facebookresearch / ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Summary
      |
|||
| Main Code: 89,390 LOC (1089 files) = PY (92%) + JSX (3%) + CSS (2%) + JS (<1%) + HTML (<1%) + YAML (<1%) + YML (<1%) + JSONL (<1%) + TOML (<1%) Secondary code: Test: 178,926 LOC (706); Generated: 8,332 LOC (1); Build & Deploy: 473 LOC (13); Other: 7,754 LOC (227); |
|||
| Duplication: 15% | |||
| File Size: 8% long (>1000 LOC), 38% short (<= 200 LOC) | |||
| Unit Size: 6% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 5% complex (McCabe index > 50), 60% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (37 components) | ||
|
|
4 years, 9 months old
|
||
|
|
13% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
52 files |
|||
Latest commit date: 2022-01-21
|
24
commits
(30 days)
10
contributors
(30 days) |
|