Dataset Viewer
Auto-converted to Parquet Duplicate
question
stringclasses
8 values
urdu_question
stringclasses
8 values
answer
stringclasses
8 values
urdu_answer
stringclasses
8 values
answer_number
int64
5
39
equation_solution
stringclasses
8 values
Question: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?
سوال: راجر کے پاس 5 ٹینس بال تھے۔ اس نے ٹینس بالوں کے 2 مزید ڈبے خریدے، اور ہر ڈبے میں 3 ٹینس بال تھے۔ اب اس کے پاس کل کتنے ٹینس بال ہیں؟
Step-by-Step Answer: Roger started with 5 balls. 2 cans of 3 tennis balls each is 6 tennis balls. 5 + 6 = 11. The answer is 11.
مرحلہ وار جواب: راجر کے پاس شروع میں 5 بال تھے۔ 3 بال والے 2 ڈبے یعنی 6 مزید بال۔ 5 + 6 = 11۔ اس لیے جواب 11 ہے۔
11
5 + 6 = 11.
Question: There were nine computers in the server room. Five more computers were installed each day, from monday to thursday. How many computers are now in the server room?
سوال: سرور روم میں 9 کمپیوٹر تھے۔ پیر سے جمعرات تک ہر دن 5 مزید کمپیوٹر نصب کیے گئے۔ اب سرور روم میں کل کتنے کمپیوٹر ہیں؟
Step-by-Step Answer: There are 4 days from monday to thursday. 5 computers were added each day. That means in total 4 * 5 = 20 computers were added. There were 9 computers in the beginning, so now there are 9 + 20 = 29 computers. The answer is 29.
مرحلہ وار جواب: پیر سے جمعرات تک 4 دن ہوتے ہیں۔ ہر دن 5 کمپیوٹر لگائے گئے، یعنی 4 * 5 = 20 کمپیوٹر۔ شروع میں 9 تھے، تو اب 9 + 20 = 29 کمپیوٹر ہیں۔ جواب 29 ہے۔
29
4 * 5 = 20. 9 + 20 = 29.
Question: Leah had 32 chocolates and her sister had 42. If they ate 35, how many pieces do they have left in total?
سوال: لیا کے پاس 32 چاکلیٹ تھیں اور اس کی بہن کے پاس 42۔ اگر انہوں نے 35 کھا لیں تو اب ان کے پاس کتنی چاکلیٹ بچی ہیں؟
Step-by-Step Answer: Leah had 32 chocolates and Leah’s sister had 42. That means there were originally 32 + 42 = 74 chocolates. 35 have been eaten. So in total they still have 74 - 35 = 39 chocolates. The answer is 39.
مرحلہ وار جواب: لیا کے پاس 32 اور اس کی بہن کے پاس 42 چاکلیٹ تھیں، یعنی مجموعی طور پر 74۔ انہوں نے 35 کھا لیں، اس لیے 74 - 35 = 39 چاکلیٹ بچیں۔ جواب 39 ہے۔
39
32 + 42 = 74. 74 - 35 = 39.
Question: Shawn has five toys. For Christmas, he got two toys each from his mom and dad. How many toys does he have now?
سوال: شان کے پاس 5 کھلونے ہیں۔ کرسمس پر اسے ماں اور باپ دونوں نے 2، 2 کھلونے دیے۔ اب اس کے پاس کتنے کھلونے ہیں؟
Step-by-Step Answer: He has 5 toys. He got 2 from mom, so after that he has 5 + 2 = 7 toys. Then he got 2 more from dad, so in total he has 7 + 2 = 9 toys. The answer is 9.
مرحلہ وار جواب: شروع میں 5 کھلونے تھے۔ ماں نے 2 دیے تو 7 ہو گئے۔ پھر باپ نے 2 مزید دیے تو کل 9 کھلونے ہو گئے۔ جواب 9 ہے۔
9
5 + 2 = 7. 7 + 2 = 9.
Question: Michael had 58 golf balls. On tuesday, he lost 23 golf balls. On wednesday, he lost 2 more. How many golf balls did he have at the end of wednesday?
سوال: مائیکل کے پاس 58 گالف بال تھے۔ منگل کو اس کے 23 گالف بال کھو گئے۔ بدھ کو اس نے مزید 2 گم کر دیے۔ بدھ کے آخر میں اس کے پاس کتنے گالف بال بچے؟
Step-by-Step Answer: Michael started with 58 golf balls and lost 23, so he has 58 - 23 = 35. After he lost 2 more, he has 35 - 2 = 33 balls now. The answer is 33.
مرحلہ وار جواب: مائیکل کے پاس 58 تھے، 23 گم ہوئے تو 35 بچے۔ پھر 2 مزید کھو دیے تو 35 - 2 = 33۔ جواب 33 ہے۔
33
58 - 23 = 35. 35 - 2 = 33.
Question: Olivia has $23. She bought five bagels for $3 each. How much money does she have left?
سوال: اولیویا کے پاس 23 ڈالر تھے۔ اس نے 5 بیگلز خریدے جن کی قیمت فی بیگل 3 ڈالر تھی۔ اس کے پاس اب کتنے پیسے بچے؟
Step-by-Step Answer: 5 bagels for $3 each should cost 5 * 3 = 15 dollars. Olivia had $23 in the beginning, so now she has 23 - 15 = 8 dollars left. The answer is 8.
مرحلہ وار جواب: 5 بیگلز کی قیمت 5 * 3 = 15 ڈالر ہوئی۔ اولیویا کے پاس 23 ڈالر تھے، اس لیے 23 - 15 = 8 ڈالر بچے۔ جواب 8 ہے۔
8
5 * 3 = 15. 23 - 15 = 8.
Question: Jason had 20 lollipops. He gave Denny some lollipops. Now Jason has 12 lollipops. How many lollipops did Jason give to Denny?
سوال: جیسن کے پاس 20 لالی پاپ تھے۔ اس نے کچھ ڈینی کو دے دیے۔ اب جیسن کے پاس 12 لالی پاپ ہیں۔ اس نے ڈینی کو کتنے لالی پاپ دیے؟
Step-by-Step Answer: Jason started with 20 lollipops, but now he only has 12, so he gave Denny 20 - 12 = 8 lollipops. The answer is 8.
مرحلہ وار جواب: جیسن کے پاس 20 تھے اور اب 12 رہ گئے، اس لیے اس نے ڈینی کو 20 - 12 = 8 لالی پاپ دیے۔ جواب 8 ہے۔
8
20 - 12 = 8.
Question: If there are 3 cars in the parking lot and 2 more cars arrive, how many cars are in the parking lot?
سوال: پارکنگ میں 3 گاڑیاں کھڑی ہیں۔ اگر 2 مزید گاڑیاں آ جائیں، تو کل کتنی گاڑیاں ہوں گی؟
Step-by-Step Answer: There are 3 cars in the beginning, 2 more arrive, so now there should be 3 + 2 = 5 cars. The answer is 5.
مرحلہ وار جواب: شروع میں 3 گاڑیاں تھیں، 2 مزید آ گئیں، تو 3 + 2 = 5 گاڑیاں ہو گئیں۔ جواب 5 ہے۔
5
3 + 2 = 5.
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

📘 Dataset Card: mgsm_urdu_cleaned

📝 Dataset Summary

mgsm_urdu_cleaned is a high-quality Urdu translation of the Multilingual Grade School Math (MGSM) benchmark, originally derived from GSM8K. The dataset has been cleaned and refined through native-speaker review, ensuring accurate linguistic quality, natural Urdu phrasing, and faithful preservation of the original mathematical intent. It contains English math word problems, their Urdu translations, Urdu answers, and numerical solutions, enabling consistent evaluation of math reasoning in Urdu. It is designed to evaluate Urdu-capable math reasoning, multilingual chain-of-thought, and cross-lingual generalization for large language models.


📂 Dataset Details

  • Dataset Name: mgsm_urdu_cleaned

  • Publisher: large-traversaal (Traversaal.ai)

  • Modality: Text (English + Urdu)

  • Format: Parquet

  • Total Examples: 258

  • Splits:

    • train: 8
    • test: 250
  • Data Size: ~96.9 KB (auto-converted Parquet)


🧩 Source & Motivation

This dataset is a refined subset of MGSM (built from GSM8K) translated into Urdu using high-quality translation pipelines for evaluating:

  • Mathematical reasoning in Urdu
  • Cross-lingual reasoning (English → Urdu)
  • Step-by-step chain-of-thought in multilingual contexts
  • Performance of Urdu-language LLMs

It fills a major gap in Urdu NLP benchmarking, enabling reliable evaluation of reasoning-heavy tasks.


🔧 Data Fields

Each record contains:

Field Type Description
question string Math word problem in English
urd_question string Urdu translation of the problem
answer string English answer text
urd_answer string Urdu answer text
answer_number int64 Numerical answer
equation_solution string Step-by-step reasoning / equation

These fields allow researchers to evaluate both direct QA and chain-of-thought reasoning quality.


🎯 Intended Use

This dataset is ideal for:

  • Evaluating Urdu LLMs on math reasoning
  • Benchmarking multilingual reasoning models
  • Fine-tuning small models for Urdu chain-of-thought
  • Research on cross-lingual consistency
  • Translation-robust reasoning tasks

It is primarily an evaluation dataset, not a large-scale training set.


Downloads last month
152