Omkar2118/datasets huggingface dataset:
Flipkart Products Review

The Flipkart Products Review Dataset is a collection of reviews provided by customers who purchased products from Flipkart, one of India’s leading e-commerce platforms. This dataset is valuable for sentiment analysis, which helps determine the emotional tone of customer reviews. Sentiment analysis is commonly used in e-commerce and other platforms to understand customer opinions and experiences with products.
ToolE

The ToolE dataset encompasses various types of user queries in the form of prompts. These prompts trigger LLMs to utilize tools, including both single-tool and multi-tool scenarios. The dataset serves as a valuable resource for assessing LLMs’ understanding of tool functionality and their ability to select appropriate tools for specific tasks.

Introducing paper: MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
Social Chemistry 101

The Social Chemistry 101 dataset is a collection of over 290,000 rules of thumb (ROTs) for evaluating people’s behavior in everyday social situations.

Introducing paper: Social Chemistry 101: Learning to Reason about Social and Moral Norms
ConfAIde

ConfAIde is a benchmark that evaluates the inference-time privacy implications of Language Models (LLMs) in interactive settings.

Introducing paper: Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
XSTest

The XSTest dataset is a test suite designed to identify exaggerated safety behaviors in large language models. It was introduced to systematically study the phenomenon where some models refuse even clearly safe prompts if they use similar language to unsafe prompts or mention sensitive topics.

Introducing paper: XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models