Sync Dataset
sync_dataset.py pulls the latest rows from the master Google Sheet, downloads the protocol/SAP PDFs for any new rows, and pushes everything to the Hugging Face dataset at trialdesignbench/source.
What it does
- Downloads the Google Sheet as CSV, converts to Parquet → overwrites
data/tdr.parquet. - Diffs against the previous
tdr.parquetby the#column to find new rows. - For each new row, downloads:
Study Protocol Link→documents/<#>/protocol.pdfProtocol+SAP / SAP Link→documents/<#>/sap.pdf- Skips empty links. Skips files already on disk. Writes a
*.error.txton failure.
- Uploads the updated
tdr.parquetand any new PDFs to Hugging Face.
One-time setup
# 1. Python deps
pip install -U "huggingface_hub[cli]" pandas pyarrow openpyxl
# pandas + pyarrow are required for the Parquet read/write.
# openpyxl is only needed if the source file is an uploaded .xlsx
# (htmlview URL) rather than a native Google Sheet.
# 2. Authenticate to Hugging Face (write token from https://huggingface.co/settings/tokens)
hf auth login
# 3. Make sure the Google Sheet is shared as "Anyone with the link: Viewer"
# Sheet URL: https://docs.google.com/spreadsheets/d/1Vb6U9Jzigtg5hLcn4R_5REW_G84cNVk6
Usage
Run from the source/ directory:
cd /Users/tengjun2/Desktop/clinical/tdb/source
# Preview new rows without changing anything
python3 sync_dataset.py --dry-run
# Download new PDFs and update tdr.parquet locally, but don't upload
python3 sync_dataset.py --no-upload
# Full sync: fetch sheet, download new PDFs, upload to Hugging Face
python3 sync_dataset.py
Output layout
source/
├── data/
│ └── tdr.parquet # latest sheet content (snappy-compressed)
├── documents/
│ └── <row_#>/
│ ├── protocol.pdf
│ ├── sap.pdf
│ ├── protocol.error.txt # only present on download failure
│ └── sap.error.txt
└── sync_dataset.py
Configuration
Edit constants at the top of sync_dataset.py if any of these change:
| Variable | Default | Meaning |
|---|---|---|
SHEET_ID |
1Vb6U9Jzigtg5hLcn4R_5REW_G84cNVk6 |
Google Sheet document ID |
SHEET_GID |
0 |
Sheet tab GID (find it in the sheet URL) |
HF_REPO |
trialdesignbench/source |
Hugging Face dataset repo |
PARQUET_PATH |
data/tdr.parquet |
Local Parquet path |
DOCS_DIR |
documents/ |
PDF output root |
Troubleshooting
"Google Sheet is not publicly shared" — Open the sheet → Share → General access → "Anyone with the link" → Viewer.
A PDF row writes *.error.txt — The source server rejected the request (often HTTP 403 on paywalled publisher links like NEJM). The row stays in tdr.parquet; only the PDF is missing. Re-running won't retry automatically — delete the .error.txt and the partial file, then re-run, if you want to retry.
Upload is slow — Throughput is bounded by your upstream bandwidth. For small incremental syncs (a handful of new files) hf upload is used per file. For > 200 new files the script falls back to hf upload-large-folder which parallelizes and is resumable.
Diff missed a row whose # was reused — The script keys on the # column. If a row's content changed without # changing, it won't be detected as new. Inspect manually in that case.
Notes
- The script only adds new rows. Rows deleted from the sheet are kept in the local Parquet file and on Hugging Face — clean those up by hand if needed.
tdr.parquetis always overwritten with the latest sheet content, so edits in the sheet (typo fixes, etc.) propagate.- PDFs are never re-downloaded if already present. Force a re-download by deleting the file.