Aspects
Datasets
All datasets matching “Aspects”muchocine_aspectsChatGPT-Gemini-Claude-Perplexity-Human-Evaluation-Multi-Aspects-Review-Dataset
ChatGPT Gemini Claude Perplexity Human Evaluation Multi Aspect Review Dataset
Introduction
Human evaluation and reviews with scalar score of AI Services responses are very usefuly in LLM Finetuning, Human Preference Alignment, Few-Shot Learning, Bad Case Shooting, etc, but extremely difficult to collect.
This dataset is collected from DeepNLP AI Service User Review panel (http://www.deepnlp.org/store), which is an open review website for users to give reviews and upload… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/ChatGPT-Gemini-Claude-Perplexity-Human-Evaluation-Multi-Aspects-Review-Dataset.lm6-movies-reviews-aspects
IMDB Reviews (Aspect Based Formatted)
Overview
IMDB Reviews (Aspect Based Formatted) is a specialized dataset designed for text classification tasks that involve identifying and categorizing specific aspects of movie reviews. The dataset focuses on extracting and labeling various elements of filmmaking, such as cinematography, story, characters, direction, and unique concepts, from user reviews on IMDB.
The dataset can be used to develop and train models for aspect-based… See the full description on the dataset page: https://huggingface.co/datasets/Lowerated/lm6-movies-reviews-aspects.AspectSim-Evaluation-Benchmark
Dataset Card for AspectSim
Dataset Details
Dataset Description
AspectSim is a large-scale aspect-conditioned document-pair similarity evaluation benchmark. Each instance consists of two full documents, a natural-language aspect on which the comparison is based, and a human-interpretable similarity label on an ordinal scale. The benchmark spans five diverse domains: news, opinion, hotel reviews, medical literature, and scientific peer reviews, enabling… See the full description on the dataset page: https://huggingface.co/datasets/aspectsim/AspectSim-Evaluation-Benchmark.ASPECT_SENT_SEASPECT_SENT