Commit History

  1. Update NanoMIRACL README to reference HAKARI Benchmark

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  1. Shorten NanoBEIR blog link in NanoMIRACL README

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  2. Update NanoMIRACL README NanoBEIR links and remove citation section

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  3. Remove NanoIR tooling link from NanoMIRACL source links

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  4. Update NanoMIRACL README for q200 NanoIR dataset

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  5. Update Nano dataset q200 artifacts: bm25

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  6. Update Nano dataset q200 artifacts: qrels

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  7. Update Nano dataset q200 artifacts: queries

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  8. Update Nano dataset q200 artifacts: corpus

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  1. Update README with latest bm25 metrics and tokenization strategies

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  2. Update nano_bm25_subset_config.json

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  3. Update bm25 subset from local auto-best outputs

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  1. Add temporary construction notice below metadata

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  2. Normalize tokenization strategy label to wordseg

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  3. Add per-split selected BM25 tokenization strategy table

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  4. Consolidate bm25 note into Data structure and remove duplicate note in performance section

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  5. Unify README structure and add Data structure bm25 details

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  6. Normalize split_name values in nano_bm25_subset_config.json

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  7. Normalize bm25 split names to language codes

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  8. Normalize qrels split names to language codes

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  9. Normalize queries split names to language codes

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  10. Normalize corpus split names to language codes

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  11. Add BM25 nDCG@10 to model results table and note bm25 subset

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  12. Add nano_bm25_subset_config.json for bm25 subset reproducibility

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  13. Add bm25 subset config from nano-ir-eval auto-best outputs

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  1. Update README.md

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  1. Align README split names with configs (NanoMIRACL_xx)

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  2. Fix configs metadata: use valid split names for datasets parser

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  3. Fix README front matter: add configs for datasets loader compatibility

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  1. Update README with links and ./nano_eval.py

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  2. Add nano_eval.py to repo root

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  3. Add NanoMIRACL README (new structure)

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  4. Upload NanoMIRACL new-structure data

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  1. initial commit

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