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Datasets:
VLM2Vec
/
DiDeMo

Tasks:
Text-to-Video
Text Retrieval
Video Classification
Modalities:
Text
Video
Formats:
json
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
Community
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  1. .gitattributes +2 -0
  2. README.md +54 -0
  3. didemo_test.json +0 -0
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  11. raw_data/tempoTL+didemo_test.json +0 -0
  12. raw_data/tempoTL+didemo_train.json +3 -0
  13. raw_data/tempoTL+didemo_val.json +0 -0
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.gitattributes CHANGED
@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ raw_data/tempoHL+didemo_train.json filter=lfs diff=lfs merge=lfs -text
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+ raw_data/tempoTL+didemo_train.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: "didemo_train.json"
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+ - split: test
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+ path: "didemo_test.json"
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+ task_categories:
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+ - text-to-video
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+ - text-retrieval
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+ - video-classification
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+ language:
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+ - en
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ ## About
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+
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+ [DiDeMo](https://openaccess.thecvf.com/content_iccv_2017/html/Hendricks_Localizing_Moments_in_ICCV_2017_paper.html) contains 10K long-form videos from Flickr. For each video, ~4 short sentences are annotated in temporal order. We follow the existing works to concatenate those short sentences and evaluate ‘paragraph-to-video’ retrieval on this benchmark.
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+
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+ We adopt the official split:
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+ - Train: 8,395 videos, 8,395 captions (concatenate from 33,005 short captions)
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+ - Val: 1,065 videos, 1,065 captions (concatenate from 4,290 short captions) (We don't have the collection yet.)
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+ - Test: 1,004 videos, 1,004 captions (concatenate from 4,021 short captions)
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+
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+ ---
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+
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+ ## Get Raw Videos
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+
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+ ```bash
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+ cat DiDeMo_Videos_mp4_train.tar.part-* | tar -vxf -
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+ tar -xvf DiDeMo_Videos_mp4_test.tar
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+ ```
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+
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+ ---
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+
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+ ## Official Release
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+
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+ Video Release: [DiDeMoRelease](https://data.ciirc.cvut.cz/public/projects/LisaAnne/DiDeMoRelease/)
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+
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+ ---
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+
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+ ## 🌟 Citation
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+
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+ ```bibtex
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+ @inproceedings{anne2017didemo,
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+ title={Localizing moments in video with natural language},
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+ author={Anne Hendricks, Lisa and Wang, Oliver and Shechtman, Eli and Sivic, Josef and Darrell, Trevor and Russell, Bryan},
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+ booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
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+ year={2017}
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+ }
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+ ```
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