Datasets:
File size: 1,856 Bytes
19a7fc0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | ---
pretty_name: SWE-bench++ 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
---
# SWE-bench++ Retrieval
Retrieval-formatted version of [SWE-bench++](https://huggingface.co/datasets/TuringEnterprises/SWE-Bench-plus-plus), 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 | 494 |
| Documents | 1,529,152 |
| Qrels | 2,157 |
## 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 [SWE-bench++](https://huggingface.co/datasets/TuringEnterprises/SWE-Bench-plus-plus) via `MongoDB/rteb-public-agentic-coding`.
The upstream dataset and the included repositories retain their original licenses
and attribution.
|