Quarry

Quarry is a natural-language-query → code-function retrieval benchmark. Its queries are synthetic behavioral descriptions generated without access to the diff or gold labels. They are not raw issue text, and Quarry is not a patch-localization benchmark.

Version 1.0 contains 6,525 queries and function-level gold over 3,411 tasks at real code revisions in 11 languages: C, C++, C#, Go, Java, JavaScript, PHP, Python, Rust, Scala, and TypeScript. This release merges two disjoint collection tranches into one test split.

Quarry ships labels and repository references, not source code. Users check out the named upstream repositories and revisions, so all referenced code remains under its upstream license.

Load the data

The repository exposes four configurations because the release artifacts have distinct schemas:

from datasets import load_dataset

queries = load_dataset("BrokkAI/Quarry", "queries", split="test")
tasks = load_dataset("BrokkAI/Quarry", "tasks", split="test")
gold = load_dataset("BrokkAI/Quarry", "gold_preimage", split="test")

Join records with (repo, task_id) or (repo, task_id, query_id) as appropriate.

configuration	rows	purpose
queries	6,525	Behavioral query text and retrieval revision
tasks	3,411	Task metadata, language, revision, and associated query IDs
gold_preimage	6,525	Function-level labels at the retrieval revision
gold_postimage	6,525	Companion postimage records retained from collection

The function-level labels in positive_units include repository, revision, path, symbol or fully qualified method name, and line range. positive_chunk_ids is empty in the portable release because chunk IDs are assigned when the corpus is built locally.

Evaluation protocol

The headline metric is strict all-gold micro recall@{5,10,20,50}. For query q at depth k, recall is:

|gold(q) ∩ top_k(q)| / |gold(q)|

The published aggregate is the flat mean over all 6,525 queries. The harness also reports the three-stage query → task → repository → language macro aggregate. Published model rows use each model's native embedding dimension, an 8,192-token context, and the header document shape below.

For a free function:

{path}/{function_name}
{source}

For a class method, the exact swerank_document_text() renderer is:

{path}/{ClassName}/{function_name}
class {ClassName}:{source}

Reproduce the benchmark

The evaluator and its local dependencies are included in this repository. Building the corpus requires local clones plus the Bifrost chunker used by localize_sft_data.py; Bifrost is imported lazily and is not needed merely to inspect the data or evaluator CLI.

1. Clone every repo under a directory using its Quarry name (owner__repository).
2. Build per-repository chunk databases at the exact retrieval revisions:

python harness/build_tranche_db.py \
  --release-dir data \
  --clones-dir /path/to/clones \
  --db-dir /path/to/quarry-db \
  --worktree-tmp-root /path/to/worktrees

3. Create an evaluation release directory and resolve portable unit labels to local chunk IDs:

mkdir -p /path/to/quarry-final
cp data/queries.jsonl data/tasks.jsonl /path/to/quarry-final/
python harness/canonicalize_gold.py \
  --input data/gold-preimage.jsonl \
  --output /path/to/quarry-final/gold-preimage.jsonl \
  --db-dir /path/to/quarry-db

4. Evaluate Muninn at its published 2,048-dimensional setting:

python quarry_eval.py \
  --model BrokkAI/Muninn \
  --model-profile voyage \
  --model-tag muninn-2048 \
  --final-dir /path/to/quarry-final \
  --db-dir /path/to/quarry-db \
  --output-dir /path/to/results/muninn \
  --vector-cache /path/to/vector-cache/muninn \
  --devices cuda:0 \
  --truncate-dim 2048

The Quarry-specific evaluator defaults to --document-shape swerank, --alpha 1.0, and --max-seq-length 8192. For Muninn-small, use --model BrokkAI/Muninn-small, --model-profile granite, a distinct model tag/cache, and omit --truncate-dim.

Results

TODO: Competitive results are being rerun and will be added when the complete comparison is finalized.

Licenses

Quarry's queries and labels are released under CC BY 4.0. Attribute the dataset to BrokkAI and link this repository. Referenced source code is not redistributed and retains the license of each upstream repository.

quarry_eval.py and all Python source under harness/ are released under the Apache License 2.0; see LICENSE-CODE. The CC BY 4.0 dataset license does not apply to those code files.

Checksums, row counts, version, and source-tranche identifiers are recorded in RELEASE_MANIFEST.json.