| --- |
| pretty_name: HVMap Dataset |
| language: |
| - en |
| license: other |
| task_categories: |
| - text-retrieval |
| - text-ranking |
| tags: |
| - hvmap |
| - beir |
| - mteb |
| - text-retrieval |
| - text-ranking |
| - qrels |
| - federated-retrieval |
| - heterogeneous-vectordb |
| - vector-search |
| - cross-domain-retrieval |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: all |
| data_files: |
| - split: corpus |
| path: |
| - data/corpus/fiqa.jsonl |
| - data/corpus/bioasq.jsonl |
| - data/corpus/scidocs.jsonl |
| - data/corpus/scifact.jsonl |
| - split: queries |
| path: data/queries/queries.jsonl |
| - split: qrels |
| path: data/qrels/qrels.jsonl |
| - config_name: corpus |
| data_files: |
| - split: corpus |
| path: data/corpus/*.jsonl |
| - config_name: finance |
| data_files: |
| - split: corpus |
| path: data/corpus/fiqa.jsonl |
| - config_name: biomedical |
| data_files: |
| - split: corpus |
| path: data/corpus/bioasq.jsonl |
| - config_name: science |
| data_files: |
| - split: corpus |
| path: |
| - data/corpus/scidocs.jsonl |
| - data/corpus/scifact.jsonl |
| - config_name: queries |
| data_files: |
| - split: queries |
| path: data/queries/queries.jsonl |
| - config_name: qrels |
| data_files: |
| - split: qrels |
| path: data/qrels/qrels.jsonl |
| - config_name: fin_bio |
| data_files: |
| - split: corpus |
| path: |
| - data/corpus/fiqa.jsonl |
| - data/corpus/bioasq.jsonl |
| - split: queries |
| path: data/queries/fin_bio.jsonl |
| - split: qrels |
| path: data/qrels/fin_bio.jsonl |
| - config_name: bio_sci |
| data_files: |
| - split: corpus |
| path: |
| - data/corpus/bioasq.jsonl |
| - data/corpus/scidocs.jsonl |
| - data/corpus/scifact.jsonl |
| - split: queries |
| path: data/queries/bio_sci.jsonl |
| - split: qrels |
| path: data/qrels/bio_sci.jsonl |
| - config_name: fin_sci |
| data_files: |
| - split: corpus |
| path: |
| - data/corpus/fiqa.jsonl |
| - data/corpus/scidocs.jsonl |
| - data/corpus/scifact.jsonl |
| - split: queries |
| path: data/queries/fin_sci.jsonl |
| - split: qrels |
| path: data/qrels/fin_sci.jsonl |
| - config_name: fin_bio_sci |
| data_files: |
| - split: corpus |
| path: |
| - data/corpus/fiqa.jsonl |
| - data/corpus/bioasq.jsonl |
| - data/corpus/scidocs.jsonl |
| - data/corpus/scifact.jsonl |
| - split: queries |
| path: data/queries/fin_bio_sci.jsonl |
| - split: qrels |
| path: data/qrels/fin_bio_sci.jsonl |
| --- |
| |
| # HVMap Dataset |
|
|
| HVMap Dataset is a BEIR/MTEB-style text-retrieval benchmark package for |
| federated vector retrieval across heterogeneous vector databases. It contains |
| the retrieval corpus, mixed-domain queries, and qrels used by the HVMap |
| cross-domain benchmark described in *Federated Vector Retrieval across |
| Heterogeneous VectorDBs*. |
|
|
| ## Repository Layout |
|
|
| | Path | Description | |
| | --- | --- | |
| | `data/corpus/*.jsonl` | Search corpus shards derived from FIQA, BioASQ, SciDocs, and SciFact. | |
| | `data/queries/*.jsonl` | Mixed-domain benchmark queries. `queries.jsonl` is the combined 2,000-query file. | |
| | `data/qrels/*.jsonl` | Qrels in JSONL form. `qrels.jsonl` is the combined qrels file. | |
| | `data/qrels/*.tsv` | BEIR/TREC-style qrels with header `query-id corpus-id score`. | |
| | `metadata/dataset_manifest.json` | Counts, source-corpus metadata, and validation summary. | |
|
|
| ## Corpus |
|
|
| The corpus uses retrieval-standard fields: |
|
|
| | Field | Description | |
| | --- | --- | |
| | `_id` | Corpus document id. IDs are prefixed by domain, for example `fin-`, `bio-`, or `sci-`. | |
| | `title` | Source title, empty when not provided by the upstream corpus. | |
| | `text` | Searchable document text. | |
| | `source_dataset` | Local source dataset name: `fiqa`, `bioasq`, `scidocs`, or `scifact`. | |
| | `domain` | `finance`, `biomedical`, or `science`. | |
|
|
| Corpus size: |
|
|
| | Source dataset | Domain | Documents | |
| | --- | --- | ---: | |
| | `fiqa` | finance | 57,638 | |
| | `bioasq` | biomedical | 40,221 | |
| | `scidocs` | science | 25,657 | |
| | `scifact` | science | 5,183 | |
| | **Total** | | **128,699** | |
|
|
| Upstream metadata fields that are not needed for retrieval are not included in |
| the corpus JSONL; the corpus is normalized to id/title/text plus source/domain |
| fields. |
|
|
| ## Queries and Qrels |
|
|
| The benchmark contains 2,000 mixed-domain queries: |
|
|
| | Dataset alias | Qrels source | Queries | Qrels rows | |
| | --- | --- | ---: | ---: | |
| | `fin_bio` | `fin_bio_qrels.pickle` | 500 | 2,960 | |
| | `bio_sci` | `bio_sci_qrels.pickle` | 500 | 2,786 | |
| | `fin_sci` | `fin_sci_qrels.pickle` | 500 | 2,706 | |
| | `fin_bio_sci` | `fin_bio_sci_qrels.pickle` | 500 | 4,414 | |
| | **Total** | | **2,000** | **12,866** | |
|
|
| The qrels files use binary score values. Each query-document link from the |
| source qrels is represented with `score = 1`. |
|
|
| Qrels JSONL fields: |
|
|
| | Field | Description | |
| | --- | --- | |
| | `qrel_id` | Stable row id in the form `{query_id}:{document_index}`. | |
| | `query_id` | Query id used in this package, such as `fin_bio:0000`. | |
| | `corpus_id` | Corpus document id matching the `_id` field in `data/corpus/*.jsonl`. | |
| | `score` | Binary qrels score. | |
| | `dataset_alias` | Mixed-domain dataset alias. | |
| | `qrels_name` | Source qrels pickle filename. | |
| | `query_index` | Zero-based query index within the source qrels file. | |
| | `document_index` | Zero-based linked-document position within that query. | |
|
|
| ## Loading |
|
|
| Load the full benchmark: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("snu-aidas/HVMap-dataset", "all") |
| corpus = dataset["corpus"] |
| queries = dataset["queries"] |
| qrels = dataset["qrels"] |
| ``` |
|
|
| Load only one mixed-domain benchmark subset: |
|
|
| ```python |
| fin_bio = load_dataset("snu-aidas/HVMap-dataset", "fin_bio") |
| fin_bio_corpus = fin_bio["corpus"] |
| fin_bio_queries = fin_bio["queries"] |
| fin_bio_qrels = fin_bio["qrels"] |
| ``` |
|
|
| Available mixed-domain configs: |
|
|
| - `fin_bio`: finance + biomedical corpus, `fin_bio` queries/qrels |
| - `bio_sci`: biomedical + science corpus, `bio_sci` queries/qrels |
| - `fin_sci`: finance + science corpus, `fin_sci` queries/qrels |
| - `fin_bio_sci`: finance + biomedical + science corpus, `fin_bio_sci` queries/qrels |
|
|
| Load only a domain corpus: |
|
|
| ```python |
| finance = load_dataset("snu-aidas/HVMap-dataset", "finance", split="corpus") |
| biomedical = load_dataset("snu-aidas/HVMap-dataset", "biomedical", split="corpus") |
| science = load_dataset("snu-aidas/HVMap-dataset", "science", split="corpus") |
| ``` |
|
|
| The `science` config reads both `scidocs` and `scifact` corpus shards. The |
| underlying files remain separate in the repository. |
|
|
| Load only combined queries or qrels: |
|
|
| ```python |
| queries = load_dataset("snu-aidas/HVMap-dataset", "queries", split="queries") |
| qrels = load_dataset("snu-aidas/HVMap-dataset", "qrels", split="qrels") |
| ``` |
|
|
| For BEIR-style evaluation, download `data/corpus/*.jsonl`, |
| `data/queries/queries.jsonl`, and `data/qrels/qrels.tsv`. The TSV qrels files |
| use the conventional `query-id`, `corpus-id`, `score` header. |
|
|
| ## Source Data and Licenses |
|
|
| This dataset contains mixed third-party source text. The repository metadata |
| therefore uses `license: other`; users must comply with the applicable upstream |
| licenses and attribution requirements. |
|
|
| | Upstream source | Domain role | License metadata | |
| | --- | --- | --- | |
| | [`BeIR/fiqa`](https://huggingface.co/datasets/BeIR/fiqa) | Financial | `cc-by-sa-4.0` | |
| | [`rag-datasets/rag-mini-bioasq`](https://huggingface.co/datasets/rag-datasets/rag-mini-bioasq) | Biomedical | `cc-by-2.5` | |
| | [`BeIR/scidocs`](https://huggingface.co/datasets/BeIR/scidocs) | Scientific | `cc-by-sa-4.0` | |
| | [`BeIR/scifact`](https://huggingface.co/datasets/BeIR/scifact) | Scientific | `cc-by-sa-4.0` | |
|
|
| The HVMap mixed-domain queries and qrels packaging are project-generated. The |
| embedded source corpus text remains subject to upstream dataset licenses. |
|
|
| ## Validation |
|
|
| ### Cross-Domain Benchmark Validation |
|
|
| Validation consists of a human relevance assessment and two independent |
| LLM-based consistency checks. For the human assessment, 100 queries were |
| randomly sampled from each of the four cross-domain settings, yielding 400 |
| queries and 2,564 associated query-document pairs. Three authors independently |
| judged whether each document was relevant to its corresponding query. |
|
|
| | Validation source | # Queries | # Pairs | Relevant ratio | |
| | --- | ---: | ---: | ---: | |
| | Annotator 1 | 400 | 2,564 | 99.0% | |
| | Annotator 2 | 400 | 2,564 | 98.8% | |
| | Annotator 3 | 400 | 2,564 | 98.3% | |
| | *Mean pairwise agreement: 99.1%; Fleiss’ κ: 0.64* | | | | |
| | Claude Opus 4.8 | 2,000 | 12,866 | 94.5% | |
| | Codex GPT-5.5 | 2,000 | 12,866 | 93.3% | |
|
|
| The human judgments yielded a mean pairwise agreement of 99.1% and a Fleiss’ |
| κ of 0.64; the difference from the raw agreement reflects the highly imbalanced |
| label distribution. As a secondary full-benchmark consistency check, Claude |
| Opus 4.8 (max reasoning effort) and Codex GPT-5.5 (extra-high reasoning effort) independently judged all 12,866 query-document pairs across 2,000 |
| queries. They judged 94.5% and 93.3% of the pairs as relevant, respectively. |
|
|
| ### Corpus and Qrels Integrity |
|
|
| Before packaging, every qrels-linked `corpus_id` was checked against the |
| normalized corpus IDs included in this release. |
|
|
| - Corpus document IDs are unique: 128,699 unique IDs. |
| - All qrels-linked document IDs are present in the corpus. |
| - Missing qrels document count: 0. |
| - Qrels rows: 12,866. |
|
|
|
|
| ## Intended Use |
|
|
| This dataset is intended for research on text retrieval, text ranking, |
| federated vector retrieval, heterogeneous vectorDB federation, cross-domain |
| retrieval, and benchmark construction. |
|
|
| ## Limitations |
|
|
| - The qrels use binary scores. |
| - Some upstream corpus records have empty `text` fields in the local source |
| corpus. These records are retained to preserve corpus id compatibility. |
| - The corpus is normalized for retrieval and omits heavy upstream metadata that |
| is not required for retrieval experiments. |
|
|
| ## Citation |
|
|
| If you use this dataset, cite the HVMap paper and the upstream corpora listed |
| above. A formal BibTeX entry can be added once the HVMap paper metadata is |
| finalized. |
|
|
