--- dataset_info: - config_name: batchfile features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2045841 num_examples: 1232 download_size: 1001806 dataset_size: 2045841 - config_name: bitbake features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 1829963 num_examples: 924 download_size: 896539 dataset_size: 1829963 - config_name: c features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 9257649 num_examples: 4415 download_size: 4722635 dataset_size: 9257649 - config_name: clojure features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 5197211 num_examples: 2191 download_size: 2355097 dataset_size: 5197211 - config_name: coffeescript features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 12309704 num_examples: 5116 download_size: 6302961 dataset_size: 12309704 - config_name: cpp features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 4221179 num_examples: 1748 download_size: 2062159 dataset_size: 4221179 - config_name: csharp features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 25876275 num_examples: 8358 download_size: 10794984 dataset_size: 25876275 - config_name: css features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 7347599 num_examples: 4705 download_size: 3329463 dataset_size: 7347599 - config_name: elixir features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2220804 num_examples: 1015 download_size: 1060494 dataset_size: 2220804 - config_name: emacs-lisp features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 1927538 num_examples: 950 download_size: 897645 dataset_size: 1927538 - config_name: go features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 6201672 num_examples: 2925 download_size: 3261068 dataset_size: 6201672 - config_name: groovy features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2265571 num_examples: 832 download_size: 1044728 dataset_size: 2265571 - config_name: haml features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 9185927 num_examples: 4344 download_size: 4510228 dataset_size: 9185927 - config_name: handlebars features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2961527 num_examples: 1389 download_size: 1351557 dataset_size: 2961527 - config_name: haskell features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 3615995 num_examples: 1385 download_size: 1789317 dataset_size: 3615995 - config_name: html features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 41405026 num_examples: 18169 download_size: 19752600 dataset_size: 41405026 - config_name: htmlperb features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 22052913 num_examples: 10438 download_size: 10898322 dataset_size: 22052913 - config_name: ini features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 16530607 num_examples: 10295 download_size: 8002911 dataset_size: 16530607 - config_name: jade features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2362320 num_examples: 1096 download_size: 1123028 dataset_size: 2362320 - config_name: java features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 29512250 num_examples: 9831 download_size: 13118457 dataset_size: 29512250 - config_name: javascript features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 119660227 num_examples: 49310 download_size: 59815431 dataset_size: 119660227 - config_name: json features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 72402143 num_examples: 38023 download_size: 32519532 dataset_size: 72402143 - config_name: jsx features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 5701814 num_examples: 2048 download_size: 2566131 dataset_size: 5701814 - config_name: kotlin features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 4328618 num_examples: 1607 download_size: 1969473 dataset_size: 4328618 - config_name: less features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2397637 num_examples: 1335 download_size: 1060965 dataset_size: 2397637 - config_name: markdown features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 116029791 num_examples: 52258 download_size: 67561822 dataset_size: 116029791 - config_name: nix features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 3612197 num_examples: 1551 download_size: 1848385 dataset_size: 3612197 - config_name: perl features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 3076256 num_examples: 1435 download_size: 1616285 dataset_size: 3076256 - config_name: php features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 44822098 num_examples: 17184 download_size: 20505068 dataset_size: 44822098 - config_name: python features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 96055923 num_examples: 38700 download_size: 47992077 dataset_size: 96055923 - config_name: restructuredtext features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 13900148 num_examples: 5978 download_size: 7406376 dataset_size: 13900148 - config_name: ruby features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 130463663 num_examples: 58154 download_size: 65921990 dataset_size: 130463663 - config_name: rust features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 1224510 num_examples: 533 download_size: 603023 dataset_size: 1224510 - config_name: scala features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 4585699 num_examples: 1963 download_size: 2175939 dataset_size: 4585699 - config_name: scss features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 11992324 num_examples: 6733 download_size: 5456402 dataset_size: 11992324 - config_name: shell features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 41069556 num_examples: 23040 download_size: 22922635 dataset_size: 41069556 - config_name: slim features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2201982 num_examples: 1032 download_size: 1055340 dataset_size: 2201982 - config_name: sql features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2376727 num_examples: 1187 download_size: 1058007 dataset_size: 2376727 - config_name: swift features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 5223410 num_examples: 1870 download_size: 2323842 dataset_size: 5223410 - config_name: text features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 53789856 num_examples: 44266 download_size: 28461696 dataset_size: 53789856 - config_name: toml features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 5261671 num_examples: 3368 download_size: 2432541 dataset_size: 5261671 - config_name: twig features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 3569609 num_examples: 1477 download_size: 1501079 dataset_size: 3569609 - config_name: typescript features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 9139019 num_examples: 3371 download_size: 4344755 dataset_size: 9139019 - config_name: unknown features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 2663593 num_examples: 1445 download_size: 1170410 dataset_size: 2663593 - config_name: viml features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 1827434 num_examples: 1062 download_size: 940828 dataset_size: 1827434 - config_name: xml features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 18438080 num_examples: 7700 download_size: 7544989 dataset_size: 18438080 - config_name: yaml features: - name: instruction dtype: string - name: diff dtype: string - name: before dtype: string - name: after dtype: string - name: commit dtype: string splits: - name: train num_bytes: 163395155 num_examples: 102934 download_size: 85594626 dataset_size: 163395155 configs: - config_name: batchfile data_files: - split: train path: batchfile/train-* - config_name: bitbake data_files: - split: train path: bitbake/train-* - config_name: c data_files: - split: train path: c/train-* - config_name: clojure data_files: - split: train path: clojure/train-* - config_name: coffeescript data_files: - split: train path: coffeescript/train-* - config_name: cpp data_files: - split: train path: cpp/train-* - config_name: csharp data_files: - split: train path: csharp/train-* - config_name: css data_files: - split: train path: css/train-* - config_name: elixir data_files: - split: train path: elixir/train-* - config_name: emacs-lisp data_files: - split: train path: emacs-lisp/train-* - config_name: go data_files: - split: train path: go/train-* - config_name: groovy data_files: - split: train path: groovy/train-* - config_name: haml data_files: - split: train path: haml/train-* - config_name: handlebars data_files: - split: train path: handlebars/train-* - config_name: haskell data_files: - split: train path: haskell/train-* - config_name: html data_files: - split: train path: html/train-* - config_name: htmlperb data_files: - split: train path: htmlperb/train-* - config_name: ini data_files: - split: train path: ini/train-* - config_name: jade data_files: - split: train path: jade/train-* - config_name: java data_files: - split: train path: java/train-* - config_name: javascript data_files: - split: train path: javascript/train-* - config_name: json data_files: - split: train path: json/train-* - config_name: jsx data_files: - split: train path: jsx/train-* - config_name: kotlin data_files: - split: train path: kotlin/train-* - config_name: less data_files: - split: train path: less/train-* - config_name: markdown data_files: - split: train path: markdown/train-* - config_name: nix data_files: - split: train path: nix/train-* - config_name: perl data_files: - split: train path: perl/train-* - config_name: php data_files: - split: train path: php/train-* - config_name: python data_files: - split: train path: python/train-* - config_name: restructuredtext data_files: - split: train path: restructuredtext/train-* - config_name: ruby data_files: - split: train path: ruby/train-* - config_name: rust data_files: - split: train path: rust/train-* - config_name: scala data_files: - split: train path: scala/train-* - config_name: scss data_files: - split: train path: scss/train-* - config_name: shell data_files: - split: train path: shell/train-* - config_name: slim data_files: - split: train path: slim/train-* - config_name: sql data_files: - split: train path: sql/train-* - config_name: swift data_files: - split: train path: swift/train-* - config_name: text data_files: - split: train path: text/train-* - config_name: toml data_files: - split: train path: toml/train-* - config_name: twig data_files: - split: train path: twig/train-* - config_name: typescript data_files: - split: train path: typescript/train-* - config_name: unknown data_files: - split: train path: unknown/train-* - config_name: viml data_files: - split: train path: viml/train-* - config_name: xml data_files: - split: train path: xml/train-* - config_name: yaml data_files: - split: train path: yaml/train-* --- # CodeEditSearchTrain A code-edit retrieval training set, derived from [`bigcode/commitpackft`](https://huggingface.co/datasets/bigcode/commitpackft) and decontaminated against the [`cassanof/CodeEditSearch`](https://huggingface.co/datasets/cassanof/CodeEditSearch) eval. Each example contains an `instruction` (the commit message), a unified `diff`, and the `before`/`after` file contents, plus the source `commit` SHA. ## How the dataset is built We start from `bigcode/commitpackft`, a large collection of code-edit commits across many programming languages, and keep every language with at least 1,000 commits — 47 languages in total. For each commit we keep the message as the natural-language instruction, render a short unified diff between the file before and after the change, and store the full file contents on both sides. Commits that don't have both a before and an after file, or that have an empty message, are discarded. The harder problem is making sure none of the kept commits leak into the [`cassanof/CodeEditSearch`](https://huggingface.co/datasets/cassanof/CodeEditSearch) evaluation set. We apply three filters, each catching something the previous one would miss: 1. **Same commit.** If a commit's SHA already appears in the eval, we drop it, because same git commit means same code change. 2. **Same text after normalization.** Two commits can describe the same change with different SHAs (cherry-picks, rebases, mirrored repos). We lowercase, normalize Unicode and collapse whitespace, then hash every text field with xxHash-64 and compare against the same hashes computed over the eval. Anything that collides is dropped. 3. **Near-duplicate text.** Even after normalization, paraphrased or partially edited versions slip through. We extract every 13-word sequence from each field and compute what fraction of them also appear in the eval (containment). If any field crosses 50% overlap, the commit is dropped. Steps 2 and 3 follow the decontamination methodology described in our [English models blog post](https://huggingface.co/blog/lightonai/denseon-lateon) ("Decontaminated BEIR" section) and our [multilingual models blog post](https://huggingface.co/blog/lightonai/mdenseon-mlateon). The eval only covers 13 languages, but the contamination index pools everything from those 13 into one big set, and we check every commit in all 47 source languages against it, so a Python snippet that also appears verbatim in a YAML commit message would still be caught. **End result:** 678,295 source commits → 599,698 with both file contents → 578,203 after dropping shared SHAs → 573,593 after the exact-text filter → **560,922 kept** after the near-duplicate filter. Per-language numbers are in the report below. ## Generation code
Python code to build and decontaminate the dataset ```python """ Build a code-edit retrieval training set from `bigcode/commitpackft`, deduped against `cassanof/CodeEditSearch` via (A) commit-SHA exclusion, (B) normalized xxHash-64, and (C) 13-gram containment. """ from __future__ import annotations import argparse import difflib import json import logging import os import re import sys import unicodedata import urllib.request from pathlib import Path import xxhash from datasets import load_dataset, Dataset from dotenv import load_dotenv from tqdm import tqdm logger = logging.getLogger(__name__) # 13 languages covered by the cassanof/CodeEditSearch eval: EVAL_LANGUAGES = [ "c", "c++", "go", "java", "javascript", "php", "python", "ruby", "rust", "scala", "shell", "swift", "typescript", ] SHUFFLE_SEED = 42 EVAL_DATASET = "cassanof/CodeEditSearch" SOURCE_DATASET = "bigcode/commitpackft" SIZE_API = "https://datasets-server.huggingface.co/size?dataset={dataset}" REPORT_DIR = Path(__file__).resolve().parent / "output" WHITESPACE_RE = re.compile(r"\s+") def discover_languages(dataset: str, min_rows: int) -> list[str]: """Fetch all configs from HF datasets-server with at least `min_rows` rows.""" url = SIZE_API.format(dataset=dataset) with urllib.request.urlopen(url) as resp: data = json.load(resp) configs = data["size"]["configs"] kept = [c["config"] for c in configs if c["num_rows"] >= min_rows] logger.info( "discovered %d/%d configs in %s with >= %d rows", len(kept), len(configs), dataset, min_rows, ) return sorted(kept) def collect_eval_shas(languages: list[str]) -> set[str]: """Pool every commit SHA appearing in the eval dataset across the given languages.""" shas: set[str] = set() for lang in languages: try: ds = load_dataset(EVAL_DATASET, lang, split="train") except Exception as e: logger.warning("could not load eval for lang=%s: %s", lang, e) continue for row in ds: sha = row.get("commit") if sha: shas.add(sha) logger.info("collected %d eval commit SHAs across %d languages", len(shas), len(languages)) return shas def has_nonempty_contents(row: dict) -> bool: """True if both `old_contents` and `new_contents` are present and non-empty.""" return bool(row.get("old_contents")) and bool(row.get("new_contents")) def build_unified_diff(old: str, new: str, old_file: str = "a", new_file: str = "b") -> str: """Render a unified diff (3 lines of context) between two file contents.""" return "".join(difflib.unified_diff( old.splitlines(keepends=True), new.splitlines(keepends=True), fromfile=old_file, tofile=new_file, n=3, )) def normalize(text: str) -> str: """NFKD-fold, lowercase, and collapse whitespace runs to single spaces.""" text = unicodedata.normalize("NFKD", text).lower() return WHITESPACE_RE.sub(" ", text).strip() def hash64(text: str) -> int: """64-bit xxh64 of text bytes.""" return xxhash.xxh64(text.encode("utf-8", errors="replace")).intdigest() def word_ngrams(text: str, n: int = 13) -> set[str]: """Set of contiguous n-word phrases from whitespace-split text.""" words = text.split() if len(words) < n: return set() return {" ".join(words[i:i + n]) for i in range(len(words) - n + 1)} def field_hash(text: str) -> int | None: """Normalized hash of one field; None if the field is empty after normalization.""" norm = normalize(text or "") if not norm: return None return hash64(norm) def build_eval_overlap_index(languages: list[str], n: int = 13) -> tuple[set[int], set[str]]: """Index per-field normalized hashes and pooled per-field n-grams across all eval rows.""" field_hashes: set[int] = set() ngram_set: set[str] = set() logger.info("building per-field contamination index over eval rows...") total = 0 for lang in languages: try: ds = load_dataset(EVAL_DATASET, lang, split="train") except Exception: raise RuntimeError(f"failed to load eval dataset for lang={lang}; check that EVAL_LANGUAGES is correct and that the dataset is accessible") for row in tqdm(ds, desc=f"overlap-index[{lang}]"): fields = ( (row.get("instruction") or "").strip(), row.get("diff") or "", row.get("before") or "", row.get("after") or "", ) if not any(fields): continue for f in fields: h = field_hash(f) if h is not None: field_hashes.add(h) ngram_set.update(word_ngrams(normalize(f), n=n)) total += 1 logger.info( "indexed %d eval rows: %d field-hashes, %d %d-grams", total, len(field_hashes), len(ngram_set), n, ) return field_hashes, ngram_set def contamination_reason( instruction: str, diff: str, old_contents: str, new_contents: str, eval_field_hashes: set[int], eval_ngrams: set[str], n: int = 13, threshold: float = 0.5, ) -> str: """Return "hash"/"ngram" if any of the 4 fields matches eval, else "" (clean).""" fields = (instruction, diff, old_contents, new_contents) for f in fields: h = field_hash(f) if h is not None and h in eval_field_hashes: return "hash" for f in fields: sample_ngrams = word_ngrams(normalize(f), n=n) if not sample_ngrams: continue if len(sample_ngrams & eval_ngrams) / len(sample_ngrams) >= threshold: return "ngram" return "" def build_language( lang: str, eval_shas: set[str], eval_field_hashes: set[int], eval_ngrams: set[str], output_repo: str, max_per_lang: int | None, ngram_n: int = 13, overlap_threshold: float = 0.5, ) -> dict: """Filter one language of the source dataset against the eval, push to the Hub, and return its funnel.""" logger.info("lang=%s loading source from %s", lang, SOURCE_DATASET) ds = load_dataset( "json", data_files=f"hf://datasets/{SOURCE_DATASET}/data/{lang}/data.jsonl", split="train", ) source_rows = len(ds) ds = ds.shuffle(seed=SHUFFLE_SEED) ds = ds.filter(has_nonempty_contents) passed_nonempty = len(ds) logger.info( "lang=%s %d rows have both old+new contents (from %d)", lang, passed_nonempty, source_rows, ) kept_rows: list[dict] = [] passed_sha = passed_msg = passed_hash = passed_ngram = 0 for row in tqdm(ds, desc=f"filter[{lang}]"): if row.get("commit") in eval_shas: continue passed_sha += 1 instruction = (row.get("message") or "").strip() if not instruction: continue passed_msg += 1 old_contents = row.get("old_contents") or "" new_contents = row.get("new_contents") or "" diff = build_unified_diff( old_contents, new_contents, old_file=row.get("old_file", "a"), new_file=row.get("new_file", "b"), ) reason = contamination_reason( instruction, diff, old_contents, new_contents, eval_field_hashes, eval_ngrams, n=ngram_n, threshold=overlap_threshold, ) if reason == "hash": continue passed_hash += 1 if reason == "ngram": continue passed_ngram += 1 if max_per_lang and len(kept_rows) >= max_per_lang: continue kept_rows.append({ "instruction": instruction, "diff": diff, "before": old_contents, "after": new_contents, "commit": row.get("commit"), }) logger.info( "lang=%s passed_nonempty=%d passed_sha=%d passed_msg=%d " "passed_hash=%d passed_ngram=%d kept=%d", lang, passed_nonempty, passed_sha, passed_msg, passed_hash, passed_ngram, len(kept_rows), ) config_name = lang.replace("+", "p").replace("#", "sharp") logger.info("lang=%s pushing to %s (config=%s)", lang, output_repo, config_name) Dataset.from_list(kept_rows).push_to_hub( repo_id=output_repo, config_name=config_name, private=True, ) return { "config": config_name, "funnel": { "source_rows": source_rows, "passed_nonempty": passed_nonempty, "passed_sha": passed_sha, "passed_nonempty_msg": passed_msg, "passed_hash": passed_hash, "passed_ngram": passed_ngram, "kept": len(kept_rows), }, } def main(argv: list[str] | None = None) -> int: """CLI entrypoint: build the decontaminated training set for each language and write the run report.""" parser = argparse.ArgumentParser(description="Build CodeEditSearch training set.") parser.add_argument("--output-repo", default="lightonai/CodeEditSearchTrain", help="HF Hub dataset repo to push to") parser.add_argument("--languages", nargs="+", default=None, help="languages to build (default: auto-discover from source via --min-rows)") parser.add_argument("--min-rows", type=int, default=1000, help="when auto-discovering, only include configs with >= this many rows (default: 1000)") parser.add_argument("--max-per-lang", type=int, default=None, help="cap rows per language (default: no cap)") parser.add_argument("--overlap-threshold", type=float, default=0.5, help="13-gram containment threshold (default 0.5)") parser.add_argument("--ngram-n", type=int, default=13, help="n-gram size (default 13)") args = parser.parse_args(argv) logging.basicConfig( level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s: %(message)s", stream=sys.stderr, ) load_dotenv() assert os.environ.get("HF_TOKEN"), "HF_TOKEN not set after load_dotenv(); add it to .env" if args.languages is None: args.languages = discover_languages(SOURCE_DATASET, args.min_rows) logger.info("building %d languages: %s", len(args.languages), args.languages) # The eval (cassanof/CodeEditSearch) only has the 13 EVAL_LANGUAGES configs, # so only query those — intersected with what the user requested. eval_overlap_langs = [l for l in args.languages if l in EVAL_LANGUAGES] eval_shas = collect_eval_shas(eval_overlap_langs) eval_field_hashes, eval_ngrams = build_eval_overlap_index( eval_overlap_langs, n=args.ngram_n, ) report = { "source_dataset": SOURCE_DATASET, "eval_dataset": EVAL_DATASET, "shuffle_seed": SHUFFLE_SEED, "overlap_threshold": args.overlap_threshold, "ngram_n": args.ngram_n, "eval_shas_count": len(eval_shas), "eval_field_hashes_count": len(eval_field_hashes), "eval_ngrams_count": len(eval_ngrams), "languages": [], } for lang in args.languages: report["languages"].append(build_language( lang=lang, eval_shas=eval_shas, eval_field_hashes=eval_field_hashes, eval_ngrams=eval_ngrams, output_repo=args.output_repo, max_per_lang=args.max_per_lang, ngram_n=args.ngram_n, overlap_threshold=args.overlap_threshold, )) totals: dict[str, int] = {} for entry in report["languages"]: for k, v in entry["funnel"].items(): totals[k] = totals.get(k, 0) + v report["totals"] = totals REPORT_DIR.mkdir(parents=True, exist_ok=True) report_path = REPORT_DIR / "report.json" report_path.write_text(json.dumps(report, indent=2)) logger.info("wrote report to %s", report_path) logger.info("totals: %s", json.dumps(totals)) logger.info("pushed to https://huggingface.co/datasets/%s", args.output_repo) return 0 if __name__ == "__main__": sys.exit(main()) ```
## Filtering report
Per-language decontamination funnel ```json { "source_dataset": "bigcode/commitpackft", "eval_dataset": "cassanof/CodeEditSearch", "shuffle_seed": 42, "overlap_threshold": 0.5, "ngram_n": 13, "eval_shas_count": 21495, "eval_field_hashes_count": 84365, "eval_ngrams_count": 2887107, "languages": [ { "config": "batchfile", "funnel": { "source_rows": 1466, "passed_nonempty": 1234, "passed_sha": 1234, "passed_nonempty_msg": 1234, "passed_hash": 1234, "passed_ngram": 1232, "kept": 1232 } }, { "config": "bitbake", "funnel": { "source_rows": 1308, "passed_nonempty": 924, "passed_sha": 924, "passed_nonempty_msg": 924, "passed_hash": 924, "passed_ngram": 924, "kept": 924 } }, { "config": "c", "funnel": { "source_rows": 8506, "passed_nonempty": 6925, "passed_sha": 5335, "passed_nonempty_msg": 5335, "passed_hash": 5027, "passed_ngram": 4415, "kept": 4415 } }, { "config": "csharp", "funnel": { "source_rows": 9346, "passed_nonempty": 8472, "passed_sha": 8472, "passed_nonempty_msg": 8472, "passed_hash": 8467, "passed_ngram": 8358, "kept": 8358 } }, { "config": "cpp", "funnel": { "source_rows": 4992, "passed_nonempty": 3855, "passed_sha": 2165, "passed_nonempty_msg": 2165, "passed_hash": 1967, "passed_ngram": 1748, "kept": 1748 } }, { "config": "clojure", "funnel": { "source_rows": 2403, "passed_nonempty": 2194, "passed_sha": 2194, "passed_nonempty_msg": 2194, "passed_hash": 2191, "passed_ngram": 2191, "kept": 2191 } }, { "config": "coffeescript", "funnel": { "source_rows": 5513, "passed_nonempty": 5131, "passed_sha": 5131, "passed_nonempty_msg": 5131, "passed_hash": 5129, "passed_ngram": 5116, "kept": 5116 } }, { "config": "css", "funnel": { "source_rows": 5049, "passed_nonempty": 4762, "passed_sha": 4762, "passed_nonempty_msg": 4762, "passed_hash": 4762, "passed_ngram": 4705, "kept": 4705 } }, { "config": "elixir", "funnel": { "source_rows": 1150, "passed_nonempty": 1016, "passed_sha": 1016, "passed_nonempty_msg": 1016, "passed_hash": 1015, "passed_ngram": 1015, "kept": 1015 } }, { "config": "emacs-lisp", "funnel": { "source_rows": 1015, "passed_nonempty": 950, "passed_sha": 950, "passed_nonempty_msg": 950, "passed_hash": 950, "passed_ngram": 950, "kept": 950 } }, { "config": "go", "funnel": { "source_rows": 5004, "passed_nonempty": 5001, "passed_sha": 3249, "passed_nonempty_msg": 3249, "passed_hash": 3097, "passed_ngram": 2925, "kept": 2925 } }, { "config": "groovy", "funnel": { "source_rows": 1486, "passed_nonempty": 1026, "passed_sha": 1026, "passed_nonempty_msg": 1026, "passed_hash": 1026, "passed_ngram": 832, "kept": 832 } }, { "config": "haml", "funnel": { "source_rows": 4415, "passed_nonempty": 4346, "passed_sha": 4346, "passed_nonempty_msg": 4346, "passed_hash": 4346, "passed_ngram": 4344, "kept": 4344 } }, { "config": "handlebars", "funnel": { "source_rows": 1429, "passed_nonempty": 1389, "passed_sha": 1389, "passed_nonempty_msg": 1389, "passed_hash": 1389, "passed_ngram": 1389, "kept": 1389 } }, { "config": "haskell", "funnel": { "source_rows": 1389, "passed_nonempty": 1389, "passed_sha": 1389, "passed_nonempty_msg": 1389, "passed_hash": 1388, "passed_ngram": 1385, "kept": 1385 } }, { "config": "html", "funnel": { "source_rows": 20214, "passed_nonempty": 18303, "passed_sha": 18303, "passed_nonempty_msg": 18303, "passed_hash": 18287, "passed_ngram": 18169, "kept": 18169 } }, { "config": "htmlperb", "funnel": { "source_rows": 10910, "passed_nonempty": 10458, "passed_sha": 10458, "passed_nonempty_msg": 10458, "passed_hash": 10456, "passed_ngram": 10438, "kept": 10438 } }, { "config": "ini", "funnel": { "source_rows": 11360, "passed_nonempty": 10626, "passed_sha": 10626, "passed_nonempty_msg": 10626, "passed_hash": 10553, "passed_ngram": 10295, "kept": 10295 } }, { "config": "jade", "funnel": { "source_rows": 1119, "passed_nonempty": 1098, "passed_sha": 1098, "passed_nonempty_msg": 1098, "passed_hash": 1097, "passed_ngram": 1096, "kept": 1096 } }, { "config": "java", "funnel": { "source_rows": 20635, "passed_nonempty": 13579, "passed_sha": 11823, "passed_nonempty_msg": 11823, "passed_hash": 11571, "passed_ngram": 9831, "kept": 9831 } }, { "config": "javascript", "funnel": { "source_rows": 52989, "passed_nonempty": 52235, "passed_sha": 50524, "passed_nonempty_msg": 50524, "passed_hash": 50124, "passed_ngram": 49310, "kept": 49310 } }, { "config": "json", "funnel": { "source_rows": 39777, "passed_nonempty": 38065, "passed_sha": 38065, "passed_nonempty_msg": 38065, "passed_hash": 38025, "passed_ngram": 38023, "kept": 38023 } }, { "config": "jsx", "funnel": { "source_rows": 2199, "passed_nonempty": 2056, "passed_sha": 2056, "passed_nonempty_msg": 2056, "passed_hash": 2056, "passed_ngram": 2048, "kept": 2048 } }, { "config": "kotlin", "funnel": { "source_rows": 2214, "passed_nonempty": 1838, "passed_sha": 1838, "passed_nonempty_msg": 1838, "passed_hash": 1837, "passed_ngram": 1607, "kept": 1607 } }, { "config": "less", "funnel": { "source_rows": 1360, "passed_nonempty": 1340, "passed_sha": 1340, "passed_nonempty_msg": 1340, "passed_hash": 1340, "passed_ngram": 1335, "kept": 1335 } }, { "config": "markdown", "funnel": { "source_rows": 62518, "passed_nonempty": 52850, "passed_sha": 52850, "passed_nonempty_msg": 52850, "passed_hash": 52825, "passed_ngram": 52258, "kept": 52258 } }, { "config": "nix", "funnel": { "source_rows": 1593, "passed_nonempty": 1551, "passed_sha": 1551, "passed_nonempty_msg": 1551, "passed_hash": 1551, "passed_ngram": 1551, "kept": 1551 } }, { "config": "perl", "funnel": { "source_rows": 2288, "passed_nonempty": 1453, "passed_sha": 1453, "passed_nonempty_msg": 1453, "passed_hash": 1451, "passed_ngram": 1435, "kept": 1435 } }, { "config": "php", "funnel": { "source_rows": 24791, "passed_nonempty": 20038, "passed_sha": 18293, "passed_nonempty_msg": 18293, "passed_hash": 17830, "passed_ngram": 17184, "kept": 17184 } }, { "config": "python", "funnel": { "source_rows": 56025, "passed_nonempty": 42537, "passed_sha": 40892, "passed_nonempty_msg": 40892, "passed_hash": 40393, "passed_ngram": 38700, "kept": 38700 } }, { "config": "restructuredtext", "funnel": { "source_rows": 6560, "passed_nonempty": 6011, "passed_sha": 6011, "passed_nonempty_msg": 6011, "passed_hash": 6010, "passed_ngram": 5978, "kept": 5978 } }, { "config": "ruby", "funnel": { "source_rows": 69413, "passed_nonempty": 62121, "passed_sha": 60504, "passed_nonempty_msg": 60504, "passed_hash": 59872, "passed_ngram": 58154, "kept": 58154 } }, { "config": "rust", "funnel": { "source_rows": 2996, "passed_nonempty": 2341, "passed_sha": 646, "passed_nonempty_msg": 646, "passed_hash": 598, "passed_ngram": 533, "kept": 533 } }, { "config": "scala", "funnel": { "source_rows": 5040, "passed_nonempty": 4255, "passed_sha": 2790, "passed_nonempty_msg": 2790, "passed_hash": 2287, "passed_ngram": 1963, "kept": 1963 } }, { "config": "scss", "funnel": { "source_rows": 6829, "passed_nonempty": 6796, "passed_sha": 6796, "passed_nonempty_msg": 6796, "passed_hash": 6796, "passed_ngram": 6733, "kept": 6733 } }, { "config": "shell", "funnel": { "source_rows": 31217, "passed_nonempty": 26026, "passed_sha": 24624, "passed_nonempty_msg": 24624, "passed_hash": 23969, "passed_ngram": 23040, "kept": 23040 } }, { "config": "slim", "funnel": { "source_rows": 1052, "passed_nonempty": 1034, "passed_sha": 1034, "passed_nonempty_msg": 1034, "passed_hash": 1033, "passed_ngram": 1032, "kept": 1032 } }, { "config": "sql", "funnel": { "source_rows": 2069, "passed_nonempty": 1211, "passed_sha": 1211, "passed_nonempty_msg": 1211, "passed_hash": 1206, "passed_ngram": 1187, "kept": 1187 } }, { "config": "swift", "funnel": { "source_rows": 4849, "passed_nonempty": 3955, "passed_sha": 2233, "passed_nonempty_msg": 2233, "passed_hash": 2079, "passed_ngram": 1870, "kept": 1870 } }, { "config": "text", "funnel": { "source_rows": 46588, "passed_nonempty": 44799, "passed_sha": 44799, "passed_nonempty_msg": 44799, "passed_hash": 44797, "passed_ngram": 44266, "kept": 44266 } }, { "config": "toml", "funnel": { "source_rows": 3424, "passed_nonempty": 3380, "passed_sha": 3380, "passed_nonempty_msg": 3380, "passed_hash": 3377, "passed_ngram": 3368, "kept": 3368 } }, { "config": "twig", "funnel": { "source_rows": 1610, "passed_nonempty": 1479, "passed_sha": 1479, "passed_nonempty_msg": 1479, "passed_hash": 1479, "passed_ngram": 1477, "kept": 1477 } }, { "config": "typescript", "funnel": { "source_rows": 5868, "passed_nonempty": 5328, "passed_sha": 3623, "passed_nonempty_msg": 3623, "passed_hash": 3488, "passed_ngram": 3371, "kept": 3371 } }, { "config": "unknown", "funnel": { "source_rows": 1597, "passed_nonempty": 1457, "passed_sha": 1457, "passed_nonempty_msg": 1457, "passed_hash": 1457, "passed_ngram": 1445, "kept": 1445 } }, { "config": "viml", "funnel": { "source_rows": 1063, "passed_nonempty": 1063, "passed_sha": 1063, "passed_nonempty_msg": 1063, "passed_hash": 1062, "passed_ngram": 1062, "kept": 1062 } }, { "config": "xml", "funnel": { "source_rows": 9337, "passed_nonempty": 8113, "passed_sha": 8113, "passed_nonempty_msg": 8113, "passed_hash": 8109, "passed_ngram": 7700, "kept": 7700 } }, { "config": "yaml", "funnel": { "source_rows": 114320, "passed_nonempty": 103688, "passed_sha": 103688, "passed_nonempty_msg": 103688, "passed_hash": 103666, "passed_ngram": 102934, "kept": 102934 } } ], "totals": { "source_rows": 678295, "passed_nonempty": 599698, "passed_sha": 578203, "passed_nonempty_msg": 578203, "passed_hash": 573593, "passed_ngram": 560922, "kept": 560922 } } ```
## Licensing This dataset is derived from `bigcode/commitpackft` and we keep all of the original licenses of the source data. ## Citation If you use this dataset, please consider citing our work ```bibtex @misc{sourty2026denseonlateonfullyopen, title = {DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search}, author = {Raphaël Sourty and Antoine Chaffin and Paulo Roberto Moura Junior and Amélie Chatelain}, year = {2026}, eprint = {2607.27178}, archivePrefix = {arXiv}, primaryClass = {cs.CL}, url = {https://arxiv.org/abs/2607.27178}, } ```