38 datasets found

This dataset comprises adjective-noun phrases with color terms.

This data repository contains the key datasets required to reproduce the paper "Scrambled text: training Language Models to correct OCR errors using synthetic data". In addition...

In the current state-of-the art distributionalsemantics model of the meaning of noun-noun compounds (such aschainsaw, but-terfly, home phone),CAOSS(Marelli...

Es handelt sich um einen natural language processing (NLP) Trainingsdatensatz. Modelle, die auf diesen Daten trainiert werden, sollen Behauptungen klassifizieren können, die...

Anonymized models from the expert and lay-user studies conducted in the project Evidence. Each model was train for 50-60 iterations on a specific word class (adjective, verb,...

A dataset of aligned scientific paper revisions manually labeled according to their action and intent, and supplemented with the respective peer reviews and human-written edit...

LLaMA-2 13B Model checkpoints for the paper Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

LLaMA-2 13B-Chat Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

LLaMA-2 7B Model checkpoints for the paper Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Raw responses from the models, clean answers, post-processed predictions and evaluation results for each model and dataset using in the publication Fine-Tuning with Divergent...

This work proposes a novel method to generate C-Tests; a deviated form of cloze tests (a gap filling exercise) where only the last part of a word is turned into a gap. In...

Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parse Abstract (Opitz and Frank, 2019): Semantic proto-role...

This data set contains all annotated topic word tables from the work "NLP in Diagnostic Texts from Nephropathology", as well as all pre-processed and tf-idf-vectorized text...

WikiEvents is a knowledge graph based dataset for NLP and event-related machine learning tasks. This dataset includes RDF data in JSON-LD about events between January 2020 and...

This is the resource for the dataset and models released as a part of our EMNLP 2023 paper "Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals"

The humanities meet computer science to create new synergies using computer vision and natural language processing. Aim & Scope Historians are increasingly using...

The humanities meet computer science to create new synergies using computer vision and natural language processing.   Aim & Scope Historians are increasingly using...

Annotation studies often require annotators to familiarize themselves with the task, its annotation scheme, and the data domain. This can be overwhelming in the beginning,...