| --- |
| 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](https://arxiv.org/abs/2608.30683): |
| ```bibtex |
| @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 |
