hak
Datasets
All datasets matching “hak”results
HAKARI-Bench Results
This dataset stores raw benchmark result artifacts generated by HAKARI-Bench.
Raw results: per-task JSON (.xz) result files measured by HAKARI-bench.
Leaderboard: https://huggingface.co/spaces/hakari-bench/leaderboard
GitHub repository: https://github.com/hakari-bench/hakari-bench
Contributing official model results: follow the new model evaluation workflow to evaluate a model and submit results for HAKARI-Bench review:… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/results.leaderboard_database
HAKARI-Bench Leaderboard Database
This dataset hosts the DuckDB database used by the
HAKARI-Bench leaderboard.
It is derived from the raw benchmark result artifacts in
hakari-bench/results
and is packaged for leaderboard, viewer, notebook, and SQL use.
The database is produced by the HAKARI-Bench implementation in
hakari-bench/hakari-bench.
Because the benchmark code, schema, and build workflow evolve over time, this
dataset card intentionally points to the canonical… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/leaderboard_database.NanoMTEB-Scandinavian
NanoMTEB-Scandinavian
This dataset is a Nano-style retrieval dataset for HAKARI-bench.
NanoMTEB-Scandinavian is a compact retrieval benchmark for Scandinavian-language MTEB-style task families. It includes Danish, Norwegian, and Swedish retrieval tasks spanning fact verification, question answering, news, encyclopedic content, FAQ retrieval, and social-media retrieval.
Usage
from datasets import load_dataset
dataset_id = "hakari-bench/NanoMTEB-Scandinavian"
split… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoMTEB-Scandinavian.NanoMTEB-Dutch
NanoMTEB-Dutch
This dataset is a Nano-style retrieval dataset for HAKARI-bench.
NanoMTEB-Dutch is a compact Dutch retrieval benchmark containing the MTEB-NL retrieval-family splits. It combines Dutch BEIR-style tasks, legal and public-domain QA, news, tender, web FAQ, Wikipedia, and cross-lingual Belebele retrieval splits.
Usage
from datasets import load_dataset
dataset_id = "hakari-bench/NanoMTEB-Dutch"
split = "argu_ana_nl"
queries = load_dataset(dataset_id… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoMTEB-Dutch.NanoBRIGHT
NanoBRIGHT
This dataset is a Nano-style retrieval dataset for HAKARI-bench.
NanoBRIGHT contains 20 Nano retrieval splits derived from BRIGHT(v1.1). Each split keeps up to 200 eligible queries and up to 10000 corpus documents, with exact duplicate query and document text removed where the generator records that policy.
Usage
from datasets import load_dataset
dataset_id = "hakari-bench/NanoBRIGHT"
split = "NanoBrightAops"
queries = load_dataset(dataset_id… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoBRIGHT.NanoMMTEB-v2
NanoMMTEB-v2
This dataset is a Nano-style retrieval dataset for HAKARI-bench.
NanoMMTEB-v2 is a compact multilingual and multi-domain retrieval benchmark assembled from MMTEB/MTEB retrieval tasks. It includes legal, QA, long-context, dialogue, social, code/community, and reasoning-oriented retrieval splits in the Nano query-corpus-qrels format.
Usage
from datasets import load_dataset
dataset_id = "hakari-bench/NanoMMTEB-v2"
split = "ailastatutes"
queries =… See the full description on the dataset page: https://huggingface.co/datasets/hakari-bench/NanoMMTEB-v2.