530 datasets found

Implicit Discourse Relation Recognition (IDRR), which infers discourse relations without the help of explicit connectives, is still a crucial and challenging task for discourse...

The Banking77 dataset is a specialized dataset for intent classification in the banking domain.

The QQP dataset contains more than 400k question pairs.

The Penn Tree Bank dataset is a corpus split into a training, validation and testing set of 929k words, a validation set of 73k words, and a test set of 82k words. The...

A self-recognition test for language models using model-generated security questions.

The dataset used in this study to analyze the self-assessment behavior of Large language models.

The Xl-sum dataset for multilingual abstractive summarization

The Cross-Lingual Ability of Multilingual BERT dataset

The dataset used in this paper for multilingual language models

The dataset used in the paper is a collection of sentence classification tasks, including SST-2, SNLI, and PubMed.

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...