As of 2026-09-01 (commit 50f626ad0d0e), PolyAI-LDN/conversational-datasets contains 4,274 total lines: 2,965 code, 621 comments, 688 blank, across 29 files in 6 languages (top: Python 87.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving PolyAI-LDN/conversational-datasets to commit 50f626ad0d0e, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
This is a small codebase by counted code lines. Code represents 69.4% of all lines, comments represent 14.5%, and the repository averages 102 code lines per file. Python accounts for 87.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 18 | 3082 | 2580 | 58 | 444 |
| JSON | 2 | 362 | 362 | 0 | 0 |
| Shell | 1 | 33 | 23 | 2 | 8 |
| Jupyter Notebooks | 1 | 0 | 0 | 0 | 0 |
| Markdown | 6 | 713 | 0 | 477 | 236 |
| Plain Text | 1 | 84 | 0 | 84 | 0 |
Top language (Python 87.0%). Generated at .
PolyAI-LDN/conversational-datasets has 4,274 total lines, including 2,965 code lines, 621 comment lines, and 688 blank lines.
OctoCounts resolved the public GitHub repository to commit 50f626ad0d0e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from master at commit 50f626ad0d0e on 2026-09-01T16:56:20.652439571+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: