---
license: apache-2.0
dataset_info:
  config_name: default
  features:
  - name: index
    dtype: string
  - name: major
    dtype: string
  - name: minor
    dtype: string
  - name: pos_vid
    dtype: string
  - name: pos_start
    dtype: string
  - name: pos_end
    dtype: string
  - name: pos_cap
    dtype: string
  - name: neg_vid
    dtype: string
  - name: neg_start
    dtype: string
  - name: neg_end
    dtype: string
  - name: neg_cap
    dtype: string
configs:
- config_name: default
  data_files:
  - split: test
    path: "vinoground.csv"
  - split: lmmseval
    path: "vinoground_lmmseval.csv"
extra_gated_prompt: >-
  Vinoground is made for academic research purposes only. Commercial use in any form is strictly prohibited.

  The copyright of all videos belong to their respective owners. We do not own any of the videos.

  Any form of unauthorized distribution, publication, copying, dissemination, or modifications made over Vinoground in part or in whole is strictly prohibited.

  You cannot access our dataset unless you comply to all the above restrictions and also provide your information for legal purposes.
extra_gated_fields:
  Name: text
  Country: country
  Affiliation: text
  Job title:
    type: select
    options:
    - Undergraduate Student
    - Graduate Student
    - AI researcher/developer/engineer
    - Other
  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
extra_gated_button_content: Submit
---
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.

Project page: https://vinoground.github.io

Paper: https://arxiv.org/abs/2410.02763

Code: https://github.com/Vinoground/Vinoground

Leaderboard: https://paperswithcode.com/sota/temporal-relation-extraction-on-vinoground