Datasets:

hakari-bench
/

NanoRuMTEB

configs:
  - config_name: corpus
    data_files:
      - split: miracl_ru
        path: corpus/miracl_ru-00000-of-00001.parquet
      - split: ria_news
        path: corpus/ria_news-00000-of-00001.parquet
      - split: ru_bq
        path: corpus/ru_bq-00000-of-00001.parquet
  - config_name: queries
    data_files:
      - split: miracl_ru
        path: queries/miracl_ru-00000-of-00001.parquet
      - split: ria_news
        path: queries/ria_news-00000-of-00001.parquet
      - split: ru_bq
        path: queries/ru_bq-00000-of-00001.parquet
    default: true
  - config_name: qrels
    data_files:
      - split: miracl_ru
        path: qrels/miracl_ru-00000-of-00001.parquet
      - split: ria_news
        path: qrels/ria_news-00000-of-00001.parquet
      - split: ru_bq
        path: qrels/ru_bq-00000-of-00001.parquet
  - config_name: bm25
    data_files:
      - split: miracl_ru
        path: bm25/miracl_ru-00000-of-00001.parquet
      - split: ria_news
        path: bm25/ria_news-00000-of-00001.parquet
      - split: ru_bq
        path: bm25/ru_bq-00000-of-00001.parquet
tags:
  - information-retrieval
  - retrieval
  - nano
  - bm25
  - hakari-bench

NanoRuMTEB

This is a private regenerated Nano-style retrieval dataset for HAKARI-Bench.

Source Links

Data Layout

The dataset uses four Hugging Face Datasets configs: corpus, queries, qrels, and bm25. Each config contains the same Hub split names. Hub split names replace unsupported characters in the original Nano split names with underscores; the original split names are listed below and stored in metadata/{hub_split}.json.

Split Mapping

Hub split	Original Nano split	Source task	Source dataset	Queries	Corpus	Qrels
miracl_ru	miracl-ru	MIRACLRetrievalHardNegatives.v2	mteb/MIRACLRetrievalHardNegatives	200	10000	579
ria_news	ria-news	RiaNewsRetrievalHardNegatives.v2	mteb/RiaNewsRetrieval_test_top_250_only_w_correct-v2	200	10000	200
ru_bq	ru-bq	RuBQRetrieval	ai-forever/rubq-retrieval	200	10000	334

License

NanoRuMTEB is a derived dataset. Users must comply with the licenses, terms, and attribution requirements of the upstream MTEB task sources and their original datasets.