Add video-text-to-text task category and update code link
Browse filesThis PR adds the `video-text-to-text` task category to the metadata for better discoverability on the Hub. It also updates the GitHub repository link to the one found in the paper's official repository and ensures the paper is correctly linked.
README.md
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---
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license: mit
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configs:
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dataset_info:
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features:
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splits:
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---
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MetaphorVU: Towards Metaphorical Video Understanding
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Paper: https://huggingface.co/papers/2605.25461
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Code: https://github.com/
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We propose MetaphorVU-Bench, a comprehensive benchmark for metaphorical video understanding, characterized by a well-founded systematic taxonomy, metaphorical videos curated from billions of real-world candidates, and rigorous human annotation.
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license: mit
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task_categories:
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- video-text-to-text
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configs:
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- config_name: default
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data_files:
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- split: test
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path: test.jsonl
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dataset_info:
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features:
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- name: video_id
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dtype: string
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- name: metaphor_type
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sequence: string
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- name: title
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dtype: string
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- name: golden_answers
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sequence: string
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- name: frames
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sequence: string
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splits:
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- name: test
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num_examples: 861
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---
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# MetaphorVU: Towards Metaphorical Video Understanding
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Paper: [MetaphorVU: Towards Metaphorical Video Understanding](https://huggingface.co/papers/2605.25461)
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Code: [https://github.com/icip-cas/MetaphorVU](https://github.com/icip-cas/MetaphorVU)
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We propose MetaphorVU-Bench, a comprehensive benchmark for metaphorical video understanding, characterized by a well-founded systematic taxonomy, metaphorical videos curated from billions of real-world candidates, and rigorous human annotation.
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