README.md

---
license: cc-by-nc-4.0
configs:
  - config_name: human_annotated
    data_files:
      - split: train
        path: human_annotated/train_final.csv
      - split: validation
        path: human_annotated/val_final.csv
      - split: test
        path: human_annotated/test_final.csv

  - config_name: machine_labeled
    data_files:
      - split: train
        path: machine_labeled/machine_labeled_mapped.csv
dataset_info:
- config_name: human_annotated
  features:
  - name: index
    dtype: int64
  - name: text
    dtype: string
  - name: Toxicity
    dtype: string
  - name: Target
    dtype: string
  - name: Toxic Span
    dtype: string
  
- config_name: machine_labeled
  features:
  - name: text
    dtype: string
  - name: prob_non_toxic
    dtype: float64
  - name: prob_toxic
    dtype: float64
  - name: spanBert_span_preds
    dtype: string
  - name: Bert_target_pred
    dtype: string
  - name: Bert_higher_target_pred
    dtype: string
---

# Dataset Card for TRuST

### Dataset Summary
This dataset is for toxicity detection, that covers hate speech, offensive language, profanity etc. It merges existing dataset, reannotate and unify to have toxicity, target social group and toxic span labels.

### Languages
All text is written in English.

### Citation Information
To Appear at ACL2026
- **Paper:** https://arxiv.org/abs/2506.02326
- **Point of Contact:** [Berk Atil](atilberk98@gmail.com)

````@misc{atil2026justliketrust,
      title={Something Just Like TRuST : Toxicity Recognition of Span and Target}, 
      author={Berk Atil and Namrata Sureddy and Rebecca J. Passonneau},
      year={2026},
      eprint={2506.02326},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.02326}, 
}
````