Verified claim · AI-ML · 92% confidence
GSM8K introduced in paper: Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021).
Last verified 2026-05-31 · Methodology veritas-v0.1 · dc1ccb567aff584d
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Structured fields
- Subject
- GSM8K
- Predicate
introduced_in_paper- Object
- Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021)
- Confidence
- 92%
- Tags
- gsm8k · benchmark · dataset · math · word-problems · reasoning · openai · cobbe · 2021
Sources (3)
[1] preprint · arXiv (Cobbe, Kosaraju, Bavarian, Chen, Jun, Kaiser, Plappert, Tworek, Hilton, Nakano, Hesse, Schulman — OpenAI) · 2021-10-27
Training Verifiers to Solve Math Word Problems“we introduce GSM8K, a dataset of 8.5K high quality linguistically diverse grade school math word problems.”
[2] github release · OpenAI · 2021-10-27
GSM8K dataset repository (grade-school-math)OpenAI is rated by SourceScore — see its reliability →[3] model card · Hugging Face
GSM8K dataset cardHugging Face is rated by SourceScore — see its reliability →
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GSM8K introduced in paper: Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021). — SourceScore Claim dc1ccb567aff584d (verified 2026-05-31). https://sourcescore.org/api/v1/claims/dc1ccb567aff584d.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 (Cobbe, Kosaraju, Bavarian, Chen, Jun, Kaiser, Plappert, Tworek, Hilton, Nakano, Hesse, Schulman — OpenAI), OpenAI, Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/dc1ccb567aff584d.json includes an HMAC-SHA256 signature for audit verification.
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// "GSM8K introduced in paper: Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021)."Python
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# "GSM8K introduced in paper: Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_gsm8k_fact() -> dict:
"""Fetch the verified SourceScore claim for GSM8K."""
r = httpx.get("https://sourcescore.org/api/v1/claims/dc1ccb567aff584d.json")
return r.json()