SwingBenchRetrieval / README.md
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Add SwingBench retrieval dataset (MTEB format)
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---
pretty_name: SwingBench Retrieval
task_categories:
- text-retrieval
tags:
- mteb
- rteb
- code-retrieval
- agentic-coding
configs:
- config_name: corpus
data_files:
- split: test
path: corpus/test-*.parquet
- config_name: queries
data_files:
- split: test
path: queries/test-*.parquet
- config_name: default
data_files:
- split: test
path: qrels/test-*.parquet
- config_name: top_ranked
data_files:
- split: test
path: top_ranked/test-*.parquet
---
# SwingBench Retrieval
Retrieval-formatted version of [SwingBench](https://huggingface.co/datasets/SwingBench/SwingBench), prepared for the RTEB code
retrieval benchmark in [MTEB](https://github.com/embeddings-benchmark/mteb).
Each query is a coding task (a GitHub issue). Its candidate documents are the files of
the corresponding repository snapshot; the relevant documents are the files that the
reference solution modifies.
| | Count |
|---|---:|
| Queries | 452 |
| Documents | 1,676,644 |
| Qrels | 2,040 |
## Format
Standard MTEB retrieval layout, loadable with MTEB's default `AbsTaskRetrieval` loader:
- `corpus`: `id`, `text`. The id is `<example_id>/<repository-relative file path>`,
the text is the file content.
- `queries`: `id`, `text`.
- `default` (qrels): `query-id`, `corpus-id`, `score`.
- `top_ranked`: `query-id`, `corpus-ids`. Every example has its own repository
snapshot, so each query is evaluated only against the documents of its own example
(the full list of that example's files, not a pre-ranked subset).
All configs have a single `test` split.
## Source and license
Derived from [SwingBench](https://huggingface.co/datasets/SwingBench/SwingBench) via `MongoDB/rteb-public-agentic-coding`.
The upstream dataset and the included repositories retain their original licenses
and attribution.