PolyMath

Overview

PolyMath is a multilingual mathematical reasoning benchmark covering 18 languages and 4 difficulty levels with 9,000 high-quality problem samples. It ensures difficulty comprehensiveness, language diversity, and high-quality translation for discriminative multilingual evaluation.

Task Description

• Task Type: Multilingual Mathematical Reasoning

• Input: Math problem in one of 18 languages

• Output: Numerical answer in \boxed{} format

• Domains: Mathematics across multiple difficulty levels and languages

Key Features

• 18 supported languages: en, zh, ar, bn, de, es, fr, id, it, ja, ko, ms, pt, ru, sw, te, th, vi

• 4 difficulty levels: low, medium, high, top

• 9,000 high-quality problems total

• Language-specific instructions for each problem

• High-quality human translations ensuring accuracy

Evaluation Notes

• Default evaluation uses the test split

• Primary metric: Accuracy with numeric comparison

• Additional metric: DW-ACC (Difficulty-Weighted Accuracy)

  • Weights: low=1, medium=2, high=4, top=8

  • Provides balanced scoring across difficulty levels

• Results reported per language and overall

Properties

Property	Value
Benchmark Name	poly_math
Dataset ID	evalscope/PolyMath
Paper	N/A
Tags	Math, MultiLingual, Reasoning
Metrics	acc
Default Shots	0-shot
Evaluation Split	test

Data Statistics

Metric	Value
Total Samples	9,000
Prompt Length (Mean)	342.15 chars
Prompt Length (Min/Max)	52 / 1536 chars

Per-Subset Statistics:

Subset	Samples	Prompt Mean	Prompt Min	Prompt Max
en-low	125	292	142	600
zh-low	125	111.96	63	206
ar-low	125	259.15	138	536
bn-low	125	304.42	160	650
de-low	125	333.42	165	698
es-low	125	315.7	159	643
fr-low	125	331.06	178	634
id-low	125	332.51	175	691
it-low	125	315.19	164	661
ja-low	125	145.06	82	268
ko-low	125	163.17	89	342
ms-low	125	330.82	165	603
pt-low	125	306.37	160	655
ru-low	125	312.67	161	628
sw-low	125	324.54	169	638
te-low	125	311.38	161	575
th-low	125	256.28	124	519
vi-low	125	302.78	159	583
en-medium	125	304.88	107	823
zh-medium	125	182.79	52	503
ar-medium	125	282.52	98	794
bn-medium	125	323.46	110	761
de-medium	125	338.46	113	941
es-medium	125	322.59	120	785
fr-medium	125	330.45	116	766
id-medium	125	328.14	114	852
it-medium	125	315.01	110	772
ja-medium	125	210.79	68	548
ko-medium	125	219.33	64	547
ms-medium	125	314.84	95	829
pt-medium	125	314	111	767
ru-medium	125	334.75	120	828
sw-medium	125	335	110	899
te-medium	125	316.54	102	867
th-medium	125	276.01	84	658
vi-medium	125	307.78	108	820
en-high	125	391.3	120	1434
zh-high	125	212.87	70	1155
ar-high	125	356.49	115	1313
bn-high	125	414.23	132	1464
de-high	125	440.82	138	1483
es-high	125	422.2	134	1469
fr-high	125	428.81	133	1488
id-high	125	437.18	128	1536
it-high	125	408.41	128	1445
ja-high	125	246.59	84	1206
ko-high	125	261.16	98	1195
ms-high	125	412.78	55	1454
pt-high	125	408.39	127	1414
ru-high	125	426.44	144	1476
sw-high	125	438.1	125	1476
te-high	125	405.18	126	1430
th-high	125	351.18	108	1345
vi-high	125	383.09	124	1442
en-top	125	420.59	141	1346
zh-top	125	220.16	73	876
ar-top	125	378.14	136	1238
bn-top	125	443.98	160	1392
de-top	125	470.34	169	1432
es-top	125	456.15	150	1432
fr-top	125	464.7	153	1457
id-top	125	469.23	151	1478
it-top	125	445.74	146	1400
ja-top	125	259.17	85	925
ko-top	125	277.8	89	968
ms-top	125	458.26	144	1521
pt-top	125	444.11	144	1407
ru-top	125	466.7	159	1440
sw-top	125	469.38	147	1452
te-top	125	431.14	147	1323
th-top	125	384.58	137	1154
vi-top	125	423.55	154	1352

Sample Example

Subset: en-low

{
  "input": [
    {
      "id": "8ac6f5ab",
      "content": "Janet’s ducks lay 16 eggs per day. She eats three for breakfast every morning and bakes muffins for her friends every day with four. She sells the remainder at the farmers' market daily for $2 per fresh duck egg. How much in dollars does she make every day at the farmers' market?\nNote: Please put the final answer in the $\\boxed\\{\\}$."
    }
  ],
  "target": "18",
  "id": 0,
  "group_id": 0,
  "metadata": {
    "level": "low",
    "language": "en",
    "index": "0"
  }
}

Prompt Template

Prompt Template:

{question}

Usage

Using CLI

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets poly_math \
    --limit 10  # Remove this line for formal evaluation

Using Python

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['poly_math'],
    dataset_args={
        'poly_math': {
            # subset_list: ['en-low', 'zh-low', 'ar-low']  # optional, evaluate specific subsets
        }
    },
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)