Dataset · Hugging Face

0G-AI/MS-MARCO-0G-120M

Name: MS-MARCO-0G-120M
Creator: 0G-AI
License: mit
Keywords: task_categories:question-answering, task_categories:text-retrieval, language:en, license:mit, size_categories:1M<n<10M, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, retrieval-augmented-generation, long-context

MS-MARCO-0G-120M A long-context retrieval and question-answering benchmark with 1,143,371 documents and a repaired 192-question default evaluation (128 + 64), including 12 questions about 0G. The original 10,000-question construction pool (including 50 0G questions) is also retained. It extends the ms_100M bank from MSA-RAG-BENCHMARKS with 20 million additional text tokens and 655 new questions grounded in the added documents. 120M is the benchmark's nominal size. The actual… See the full description on the dataset page: https://huggingface.co/datasets/0G-AI/MS-MARCO-0G-120M.

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Author / organization	0G-AI
License (as declared)	mit
Downloads	138 (as reported by Hugging Face)
Likes	0
Created	18 September 2026
Last updated at source	20 September 2026

retrieval-augmented-generationlong-contextmsmarco0gbenchmark

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