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--- |
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license: apache-2.0 |
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dataset_info: |
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config_name: default |
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features: |
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- name: index |
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dtype: string |
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- name: major |
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dtype: string |
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- name: minor |
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dtype: string |
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- name: pos_vid |
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dtype: string |
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- name: pos_start |
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dtype: string |
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- name: pos_end |
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dtype: string |
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- name: pos_cap |
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dtype: string |
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- name: neg_vid |
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dtype: string |
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- name: neg_start |
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dtype: string |
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- name: neg_end |
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dtype: string |
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- name: neg_cap |
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dtype: string |
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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: "vinoground.csv" |
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- split: lmmseval |
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path: "vinoground_lmmseval.csv" |
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extra_gated_prompt: >- |
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Vinoground is made for academic research purposes only. Commercial use in any form is strictly prohibited. |
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The copyright of all videos belong to their respective owners. We do not own any of the videos. |
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Any form of unauthorized distribution, publication, copying, dissemination, or modifications made over Vinoground in part or in whole is strictly prohibited. |
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You cannot access our dataset unless you comply to all the above restrictions and also provide your information for legal purposes. |
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extra_gated_fields: |
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Name: text |
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Country: country |
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Affiliation: text |
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Job title: |
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type: select |
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options: |
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- Undergraduate Student |
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- Graduate Student |
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- AI researcher/developer/engineer |
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- Other |
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By clicking Submit below I accept the terms and conditions and acknowledge that the information I provide is only for legal purposes and will not be shared with any other entity: checkbox |
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extra_gated_button_content: Submit |
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--- |
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This repository holds the dataset Vinoground, a temporal counterfactual dataset composed of 1000 short and natural video-caption pairs.This benchmark has also been integrated into \[[lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval)\]. One can begin using it by cloning their repository. Evaluation is now made easier. You can also use the evaluation codes we provided in this repository. |
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Project page: https://vinoground.github.io |
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Paper: https://arxiv.org/abs/2410.02763 |
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Code: https://github.com/Vinoground/Vinoground |
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Leaderboard: https://paperswithcode.com/sota/temporal-relation-extraction-on-vinoground |
