(debug) wrong source file changed.

README.md

@@ -22,7 +22,7 @@ GoodDocs-v0 is a text dataset scraped from high-quality documentation sources in
 
 ## What's in this repository
 
-- `texts.parquet` — per-file Markdown documents and metadata extracted from documentation trees.
+- `cleaned_texts_on_metadata_only.parquet` — per-file Markdown documents and metadata extracted from documentation trees.
 - `awesome-repos.parquet` — structured links extracted from Awesome lists-of-lists (`name`, `link`, `description`, `source_repo`, optional `stars`).
 - `data_collection_utils/` — utilities to regenerate the dataset:
   - `scrape_gh_docs.py` — main scraper/collector for documentation from GitHub repositories.
@@ -34,7 +34,7 @@ GoodDocs-v0 is a text dataset scraped from high-quality documentation sources in
 
 ## Schema
 
-texts.parquet — one row per Markdown file (see `md_rows` assembly in `main()`):
+cleaned_texts_on_metadata_only.parquet — one row per Markdown file (see `md_rows` assembly in `main()`):
 
 - `owner`, `repo`, `repo_dir`
 - `file_rel_repo` — path relative to the saved repo root
@@ -50,7 +50,7 @@ Load the dataset with pandas:
 
 ```python
 import pandas as pd
-df = pd.read_parquet("texts.parquet")
+df = pd.read_parquet("cleaned_texts_on_metadata_only.parquet")
 print(len(df), "rows")
 print(df.columns.tolist())
 ```
@@ -90,9 +90,9 @@ Configuration (YAML-driven; see `data_collection_utils/scrape_gh_docs_config.yam
 - `workers`, `dry_run`, `quiet`, `no_fetch`
 - `token_file` — GitHub token location (or set `GITHUB_TOKEN` env var)
 - `prefer_sparse`, `prefer_zip`, `only_md`, `min_repo_age_years`
-- `lang_filter`, `min_text_chars` — control language gating in `texts.parquet`
+- `lang_filter`, `min_text_chars` — control language gating in `cleaned_texts_on_metadata_only.parquet`
 
-Output is written to `<outdir>/texts.parquet`.
+Output is written to `<outdir>/cleaned_texts_on_metadata_only.parquet`.
 
 ## Awesome list extraction
 

clean/clean_docs_using_content.py

@@ -26,7 +26,7 @@ if __name__ == "__main__":
     -- Step 1: Filter the base data (filename column is precomputed)
     WITH filtered AS (
         SELECT *
-        FROM 'output/texts.parquet'
+        FROM 'output/cleaned_texts_on_metadata_only.parquet'
         WHERE {conditions_str}
     ),
     -- Step 2: Rank by mtime within each (owner, repo, filename) group to identify latest versions

clean/data_stats.py

@@ -1,8 +1,8 @@
 import duckdb
 
 if __name__ == "__main__":
-    # Set source file: 'texts.parquet' or 'gooddocs.parquet'
-    source_file = "output/texts.parquet"
+    # Set source file: 'cleaned_texts_on_metadata_only.parquet' or 'gooddocs.parquet'
+    source_file = "output/cleaned_texts_on_metadata_only.parquet"
 
     # Query to filter repos with more than 100 docs and fetch their README.md
     query = f"""

data_collection_utils/scrape_gh_docs.py

@@ -25,7 +25,7 @@ Typical usage:
 
 Outputs:
  - Saves files under `<outdir>/<owner>__<repo>/...`.
- - Writes a per-file Parquet to `<outdir>/texts.parquet`.
+ - Writes a per-file Parquet to `<outdir>/cleaned_texts_on_metadata_only.parquet`.
  - Appends repos with <10 .md files to `md-failed.txt`.
 """
 
@@ -1147,7 +1147,7 @@ def main():
 
     # Export texts from DuckDB to Parquet
     texts_parquet_path = (
-        Path(texts_parquet_value) if texts_parquet_value else (outdir / "texts.parquet")
+        Path(texts_parquet_value) if texts_parquet_value else (outdir / "cleaned_texts_on_metadata_only.parquet")
     )
     try:
         texts_parquet_path.parent.mkdir(parents=True, exist_ok=True)