πŸ“Š
Ultradata Math dataset by openbmb
⭐ 37.6
πŸ“Š
Dataset

Ultradata Math

by openbmb openbmb/ultradata-math
Free2AITools Nexus Index
37.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 59
R: Recency 52
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 37.6 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID openbmb/ultradata-math
License Apache-2.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_openbmb_ultradata_math,
  author = {openbmb},
  title = {Ultradata Math Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/openbmb/UltraData-Math}},
  note = {Accessed via Free2AITools.}
}
APA Style
openbmb. (2026). Ultradata Math [Dataset]. Free2AITools. https://huggingface.co/datasets/openbmb/UltraData-Math

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 56
Popularity (P) 59
Recency (R) 52
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Ultradata Math: Authority (A:56), Popularity (P:59), Recency (R:52), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
87,270

🎯 Task Categories

text-generation

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Dataset Specification

UltraData-Math

πŸ€— Dataset | πŸ’» Source Code | πŸ‡¨πŸ‡³ δΈ­ζ–‡ README

UltraData-Math is a large-scale, high-quality mathematical pre-training dataset totaling 290B+ tokens across three progressive tiersβ€”L1 (170.5B tokens web corpus), L2 (33.7B tokens quality-selected), and L3 (88B tokens multi-format refined)β€”designed to systematically enhance mathematical reasoning in LLMs. It has been applied to the mathematical pre-training of the MiniCPM Series models.

It was introduced in the paper Data Science and Technology Towards AGI Part I: Tiered Data Management.

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Social Proof

HuggingFace Hub
87.3KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--openbmb--ultradata-math
slug
openbmb--ultradata-math
source
huggingface
author
openbmb
license
Apache-2.0
tags
task_categories:text-generation, language:en, language:zh, license:apache-2.0, size_categories:100m<n<1b, format:parquet, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, llm, pretraining, math, data-synthesis, data-filtering, high-quality, mathematical-reasoning, size_categories:100b<n<1t, arxiv:2602.09003

πŸ“Š Engagement & Metrics

downloads
87,270
stars
0
forks
0

Data indexed from public sources. Updated daily.