Datasets:
license: apache-2.0
task_categories:
- fill-mask
- text-classification
language:
- en
pretty_name: EXPRESS
tags:
- emotion
- psychology
EXPRESS Dataset
Overview
This is the EXPRESS dataset from the paper: https://arxiv.org/pdf/2509.09593
EXPRESS (EXperiences and PRocessed Emotions in Self-disclosure Stories) is a benchmark dataset for evaluating fine-grained emotion recognition in language models. It contains 33,679 naturally occurring Reddit-based human experiences paired with self-disclosed emotion labels.
EXPRESS uses emotions explicitly disclosed by the original authors as ground-truth labels. The dataset covers 251 fine-grained emotion labels and an average context length of 259 words, enabling evaluation of models’ ability to infer nuanced emotional states from rich real-world contexts.
Each instance masks the self-disclosed emotion word or phrase in the original text using a <mask> token.
Usage
You can load the dataset with:
from datasets import load_dataset
dataset = load_dataset("bangzhao/express-emotion-recognition")