Add paper link, license, and video-text-to-text task category

#1
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +8 -4
README.md CHANGED
@@ -1,15 +1,17 @@
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  ---
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- pretty_name: OneSearch-Video-Bench
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  language:
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  - en
 
 
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  task_categories:
 
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  - visual-question-answering
 
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  tags:
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  - benchmark
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  - visual-search
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  - video
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- size_categories:
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- - n<1K
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  configs:
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  - config_name: default
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  data_files:
@@ -19,6 +21,8 @@ configs:
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  # OneSearch-Video
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  OneSearch-Video contains 307 visual question-answer pairs over 293 silent videos.
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  The distributed MP4 files play at **1 FPS**. Each playback second represents one
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  ordered frame slot in the benchmark input. This is the playback rate of the
@@ -163,4 +167,4 @@ sequence. The MP4 is scaled and compressed; the PNGs retain the annotation
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  images' resolution for object crops and visual search. Frame slot `i` in the
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  video maps to `frame_i` in the PNG sequence. A correspondence check does not
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  establish the semantic correctness or answerability of every QA sample.
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- No model evaluation results are included in this package.
 
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  ---
 
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  language:
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  - en
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+ size_categories:
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+ - n<1K
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  task_categories:
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+ - video-text-to-text
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  - visual-question-answering
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+ pretty_name: OneSearch-Video-Bench
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  tags:
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  - benchmark
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  - visual-search
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  - video
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+ license: apache-2.0
 
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  configs:
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  - config_name: default
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  data_files:
 
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  # OneSearch-Video
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+ This dataset is part of the [OneSearch-VL](https://github.com/appletea233/OneSearch-VL) project and is presented in the paper [OneSearch-VL: Unified Multimodal Deep Research Agent for Image and Video](https://huggingface.co/papers/2610.12419).
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+
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  OneSearch-Video contains 307 visual question-answer pairs over 293 silent videos.
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  The distributed MP4 files play at **1 FPS**. Each playback second represents one
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  ordered frame slot in the benchmark input. This is the playback rate of the
 
167
  images' resolution for object crops and visual search. Frame slot `i` in the
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  video maps to `frame_i` in the PNG sequence. A correspondence check does not
169
  establish the semantic correctness or answerability of every QA sample.
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+ No model evaluation results are included in this package.