README.md

metadata

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

Model Card for Model ID

This classifier classifier information seeking queries into 7 categories for high-risk sensitive queries.

Labels:

0: "Other",
1: "Economic and Financial",
2: "Health",
3: "Politics",
4: "Judicial and Legal",
5: "Moral Values and Religion",
6: "Security",

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/info-seek-classifier — information seeking, content creation, coding, not english, no request
• tceron/open-endedness-classifier — Analytical, Factoid