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41 changes: 32 additions & 9 deletions mteb/models/ru_sentence_models.py
Original file line number Diff line number Diff line change
Expand Up @@ -77,7 +77,11 @@
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets=None,
adapted_from="google/bert_uncased_L-12_H-768_A-12",
training_datasets={
# SNLI
# MNLI
},
)

sbert_large_mt_nlu_ru = ModelMeta(
Expand Down Expand Up @@ -226,7 +230,15 @@
# Wikipedia, Books, Twitter comments, Pikabu, Proza.ru, Film subtitles, News websites, and Social corpus
public_training_code=None,
public_training_data=None,
training_datasets=None,
training_datasets={
# 400 GB of filtered and deduplicated texts in total.
# A mix of the following data: Wikipedia, Books, Twitter comments, Pikabu, Proza.ru,
# Film subtitles, News websites, and Social corpus.
# wikipedia
"WikipediaRetrievalMultilingual": [],
"WikipediaRerankingMultilingual": [],
"RiaNewsRetrieval": [], # probably
},
)

rubert_base_cased = ModelMeta(
Expand All @@ -246,7 +258,12 @@
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets=None,
adapted_from="google/bert_uncased_L-12_H-768_A-12",
training_datasets={
# wikipedia
"WikipediaRetrievalMultilingual": [],
"WikipediaRerankingMultilingual": [],
},
)

distilrubert_small_cased_conversational = ModelMeta(
Expand All @@ -266,7 +283,10 @@
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets=None,
adapted_from="DeepPavlov/distilrubert-base-cased-conversational",
training_datasets={
# OpenSubtitles[1], Dirty, Pikabu, and a Social Media segment of Taiga corpus
},
)

rubert_base_cased_sentence = ModelMeta(
Expand Down Expand Up @@ -309,10 +329,15 @@
use_instructions=False,
public_training_code="https://colab.research.google.com/drive/1dnPRn0-ugj3vZgSpyCC9sgslM2SuSfHy?usp=sharing",
public_training_data=None,
training_datasets=None,
training_datasets={
# https://translate.yandex.ru/corpus
},
adapted_from="sentence-transformers/LaBSE",
)

turbo_models_datasets = {
# Not MTEB: {"IlyaGusev/gazeta": ["train"], "zloelias/lenta-ru": ["train"]},
}
rubert_tiny_turbo = ModelMeta(
name="sergeyzh/rubert-tiny-turbo",
languages=["rus_Cyrl"],
Expand All @@ -330,8 +355,7 @@
use_instructions=False,
public_training_code=None,
public_training_data=None,
training_datasets=None,
# Not MTEB: {"IlyaGusev/gazeta": ["train"], "zloelias/lenta-ru": ["train"]},
training_datasets=turbo_models_datasets,
adapted_from="cointegrated/rubert-tiny2",
)

Expand All @@ -350,8 +374,7 @@
similarity_fn_name="cosine",
framework=["Sentence Transformers", "PyTorch"],
use_instructions=False,
training_datasets=None,
# not MTEB: {"IlyaGusev/gazeta": ["train"], "zloelias/lenta-ru": ["train"]},
training_datasets=turbo_models_datasets,
public_training_code=None,
adapted_from="cointegrated/LaBSE-en-ru",
public_training_data=None,
Expand Down