metadata
dataset_info:
features:
- name: query_id
dtype: string
- name: query
dtype: string
- name: positive_passages
list:
- name: docid
dtype: string
- name: text
dtype: string
- name: title
dtype: string
- name: negative_passages
list:
- name: docid
dtype: string
- name: text
dtype: string
- name: title
dtype: string
- name: subset
dtype: string
splits:
- name: train
num_bytes: 8315811474
num_examples: 403499
download_size: 4880318827
dataset_size: 8315811474
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-ranking
This dataset contains data used in the paper Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval. The dataset was created to improve the robustness of information retrieval models by identifying and relabeling false negatives.