---
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:

```python
from datasets import load_dataset

dataset = load_dataset("bangzhao/express-emotion-recognition")