le723z/DeepRerank

This is reranking dataset built from 179 queris from MSMARCO-V2 passages set.

Below are the data creation process:

# Multiple Random Sampling

import copy
import random
replicate_rank_results = []
replicate_times = 100
for item in combined_rank_results:
    for _ in range(replicate_times):
        new_item = copy.deepcopy(item)
        # Randomly select 20 hits from original hits list
        random_select_index = random.sample(range(len(item['hits'])), min(20, len(item['hits'])))
        random_select_index.sort()
        new_item['hits'] = [new_item['hits'][i] for i in random_select_index]
        replicate_rank_results.append(new_item)
print(len(replicate_rank_results))