QuangDuy/mmarco-vi-hard-negatives

Vietnamese mMARCO Hard Negatives

This dataset is a Vietnamese triplet dataset for dense retrieval training. It combines Vietnamese text from unicamp-dl/mmarco with hard-negative passage ids from sentence-transformers/msmarco-hard-negatives.

Available Configs

config	rows	neg source	sampling	rank window
default	532,743	bm25	1 per positive	10-50
bm25_rank10_50_2neg_1m	1,000,000	bm25	2 per positive	10-50
bm25_rank1_10_1m	1,000,000	bm25	2 per positive	1-10

Repository

• Hub repo: QuangDuy/mmarco-vi-hard-negatives
• splits: train
• configs: 3

Columns

• query: Vietnamese query text
• positive: Vietnamese positive passage text
• negative: Vietnamese hard-negative passage text
• qid: original MSMARCO query id
• pos_pid: original MSMARCO positive passage id
• neg_pid: original MSMARCO negative passage id
• neg_source: source retriever used to mine the hard negative
• neg_rank: 1-based rank of the selected negative inside the upstream candidate list

How It Was Built

1. Stream the upstream hard-negative metadata and choose deterministic negatives from the configured retriever pool.
2. Collect only the Vietnamese query ids and passage ids needed for the selected triplets.
3. Stream the Vietnamese mMARCO query and collection files and extract the required text.
4. Join ids back into text triplets and write Parquet shards for Hub-native loading.

Usage

from datasets import load_dataset

dataset = load_dataset("QuangDuy/mmarco-vi-hard-negatives")
print(dataset["train"][0])

dataset = load_dataset("QuangDuy/mmarco-vi-hard-negatives", "bm25_rank10_50_2neg_1m")
print(dataset["train"][0])

dataset = load_dataset("QuangDuy/mmarco-vi-hard-negatives", "bm25_rank1_10_1m")
print(dataset["train"][0])

Provenance

• Vietnamese text source: unicamp-dl/mmarco
• Hard-negative ids source: sentence-transformers/msmarco-hard-negatives

This repository republishes derived triplets. Please review the upstream dataset cards and licenses before using the data in production or redistribution-sensitive settings.

Build Statistics

default

• rows: 532,743
• parquet shards: 22
• negative source: bm25
• negatives per positive: 1
• preferred rank window: 10 to 50
• seed: 42
• selected metadata rows: 532,743
• extracted queries: 502,931
• extracted passages: 941,468
• build seconds: 1,702.56

bm25_rank10_50_2neg_1m

• rows: 1,000,000
• parquet shards: 40
• negative source: bm25
• negatives per positive: 2
• preferred rank window: 10 to 50
• seed: 42
• selected metadata rows: 1,000,000
• extracted queries: 471,977
• extracted passages: 1,232,544
• build seconds: 1,569.63

bm25_rank1_10_1m

• rows: 1,000,000
• parquet shards: 40
• negative source: bm25
• negatives per positive: 2
• preferred rank window: 1 to 10
• seed: 42
• selected metadata rows: 1,000,000
• extracted queries: 471,977
• extracted passages: 1,210,442
• build seconds: 2,551.79

Citation

If you use this dataset, please cite the upstream sources:

@article{DBLP:journals/corr/abs-2108-13897,
  author       = {Luiz Bonifacio and
                  Israel Campiotti and
                  Roberto de Alencar Lotufo and
                  Rodrigo Frassetto Nogueira},
  title        = {mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset},
  journal      = {CoRR},
  volume       = {abs/2108.13897},
  year         = {2021},
  url          = {https://arxiv.org/abs/2108.13897}
}