Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
English
Size:
100K - 1M
License:
build NFCorpus from mteb/nfcorpus@ec0fa4fe · rteb_open v0.1.0
Browse files- README.md +73 -91
- corpus/test-00000-of-00001.parquet +3 -0
- provenance.json +322 -0
- qrels/dev-00000-of-00001.parquet +3 -0
- qrels/test-00000-of-00001.parquet +3 -0
- {corpus → qrels}/train-00000-of-00001.parquet +2 -2
- queries/dev-00000-of-00001.parquet +3 -0
- queries/test-00000-of-00001.parquet +3 -0
- queries/train-00000-of-00001.parquet +2 -2
README.md
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---
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task_categories:
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- information-retrieval
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- text-retrieval
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tags:
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- beir
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- information-retrieval
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- retrieval
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-
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configs:
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- config_name: corpus
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data_files:
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- split: train
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path:
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- config_name: queries
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data_files:
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- split: train
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path: queries/train-*
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features:
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- name: title
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dtype: string
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- name: text
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dtype: string
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- name: _id
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dtype: string
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splits:
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- name: train
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num_bytes: 5856698
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num_examples: 3633
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download_size: 3178637
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dataset_size: 5856698
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- config_name: queries
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features:
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- name: title
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dtype: string
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- name: text
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dtype: string
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- name: _id
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dtype: string
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splits:
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- name: train
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num_bytes: 141303
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num_examples: 3237
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download_size: 80445
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dataset_size: 141303
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---
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```python
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from datasets import load_dataset
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# Load corpus (split: corpus)
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corpus = load_dataset("Hyukkyu/beir-nfcorpus", "corpus", split="corpus")
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```
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### Queries
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- `queries`: 3,237 examples
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### Corpus
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- `corpus`: 3,633 examples
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##
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If you use this dataset, please cite the original BEIR paper:
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```bibtex
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@article{thakur2021beir,
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title={BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
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author={Thakur, Nandan and Reimers, Nils and Ruckle, Andreas and Srivastava, Abhishek and Gurevych, Iryna},
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journal={arXiv preprint arXiv:2104.08663},
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year={2021}
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}
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```
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---
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pretty_name: BEIR · NFCorpus
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license: cc-by-sa-4.0
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language:
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- en
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multilinguality:
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- monolingual
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task_categories:
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- text-retrieval
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task_ids:
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- document-retrieval
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tags:
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- beir
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- mteb
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- retrieval
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- biomedical
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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: qrels
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data_files:
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- split: test
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path: qrels/test-*.parquet
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- split: train
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path: qrels/train-*.parquet
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- split: dev
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path: qrels/dev-*.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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- split: train
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path: queries/train-*.parquet
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- split: dev
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path: queries/dev-*.parquet
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---
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# NFCorpus — BEIR, unified schema
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A normalised copy of the dataset behind the `mteb` task **`NFCorpus`**, one of the tasks of the [BEIR](https://github.com/beir-cellar/beir) benchmark as `mteb` defines it. Same queries, documents
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and relevance judgements as the benchmark evaluates — reshaped into one strict schema shared by every dataset
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in this collection.
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|---|---|
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| Source | [`mteb/nfcorpus`](https://huggingface.co/datasets/mteb/nfcorpus/tree/ec0fa4fe99da2ff19ca1214b7966684033a58814) @ `ec0fa4fe99da` (the revision pinned in `mteb`) |
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| Domain · languages | biomedical · eng |
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| Queries / documents / qrels (all splits) | 3,237 / 3,633 / 134,294 |
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| Qrels per query | min 1 · mean 38.186 · max 475 |
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| Score values | 1 ×11,758, 2 ×576 |
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| Layout | `queries` · `corpus` · `qrels`, split `test`; `queries`/`qrels` also carry `train`, `dev` — one shared corpus |
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| Splits | `qrels`: train, dev, test · `queries`: train, dev, test |
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| License | `cc-by-sa-4.0` |
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## Schema
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| config | columns | rules |
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|---|---|---|
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| `queries` | `id: string`, `text: string` | ids unique and non-empty; every query has ≥ 1 qrel |
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| `corpus` | `id: string`, `title: string`, `text: string` | `title` is always present (`""` when the source has none) |
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| `qrels` | `query-id: string`, `corpus-id: string`, `score: int32` | referential integrity to both tables; no duplicate pairs; no floats |
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Files are Parquet, sorted by id, zstd-compressed, sharded at 500 MB. Every rule above is enforced by a validator
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before publishing; `provenance.json` records the source file hashes, what changed, and the output file hashes.
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## What changed from the source
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- `dev`: dropped 2,913 queries that have no qrels in this split (mteb does the same at load time)
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- `test`: dropped 2,914 queries that have no qrels in this split (mteb does the same at load time)
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- `train`: dropped 647 queries that have no qrels in this split (mteb does the same at load time)
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- cast `qrels.score` double -> int32
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- kept 40 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
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- renamed `_id` → `id`
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- renamed source splits (`queries`←`queries/queries`, `corpus`←`corpus/corpus`) to `test`
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## Load it
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```python
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from datasets import load_dataset
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queries = load_dataset("Hyukkyu/beir-nfcorpus", "queries", split="test")
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corpus = load_dataset("Hyukkyu/beir-nfcorpus", "corpus", split="test")
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qrels = load_dataset("Hyukkyu/beir-nfcorpus", "qrels", split="test")
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```
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## Cross-check against the previous layout
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This repo previously held the same dataset in BEIR's raw two-repo form (`Hyukkyu/beir-nfcorpus` + `Hyukkyu/beir-nfcorpus-qrels`; that layout is kept under the git tag `legacy-layout`). Before replacing it, the build was compared against it: corpus id set **identical** (3,633 documents); qrels rows per split `test` 12,334 = 12,334, `train` 110,575 = 110,575, `dev` 11,385 = 11,385.
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## License and attribution
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The data is redistributed under the source's terms — `cc-by-sa-4.0`. All credit belongs to the
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original authors; see the source repository and the references in `mteb`'s task metadata (https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/).
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This repository is an independent repackaging and is not affiliated with the RTEB or MTEB maintainers.
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> **License discrepancy.** The upstream dataset card declares `cc-by-sa-4.0` while `mteb`'s `TaskMetadata` declares `not specified`. This card carries the upstream value as the more conservative choice.
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corpus/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:456c749b15ca4c6baaba5d5e3499f62cc87db34707db786146fc092fbb465830
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size 2159038
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provenance.json
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