420 datasets found

Corpus pairs dataset for LABDet, a robust and language-agnostic bias probing method to quantify intrinsic bias in monolingual PLMs.

Minimal pairs dataset for LABDet, a robust and language-agnostic bias probing method to quantify intrinsic bias in monolingual PLMs.

Sentiment training dataset for LABDet, a robust and language-agnostic bias probing method to quantify intrinsic bias in monolingual PLMs.

The Quora Question Pairs (QQP) dataset consists of 50,000 question pairs labeled with paraphrase or non-paraphrase.

The BEiT dataset used for the experiments in the paper.

The D3 dataset contains a curated sample of social media posts from Jigsaw datasets (Jigsaw, 2019, 2018), annotated for offensiveness in text.

The DICES-350 dataset is a curated sample of 8k multi-turn conversation corpus generated by human agents interacting with a generative AI-chatbot (Thoppilan et al., 2022) in an...

Human annotation plays a core role in machine learning — annotations for supervised models, safety guardrails for generative models, and human feedback for reinforcement...

The dataset used in the paper ChatGPT: A conversational AI model.

Ensuring alignment with human preferences is a crucial characteristic of large language models (LLMs). Presently, the primary alignment methods, RLHF and DPO, require extensive...

ParSEL: Parameterized Shape Editing with Language, a system that enables controllable editing of 3D assets with natural language.

Temporal sentence grounding in videos (TSGV) is a task to retrieve a video segment that semantically corresponds to a query in natural language.

APIBank is a comprehensive benchmark for tool-augmented LLMs, focusing on API calling, retrieving, and planning abilities.

APIBench is a comprehensive benchmark for tool-augmented LLMs, focusing on API calling, retrieving, and planning abilities.

GTA is a benchmark for General Tool Agents, featuring three main aspects: real user queries, real deployed tools, and real multimodal inputs.

The Large Language Model Bias Index (LLMBI) is a pio-neering approach designed to quantify and address biases inherent in large language models (LLMs), such as GPT-4.

RateMyProfessor dataset, a dataset of student-written reviews for professors.

Bias in Bios dataset, a personal biography dataset with information extracted from Wikipedia.

Language Agency Classification (LAC) dataset for training accurate language agency classifiers.

Reference letter dataset generated under the Context-Based Generation (CBG) setting.