openai / human-eval
File Churn

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

Overview
File Change Frequency Overall
  • There are 2 files with 192 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)
    • 2 files changed 1-5 times (192 lines of code)
0% | 0% | 0% | 0% | 100%
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 2 files with 192 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)
    • 2 files changed by 1 contributor (192 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
py, txt, jsonl, md
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 100%
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
human_eval0% | 0% | 0% | 0% | 100%
data0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 7)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsline
churn
first
contributor
latest
contributor
data.py
in human_eval
35 3 2021-11-30 2021-11-30 1 1 +1 / -1 yichen.x@outlook.com yichen.x@outlook.com
execution.py
in human_eval
157 11 2025-01-17 2025-01-17 1 1 +80 / -58 michelle@openai.com michelle@openai.com
__init__.py
in human_eval
1 -
1 -
6 -
17 2
evaluation.py
in human_eval
72 4
Files With Most Churn (Top 7)
Based on the number of lines added and deleted across all commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsline
churn
first
contributor
latest
contributor
execution.py
in human_eval
157 11 2025-01-17 2025-01-17 1 1 +80 / -58 michelle@openai.com michelle@openai.com
data.py
in human_eval
35 3 2021-11-30 2021-11-30 1 1 +1 / -1 yichen.x@outlook.com yichen.x@outlook.com
__init__.py
in human_eval
1 -
1 -
6 -
17 2
evaluation.py
in human_eval
72 4
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)
# contributorsline
churn
first
contributor
latest
contributor
data.py
in human_eval
35 3 2021-11-30 2021-11-30 1 1 +1 / -1 yichen.x@outlook.com yichen.x@outlook.com
execution.py
in human_eval
157 11 2025-01-17 2025-01-17 1 1 +80 / -58 michelle@openai.com michelle@openai.com
1 -
6 -
__init__.py
in human_eval
1 -
evaluation.py
in human_eval
72 4
17 2
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)
# contributorsline
churn
first
contributor
latest
contributor
evaluation.py
in human_eval
72 4
17 2
6 -
1 -
__init__.py
in human_eval
1 -
execution.py
in human_eval
157 11 2025-01-17 2025-01-17 1 1 +80 / -58 michelle@openai.com michelle@openai.com
data.py
in human_eval
35 3 2021-11-30 2021-11-30 1 1 +1 / -1 yichen.x@outlook.com yichen.x@outlook.com
Correlations

File Size vs. Number of Changes: 2 points

human_eval/execution.py x: 157 lines of code y: 1 # changes human_eval/data.py x: 35 lines of code y: 1 # changes
1.0
# changes
  min: 1.0
  average: 1.0
  25th percentile: 1.0
  median: 1.0
  75th percentile: 1.0
  max: 1.0
0 157.0
lines of code
min: 35.0 | average: 96.0 | 25th percentile: 35.0 | median: 96.0 | 75th percentile: 157.0 | max: 157.0

Number of Contributors vs. Number of Changes: 2 points

human_eval/execution.py x: 1 # contributors y: 1 # changes
1.0
# changes
  min: 1.0
  average: 1.0
  25th percentile: 1.0
  median: 1.0
  75th percentile: 1.0
  max: 1.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Contributors vs. File Size: 2 points

human_eval/execution.py x: 1 # contributors y: 157 lines of code human_eval/data.py x: 1 # contributors y: 35 lines of code
157.0
lines of code
  min: 35.0
  average: 96.0
  25th percentile: 35.0
  median: 96.0
  75th percentile: 157.0
  max: 157.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Changes vs. Line Churn: 4 points

human_eval/execution.py x: 1 # changes y: 138 line churn human_eval/data.py x: 1 # changes y: 2 line churn README.md x: 2 # changes y: 4 line churn LICENSE x: 1 # changes y: 21 line churn
138.0
line churn
  min: 2.0
  average: 41.25
  25th percentile: 2.5
  median: 12.5
  75th percentile: 108.75
  max: 138.0
0 2.0
# changes
min: 1.0 | average: 1.25 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.75 | max: 2.0

Number of Contributors vs. Line Churn: 2 points

human_eval/execution.py x: 1 # contributors y: 138 line churn human_eval/data.py x: 1 # contributors y: 2 line churn
138.0
line churn
  min: 2.0
  average: 70.0
  25th percentile: 2.0
  median: 70.0
  75th percentile: 138.0
  max: 138.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Line Churn: 2 points

human_eval/execution.py x: 157 lines of code y: 138 line churn human_eval/data.py x: 35 lines of code y: 2 line churn
138.0
line churn
  min: 2.0
  average: 70.0
  25th percentile: 2.0
  median: 70.0
  75th percentile: 138.0
  max: 138.0
0 157.0
lines of code
min: 35.0 | average: 96.0 | 25th percentile: 35.0 | median: 96.0 | 75th percentile: 157.0 | max: 157.0