polished
Datasets
All datasets matching “polished”Matterport3D_polished
Matterport3D_polished
Matterport3D_Polished is a panoramic dataset derived from Matterport3D, which was introduced in DiT360.
This dataset contains 10,000+ high-resolution (2048 x 1024) indoor panoramic images along with corresponding prompts.
Compared with the original dataset, it removes the blurred artifacts at both ends, providing clearer and sharper visual details.
Which tasks will benefit from our dataset?
Text-to-Panorama Generation
⚙️ Getting… See the full description on the dataset page: https://huggingface.co/datasets/Insta360-Research/Matterport3D_polished.Matterport3D_polished
Matterport3D_polished
Matterport3D_Polished is a panoramic dataset derived from Matterport3D, which was introduced in DiT360.
This dataset contains 10,000+ high-resolution (2048 x 1024) indoor panoramic images along with corresponding prompts.
Compared with the original dataset, it removes the blurred artifacts at both ends, providing clearer and sharper visual details.
Which tasks will benefit from our dataset?
Text-to-Panorama Generation
⚙️… See the full description on the dataset page: https://huggingface.co/datasets/yhsz123/Matterport3D_polished.details_Yuma42__KangalKhan-PolishedRuby-7B
Dataset Card for Evaluation run of Yuma42/KangalKhan-PolishedRuby-7B
Dataset automatically created during the evaluation run of model Yuma42/KangalKhan-PolishedRuby-7B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Yuma42__KangalKhan-PolishedRuby-7B.unified_agent_data_30k_filtered_polishedai-detectors-arabic-polished-textYouTube-Transcript-Question-Answer-Dataset-for-RAG-Evaluation-Polished
🎥 YouTube Transcript Q&A Dataset (Generated with RAGAS)
This dataset contains automatically generated Question–Answer (Q&A) pairs created from the transcripts of selected YouTube videos using the Ragas Testset Generator framework.It is designed to support Retrieval-Augmented Generation (RAG) evaluation, QA model training, and semantic reasoning research.
🧠 Overview
This dataset was built by:
Extracting video transcripts using the youtube-transcript-api.… See the full description on the dataset page: https://huggingface.co/datasets/ChamaraVishwajithRajapaksha/YouTube-Transcript-Question-Answer-Dataset-for-RAG-Evaluation-Polished.