openai / prm800k
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

Overview
File Change Frequency Overall
  • There are 0 files with 0 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 0 files changed 1-5 times (0 lines of code)
0% | 0% | 0% | 0% | 0%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 0 files with 0 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 0 files changed by 2-5 contributors (0 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 0% | 0% | 0%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
jsonl, py, txt, md, json, gitattributes
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 0%
jsonl0% | 0% | 0% | 0% | 0%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
prm800k0% | 0% | 0% | 0% | 0%
ROOT0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 7)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
jsonl
phase1_train.jsonl
in prm800k/data
 3 -
jsonl
phase2_train.jsonl
in prm800k/data
 3 -
jsonl
train.jsonl
in prm800k/math_splits
 3 -
setup.py
in root
 7 -
eval.py
in prm800k/eval
 75 7
math_normalize.py
in prm800k/grading
 106 6
grader.py
in prm800k/grading
 195 15
Files With Most Contributors (Top 7)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
grader.py
in prm800k/grading
 195 15
math_normalize.py
in prm800k/grading
 106 6
eval.py
in prm800k/eval
 75 7
jsonl
train.jsonl
in prm800k/math_splits
 3 -
jsonl
phase2_train.jsonl
in prm800k/data
 3 -
jsonl
phase1_train.jsonl
in prm800k/data
 3 -
setup.py
in root
 7 -
Files With Least Contributors (Top 7)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
grader.py
in prm800k/grading
 195 15
math_normalize.py
in prm800k/grading
 106 6
eval.py
in prm800k/eval
 75 7
setup.py
in root
 7 -
jsonl
train.jsonl
in prm800k/math_splits
 3 -
jsonl
phase2_train.jsonl
in prm800k/data
 3 -
jsonl
phase1_train.jsonl
in prm800k/data
 3 -
Correlations

File Size vs. Number of Changes: 0 points

No data for "lines of code" vs. "# changes".

Number of Contributors vs. Number of Changes: 0 points

No data for "# contributors" vs. "# changes".

Number of Contributors vs. File Size: 0 points

No data for "# contributors" vs. "lines of code".