Datasets:
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https://huggingface.co/datasets/Hyukkyu/rteb-FreshStackRetrieval/resolve/main/README.md
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pretty_name: RTEB · FreshStackRetrieval
license: mit
language:
- en
multilinguality:
- monolingual
task_categories:
- text-retrieval
task_ids:
- document-retrieval
tags:
- rteb
- mteb
- retrieval
- code
configs:
- config_name: corpus
data_files:
- split: test
path: corpus/test-*.parquet
- config_name: qrels
data_files:
- split: test
path: qrels/test-*.parquet
- config_name: queries
data_files:
- split: test
path: queries/test-*.parquet
FreshStackRetrieval — RTEB open subset, unified schema
A normalised copy of the dataset behind the mteb task FreshStackRetrieval, one of the 17 open tasks in the
RTEB(beta) retrieval benchmark. Same queries, documents and relevance
judgements as the benchmark evaluates — reshaped into one strict schema shared by all 17.
| Source | embedding-benchmark/FreshStack_mteb @ 7a20df1abe4d (the revision pinned in mteb) |
| Domain · languages | code · eng |
| Queries / documents / qrels | 672 / 3,804 / 5,445 |
| Qrels per query | min 1 · mean 8.103 · max 35 |
| Score values | 1 ×5,445 |
| Layout | queries · corpus · qrels, split test |
| License | mit |
Schema
| config | columns | rules |
|---|---|---|
queries |
id: string, text: string |
ids unique and non-empty; every query has ≥ 1 qrel |
corpus |
id: string, title: string, text: string |
title is always present ("" when the source has none) |
qrels |
query-id: string, corpus-id: string, score: int32 |
referential integrity to both tables; no duplicate pairs; no floats |
Files are Parquet, sorted by id, zstd-compressed, sharded at 500 MB. Every rule above is enforced by a validator
before publishing; provenance.json records the source file hashes, what changed, and the output file hashes.
What changed from the source
- byte-preserved all text — no whitespace or newline normalisation (code dataset)
- added a
titlecolumn filled with""(the source has none) - cast
qrels.scoredouble -> int32 - renamed source splits (
queries←queries/queries,corpus←corpus/corpus,qrels←default/test) totest
Load it
from datasets import load_dataset
queries = load_dataset("Hyukkyu/rteb-FreshStackRetrieval", "queries", split="test")
corpus = load_dataset("Hyukkyu/rteb-FreshStackRetrieval", "corpus", split="test")
qrels = load_dataset("Hyukkyu/rteb-FreshStackRetrieval", "qrels", split="test")
License and attribution
The data is redistributed under the source's terms — mit. All credit belongs to the
original authors; see the source repository and the references in mteb's task metadata (https://huggingface.co/datasets/embedding-benchmark/FreshStack_mteb).
This repository is an independent repackaging and is not affiliated with the RTEB or MTEB maintainers.