Auto-fetch dataset in income_distribution_us example#332
Open
vahid-ahmadi wants to merge 1 commit intomainfrom
Open
Auto-fetch dataset in income_distribution_us example#332vahid-ahmadi wants to merge 1 commit intomainfrom
vahid-ahmadi wants to merge 1 commit intomainfrom
Conversation
Fixes #329 Match the pattern used by the other examples (e.g. us_budgetary_impact.py) by calling ensure_datasets() to download and cache the enhanced CPS dataset from HuggingFace on first run, instead of failing with FileNotFoundError and asking the user to run create_datasets() manually. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Fixes #329
Summary
examples/income_distribution_us.pypreviously required the user to runcreate_datasets()separately and raisedFileNotFoundErrorif the local file was missing.load_representative_data()with theensure_datasets(...)pattern used by the other examples (e.g.us_budgetary_impact.py), so the dataset is downloaded from HuggingFace on first run and cached under./data.Test plan
python examples/income_distribution_us.pyfrom a clean checkout downloads the dataset and runs through to the visualisation step.🤖 Generated with Claude Code