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Copy dataset from hotchpotch/NanoBEIR-en-with-bm25

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  1. README.md +179 -0
  2. bm25/NanoArguAna-00000-of-00001.parquet +3 -0
  3. bm25/NanoClimateFEVER-00000-of-00001.parquet +3 -0
  4. bm25/NanoDBPedia-00000-of-00001.parquet +3 -0
  5. bm25/NanoFEVER-00000-of-00001.parquet +3 -0
  6. bm25/NanoFiQA2018-00000-of-00001.parquet +3 -0
  7. bm25/NanoHotpotQA-00000-of-00001.parquet +3 -0
  8. bm25/NanoMSMARCO-00000-of-00001.parquet +3 -0
  9. bm25/NanoNFCorpus-00000-of-00001.parquet +3 -0
  10. bm25/NanoNQ-00000-of-00001.parquet +3 -0
  11. bm25/NanoQuoraRetrieval-00000-of-00001.parquet +3 -0
  12. bm25/NanoSCIDOCS-00000-of-00001.parquet +3 -0
  13. bm25/NanoSciFact-00000-of-00001.parquet +3 -0
  14. bm25/NanoTouche2020-00000-of-00001.parquet +3 -0
  15. corpus/NanoArguAna-00000-of-00001.parquet +3 -0
  16. corpus/NanoClimateFEVER-00000-of-00001.parquet +3 -0
  17. corpus/NanoDBPedia-00000-of-00001.parquet +3 -0
  18. corpus/NanoFEVER-00000-of-00001.parquet +3 -0
  19. corpus/NanoFiQA2018-00000-of-00001.parquet +3 -0
  20. corpus/NanoHotpotQA-00000-of-00001.parquet +3 -0
  21. corpus/NanoMSMARCO-00000-of-00001.parquet +3 -0
  22. corpus/NanoNFCorpus-00000-of-00001.parquet +3 -0
  23. corpus/NanoNQ-00000-of-00001.parquet +3 -0
  24. corpus/NanoQuoraRetrieval-00000-of-00001.parquet +3 -0
  25. corpus/NanoSCIDOCS-00000-of-00001.parquet +3 -0
  26. corpus/NanoSciFact-00000-of-00001.parquet +3 -0
  27. corpus/NanoTouche2020-00000-of-00001.parquet +3 -0
  28. qrels/NanoArguAna-00000-of-00001.parquet +3 -0
  29. qrels/NanoClimateFEVER-00000-of-00001.parquet +3 -0
  30. qrels/NanoDBPedia-00000-of-00001.parquet +3 -0
  31. qrels/NanoFEVER-00000-of-00001.parquet +3 -0
  32. qrels/NanoFiQA2018-00000-of-00001.parquet +3 -0
  33. qrels/NanoHotpotQA-00000-of-00001.parquet +3 -0
  34. qrels/NanoMSMARCO-00000-of-00001.parquet +3 -0
  35. qrels/NanoNFCorpus-00000-of-00001.parquet +3 -0
  36. qrels/NanoNQ-00000-of-00001.parquet +3 -0
  37. qrels/NanoQuoraRetrieval-00000-of-00001.parquet +3 -0
  38. qrels/NanoSCIDOCS-00000-of-00001.parquet +3 -0
  39. qrels/NanoSciFact-00000-of-00001.parquet +3 -0
  40. qrels/NanoTouche2020-00000-of-00001.parquet +3 -0
  41. queries/NanoArguAna-00000-of-00001.parquet +3 -0
  42. queries/NanoClimateFEVER-00000-of-00001.parquet +3 -0
  43. queries/NanoDBPedia-00000-of-00001.parquet +3 -0
  44. queries/NanoFEVER-00000-of-00001.parquet +3 -0
  45. queries/NanoFiQA2018-00000-of-00001.parquet +3 -0
  46. queries/NanoHotpotQA-00000-of-00001.parquet +3 -0
  47. queries/NanoMSMARCO-00000-of-00001.parquet +3 -0
  48. queries/NanoNFCorpus-00000-of-00001.parquet +3 -0
  49. queries/NanoNQ-00000-of-00001.parquet +3 -0
  50. queries/NanoQuoraRetrieval-00000-of-00001.parquet +3 -0
README.md ADDED
@@ -0,0 +1,179 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: NanoClimateFEVER
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+ path: corpus/NanoClimateFEVER-*
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+ - split: NanoDBPedia
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+ path: corpus/NanoDBPedia-*
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+ - split: NanoFEVER
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+ path: corpus/NanoFEVER-*
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+ - split: NanoFiQA2018
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+ path: corpus/NanoFiQA2018-*
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+ - split: NanoHotpotQA
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+ path: corpus/NanoHotpotQA-*
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+ - split: NanoMSMARCO
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+ path: corpus/NanoMSMARCO-*
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+ - split: NanoNFCorpus
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+ path: corpus/NanoNFCorpus-*
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+ - split: NanoNQ
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+ path: corpus/NanoNQ-*
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+ - split: NanoQuoraRetrieval
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+ path: corpus/NanoQuoraRetrieval-*
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+ - split: NanoSCIDOCS
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+ path: corpus/NanoSCIDOCS-*
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+ - split: NanoArguAna
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+ path: corpus/NanoArguAna-*
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+ - split: NanoSciFact
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+ path: corpus/NanoSciFact-*
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+ - split: NanoTouche2020
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+ path: corpus/NanoTouche2020-*
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+ - config_name: queries
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+ data_files:
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+ - split: NanoClimateFEVER
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+ path: queries/NanoClimateFEVER-*
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+ - split: NanoDBPedia
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+ path: queries/NanoDBPedia-*
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+ - split: NanoFEVER
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+ path: queries/NanoFEVER-*
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+ - split: NanoFiQA2018
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+ path: queries/NanoFiQA2018-*
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+ - split: NanoHotpotQA
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+ path: queries/NanoHotpotQA-*
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+ - split: NanoMSMARCO
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+ path: queries/NanoMSMARCO-*
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+ - split: NanoNFCorpus
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+ path: queries/NanoNFCorpus-*
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+ - split: NanoNQ
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+ path: queries/NanoNQ-*
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+ - split: NanoQuoraRetrieval
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+ path: queries/NanoQuoraRetrieval-*
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+ - split: NanoSCIDOCS
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+ path: queries/NanoSCIDOCS-*
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+ - split: NanoArguAna
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+ path: queries/NanoArguAna-*
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+ - split: NanoSciFact
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+ path: queries/NanoSciFact-*
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+ - split: NanoTouche2020
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+ path: queries/NanoTouche2020-*
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+ - config_name: qrels
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+ data_files:
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+ - split: NanoClimateFEVER
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+ path: qrels/NanoClimateFEVER-*
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+ - split: NanoDBPedia
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+ path: qrels/NanoDBPedia-*
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+ - split: NanoFEVER
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+ path: qrels/NanoFEVER-*
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+ - split: NanoFiQA2018
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+ path: qrels/NanoFiQA2018-*
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+ - split: NanoHotpotQA
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+ path: qrels/NanoHotpotQA-*
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+ - split: NanoMSMARCO
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+ path: qrels/NanoMSMARCO-*
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+ - split: NanoNFCorpus
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+ path: qrels/NanoNFCorpus-*
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+ - split: NanoNQ
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+ path: qrels/NanoNQ-*
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+ - split: NanoQuoraRetrieval
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+ path: qrels/NanoQuoraRetrieval-*
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+ - split: NanoSCIDOCS
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+ path: qrels/NanoSCIDOCS-*
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+ - split: NanoArguAna
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+ path: qrels/NanoArguAna-*
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+ - split: NanoSciFact
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+ path: qrels/NanoSciFact-*
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+ - split: NanoTouche2020
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+ path: qrels/NanoTouche2020-*
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+ - config_name: bm25
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+ data_files:
89
+ - split: NanoArguAna
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+ path: bm25/NanoArguAna-*
91
+ - split: NanoClimateFEVER
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+ path: bm25/NanoClimateFEVER-*
93
+ - split: NanoDBPedia
94
+ path: bm25/NanoDBPedia-*
95
+ - split: NanoFEVER
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+ path: bm25/NanoFEVER-*
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+ - split: NanoFiQA2018
98
+ path: bm25/NanoFiQA2018-*
99
+ - split: NanoHotpotQA
100
+ path: bm25/NanoHotpotQA-*
101
+ - split: NanoMSMARCO
102
+ path: bm25/NanoMSMARCO-*
103
+ - split: NanoNFCorpus
104
+ path: bm25/NanoNFCorpus-*
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+ - split: NanoNQ
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+ path: bm25/NanoNQ-*
107
+ - split: NanoQuoraRetrieval
108
+ path: bm25/NanoQuoraRetrieval-*
109
+ - split: NanoSCIDOCS
110
+ path: bm25/NanoSCIDOCS-*
111
+ - split: NanoSciFact
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+ path: bm25/NanoSciFact-*
113
+ - split: NanoTouche2020
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+ path: bm25/NanoTouche2020-*
115
+ ---
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+
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+ 🚧 This dataset is currently under construction. Specifications may change.
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+
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+ # NanoBEIR-en (with bm25 subset)
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+
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+ A BM25-first retrieval subset derived from [sentence-transformers/NanoBEIR-en](https://huggingface.co/datasets/sentence-transformers/NanoBEIR-en) for reproducible NanoBEIR evaluation.
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+
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+ ## What this dataset is
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+
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+ - Language: `en`
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+ - BM25 top-k: `100`
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+ - Number of evaluation splits: `13`
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+ - This folder contains generated BM25 retrieval results and reproducibility metadata.
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+
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+ ## Data structure
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+
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+ - `corpus`: `_id`, `text`
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+ - `queries`: `_id`, `text`
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+ - `qrels`: `query-id`, `corpus-id`, `score`
135
+ - `bm25`: `query-id`, `corpus-ids` (A bm25 subset is included for first-stage retrieval and reranking experiments.)
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+
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+ ## BM25 baseline scores
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+
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+ | Scope | nDCG@10 | nDCG@100 |
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+ |---|---:|---:|
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+ | 13-split average | 0.5736 | 0.6082 |
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+
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+ ## Selected BM25 algorithm
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+
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+ | Item | Value |
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+ |---|---|
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+ | Mode | `nltk_stem` |
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+ | Details | NLTK snowball stemming |
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+
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+ ## Subset names
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+
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+ - Split names: `NanoArguAna`, `NanoClimateFEVER`, `NanoDBPedia`, `NanoFEVER`, `NanoFiQA2018`, `NanoHotpotQA`, `NanoMSMARCO`, `NanoNFCorpus`, `NanoNQ`, `NanoQuoraRetrieval`, `NanoSCIDOCS`, `NanoSciFact`, `NanoTouche2020`
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+ - Config names in this output folder: `bm25`
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+
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+ ## BM25 split-level baseline (`nDCG`)
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+
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+ | Split | nDCG@10 | nDCG@100 |
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+ |---|---:|---:|
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+ | `NanoArguAna` | 0.4276 | 0.4953 |
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+ | `NanoClimateFEVER` | 0.3285 | 0.3831 |
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+ | `NanoDBPedia` | 0.6140 | 0.6694 |
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+ | `NanoFEVER` | 0.8215 | 0.8336 |
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+ | `NanoFiQA2018` | 0.4118 | 0.4557 |
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+ | `NanoHotpotQA` | 0.8464 | 0.8608 |
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+ | `NanoMSMARCO` | 0.5404 | 0.5968 |
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+ | `NanoNFCorpus` | 0.3417 | 0.2454 |
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+ | `NanoNQ` | 0.5200 | 0.5546 |
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+ | `NanoQuoraRetrieval` | 0.8314 | 0.8551 |
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+ | `NanoSCIDOCS` | 0.3298 | 0.4416 |
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+ | `NanoSciFact` | 0.7359 | 0.7541 |
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+ | `NanoTouche2020` | 0.7082 | 0.7611 |
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+
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+ ## Upstream source
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+
175
+ - Original dataset: [sentence-transformers/NanoBEIR-en](https://huggingface.co/datasets/sentence-transformers/NanoBEIR-en)
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+
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+ ## License
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+
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+ Same as the upstream dataset. Follow upstream licensing and attribution requirements.
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