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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 \[[lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval)\] and will be announced in their next public release. 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 |
