Hyukkyu/beir-quora

QuoraRetrieval — BEIR, unified schema

A normalised copy of the dataset behind the mteb task QuoraRetrieval, one of the tasks of the BEIR benchmark as mteb defines it. Same queries, documents and relevance judgements as the benchmark evaluates — reshaped into one strict schema shared by every dataset in this collection.

Source	mteb/quora @ e4e08e0b7dbe (the revision pinned in mteb)
Domain · languages	duplicate-question · eng
Queries / documents / qrels (all splits)	15,000 / 522,931 / 23,301
Qrels per query	min 1 · mean 1.567 · max 75
Score values	1 ×15,675
Layout	queries · corpus · qrels, split test; queries/qrels also carry dev — one shared corpus
Splits	qrels: dev, test · queries: dev, test
License	cc-by-sa-4.0

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, newline, or control-character normalisation
• dev: dropped 10,000 queries that have no qrels in this split (mteb does the same at load time)
• test: dropped 5,000 queries that have no qrels in this split (mteb does the same at load time)
• cast qrels.score double -> int32
• kept 568 documents whose text is identical to another document's — a property of the source; note that models embed such documents identically and retrieval ties among them are broken by corpus order
• renamed _id → id
• renamed source splits (queries←queries/queries, corpus←corpus/corpus) to test

Load it

from datasets import load_dataset
queries = load_dataset("Hyukkyu/beir-quora", "queries", split="test")
corpus  = load_dataset("Hyukkyu/beir-quora", "corpus", split="test")
qrels   = load_dataset("Hyukkyu/beir-quora", "qrels", split="test")

Cross-check against the previous layout

This repo previously held the same dataset in BEIR's raw two-repo form (Hyukkyu/beir-quora + Hyukkyu/beir-quora-qrels; that layout is kept under the git tag legacy-layout). Before replacing it, the build was compared against it: corpus id set identical (522,931 documents); qrels rows per split test 15,675 = 15,675, dev 7,626 = 7,626.

License and attribution

The data is redistributed under the source's terms — cc-by-sa-4.0. All credit belongs to the original authors; see the source repository and the references in mteb's task metadata. This repository is an independent repackaging and is not affiliated with the RTEB or MTEB maintainers.

License discrepancy. The upstream dataset card declares cc-by-sa-4.0 while mteb's TaskMetadata declares None. This card carries the upstream value as the more conservative choice.