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Grades 9-11 Russian Math Olympiad Performance Metrics

Education & Learning Analytics

Tags and Keywords

Mathematics

Olympiad

Russia

Education

Results

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Grades 9-11 Russian Math Olympiad Performance Metrics Dataset on Opendatabay data marketplace

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About

Analysing the performance of Russia's brightest young mathematicians provides deep insights into the competitive landscape of high-level secondary education. The All-Russian Mathematics Olympiad represents the pinnacle of mathematical challenges for students in grades 9 through 11, requiring participants to navigate through school, municipal, and regional qualifying rounds to reach the final stage. These records document over a decade of final-stage results, capturing the scores and statuses of contestants as they tackle complex problems over a gruelling two-day period.

Columns

  • Participant's index: A unique numerical identifier assigned to each contestant in the record.
  • grade: The school level of the participant, typically ranging from 9 to 11.
  • year: The specific year the olympiad was held, spanning from 2009 to 2019.
  • points: The total score achieved by the contestant across all eight problems.
  • p1 to p8: The individual scores for each of the eight problems presented during the two-day competition, with each problem worth a maximum of 7 points.
  • status: The award category achieved by the participant, such as winner (Gold medal), prize-winner (Silver or Bronze medal), honourable mention, or participant.
  • region: The standardised geographic area of Russia represented by the student.
  • school: The specific educational institution the participant attends.

Distribution

The information is delivered in a single CSV file titled results.csv, which is approximately 808.83 kB in size. It contains 3,467 valid records, ensuring high integrity with no missing or mismatched entries across the columns. This is a static archive, and future updates are not expected.

Usage

This resource is ideal for educational researchers looking to track the evolution of mathematical proficiency and problem difficulty over time. It is well-suited for building predictive models to identify factors that lead to winning status or for performing regional performance comparisons within Russia. Additionally, the data can be used to analyse the specific difficulty curves of problems 1 through 8 across different years to see which questions proved most challenging.

Coverage

The geographic scope covers all regions of Russia, with names converted to a standardised form. Temporally, the data spans an eleven-year period from 2009 to 2019. The demographic focus is on high school students in grades 9, 10, and 11, including gifted younger students who opted to compete at the grade 9 level.

License

CC0: Public Domain

Who Can Use It

Academic researchers and sociologists can leverage these records to study the distribution of mathematical talent across various Russian territories. Data science students may utilise the scores and status columns to practice multi-class classification and exploratory data analysis. Furthermore, educators and olympiad coaches can explore the historical results to benchmark current student performance against previous award-winning cohorts.

Dataset Name Suggestions

  • All-Russian Mathematics Olympiad Final Results 2009–2019
  • Russian High School Math Excellence: A Decade of Competition Data
  • National Mathematics Olympiad Scoring and Status Archive
  • Grades 9-11 Russian Math Olympiad Performance Metrics
  • Historical Scores of the All-Russian Mathematics Olympiad

Attributes

Listing Stats

VIEWS

4

DOWNLOADS

0

LISTED

29/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format