Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
English
Size:
< 1K
License:
File size: 2,976 Bytes
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pretty_name: RTEB · HumanEvalRetrieval
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
---
# HumanEvalRetrieval — RTEB open subset, unified schema
A normalised copy of the dataset behind the `mteb` task **`HumanEvalRetrieval`**, one of the 17 open tasks in the
[RTEB(beta)](https://huggingface.co/blog/rteb) retrieval benchmark. Same queries, documents and relevance
judgements as the benchmark evaluates — reshaped into one strict schema shared by all 17.
| | |
|---|---|
| Source | [`embedding-benchmark/HumanEval`](https://huggingface.co/datasets/embedding-benchmark/HumanEval/tree/ed1f48aca747f10bac146795328e2f03326e7625) @ `ed1f48aca747` (the revision pinned in `mteb`) |
| Domain · languages | code · eng |
| Queries / documents / qrels | 158 / 158 / 158 |
| Qrels per query | min 1 · mean 1.0 · max 1 |
| Score values | 1 ×158 |
| 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 `title` column filled with `""` (the source has none)
- cast `qrels.score` double -> int32
- renamed source splits (`queries`←`queries/queries`, `corpus`←`corpus/corpus`, `qrels`←`default/test`) to `test`
## Load it
```python
from datasets import load_dataset
queries = load_dataset("Hyukkyu/rteb-HumanEvalRetrieval", "queries", split="test")
corpus = load_dataset("Hyukkyu/rteb-HumanEvalRetrieval", "corpus", split="test")
qrels = load_dataset("Hyukkyu/rteb-HumanEvalRetrieval", "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/HumanEval).
This repository is an independent repackaging and is not affiliated with the RTEB or MTEB maintainers.
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