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SaylorTwift
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mteb-bitext-mining-aggregated

Tasks:
Sentence Similarity
Modalities:
Text
Formats:
parquet
Languages:
multilingual
Size:
100K - 1M
ArXiv:
Tags:
bitext-mining
sentence-embeddings
mteb
multilingual
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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  1. README.md +309 -0
README.md CHANGED
@@ -291,6 +291,124 @@ configs:
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  path: IN22GenBitextMining/gom_Deva_san_Deva-*
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  - split: gom_Deva_sat_Olck
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  path: IN22GenBitextMining/gom_Deva_sat_Olck-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: default
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  data_files:
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  - split: train
@@ -769,6 +887,197 @@ dataset_info:
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  num_examples: 1024
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  download_size: 43694888
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  dataset_size: 110224194
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # MTEB BitextMining Aggregated Dataset (Full)
 
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  path: IN22GenBitextMining/gom_Deva_san_Deva-*
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  - split: gom_Deva_sat_Olck
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  path: IN22GenBitextMining/gom_Deva_sat_Olck-*
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+ - config_name: IndicGenBenchFloresBitextMining
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+ data_files:
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+ - split: asm_eng
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+ path: IndicGenBenchFloresBitextMining/asm_eng-*
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+ - split: awa_eng
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+ path: IndicGenBenchFloresBitextMining/awa_eng-*
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+ - split: ben_eng
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+ path: IndicGenBenchFloresBitextMining/ben_eng-*
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+ - split: bgc_eng
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+ path: IndicGenBenchFloresBitextMining/bgc_eng-*
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+ - split: bho_eng
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+ path: IndicGenBenchFloresBitextMining/bho_eng-*
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+ - split: bod_eng
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+ path: IndicGenBenchFloresBitextMining/bod_eng-*
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+ - split: boy_eng
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+ path: IndicGenBenchFloresBitextMining/boy_eng-*
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+ - split: eng_asm
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+ path: IndicGenBenchFloresBitextMining/eng_asm-*
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+ - split: eng_awa
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+ path: IndicGenBenchFloresBitextMining/eng_awa-*
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+ - split: eng_ben
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+ path: IndicGenBenchFloresBitextMining/eng_ben-*
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+ - split: eng_bgc
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+ path: IndicGenBenchFloresBitextMining/eng_bgc-*
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+ - split: eng_bho
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+ path: IndicGenBenchFloresBitextMining/eng_bho-*
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+ - split: eng_bod
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+ path: IndicGenBenchFloresBitextMining/eng_bod-*
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+ - split: eng_boy
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+ path: IndicGenBenchFloresBitextMining/eng_boy-*
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+ - split: eng_gbm
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+ path: IndicGenBenchFloresBitextMining/eng_gbm-*
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+ - split: eng_gom
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+ path: IndicGenBenchFloresBitextMining/eng_gom-*
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+ - split: eng_guj
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+ path: IndicGenBenchFloresBitextMining/eng_guj-*
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+ - split: eng_hin
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+ path: IndicGenBenchFloresBitextMining/eng_hin-*
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+ - split: eng_hne
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+ path: IndicGenBenchFloresBitextMining/eng_hne-*
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+ - split: eng_kan
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+ path: IndicGenBenchFloresBitextMining/eng_kan-*
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+ - split: eng_mai
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+ path: IndicGenBenchFloresBitextMining/eng_mai-*
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+ - split: eng_mal
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+ path: IndicGenBenchFloresBitextMining/eng_mal-*
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+ - split: eng_mar
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+ path: IndicGenBenchFloresBitextMining/eng_mar-*
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+ - split: eng_mni
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+ path: IndicGenBenchFloresBitextMining/eng_mni-*
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+ - split: eng_mup
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+ path: IndicGenBenchFloresBitextMining/eng_mup-*
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+ - split: eng_mwr
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+ path: IndicGenBenchFloresBitextMining/eng_mwr-*
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+ - split: eng_nep
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+ path: IndicGenBenchFloresBitextMining/eng_nep-*
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+ - split: eng_ory
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+ path: IndicGenBenchFloresBitextMining/eng_ory-*
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+ - split: eng_pan
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+ path: IndicGenBenchFloresBitextMining/eng_pan-*
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+ - split: eng_pus
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+ path: IndicGenBenchFloresBitextMining/eng_pus-*
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+ - split: eng_raj
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+ path: IndicGenBenchFloresBitextMining/eng_raj-*
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+ - split: eng_san
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+ path: IndicGenBenchFloresBitextMining/eng_san-*
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+ - split: eng_sat
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+ path: IndicGenBenchFloresBitextMining/eng_sat-*
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+ - split: eng_tam
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+ path: IndicGenBenchFloresBitextMining/eng_tam-*
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+ - split: eng_tel
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+ path: IndicGenBenchFloresBitextMining/eng_tel-*
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+ - split: eng_urd
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+ path: IndicGenBenchFloresBitextMining/eng_urd-*
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+ - split: gbm_eng
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+ path: IndicGenBenchFloresBitextMining/gbm_eng-*
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+ - split: gom_eng
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+ path: IndicGenBenchFloresBitextMining/gom_eng-*
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+ - split: guj_eng
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+ path: IndicGenBenchFloresBitextMining/guj_eng-*
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+ - split: hin_eng
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+ path: IndicGenBenchFloresBitextMining/hin_eng-*
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+ - split: hne_eng
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+ path: IndicGenBenchFloresBitextMining/hne_eng-*
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+ - split: kan_eng
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+ path: IndicGenBenchFloresBitextMining/kan_eng-*
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+ - split: mai_eng
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+ path: IndicGenBenchFloresBitextMining/mai_eng-*
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+ - split: mal_eng
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+ path: IndicGenBenchFloresBitextMining/mal_eng-*
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+ - split: mar_eng
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+ path: IndicGenBenchFloresBitextMining/mar_eng-*
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+ - split: mni_eng
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+ path: IndicGenBenchFloresBitextMining/mni_eng-*
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+ - split: mup_eng
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+ path: IndicGenBenchFloresBitextMining/mup_eng-*
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+ - split: mwr_eng
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+ path: IndicGenBenchFloresBitextMining/mwr_eng-*
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+ - split: nep_eng
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+ path: IndicGenBenchFloresBitextMining/nep_eng-*
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+ - split: ory_eng
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+ path: IndicGenBenchFloresBitextMining/ory_eng-*
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+ - split: pan_eng
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+ path: IndicGenBenchFloresBitextMining/pan_eng-*
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+ - split: pus_eng
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+ path: IndicGenBenchFloresBitextMining/pus_eng-*
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+ - split: raj_eng
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+ path: IndicGenBenchFloresBitextMining/raj_eng-*
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+ - split: san_eng
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+ path: IndicGenBenchFloresBitextMining/san_eng-*
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+ - split: sat_eng
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+ path: IndicGenBenchFloresBitextMining/sat_eng-*
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+ - split: tam_eng
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+ path: IndicGenBenchFloresBitextMining/tam_eng-*
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+ - split: tel_eng
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+ path: IndicGenBenchFloresBitextMining/tel_eng-*
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+ - split: urd_eng
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+ path: IndicGenBenchFloresBitextMining/urd_eng-*
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  - config_name: default
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  data_files:
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  - split: train
 
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  num_examples: 1024
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  download_size: 43694888
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  dataset_size: 110224194
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+ - config_name: IndicGenBenchFloresBitextMining
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+ features:
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+ - name: sentence1
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+ dtype: string
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+ - name: sentence2
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+ dtype: string
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+ - name: lang
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+ dtype: string
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+ - name: source_dataset
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+ dtype: string
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+ - name: original_split
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+ dtype: string
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+ - name: config
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+ dtype: string
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+ splits:
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+ - name: asm_eng
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+ num_bytes: 1056946
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+ num_examples: 2009
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+ - name: awa_eng
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+ num_bytes: 1048599
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+ num_examples: 2009
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+ - name: ben_eng
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+ num_bytes: 1074234
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+ num_examples: 2009
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+ - name: bgc_eng
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+ num_bytes: 1036830
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+ num_examples: 2009
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+ - name: bho_eng
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+ num_bytes: 1040988
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+ num_examples: 2009
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+ - name: bod_eng
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+ num_bytes: 1257640
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+ num_examples: 2009
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+ - name: boy_eng
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+ num_bytes: 1161403
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+ num_examples: 2009
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+ - name: eng_asm
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+ num_bytes: 1056968
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+ num_examples: 2009
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+ - name: eng_awa
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+ num_bytes: 1048493
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+ num_examples: 2009
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+ - name: eng_ben
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+ num_bytes: 1074234
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+ num_examples: 2009
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+ - name: eng_bgc
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+ num_bytes: 1036830
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+ num_examples: 2009
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+ - name: eng_bho
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+ num_bytes: 1041035
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+ num_examples: 2009
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+ - name: eng_bod
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+ num_examples: 2009
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+ - name: eng_boy
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+ num_bytes: 1161403
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+ num_examples: 2009
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+ - name: eng_gbm
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+ num_bytes: 1050717
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+ num_examples: 2009
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+ - name: eng_gom
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+ num_bytes: 1056819
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+ num_examples: 2009
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+ - name: eng_guj
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+ num_bytes: 1045771
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+ num_examples: 2009
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+ - name: eng_hin
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+ num_bytes: 1059315
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+ num_examples: 2009
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+ - name: eng_hne
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+ num_examples: 2009
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+ - name: eng_kan
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+ num_bytes: 1132860
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+ num_examples: 2009
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+ - name: eng_mai
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+ num_bytes: 1055548
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+ num_examples: 2009
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+ - name: eng_mal
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+ num_bytes: 1203090
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+ num_examples: 2009
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+ - name: eng_mar
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+ num_examples: 2009
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+ - name: eng_mni
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+ num_examples: 2009
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+ - name: eng_mup
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+ num_bytes: 1058706
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+ num_examples: 2009
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+ - name: eng_mwr
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+ num_bytes: 1062446
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+ num_examples: 2009
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+ - name: eng_nep
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+ num_bytes: 1062632
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+ num_examples: 2009
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+ - name: eng_ory
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+ num_bytes: 1107245
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+ num_examples: 2009
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+ - name: eng_pan
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+ num_bytes: 1070204
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+ num_examples: 2009
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+ - name: eng_pus
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+ num_bytes: 828135
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+ num_examples: 2009
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+ - name: eng_raj
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+ num_bytes: 1058173
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+ num_examples: 2009
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+ - name: eng_san
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+ num_bytes: 1080078
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+ num_examples: 2009
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+ - name: eng_sat
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+ - name: eng_tam
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+ num_examples: 2009
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+ - name: eng_tel
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+ num_examples: 2009
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+ - name: eng_urd
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+ - name: gbm_eng
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+ num_bytes: 1050717
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+ num_examples: 2009
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+ - name: gom_eng
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+ num_examples: 2009
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+ - name: guj_eng
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+ num_bytes: 1045771
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+ num_examples: 2009
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+ - name: hin_eng
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+ num_examples: 2009
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+ - name: hne_eng
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+ - name: kan_eng
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+ - name: mai_eng
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+ - name: mal_eng
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+ - name: mar_eng
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+ - name: mni_eng
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+ - name: mup_eng
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+ - name: mwr_eng
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+ - name: nep_eng
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+ - name: ory_eng
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+ num_examples: 2009
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+ - name: pan_eng
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+ num_examples: 2009
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+ - name: pus_eng
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+ - name: raj_eng
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+ - name: san_eng
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+ - name: sat_eng
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+ - name: tam_eng
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+ - name: tel_eng
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+ num_examples: 2009
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+ - name: urd_eng
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+ num_bytes: 853499
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+ num_examples: 2009
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+ download_size: 27552478
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+ dataset_size: 62291253
1081
  ---
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  # MTEB BitextMining Aggregated Dataset (Full)