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| author | Terry Truong <terry06890@gmail.com> | 2023-02-04 22:28:53 +1100 |
|---|---|---|
| committer | Terry Truong <terry06890@gmail.com> | 2023-02-04 22:28:53 +1100 |
| commit | 7bd6631e33b38fca6229ec950d3d902f9e15d003 (patch) | |
| tree | f873319b44df1ce8e088efcb6a27679baffe0a00 /backend/tol_data/README.md | |
| parent | 629b9208503369c3f20ceb59685ef49766344093 (diff) | |
Diffstat (limited to 'backend/tol_data/README.md')
| -rw-r--r-- | backend/tol_data/README.md | 7 |
1 files changed, 0 insertions, 7 deletions
diff --git a/backend/tol_data/README.md b/backend/tol_data/README.md index f1bbf6b..3830b19 100644 --- a/backend/tol_data/README.md +++ b/backend/tol_data/README.md @@ -56,13 +56,6 @@ As a warning, the whole process takes a lot of time and file space. The tree will probably have about 2.6 million nodes. Downloading the images takes several days, and occupies over 200 GB. -## Environment -Some of the scripts use third-party packages: -- `indexed_bzip2`: For parallelised bzip2 processing. -- `requests`: For downloading data. -- `Pillow`: For image processing. -- `mwxml`, `mwparserfromhell`: For parsing Wikipedia dumps. - ## Generate Tree Structure Data 1. Obtain 'tree data files' in otol/, as specified in it's README. 2. Run `gen_otol_data.py`, which creates data.db, and adds the `nodes` and `edges` tables, |