| """Shared configuration for the 1930s anachronism-filter pipeline. | |
| Importable with no side effects (no auth, no network, no prompts). Every stage | |
| script imports this so settings stay in one place. Values can be overridden via | |
| environment variables so the notebook/CLI can tweak a run without editing code. | |
| """ | |
| import os | |
| from pathlib import Path | |
| def _env(name, default): | |
| v = os.environ.get(name) | |
| return v if v not in (None, "") else default | |
| def _env_int(name, default): | |
| v = os.environ.get(name) | |
| try: | |
| return int(v) if v not in (None, "") else default | |
| except ValueError: | |
| return default | |
| # --- Repositories ----------------------------------------------------------- | |
| # SRC_REPO / SRC_PREFIX = where the FILTER (run_filter.py) reads its input. After | |
| # the footer-strip stage this points at the stripped layer: | |
| # SRC_REPO=jbduran/think-dataset-clean-1930s SRC_PREFIX=stripped | |
| SRC_REPO = _env("SRC_REPO", "jbduran/think-dataset-clean") | |
| SRC_PREFIX = _env("SRC_PREFIX", "") # subfolder in SRC_REPO to read shards from ("" = root) | |
| DST_REPO = _env("DST_REPO", "jbduran/think-dataset-clean-1930s") | |
| # --- Footer-strip stage (Stage 0.5) ----------------------------------------- | |
| # Reads the clean corpus, removes footer/boilerplate lines, writes stripped shards | |
| # under STRIP_PREFIX/ in DST_REPO. The filter then reads that stripped layer. | |
| STRIP_SRC_REPO = _env("STRIP_SRC_REPO", "jbduran/think-dataset-clean") | |
| STRIP_PREFIX = _env("STRIP_PREFIX", "stripped") # output subfolder for stripped shards | |
| # Guardrails against over-stripping: | |
| FOOTER_MAX_LINE_CHARS = _env_int("FOOTER_MAX_LINE_CHARS", 200) # only strip short lines, | |
| # unless a footer pattern covers most of the line (see footer_lib). | |
| FOOTER_MAX_DOC_LINE_FRAC = float(_env("FOOTER_MAX_DOC_LINE_FRAC", "0.30")) # if a doc would | |
| # lose more than this fraction of its lines, keep it UNSTRIPPED and flag it. | |
| # --- Cutoff / filter policy ------------------------------------------------- | |
| CUTOFF_YEAR = _env_int("CUTOFF_YEAR", 1930) # anything AFTER this is anachronistic | |
| MIN_BANNED_HITS = _env_int("MIN_BANNED_HITS", 1) # 1 = Hla's rule: one hit scraps the doc | |
| # --- Scan window ------------------------------------------------------------ | |
| # Anachronistic content (modern forewords, footnotes, copyright/ISBN pages, | |
| # digitization boilerplate) sits at the FRONT of a book, occasionally the back -- | |
| # essentially never buried mid-chapter. Scanning a capped head + tail keeps | |
| # per-document cost bounded even for multi-MB OCR books. Set SCAN_CHARS=0 to scan | |
| # the entire document (much slower on big books). | |
| SCAN_CHARS = _env_int("SCAN_CHARS", 300_000) # head window; 0 => whole doc | |
| SCAN_TAIL_CHARS = _env_int("SCAN_TAIL_CHARS", 50_000) # tail window; 0 => none | |
| # --- Output parquet settings (match source so shards stay ~same size) ------- | |
| ROW_GROUP_SIZE = _env_int("ROW_GROUP_SIZE", 64) | |
| COMPRESSION = _env("COMPRESSION", "zstd") | |
| COMPRESSION_LEVEL = _env_int("COMPRESSION_LEVEL", 3) | |
| # --- Run controls ----------------------------------------------------------- | |
| # Process at most this many shards per invocation (0 => all remaining). Handy for | |
| # a first-shard dry run: DRY_RUN_LIMIT=1 python scripts/run_filter.py | |
| DRY_RUN_LIMIT = _env_int("DRY_RUN_LIMIT", 0) | |
| FORCE_REBUILD_LIST = _env("FORCE_REBUILD_LIST", "0") == "1" | |
| # Upload batching. Each HF commit has fixed latency (~40s), which dominates the | |
| # per-shard time. Committing BATCH_SIZE shards' files in ONE commit amortizes that | |
| # across the whole batch -- e.g. 20 shards/commit turns 473 commits into ~24. | |
| # A crash loses only the CURRENT (uncommitted) batch's uploads; those shards are | |
| # simply reprocessed on resume (they were never written to the repo), so resume | |
| # stays correct. Set BATCH_SIZE=1 to commit per shard (the old behavior). | |
| BATCH_SIZE = max(1, _env_int("BATCH_SIZE", 20)) | |
| # --- Local working directories ---------------------------------------------- | |
| WORK_DIR = Path(_env("WORK_DIR", "/content/think_1930s_work")) | |
| SRC_CACHE = WORK_DIR / "source" | |
| OUT_DIR = WORK_DIR / "out" | |
| BANNED_DIR = WORK_DIR / "banned" | |
| STRIP_OUT_DIR = WORK_DIR / "stripped" | |
| def ensure_dirs(): | |
| for d in (SRC_CACHE, OUT_DIR, BANNED_DIR, STRIP_OUT_DIR): | |
| d.mkdir(parents=True, exist_ok=True) | |