Verified claim · AI-ML · 92% confidence
MATH dataset introduced in paper: Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021).
Last verified 2026-05-31 · Methodology veritas-v0.1 · 8c1f847ae98570da
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Structured fields
- Subject
- MATH dataset
- Predicate
introduced_in_paper- Object
- Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021)
- Confidence
- 92%
- Tags
- math-dataset · benchmark · dataset · mathematics · competition · reasoning · hendrycks · 2021
Sources (3)
[1] preprint · arXiv (Hendrycks, Burns, Kadavath, Arora, Basart, Tang, Song, Steinhardt) · 2021-03-05
Measuring Mathematical Problem Solving With the MATH Dataset“we introduce MATH, a new dataset of 12,500 challenging competition mathematics problems.”
[2] github release · Dan Hendrycks (hendrycks) · 2021-03-05
MATH dataset repository[3] docs · Hugging Face
MATH dataset paper (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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MATH dataset introduced in paper: Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021). — SourceScore Claim 8c1f847ae98570da (verified 2026-05-31). https://sourcescore.org/api/v1/claims/8c1f847ae98570da.jsonEmbed this claim
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Yes — SourceScore verified this claim with 92% confidence as of 2026-05-31. The verification uses 3 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 3 primary sources: arXiv (Hendrycks, Burns, Kadavath, Arora, Basart, Tang, Song, Steinhardt), Dan Hendrycks (hendrycks), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/8c1f847ae98570da.json includes an HMAC-SHA256 signature for audit verification.
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// "MATH dataset introduced in paper: Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021)."Python
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# "MATH dataset introduced in paper: Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_math_dataset_fact() -> dict:
"""Fetch the verified SourceScore claim for MATH dataset."""
r = httpx.get("https://sourcescore.org/api/v1/claims/8c1f847ae98570da.json")
return r.json()