rel-stack: user engagement (Classification)

This docs example now matches the current local runner: it materializes the official rel-stack tables through the relbench library and then builds the GraphReduce user-engagement frame from those CSVs.

from pathlib import Path
from relbench_dataset_utils import materialize_relbench_dataset

materialized = materialize_relbench_dataset(
    "rel-stack",
    Path("tests/data/relbench/rel-stack"),
    {
        "users": "Users.csv",
        "posts": "Posts.csv",
        "badges": "Badges.csv",
        "postHistory": "PostHistory.csv",
        "postLinks": "PostLinks.csv",
        "votes": "Votes.csv",
        "comments": "Comments.csv",
    },
)
print(materialized)

Current implementation:

• examples/relbench_user_engagement_local_runner.py

Interactive Runner

Save API URL Run rel-stack user engagement

Idle