artefactory/abstention-reranking-benchmark
收藏Hugging Face2024-10-02 更新2026-05-10 收录
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https://hf-mirror.com/datasets/artefactory/abstention-reranking-benchmark
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资源简介：
---
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}
}
```
提供机构：
artefactory
