | 12 | C | |
| 11 | AC | 54.2% | 9.1% | 12 | C | |
| 12 | AC | 43.6% | 0.0% | 12 | C |
CharadesSTA Score Distribution
A closer view of the leading scores on this benchmark.
CharadesSTA Highlights
The leading models and scores on this benchmark.
What is CharadesSTA?
What CharadesSTA measures and how its scores work.
Charades-STA is a benchmark dataset for temporal activity localization via language queries, extending the Charades dataset with sentence temporal annotations. It contains 12,408 training and 3,720 testing segment-sentence pairs from videos with natural language descriptions and precise temporal boundaries for localizing activities based on language queries.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CharadesSTA
- Modality
- multimodal
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- charadessta|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CharadesSTA.
Which model scores highest on CharadesSTA?
Qwen3 VL 235B A22B Instruct is currently ranked first with 64.8%.
What does CharadesSTA measure?
Charades-STA is a benchmark dataset for temporal activity localization via language queries, extending the Charades dataset with sentence temporal annotations. It contains 12,408 training and 3,720 testing segment-sentence pairs from videos with natural language descriptions and precise temporal boundaries for localizing activities based on language queries.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
12 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.