Dataset · Hugging Face

Rapidata/text-2-video-human-preferences-kling-v2.1-master

Name: text-2-video-human-preferences-kling-v2.1-master
Creator: Rapidata
License: apache-2.0
Keywords: task_categories:video-classification, task_categories:text-to-video, task_categories:text-classification, language:en, license:apache-2.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us

Rapidata Video Generation Kling v2.1 Master Human Preference In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate Kling v2.1 Master video generation model on our benchmark. This dataset was collected in roughtly 30 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Explore our latest model rankings on our website. If you get value from this dataset and would like to see more in the… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-kling-v2.

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Author / organization	Rapidata
License (as declared)	apache-2.0
Downloads	165 (as reported by Hugging Face)
Likes	10
Created	30 July 2025
Last updated at source	30 July 2025

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16 Oct 2026 Description: Rapidata Video Generation Kling v2.1 Master Human Preference In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate Kling v2.1 Master video generation model on our benchmark. This dataset was collected i → Rapidata Video Generation Kling v2.1 Master Human Preference In this dataset, ~60k human responses from ~20k human annotators were collected to evaluate Kling v2.1 Master video generation model on our benchmark. This dataset was collected i

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