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: 924685.308369815
num_examples: 50
download_size: 465674
dataset_size: 924685.308369815
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
task_categories:
- text-ranking
This dataset is used in the paper Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval. It contains query-passage pairs, including positive and negative passages, used for training robust retrieval and reranker models. The dataset was created by identifying and relabeling hard negatives in existing retrieval datasets using cascading LLM prompts.