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Datasets:
embedding-benchmark
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SWEBenchPlusPlusRetrieval

Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Size:
1M - 10M
Tags:
mteb
rteb
code-retrieval
agentic-coding
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Add SWE-bench++ retrieval dataset (MTEB format)

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  1. README.md +62 -0
  2. corpus/test-00000-of-00194.parquet +3 -0
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README.md ADDED
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+ ---
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+ pretty_name: SWE-bench++ Retrieval
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+ task_categories:
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+ - text-retrieval
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+ tags:
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+ - mteb
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+ - rteb
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+ - code-retrieval
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+ - agentic-coding
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+ configs:
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+ - config_name: corpus
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+ data_files:
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+ - split: test
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+ path: corpus/test-*.parquet
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+ - config_name: queries
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+ data_files:
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+ - split: test
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+ path: queries/test-*.parquet
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+ - config_name: default
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+ data_files:
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+ - split: test
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+ path: qrels/test-*.parquet
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+ - config_name: top_ranked
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+ data_files:
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+ - split: test
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+ path: top_ranked/test-*.parquet
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+ ---
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+
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+ # SWE-bench++ Retrieval
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+
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+ Retrieval-formatted version of [SWE-bench++](https://huggingface.co/datasets/TuringEnterprises/SWE-Bench-plus-plus), prepared for the RTEB code
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+ retrieval benchmark in [MTEB](https://github.com/embeddings-benchmark/mteb).
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+
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+ Each query is a coding task (a GitHub issue). Its candidate documents are the files of
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+ the corresponding repository snapshot; the relevant documents are the files that the
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+ reference solution modifies.
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+
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+ | | Count |
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+ |---|---:|
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+ | Queries | 494 |
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+ | Documents | 1,529,152 |
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+ | Qrels | 2,157 |
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+
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+ ## Format
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+
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+ Standard MTEB retrieval layout, loadable with MTEB's default `AbsTaskRetrieval` loader:
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+
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+ - `corpus`: `id`, `text`. The id is `<example_id>/<repository-relative file path>`,
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+ the text is the file content.
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+ - `queries`: `id`, `text`.
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+ - `default` (qrels): `query-id`, `corpus-id`, `score`.
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+ - `top_ranked`: `query-id`, `corpus-ids`. Every example has its own repository
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+ snapshot, so each query is evaluated only against the documents of its own example
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+ (the full list of that example's files, not a pre-ranked subset).
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+
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+ All configs have a single `test` split.
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+
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+ ## Source and license
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+
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+ Derived from [SWE-bench++](https://huggingface.co/datasets/TuringEnterprises/SWE-Bench-plus-plus) via `MongoDB/rteb-public-agentic-coding`.
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+ The upstream dataset and the included repositories retain their original licenses
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+ and attribution.
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