Mirror ddb0d25 from github.com/open-reaction-database/ord-data
Browse files
README.md
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@@ -166,3 +166,58 @@ maintainer PRs that touch dataset files but should *not* be re-processed
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this way — e.g., format conversions or mass migrations of already-finalized
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data — apply the `skip-update-submission` label to the PR. The validation
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side of the workflow still runs.
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this way — e.g., format conversions or mass migrations of already-finalized
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data — apply the `skip-update-submission` label to the PR. The validation
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side of the workflow still runs.
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### Converting datasets to Parquet
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Datasets are stored as `.pb.gz`; most also have a Parquet sibling. New
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submissions arrive as `.pb.gz` only, so their Parquet versions are backfilled
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with [`scripts/convert_to_parquet.py`](scripts/convert_to_parquet.py). The
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script globs every `data/**/*.pb.gz`, merges the known de-shard groups (the
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`uspto-grants-YYYY_MM` monthly buckets and the `C8SC04228D` shards) into single
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outputs, converts everything else 1:1 (carrying the existing `dataset_id`), and
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skips any output that already exists — so it is safe to re-run and writes only
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what is missing.
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It needs `ord_schema` at the pinned `ORD_SCHEMA_TAG` (see the workflows) and
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Python ≥3.11. Because it reads every `.pb.gz` to classify by name, pull the
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inputs first:
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```bash
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uv venv --python 3.11 && source .venv/bin/activate # or: python -m venv .venv
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pip install "ord-schema==0.6.3" # match ORD_SCHEMA_TAG
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git lfs pull --include="data/**/*.pb.gz" # the converter reads pb.gz content
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python scripts/convert_to_parquet.py --dry-run # preview what it will write
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python scripts/convert_to_parquet.py # write the Parquet siblings
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```
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Commit the new `.parquet` files (they become LFS objects), push them (see
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[Pushing new LFS objects](#pushing-new-lfs-objects)), and open the PR with the
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`skip-update-submission` label. Validation runs against the full dataset on
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merge to `main`.
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### Pushing new LFS objects
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[`.lfsconfig`](.lfsconfig) routes LFS **reads** to the Hugging Face mirror and
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deliberately sets no `pushurl`, so a plain push would try to upload new objects
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to HF — which you cannot write. Point LFS uploads at GitHub for the push, and
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make sure git can authenticate to `github.com` over **HTTPS** for the LFS API
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(the LFS endpoint is HTTPS even when your `git` remote is SSH). The simplest
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auth is the GitHub CLI:
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```bash
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git config lfs.pushurl https://github.com/open-reaction-database/ord-data.git/info/lfs
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gh auth setup-git # let git use your gh token for github.com over HTTPS
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git push -u origin <branch>
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```
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Or, as a one-off without persisting any config:
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```bash
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git -c lfs.pushurl=https://github.com/open-reaction-database/ord-data.git/info/lfs \
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-c 'credential.https://github.com.helper=!gh auth git-credential' \
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push -u origin <branch>
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```
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Reads stay on the mirror; only your uploads go to GitHub. On merge to `main`,
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`huggingface_mirror.yml` copies the new objects to Hugging Face.
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data/1e/ord_dataset-1ec2807f02fa4beda27d2a81b86eb843.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1fd81bb3034644117b7d07e0471ede7370597bb4bd2433dd4b5c20bf02fad99
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size 99755
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data/80/ord_dataset-805ad863feef48579d95d86a728035f4.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:31b7c4762145e5dad973050373cd967bdd85caf3a9858767c83a17fed6c4af36
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size 5088296
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data/c7/ord_dataset-c703268ea43a4c7e802c6048b6166b34.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:159472bff84a548cb2def33ae92ff36c27139271372e38e70bba8eea152760d3
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size 16939
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data/dc/ord_dataset-dc0249930af34d17a3c76881a762aebf.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:baaa0748a4a561705df275c3152a67ef52605a33249f674129f24c1abecfb2b9
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size 20160
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