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import json
from pathlib import Path
import pytest
results_folder = Path(__file__).parent.parent / "results"
def get_metafiles():
meta_files = results_folder.glob("**/model_meta.json")
meta_files = list(meta_files)
return meta_files
@pytest.mark.parametrize("meta_file", get_metafiles())
def test_correct_folder_structure(meta_file):
"""
the folders should be structured as follows:
results/model_name/revision/*json
"""
with meta_file.open("r") as f:
meta = json.load(f)
mdl_name, revision = meta["name"], meta["revision"]
mdl_name = mdl_name.replace(" ", "_").replace("/", "__")
if revision is None:
revision = meta_file.parent.name
if meta_file.parent.parts[-1] == "external":
revision = "external"
expected_path = results_folder / mdl_name / revision
assert expected_path == meta_file.parent
assert expected_path.exists()
assert len(list(expected_path.glob("*.json"))) > 0
for file in expected_path.glob("*.json"):
assert file.exists()
assert file.is_file()
assert file.parent == expected_path
assert file.suffix == ".json"
folders_without_meta = [ # please do not add to this list it is only intended for backwards compatibility. Future results should have a model_meta.json file
("Alibaba-NLP__gte-Qwen1.5-7B-instruct", "no_revision_available"),
("Alibaba-NLP__gte-Qwen2-7B-instruct", "no_revision_available"),
("BAAI__bge-base-en", "no_revision_available"),
("BAAI__bge-base-en-v1.5-instruct", "a5beb1e3e68b9ab74eb54cfd186867f64f240e1a"),
("BAAI__bge-base-zh", "no_revision_available"),
("BAAI__bge-base-zh-v1.5", "no_revision_available"),
("BAAI__bge-large-en", "no_revision_available"),
("BAAI__bge-large-en-v1.5", "no_revision_available"),
("BAAI__bge-large-en-v1.5-instruct", "d4aa6901d3a41ba39fb536a557fa166f842b0e09"),
("BAAI__bge-large-zh", "no_revision_available"),
("BAAI__bge-large-zh-noinstruct", "no_revision_available"),
("BAAI__bge-large-zh-v1.5", "no_revision_available"),
("BAAI__bge-m3", "no_revision_available"),
("BAAI__bge-m3-instruct", "5617a9f61b028005a4858fdac845db406aefb181"),
("BAAI__bge-small-en-v1.5-instruct", "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a"),
("BAAI__bge-small-zh", "no_revision_available"),
("BAAI__bge-small-zh-v1.5", "no_revision_available"),
("Cohere__Cohere-embed-english-v3.0", "no_revision_available"),
("Cohere__Cohere-embed-english-v3.0-instruct", "no_revision_available"),
("Cohere__Cohere-embed-multilingual-light-v3.0", "no_revision_available"),
("Cohere__Cohere-embed-multilingual-v3.0", "no_revision_available"),
("FacebookAI__xlm-roberta-base", "no_revision_available"),
("FacebookAI__xlm-roberta-large", "no_revision_available"),
("Geotrend__bert-base-10lang-cased", "no_revision_available"),
("Geotrend__bert-base-15lang-cased", "no_revision_available"),
("Geotrend__bert-base-25lang-cased", "no_revision_available"),
("Geotrend__distilbert-base-25lang-cased", "no_revision_available"),
("Geotrend__distilbert-base-en-fr-cased", "no_revision_available"),
("Geotrend__distilbert-base-en-fr-es-pt-it-cased", "no_revision_available"),
("Geotrend__distilbert-base-fr-cased", "no_revision_available"),
("KBLab__electra-small-swedish-cased-discriminator", "no_revision_available"),
("KBLab__sentence-bert-swedish-cased", "no_revision_available"),
("KB__bert-base-swedish-cased", "no_revision_available"),
("McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Llama-2-unsupervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Meta-Llama-3-supervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Meta-Llama-3-unsupervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Mistral-supervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Mistral-unsupervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Sheared-Llama-supervised", "no_revision_available"),
("McGill-NLP__LLM2Vec-Sheared-Llama-unsupervised", "no_revision_available"),
(
"Muennighoff__SGPT-1.3B-weightedmean-msmarco-specb-bitfit",
"no_revision_available",
),
(
"Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit",
"no_revision_available",
),
(
"Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit-doc",
"no_revision_available",
),
(
"Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit-que",
"no_revision_available",
),
("Muennighoff__SGPT-125M-weightedmean-nli-bitfit", "no_revision_available"),
(
"Muennighoff__SGPT-2.7B-weightedmean-msmarco-specb-bitfit",
"no_revision_available",
),
(
"Muennighoff__SGPT-5.8B-weightedmean-msmarco-specb-bitfit",
"no_revision_available",
),
(
"Muennighoff__SGPT-5.8B-weightedmean-msmarco-specb-bitfit-que",
"no_revision_available",
),
("Muennighoff__SGPT-5.8B-weightedmean-nli-bitfit", "no_revision_available"),
("NbAiLab__nb-bert-base", "no_revision_available"),
("NbAiLab__nb-bert-large", "no_revision_available"),
("Salesforce__SFR-Embedding-Mistral", "no_revision_available"),
(
"T-Systems-onsite__cross-en-de-roberta-sentence-transformer",
"no_revision_available",
),
("Wissam42__sentence-croissant-llm-base", "no_revision_available"),
("aliyun__OpenSearch-text-hybrid", "no_revision_available"),
("almanach__camembert-base", "no_revision_available"),
("almanach__camembert-large", "no_revision_available"),
("amazon__titan-embed-text-v1", "no_revision_available"),
("baichuan-ai__text-embedding", "no_revision_available"),
("bigscience-data__sgpt-bloom-1b7-nli", "no_revision_available"),
("bigscience-data__sgpt-bloom-7b1-msmarco", "no_revision_available"),
("bm25", "no_revision_available"),
("bm25s", "0_1_10"),
("castorini__monobert-large-msmarco", "no_revision_available"),
("castorini__monot5-3b-msmarco-10k", "no_revision_available"),
("castorini__monot5-base-msmarco-10k", "no_revision_available"),
("chcaa__dfm-encoder-large-v1", "no_revision_available"),
("dangvantuan__sentence-camembert-base", "no_revision_available"),
("dangvantuan__sentence-camembert-large", "no_revision_available"),
("deepfile__embedder-100p", "no_revision_available"),
("deepset__gbert-base", "no_revision_available"),
("deepset__gbert-large", "no_revision_available"),
("deepset__gelectra-base", "no_revision_available"),
("deepset__gelectra-large", "no_revision_available"),
("distilbert__distilbert-base-uncased", "no_revision_available"),
("dwzhu__e5-base-4k", "no_revision_available"),
("elastic__elser-v2", "no_revision_available"),
("facebook__contriever", "2bd46a25019aeea091fd42d1f0fd4801675cf699"),
("facebook__contriever-instruct", "2bd46a25019aeea091fd42d1f0fd4801675cf699"),
("facebook__dpr-ctx_encoder-multiset-base", "no_revision_available"),
("facebook__dragon-plus-context-encoder", "no_revision_available"),
("facebook__tart-full-flan-t5-xl", "no_revision_available"),
("facebookresearch__LASER2", "no_revision_available"),
("facebookresearch__dragon-plus", "no_revision_available"),
("facebookresearch__dragon-plus-instruct", "no_revision_available"),
("intfloat__e5-base", "no_revision_available"),
("intfloat__e5-base-v2", "no_revision_available"),
("intfloat__e5-large", "no_revision_available"),
("intfloat__e5-large-v2", "no_revision_available"),
("intfloat__e5-mistral-7b-instruct", "no_revision_available"),
(
"intfloat__e5-mistral-7b-instruct-noinstruct",
"07163b72af1488142a360786df853f237b1a3ca1",
),
("intfloat__e5-small", "no_revision_available"),
("intfloat__multilingual-e5-base", "no_revision_available"),
("intfloat__multilingual-e5-large", "no_revision_available"),
("intfloat__multilingual-e5-small", "no_revision_available"),
("ipipan__herbert-base-retrieval-v2", "no_revision_available"),
("ipipan__silver-retriever-base-v1", "no_revision_available"),
("izhx__udever-bloom-1b1", "no_revision_available"),
("izhx__udever-bloom-560m", "no_revision_available"),
("jhu-clsp__FollowIR-7B", "no_revision_available"),
("jinaai__jina-embeddings-v2-base-en", "no_revision_available"),
("jonfd__electra-small-nordic", "no_revision_available"),
("ltg__norbert3-base", "no_revision_available"),
("ltg__norbert3-large", "no_revision_available"),
("meta-llama__llama-2-7b-chat", "no_revision_available"),
("mistral__mistral-embed", "no_revision_available"),
("mistralai__mistral-7b-instruct-v0.2", "no_revision_available"),
("moka-ai__m3e-base", "no_revision_available"),
("moka-ai__m3e-large", "no_revision_available"),
("nomic-ai__nomic-embed-text-v1", "no_revision_available"),
("nomic-ai__nomic-embed-text-v1.5-128", "no_revision_available"),
("nomic-ai__nomic-embed-text-v1.5-256", "no_revision_available"),
("nomic-ai__nomic-embed-text-v1.5-512", "no_revision_available"),
("nomic-ai__nomic-embed-text-v1.5-64", "no_revision_available"),
("nthakur__contriever-base-msmarco", "no_revision_available"),
("openai__text-embedding-3-large-256", "no_revision_available"),
("openai__text-embedding-3-large-instruct", "no_revision_available"),
("openai__text-embedding-3-small-instruct", "no_revision_available"),
("openai__text-embedding-ada-002", "no_revision_available"),
("openai__text-embedding-ada-002-instruct", "no_revision_available"),
("openai__text-search-ada-001", "no_revision_available"),
("openai__text-search-ada-doc-001", "no_revision_available"),
("openai__text-search-babbage-001", "no_revision_available"),
("openai__text-search-curie-001", "no_revision_available"),
("openai__text-search-davinci-001", "no_revision_available"),
("openai__text-similarity-ada-001", "no_revision_available"),
("openai__text-similarity-babbage-001", "no_revision_available"),
("openai__text-similarity-curie-001", "no_revision_available"),
("openai__text-similarity-davinci-001", "no_revision_available"),
("orionweller__tart-dual-contriever-msmarco", "no_revision_available"),
("princeton-nlp__sup-simcse-bert-base-uncased", "no_revision_available"),
("princeton-nlp__unsup-simcse-bert-base-uncased", "no_revision_available"),
("sdadas__st-polish-paraphrase-from-distilroberta", "no_revision_available"),
("sdadas__st-polish-paraphrase-from-mpnet", "no_revision_available"),
("sentence-transformers__LaBSE", "no_revision_available"),
("sentence-transformers__all-MiniLM-L6-v2", "no_revision_available"),
(
"sentence-transformers__all-MiniLM-L6-v2-instruct",
"8b3219a92973c328a8e22fadcfa821b5dc75636a",
),
(
"sentence-transformers__all-mpnet-base-v2-instruct",
"84f2bcc00d77236f9e89c8a360a00fb1139bf47d",
),
("sentence-transformers__allenai-specter", "no_revision_available"),
(
"sentence-transformers__average_word_embeddings_glove.6B.300d",
"no_revision_available",
),
(
"sentence-transformers__average_word_embeddings_komninos",
"no_revision_available",
),
("sentence-transformers__distiluse-base-multilingual-cased-v2", ".gitkeep"),
(
"sentence-transformers__distiluse-base-multilingual-cased-v2",
"no_revision_available",
),
("sentence-transformers__gtr-t5-base", "no_revision_available"),
("sentence-transformers__gtr-t5-large", "no_revision_available"),
("sentence-transformers__gtr-t5-xl", "no_revision_available"),
("sentence-transformers__gtr-t5-xxl", "no_revision_available"),
("sentence-transformers__msmarco-bert-co-condensor", "no_revision_available"),
("sentence-transformers__multi-qa-MiniLM-L6-cos-v1", "no_revision_available"),
(
"sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2",
"no_revision_available",
),
(
"sentence-transformers__paraphrase-multilingual-mpnet-base-v2",
"no_revision_available",
),
("sentence-transformers__sentence-t5-base", "no_revision_available"),
("sentence-transformers__sentence-t5-large", "no_revision_available"),
("sentence-transformers__sentence-t5-xl", "no_revision_available"),
("sentence-transformers__sentence-t5-xxl", "no_revision_available"),
("sentence-transformers__use-cmlm-multilingual", "no_revision_available"),
("shibing624__text2vec-base-chinese", "no_revision_available"),
("shibing624__text2vec-base-multilingual", "no_revision_available"),
("shibing624__text2vec-large-chinese", "no_revision_available"),
("silk-road__luotuo-bert-medium", "no_revision_available"),
("uklfr__gottbert-base", "no_revision_available"),
("vesteinn__DanskBERT", "no_revision_available"),
("voyageai__voyage-2", "no_revision_available"),
("voyageai__voyage-code-2", "no_revision_available"),
("voyageai__voyage-large-2-instruct", "no_revision_available"),
("voyageai__voyage-law-2", "no_revision_available"),
("voyageai__voyage-lite-01-instruct", "no_revision_available"),
("voyageai__voyage-lite-02-instruct", "no_revision_available"),
("voyageai__voyage-multilingual-2", "no_revision_available"),
("vprelovac__universal-sentence-encoder-multilingual-3", "no_revision_available"),
(
"vprelovac__universal-sentence-encoder-multilingual-large-3",
"no_revision_available",
),
]
model_rev_pairs = [
(model_folder, rev_folder)
for model_folder in results_folder.glob("*")
for rev_folder in model_folder.glob("*")
if model_folder.name not in [".DS_Store"] and rev_folder.name not in [".DS_Store"]
]
pairs_no_meta = [
(pair[0].name, pair[1].name)
for pair in model_rev_pairs
if not (pair[1] / "model_meta.json").exists()
]
pairs_no_meta.sort()
p = [p for p in model_rev_pairs if "Haon-Chen" in p[0].name][0][1]/ "model_meta.json"
p.exists() |