video-retrieval
VideoRetrieval
VideoRetrieval
An MTEB dataset
Massive Text Embedding Benchmark
VideoRetrieval
Task category
t2t
Domains
None
Reference
https://arxiv.org/abs/2203.03367
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["VideoRetrieval"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
To learn more about how to run models on mteb task check out… See the full description on the dataset page: https://huggingface.co/datasets/mteb/VideoRetrieval.VideoRetrieval
Dataset Card for "VideoRetrieval"
More Information needed
VideoRetrieval-qrels
Dataset Card for "VideoRetrieval-qrels"
More Information needed
vtv24-video-retrieval-benchmark
VTV24 Video Retrieval Benchmark
This dataset contains 10 VTV24 videos and 33 query-to-timestamp annotations for video retrieval benchmarking. The videos are provided as 360p MP4 files, alongside video-retrieval-benchmark.json.
The annotation tool is available at https://github.com/duclvq/video-retrieval-bench.
No license claim is made over the source broadcasts; users are responsible for ensuring that their use complies with applicable rights and terms.
video_retrieval_dataMMEB_Pro_Video_Retrieval