README.md

metadata

library_name: transformers
license: odc-by
datasets:
  - tceron/wildseek-5categories
language:
  - en
metrics:
  - f1
base_model:
  - answerdotai/ModernBERT-large
pipeline_tag: text-classification

Model Card for Model ID

This classifier has been trained with ModernBERT large. It classifies user interactions with LLMs into 5 categories:

0: "information seeking",
1: "content creation",
2: "coding",
3: "not english",
4: "no request"

Model Details

All details in paper:

@inproceedings{ceron2026wildseek,
  title     = {WildSEEK: Evaluating Language Models for Information-Seeking},
  author    = {Ceron, Tanise and Baumann, Joachim and Bassignana, Elisa and Cabuk, Berat and Hovy, Dirk and Nozza, Debora},
  booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
  year      = {2026}
}

Other classifiers from this study are:

• tceron/high-risk-classifier — Other, Economic and Financial, Health, Politics, Judicial and Legal, Moral Values and Religion, Security
• tceron/open-endedness-classifier — Analytical, Factoid