---
dataset_info:
  features:
  - name: model_name
    dtype: string
  - name: dataset_path
    dtype: string
  - name: num_docs_pr
    dtype: int64
  - name: random_seed
    dtype: int64
  - name: queries
    sequence: string
  - name: positives
    sequence:
      sequence: string
  - name: negatives
    sequence:
      sequence: string
  - name: scores
    sequence:
      sequence: float64
  - name: targets
    sequence:
      sequence: float64
  splits:
  - name: test
    num_bytes: 2218701030
    num_examples: 132
  download_size: 1121022682
  dataset_size: 2218701030
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---

# Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism

## Dataset

This dataset provides the evaluation benchmark used in the paper "Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism", accepted at TMLR (September 2024).

## Paper

For more details on this work, you can read the full paper [here](https://arxiv.org/pdf/2402.12997).

**Citation:**

```
@article{gisserot2024towards,
  title={Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism},
  author={Gisserot-Boukhlef, Hippolyte and Faysse, Manuel and Malherbe, Emmanuel and Hudelot, C{\'e}line and Colombo, Pierre},
  journal={arXiv preprint arXiv:2402.12997},
  year={2024}
}
```