data-contamination
Chinese-DeepSeek-R1-Distill-data-110k-contamination-report
Contamination Report — Congliu/Chinese-DeepSeek-R1-Distill-data-110k
What this is
A row-level audit of Congliu/Chinese-DeepSeek-R1-Distill-data-110k (revision
8520b649430617c2be4490f424d251d09d835ed3) for exact 13-gram overlap with standard benchmark test sets
(gsm8k, hellaswag, humaneval, mmlu). This is not a filtered copy of the source — it's a new
artifact: a list of which rows overlap which benchmark, plus summary statistics, so anyone
training on the source… See the full description on the dataset page: https://huggingface.co/datasets/liodon-ai/Chinese-DeepSeek-R1-Distill-data-110k-contamination-report.openshape-contamination-axes-data
OpenShape Benchmark Contamination Artifacts (BMVC 2026, Anonymous Release)
Released anonymously for BMVC 2026 double-blind review.
Authorship and provenance will be revealed on acceptance.
This release accompanies a BMVC 2026 submission analyzing benchmark
contamination in 3D representation learning. It contains the training
prune masks, training/eval configs, eval-time per-step metrics, training
logs, NN-proxy predictions, and the best-LVIS checkpoint for the
counterfactual… See the full description on the dataset page: https://huggingface.co/datasets/pkhw2023/openshape-contamination-axes-data.water-contamination-dataDataContaminationExpai-5node-data-buf-lag-cpl-data-contamination-v0.1
What this repo does
This dataset models data contamination cascades in AI training and deployment pipelines. It detects when contamination pressure, weakened validation buffer, governance lag in audits and quarantine actions, and tight coupling through shared stores and pipelines cross the five-node cascade threshold into an unrecoverable data contamination cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-data-buf-lag-cpl-data-contamination-v0.1.