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---
license: other
tags:
- csv
configs:
- config_name: cleaned
data_files:
- split: train
path: cleaned.csv
---
# Repair Data (Cleaned Preview)
This dataset publishes the contents of the repair_data folder, with the dataset UI preview focused on cleaned.csv. The cleaned file is produced with
csv_repair.py to standardize types, trim whitespace, harmonize null-like tokens, and optionally split a location column into city and country. City names
can be made country-specific using a real city catalog built from GeoNames.
## Files
- cleaned.csv — primary data file targeted for preview.
- Other helper scripts and reports are included for reproducibility (e.g., csv_repair.py, extract_countries.py, geonames_fetch.py, JSON mappings under
report/).
If cleaned.csv lives in a subfolder, update the front‑matter viewer.default_path to that path (e.g., report/cleaned.csv).
## How It Was Built
- Analysis and cleaning: csv_repair.py (trims strings, standardizes boolean‑like values, parses dates where feasible, detects outliers, suggests column
fixes).
- Location repair (optional): splits location into city and country.
- Real city mode: --location-mode real --cities-json report/cities_by_country.json.
- GeoNames data: geonames_fetch.py builds countries.json, provinces_by_country.json, and cities_by_country.json.
Example command to generate cleaned.csv:
python csv_repair.py \
-i HR_Data_Clean_2020_2025.csv \
-o report \
--cleaned-csv cleaned.csv \
--fix-location \
--location-mode real \
--cities-json report/cities_by_country.json
## Load Examples
- With datasets:
from datasets import load_dataset
ds = load_dataset("savedata101/repair_data", data_files={"train": "cleaned.csv"})
print(ds["train"])
- With pandas (direct URL to main branch):
import pandas as pd
url = "https://huggingface.co/datasets/savedata101/repair_data/resolve/main/cleaned.csv"
df = pd.read_csv(url)
print(df.head())
## Notes
- Preview focuses on cleaned.csv via the dataset card front‑matter.
- If your cleaned file path changes, keep viewer.default_path in sync.
- Large original CSVs may be excluded from preview but remain accessible in the repo.
## License
Data license is set to other as a placeholder. Please update to the appropriate license for your data. |