devvrit/polaris_filtered_nemotron_easy_math_verifiable
Polaris-Filtered Nemotron Easy Math (Verifiable) A filtered subset of nvidia/Nemotron-Math-v2 (low / easy split), retaining only non-TIR samples with verifiable boxed answers. Filtering Pipeline Remove TIR / tool-use samples — drop any sample that contains Python code blocks (\``python, <|python_start|>, ) or has a non-empty tools/tool` field. Polaris decontamination — remove samples whose user prompt shares any 15-gram overlap with problems in… See the full description on the dataset page: https://huggingface.co/datasets/devvrit/polaris_filtered_nemotron_easy_math_verifiable.
Polaris-Filtered Nemotron Easy Math (Verifiable)
A filtered subset of nvidia/Nemotron-Math-v2 (low / easy split), retaining only non-TIR samples with verifiable boxed answers.
Filtering Pipeline
- Remove TIR / tool-use samples — drop any sample that contains Python code blocks (
\\\python,<|pythonstart|>`, `<toolcall>) or has a non-emptytools/tool` field. - Polaris decontamination — remove samples whose user prompt shares any 15-gram overlap with problems in POLARIS-Project/Polaris-Dataset-53K.
- Answer verification — keep only samples where the
\boxed{}answer in the assistant response matches theexpected_answerfield (verified via math-verify).
Dataset Statistics
Token counts measured with [`Qwen/Qwen2.5-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) (full conversation including reasoning + content).
Sequence Length Distribution
Usage
from datasets import load_dataset
ds = load_dataset("devvrit/polaris_filtered_nemotron_easy_math_verifiable", split="train")Source
- Base dataset: nvidia/Nemotron-Math-v2 —
data/low.jsonl - Decontamination reference: POLARIS-Project/Polaris-Dataset-53K
