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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.

sourceHugging Facecc-by-4.0updated 7mo agoView on Hugging Face
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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

  1. 1.Remove TIR / tool-use samples — drop any sample that contains Python code blocks (\\\python, <|pythonstart|>`, `<toolcall>) or has a non-empty tools/tool` field.
  2. 2.Polaris decontamination — remove samples whose user prompt shares any 15-gram overlap with problems in POLARIS-Project/Polaris-Dataset-53K.
  3. 3.Answer verification — keep only samples where the \boxed{} answer in the assistant response matches the expected_answer field (verified via math-verify).

Dataset Statistics

MetricValue
Total samples268,631
Min tokens99
Max tokens31,802
Mean tokens1,561.8
Median tokens1,416.0
P25972
P751,975
P902,647
P953,118
P994,186

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

BucketCountPercentage
<2k203,59175.8%
2k-4k61,49422.9%
4k-6k3,2811.2%
6k-8k2290.1%
8k-10k300.0%
10k-12k50.0%
12k-14k00.0%
14k-16k00.0%
16k-18k00.0%
>18k10.0%

Usage

python
from datasets import load_dataset

ds = load_dataset("devvrit/polaris_filtered_nemotron_easy_math_verifiable", split="train")

Source