Kenneth Enevoldsen
commited on
fix: Enforce revision ID and model names for future contributions (#56)
Browse filesAdded this change mainly due to duplicates models results and due to recent addition not including a model revision (which I we should probably discourage).
This fixes models results for:
- voyage
- README.md +4 -0
- paths.json +2 -4
- results/voyage-multilingual-2/1/model_meta.json +0 -1
- results/voyageai__voyage-3-lite/no_revision_available/model_meta.json +1 -1
- results/voyageai__voyage-3/no_revision_available/model_meta.json +1 -1
- results/{voyage-multilingual-2 → voyageai__voyage-multilingual-2}/1/BornholmBitextMining.json +0 -0
- results/{voyage-multilingual-2 → voyageai__voyage-multilingual-2}/1/STSB.json +0 -0
- results/voyageai__voyage-multilingual-2/1/model_meta.json +1 -0
- tests/test_correct_folder_structure.py +211 -203
- tests/test_ensure_correct_metadata.py +73 -0
README.md
CHANGED
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@@ -4,6 +4,10 @@ type: evaluation
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submission_name: MTEB
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---
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This repository contain the results of the embedding benchmark evaluated using the package `mteb`.
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submission_name: MTEB
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---
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> [!NOTE]
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> Previously it was possible to submit models results to MTEB by adding the results to the model metadata. This is no longer an option as we want to ensure high quality metadata.
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This repository contain the results of the embedding benchmark evaluated using the package `mteb`.
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paths.json
CHANGED
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@@ -14632,10 +14632,6 @@
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"results/vesteinn__DanskBERT/no_revision_available/LccSentimentClassification.json",
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"results/vesteinn__DanskBERT/no_revision_available/DalajClassification.json"
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],
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-
"voyage-multilingual-2": [
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"results/voyage-multilingual-2/1/BornholmBitextMining.json",
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"results/voyage-multilingual-2/1/STSB.json"
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],
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"voyageai__voyage-2": [
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"results/voyageai__voyage-2/no_revision_available/MassiveIntentClassification.json",
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"results/voyageai__voyage-2/no_revision_available/MLSUMClusteringP2P.json",
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@@ -15003,6 +14999,8 @@
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"results/voyageai__voyage-lite-02-instruct/no_revision_available/StackOverflowDupQuestions.json"
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],
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"voyageai__voyage-multilingual-2": [
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"results/voyageai__voyage-multilingual-2/no_revision_available/MassiveIntentClassification.json",
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"results/voyageai__voyage-multilingual-2/no_revision_available/LEMBWikimQARetrieval.json",
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"results/voyageai__voyage-multilingual-2/no_revision_available/MLSUMClusteringP2P.json",
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"results/vesteinn__DanskBERT/no_revision_available/LccSentimentClassification.json",
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"results/vesteinn__DanskBERT/no_revision_available/DalajClassification.json"
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],
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"voyageai__voyage-2": [
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"results/voyageai__voyage-2/no_revision_available/MassiveIntentClassification.json",
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"results/voyageai__voyage-2/no_revision_available/MLSUMClusteringP2P.json",
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"results/voyageai__voyage-lite-02-instruct/no_revision_available/StackOverflowDupQuestions.json"
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],
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"voyageai__voyage-multilingual-2": [
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+
"results/voyageai__voyage-multilingual-2/1/BornholmBitextMining.json",
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+
"results/voyageai__voyage-multilingual-2/1/STSB.json"
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"results/voyageai__voyage-multilingual-2/no_revision_available/MassiveIntentClassification.json",
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"results/voyageai__voyage-multilingual-2/no_revision_available/LEMBWikimQARetrieval.json",
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"results/voyageai__voyage-multilingual-2/no_revision_available/MLSUMClusteringP2P.json",
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results/voyage-multilingual-2/1/model_meta.json
DELETED
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@@ -1 +0,0 @@
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-
{"name": "voyage-multilingual-2", "revision": "1", "release_date": "2024-06-10", "languages": null, "n_parameters": null, "memory_usage": null, "max_tokens": 32000, "embed_dim": 1024, "license": null, "open_source": false, "similarity_fn_name": null, "framework": [], "loader": "VoyageWrapper"}
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results/voyageai__voyage-3-lite/no_revision_available/model_meta.json
CHANGED
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@@ -1 +1 @@
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-
{"name": "
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+
{"name": "voyageai/voyage-3-lite", "revision": "no_revision_available", "release_date": "2024-09-22", "languages": null, "n_parameters": null, "memory_usage": null, "max_tokens": 32000, "embed_dim": 512, "license": null, "open_source": false, "similarity_fn_name": null, "framework": [], "loader": "VoyageWrapper"}
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results/voyageai__voyage-3/no_revision_available/model_meta.json
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@@ -1 +1 @@
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{"name": "
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{"name": "voyageai/voyage-3", "revision": "no_revision_available", "release_date": "2024-09-22", "languages": null, "n_parameters": null, "memory_usage": null, "max_tokens": 32000, "embed_dim": 1024, "license": null, "open_source": false, "similarity_fn_name": null, "framework": [], "loader": "VoyageWrapper"}
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results/{voyage-multilingual-2 → voyageai__voyage-multilingual-2}/1/BornholmBitextMining.json
RENAMED
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File without changes
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results/{voyage-multilingual-2 → voyageai__voyage-multilingual-2}/1/STSB.json
RENAMED
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File without changes
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results/voyageai__voyage-multilingual-2/1/model_meta.json
ADDED
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{"name": "voyageai/voyage-multilingual-2", "revision": "1", "release_date": "2024-06-10", "languages": null, "n_parameters": null, "memory_usage": null, "max_tokens": 32000, "embed_dim": 1024, "license": null, "open_source": false, "similarity_fn_name": null, "framework": [], "loader": "VoyageWrapper"}
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tests/test_correct_folder_structure.py
CHANGED
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@@ -44,236 +44,244 @@ def test_correct_folder_structure(meta_file):
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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
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("BAAI__bge-
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("
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("
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("openai__text-embedding-3-small-instruct", "no_revision_available"),
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("BAAI__bge-m3", "no_revision_available"),
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("
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("
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("
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("intfloat__e5-base", "no_revision_available"),
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("BAAI__bge-small-zh-v1.5", "no_revision_available"),
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("
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("KBLab__electra-small-swedish-cased-discriminator", "no_revision_available"),
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("McGill-NLP__LLM2Vec-Mistral-unsupervised", "no_revision_available"),
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("Muennighoff__SGPT-5.8B-weightedmean-nli-bitfit", "no_revision_available"),
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("almanach__camembert-large", "no_revision_available"),
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("baichuan-ai__text-embedding", "no_revision_available"),
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("
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("sentence-transformers__LaBSE", "no_revision_available"),
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("Wissam42__sentence-croissant-llm-base", "no_revision_available"),
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("Geotrend__bert-base-25lang-cased", "no_revision_available"),
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("bigscience-data__sgpt-bloom-7b1-msmarco", "no_revision_available"),
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("moka-ai__m3e-base", "no_revision_available"),
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("intfloat__e5-mistral-7b-instruct", "no_revision_available"),
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("almanach__camembert-base", "no_revision_available"),
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("vprelovac__universal-sentence-encoder-multilingual-3", "no_revision_available"),
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("dangvantuan__sentence-camembert-large", "no_revision_available"),
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("deepset__gelectra-large", "no_revision_available"),
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("moka-ai__m3e-large", "no_revision_available"),
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("meta-llama__llama-2-7b-chat", "no_revision_available"),
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("bigscience-data__sgpt-bloom-1b7-nli", "no_revision_available"),
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("sentence-transformers__all-mpnet-base-v2", "84f2bcc00d77236f9e89c8a360a00fb1139bf47d"),
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("sentence-transformers__sentence-t5-xl", "no_revision_available"),
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("Geotrend__distilbert-base-en-fr-cased", "no_revision_available"),
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("openai__text-embedding-ada-002", "no_revision_available"),
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("BAAI__bge-small-en-v1.5-instruct", "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a"),
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("shibing624__text2vec-base-multilingual", "no_revision_available"),
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("sentence-transformers__multi-qa-MiniLM-L6-cos-v1", "no_revision_available"),
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("jinaai__jina-embeddings-v2-base-en", "no_revision_available"),
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("mistralai__mistral-7b-instruct-v0.2", "no_revision_available"),
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("castorini__monot5-3b-msmarco-10k", "no_revision_available"),
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("Alibaba-NLP__gte-Qwen2-7B-instruct", "no_revision_available"),
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("google-bert__bert-base-multilingual-uncased", "no_revision_available"),
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("sentence-transformers__distiluse-base-multilingual-cased-v2", "no_revision_available"),
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("sentence-transformers__distiluse-base-multilingual-cased-v2", ".gitkeep"),
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("BAAI__bge-base-zh-v1.5", "no_revision_available"),
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("google-gecko__text-embedding-004", "no_revision_available"),
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("openai__text-search-curie-001", "no_revision_available"),
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("princeton-nlp__sup-simcse-bert-base-uncased", "no_revision_available"),
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("BAAI__bge-base-en-v1.5-instruct", "a5beb1e3e68b9ab74eb54cfd186867f64f240e1a"),
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("GritLM__GritLM-7B", "no_revision_available"),
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("GritLM__GritLM-7B", "13f00a0e36500c80ce12870ea513846a066004af"),
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("Cohere__Cohere-embed-multilingual-light-v3.0", "no_revision_available"),
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("BAAI__bge-base-zh", "no_revision_available"),
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("voyageai__voyage-code-2", "no_revision_available"),
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("sentence-transformers__sentence-t5-base", "no_revision_available"),
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("flaubert__flaubert_large_cased", "no_revision_available"),
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("Cohere__Cohere-embed-english-v3.0-instruct", "no_revision_available"),
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("Salesforce__SFR-Embedding-Mistral", "no_revision_available"),
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("facebookresearch__dragon-plus", "no_revision_available"),
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("McGill-NLP__LLM2Vec-Sheared-Llama-unsupervised", "no_revision_available"),
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("openai__text-embedding-3-small", "no_revision_available"),
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("google__flan-t5-base", "no_revision_available"),
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("openai__text-search-ada-doc-001", "no_revision_available"),
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("google-bert__bert-base-multilingual-cased", "no_revision_available"),
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("McGill-NLP__LLM2Vec-Meta-Llama-3-unsupervised", "no_revision_available"),
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("ipipan__silver-retriever-base-v1", "no_revision_available"),
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("facebook__dpr-ctx_encoder-multiset-base", "no_revision_available"),
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("bm25s", "0_1_10"),
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("sentence-transformers__all-MiniLM-L12-v2", "a05860a77cef7b37e0048a7864658139bc18a854"),
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("facebookresearch__dragon-plus-instruct", "no_revision_available"),
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("elastic__elser-v2", "no_revision_available"),
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("facebook__contriever-instruct", "2bd46a25019aeea091fd42d1f0fd4801675cf699"),
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("intfloat__e5-
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("FacebookAI__xlm-roberta-base", "no_revision_available"),
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("BAAI__bge-large-zh-v1.5", "no_revision_available"),
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("orionweller__tart-dual-contriever-msmarco", "no_revision_available"),
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("openai__text-embedding-preview-004-768", "no_revision_available"),
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("vesteinn__DanskBERT", "no_revision_available"),
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("deepset__gbert-large", "no_revision_available"),
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("openai__text-similarity-davinci-001", "no_revision_available"),
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("sentence-transformers__use-cmlm-multilingual", "no_revision_available"),
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("KBLab__sentence-bert-swedish-cased", "no_revision_available"),
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("nomic-ai__nomic-embed-text-v1", "no_revision_available"),
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("openai__text-similarity-babbage-001", "no_revision_available"),
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("mistral__mistral-embed", "no_revision_available"),
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("voyageai__voyage-large-2-instruct", "no_revision_available"),
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("flaubert__flaubert_base_uncased", "no_revision_available"),
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("nomic-ai__nomic-embed-text-v1.5-256", "no_revision_available"),
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("intfloat__e5-large", "no_revision_available"),
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("BAAI__bge-small-zh", "no_revision_available"),
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("sdadas__st-polish-paraphrase-from-mpnet", "no_revision_available"),
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("bm25", "no_revision_available"),
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("nomic-ai__nomic-embed-text-v1.5-128", "no_revision_available"),
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("voyageai__voyage-lite-01-instruct", "no_revision_available"),
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("hkunlp__instructor-large", "no_revision_available"),
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("facebook__contriever", "2bd46a25019aeea091fd42d1f0fd4801675cf699"),
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("Alibaba-NLP__gte-Qwen1.5-7B-instruct", "no_revision_available"),
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("sentence-transformers__msmarco-bert-co-condensor", "no_revision_available"),
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("shibing624__text2vec-large-chinese", "no_revision_available"),
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("intfloat__multilingual-e5-small", "e4ce9877abf3edfe10b0d82785e83bdcb973e22e"),
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("intfloat__multilingual-e5-small", "no_revision_available"),
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("castorini__monot5-3b-msmarco-10k", "no_revision_available"),
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("castorini__monot5-base-msmarco-10k", "no_revision_available"),
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("jhu-clsp__FollowIR-7B", "no_revision_available"),
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("ipipan__herbert-base-retrieval-v2", "no_revision_available"),
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("izhx__udever-bloom-1b1", "no_revision_available"),
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("ltg__norbert3-large", "no_revision_available"),
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("nomic-ai__nomic-embed-text-v1.5-64", "no_revision_available"),
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("
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("Geotrend__distilbert-base-fr-cased", "no_revision_available"),
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| 202 |
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("hkunlp__instructor-xl", "no_revision_available"),
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("shibing624__text2vec-base-chinese", "no_revision_available"),
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("BAAI__bge-large-en", "no_revision_available"),
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("BAAI__bge-large-en-v1.5-instruct", "d4aa6901d3a41ba39fb536a557fa166f842b0e09"),
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("google-bert__bert-base-uncased", "no_revision_available"),
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("sentence-transformers__all-MiniLM-L6-v2", "8b3219a92973c328a8e22fadcfa821b5dc75636a"),
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("sentence-transformers__all-MiniLM-L6-v2", "no_revision_available"),
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| 209 |
-
("intfloat__e5-base-v2", "no_revision_available"),
|
| 210 |
-
("intfloat__e5-base-v2", "1c644c92ad3ba1efdad3f1451a637716616a20e8"),
|
| 211 |
-
("sentence-transformers__gtr-t5-xl", "no_revision_available"),
|
| 212 |
-
("ltg__norbert3-base", "no_revision_available"),
|
| 213 |
("openai__text-embedding-3-large-256", "no_revision_available"),
|
| 214 |
-
("
|
| 215 |
-
("
|
| 216 |
-
("
|
| 217 |
-
("
|
| 218 |
-
("
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|
| 219 |
("princeton-nlp__unsup-simcse-bert-base-uncased", "no_revision_available"),
|
| 220 |
-
("
|
| 221 |
-
("
|
| 222 |
-
("sentence-
|
|
|
|
| 223 |
(
|
| 224 |
-
"sentence-
|
| 225 |
-
"
|
| 226 |
),
|
| 227 |
-
(
|
| 228 |
-
|
| 229 |
-
|
| 230 |
-
|
| 231 |
-
("
|
| 232 |
-
(
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
|
| 236 |
-
(
|
| 237 |
-
|
| 238 |
-
|
| 239 |
-
|
| 240 |
-
("
|
| 241 |
-
(
|
| 242 |
-
|
| 243 |
-
|
|
|
|
|
|
|
|
|
|
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|
|
| 244 |
("sentence-transformers__gtr-t5-xxl", "no_revision_available"),
|
| 245 |
-
("
|
| 246 |
-
("
|
| 247 |
-
(
|
| 248 |
-
|
|
|
|
|
|
|
| 249 |
(
|
| 250 |
"sentence-transformers__paraphrase-multilingual-mpnet-base-v2",
|
| 251 |
-
"
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
| 252 |
),
|
| 253 |
-
("sentence-transformers__paraphrase-multilingual-mpnet-base-v2", "no_revision_available"),
|
| 254 |
-
("google__flan-t5-large", "no_revision_available"),
|
| 255 |
-
("sergeyzh__rubert-tiny-turbo", "8ce0cf757446ce9bb2d5f5a4ac8103c7a1049054"),
|
| 256 |
-
("Muennighoff__SGPT-1.3B-weightedmean-msmarco-specb-bitfit", "no_revision_available"),
|
| 257 |
-
("vprelovac__universal-sentence-encoder-multilingual-large-3", "no_revision_available"),
|
| 258 |
-
("deepset__gbert-base", "no_revision_available"),
|
| 259 |
-
("sentence-transformers__allenai-specter", "no_revision_available"),
|
| 260 |
-
("McGill-NLP__LLM2Vec-Mistral-supervised", "no_revision_available"),
|
| 261 |
]
|
| 262 |
|
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|
| 263 |
|
| 264 |
-
@pytest.mark.parametrize("model_folder", results_folder.glob("*"))
|
| 265 |
-
def test_model_meta_in_folders(model_folder):
|
| 266 |
-
"""
|
| 267 |
-
the folders should contain a model_meta.json file
|
| 268 |
-
"""
|
| 269 |
-
|
| 270 |
-
for rev_folder in model_folder.glob("*"):
|
| 271 |
-
if (model_folder.name, rev_folder.name) in folders_without_meta:
|
| 272 |
-
continue
|
| 273 |
|
| 274 |
-
|
| 275 |
-
|
| 276 |
-
assert meta_file.is_file()
|
| 277 |
-
assert meta_file.parent == rev_folder
|
| 278 |
-
assert meta_file.suffix == ".json"
|
| 279 |
-
assert meta_file.stem == "model_meta"
|
|
|
|
| 44 |
|
| 45 |
|
| 46 |
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
|
| 47 |
+
("Alibaba-NLP__gte-Qwen1.5-7B-instruct", "no_revision_available"),
|
| 48 |
+
("Alibaba-NLP__gte-Qwen2-7B-instruct", "no_revision_available"),
|
| 49 |
+
("BAAI__bge-base-en", "no_revision_available"),
|
| 50 |
+
("BAAI__bge-base-en-v1.5-instruct", "a5beb1e3e68b9ab74eb54cfd186867f64f240e1a"),
|
| 51 |
+
("BAAI__bge-base-zh", "no_revision_available"),
|
| 52 |
+
("BAAI__bge-base-zh-v1.5", "no_revision_available"),
|
| 53 |
+
("BAAI__bge-large-en", "no_revision_available"),
|
| 54 |
+
("BAAI__bge-large-en-v1.5", "no_revision_available"),
|
| 55 |
+
("BAAI__bge-large-en-v1.5-instruct", "d4aa6901d3a41ba39fb536a557fa166f842b0e09"),
|
| 56 |
+
("BAAI__bge-large-zh", "no_revision_available"),
|
| 57 |
+
("BAAI__bge-large-zh-noinstruct", "no_revision_available"),
|
| 58 |
+
("BAAI__bge-large-zh-v1.5", "no_revision_available"),
|
|
|
|
| 59 |
("BAAI__bge-m3", "no_revision_available"),
|
| 60 |
+
("BAAI__bge-m3-instruct", "5617a9f61b028005a4858fdac845db406aefb181"),
|
| 61 |
+
("BAAI__bge-small-en-v1.5-instruct", "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a"),
|
| 62 |
+
("BAAI__bge-small-zh", "no_revision_available"),
|
|
|
|
| 63 |
("BAAI__bge-small-zh-v1.5", "no_revision_available"),
|
| 64 |
+
("Cohere__Cohere-embed-english-v3.0", "no_revision_available"),
|
| 65 |
+
("Cohere__Cohere-embed-english-v3.0-instruct", "no_revision_available"),
|
| 66 |
+
("Cohere__Cohere-embed-multilingual-light-v3.0", "no_revision_available"),
|
| 67 |
+
("Cohere__Cohere-embed-multilingual-v3.0", "no_revision_available"),
|
| 68 |
+
("FacebookAI__xlm-roberta-base", "no_revision_available"),
|
| 69 |
+
("FacebookAI__xlm-roberta-large", "no_revision_available"),
|
| 70 |
+
("Geotrend__bert-base-10lang-cased", "no_revision_available"),
|
| 71 |
+
("Geotrend__bert-base-15lang-cased", "no_revision_available"),
|
| 72 |
+
("Geotrend__bert-base-25lang-cased", "no_revision_available"),
|
| 73 |
+
("Geotrend__distilbert-base-25lang-cased", "no_revision_available"),
|
| 74 |
+
("Geotrend__distilbert-base-en-fr-cased", "no_revision_available"),
|
| 75 |
+
("Geotrend__distilbert-base-en-fr-es-pt-it-cased", "no_revision_available"),
|
| 76 |
+
("Geotrend__distilbert-base-fr-cased", "no_revision_available"),
|
| 77 |
("KBLab__electra-small-swedish-cased-discriminator", "no_revision_available"),
|
| 78 |
+
("KBLab__sentence-bert-swedish-cased", "no_revision_available"),
|
| 79 |
+
("KB__bert-base-swedish-cased", "no_revision_available"),
|
| 80 |
+
("McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised", "no_revision_available"),
|
| 81 |
+
("McGill-NLP__LLM2Vec-Llama-2-unsupervised", "no_revision_available"),
|
| 82 |
+
("McGill-NLP__LLM2Vec-Meta-Llama-3-supervised", "no_revision_available"),
|
| 83 |
+
("McGill-NLP__LLM2Vec-Meta-Llama-3-unsupervised", "no_revision_available"),
|
| 84 |
+
("McGill-NLP__LLM2Vec-Mistral-supervised", "no_revision_available"),
|
| 85 |
("McGill-NLP__LLM2Vec-Mistral-unsupervised", "no_revision_available"),
|
| 86 |
+
("McGill-NLP__LLM2Vec-Sheared-Llama-supervised", "no_revision_available"),
|
| 87 |
+
("McGill-NLP__LLM2Vec-Sheared-Llama-unsupervised", "no_revision_available"),
|
| 88 |
+
(
|
| 89 |
+
"Muennighoff__SGPT-1.3B-weightedmean-msmarco-specb-bitfit",
|
| 90 |
+
"no_revision_available",
|
| 91 |
+
),
|
| 92 |
+
(
|
| 93 |
+
"Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit",
|
| 94 |
+
"no_revision_available",
|
| 95 |
+
),
|
| 96 |
+
(
|
| 97 |
+
"Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit-doc",
|
| 98 |
+
"no_revision_available",
|
| 99 |
+
),
|
| 100 |
+
(
|
| 101 |
+
"Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit-que",
|
| 102 |
+
"no_revision_available",
|
| 103 |
+
),
|
| 104 |
+
("Muennighoff__SGPT-125M-weightedmean-nli-bitfit", "no_revision_available"),
|
| 105 |
+
(
|
| 106 |
+
"Muennighoff__SGPT-2.7B-weightedmean-msmarco-specb-bitfit",
|
| 107 |
+
"no_revision_available",
|
| 108 |
+
),
|
| 109 |
+
(
|
| 110 |
+
"Muennighoff__SGPT-5.8B-weightedmean-msmarco-specb-bitfit",
|
| 111 |
+
"no_revision_available",
|
| 112 |
+
),
|
| 113 |
+
(
|
| 114 |
+
"Muennighoff__SGPT-5.8B-weightedmean-msmarco-specb-bitfit-que",
|
| 115 |
+
"no_revision_available",
|
| 116 |
+
),
|
| 117 |
("Muennighoff__SGPT-5.8B-weightedmean-nli-bitfit", "no_revision_available"),
|
| 118 |
+
("NbAiLab__nb-bert-base", "no_revision_available"),
|
| 119 |
+
("NbAiLab__nb-bert-large", "no_revision_available"),
|
| 120 |
+
("Salesforce__SFR-Embedding-Mistral", "no_revision_available"),
|
| 121 |
+
(
|
| 122 |
+
"T-Systems-onsite__cross-en-de-roberta-sentence-transformer",
|
| 123 |
+
"no_revision_available",
|
| 124 |
+
),
|
| 125 |
+
("Wissam42__sentence-croissant-llm-base", "no_revision_available"),
|
| 126 |
+
("aliyun__OpenSearch-text-hybrid", "no_revision_available"),
|
| 127 |
+
("almanach__camembert-base", "no_revision_available"),
|
| 128 |
("almanach__camembert-large", "no_revision_available"),
|
| 129 |
+
("amazon__titan-embed-text-v1", "no_revision_available"),
|
| 130 |
("baichuan-ai__text-embedding", "no_revision_available"),
|
| 131 |
+
("bigscience-data__sgpt-bloom-1b7-nli", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
| 132 |
("bigscience-data__sgpt-bloom-7b1-msmarco", "no_revision_available"),
|
| 133 |
+
("bm25", "no_revision_available"),
|
| 134 |
+
("bm25s", "0_1_10"),
|
| 135 |
+
("castorini__monobert-large-msmarco", "no_revision_available"),
|
| 136 |
+
("castorini__monot5-3b-msmarco-10k", "no_revision_available"),
|
| 137 |
+
("castorini__monot5-base-msmarco-10k", "no_revision_available"),
|
| 138 |
+
("chcaa__dfm-encoder-large-v1", "no_revision_available"),
|
| 139 |
+
("dangvantuan__sentence-camembert-base", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
|
|
|
| 140 |
("dangvantuan__sentence-camembert-large", "no_revision_available"),
|
| 141 |
+
("deepfile__embedder-100p", "no_revision_available"),
|
| 142 |
+
("deepset__gbert-base", "no_revision_available"),
|
| 143 |
+
("deepset__gbert-large", "no_revision_available"),
|
| 144 |
+
("deepset__gelectra-base", "no_revision_available"),
|
| 145 |
("deepset__gelectra-large", "no_revision_available"),
|
| 146 |
+
("distilbert__distilbert-base-uncased", "no_revision_available"),
|
| 147 |
+
("dwzhu__e5-base-4k", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 148 |
("elastic__elser-v2", "no_revision_available"),
|
| 149 |
+
("facebook__contriever", "2bd46a25019aeea091fd42d1f0fd4801675cf699"),
|
| 150 |
("facebook__contriever-instruct", "2bd46a25019aeea091fd42d1f0fd4801675cf699"),
|
| 151 |
+
("facebook__dpr-ctx_encoder-multiset-base", "no_revision_available"),
|
| 152 |
+
("facebook__dragon-plus-context-encoder", "no_revision_available"),
|
| 153 |
+
("facebook__tart-full-flan-t5-xl", "no_revision_available"),
|
| 154 |
+
("facebookresearch__LASER2", "no_revision_available"),
|
| 155 |
+
("facebookresearch__dragon-plus", "no_revision_available"),
|
| 156 |
+
("facebookresearch__dragon-plus-instruct", "no_revision_available"),
|
| 157 |
+
("intfloat__e5-base", "no_revision_available"),
|
| 158 |
+
("intfloat__e5-base-v2", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 159 |
("intfloat__e5-large", "no_revision_available"),
|
| 160 |
+
("intfloat__e5-large-v2", "no_revision_available"),
|
| 161 |
+
("intfloat__e5-mistral-7b-instruct", "no_revision_available"),
|
| 162 |
+
(
|
| 163 |
+
"intfloat__e5-mistral-7b-instruct-noinstruct",
|
| 164 |
+
"07163b72af1488142a360786df853f237b1a3ca1",
|
| 165 |
+
),
|
| 166 |
+
("intfloat__e5-small", "no_revision_available"),
|
| 167 |
+
("intfloat__multilingual-e5-base", "no_revision_available"),
|
| 168 |
+
("intfloat__multilingual-e5-large", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 169 |
("intfloat__multilingual-e5-small", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
| 170 |
("ipipan__herbert-base-retrieval-v2", "no_revision_available"),
|
| 171 |
+
("ipipan__silver-retriever-base-v1", "no_revision_available"),
|
| 172 |
("izhx__udever-bloom-1b1", "no_revision_available"),
|
| 173 |
+
("izhx__udever-bloom-560m", "no_revision_available"),
|
| 174 |
+
("jhu-clsp__FollowIR-7B", "no_revision_available"),
|
| 175 |
+
("jinaai__jina-embeddings-v2-base-en", "no_revision_available"),
|
| 176 |
+
("jonfd__electra-small-nordic", "no_revision_available"),
|
| 177 |
+
("ltg__norbert3-base", "no_revision_available"),
|
| 178 |
("ltg__norbert3-large", "no_revision_available"),
|
| 179 |
+
("meta-llama__llama-2-7b-chat", "no_revision_available"),
|
| 180 |
+
("mistral__mistral-embed", "no_revision_available"),
|
| 181 |
+
("mistralai__mistral-7b-instruct-v0.2", "no_revision_available"),
|
| 182 |
+
("moka-ai__m3e-base", "no_revision_available"),
|
| 183 |
+
("moka-ai__m3e-large", "no_revision_available"),
|
| 184 |
+
("nomic-ai__nomic-embed-text-v1", "no_revision_available"),
|
| 185 |
+
("nomic-ai__nomic-embed-text-v1.5-128", "no_revision_available"),
|
| 186 |
+
("nomic-ai__nomic-embed-text-v1.5-256", "no_revision_available"),
|
| 187 |
+
("nomic-ai__nomic-embed-text-v1.5-512", "no_revision_available"),
|
| 188 |
("nomic-ai__nomic-embed-text-v1.5-64", "no_revision_available"),
|
| 189 |
+
("nthakur__contriever-base-msmarco", "no_revision_available"),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 190 |
("openai__text-embedding-3-large-256", "no_revision_available"),
|
| 191 |
+
("openai__text-embedding-3-large-instruct", "no_revision_available"),
|
| 192 |
+
("openai__text-embedding-3-small-instruct", "no_revision_available"),
|
| 193 |
+
("openai__text-embedding-ada-002", "no_revision_available"),
|
| 194 |
+
("openai__text-embedding-ada-002-instruct", "no_revision_available"),
|
| 195 |
+
("openai__text-search-ada-001", "no_revision_available"),
|
| 196 |
+
("openai__text-search-ada-doc-001", "no_revision_available"),
|
| 197 |
+
("openai__text-search-babbage-001", "no_revision_available"),
|
| 198 |
+
("openai__text-search-curie-001", "no_revision_available"),
|
| 199 |
+
("openai__text-search-davinci-001", "no_revision_available"),
|
| 200 |
+
("openai__text-similarity-ada-001", "no_revision_available"),
|
| 201 |
+
("openai__text-similarity-babbage-001", "no_revision_available"),
|
| 202 |
+
("openai__text-similarity-curie-001", "no_revision_available"),
|
| 203 |
+
("openai__text-similarity-davinci-001", "no_revision_available"),
|
| 204 |
+
("orionweller__tart-dual-contriever-msmarco", "no_revision_available"),
|
| 205 |
+
("princeton-nlp__sup-simcse-bert-base-uncased", "no_revision_available"),
|
| 206 |
("princeton-nlp__unsup-simcse-bert-base-uncased", "no_revision_available"),
|
| 207 |
+
("sdadas__st-polish-paraphrase-from-distilroberta", "no_revision_available"),
|
| 208 |
+
("sdadas__st-polish-paraphrase-from-mpnet", "no_revision_available"),
|
| 209 |
+
("sentence-transformers__LaBSE", "no_revision_available"),
|
| 210 |
+
("sentence-transformers__all-MiniLM-L6-v2", "no_revision_available"),
|
| 211 |
(
|
| 212 |
+
"sentence-transformers__all-MiniLM-L6-v2-instruct",
|
| 213 |
+
"8b3219a92973c328a8e22fadcfa821b5dc75636a",
|
| 214 |
),
|
| 215 |
+
(
|
| 216 |
+
"sentence-transformers__all-mpnet-base-v2-instruct",
|
| 217 |
+
"84f2bcc00d77236f9e89c8a360a00fb1139bf47d",
|
| 218 |
+
),
|
| 219 |
+
("sentence-transformers__allenai-specter", "no_revision_available"),
|
| 220 |
+
(
|
| 221 |
+
"sentence-transformers__average_word_embeddings_glove.6B.300d",
|
| 222 |
+
"no_revision_available",
|
| 223 |
+
),
|
| 224 |
+
(
|
| 225 |
+
"sentence-transformers__average_word_embeddings_komninos",
|
| 226 |
+
"no_revision_available",
|
| 227 |
+
),
|
| 228 |
+
("sentence-transformers__distiluse-base-multilingual-cased-v2", ".gitkeep"),
|
| 229 |
+
(
|
| 230 |
+
"sentence-transformers__distiluse-base-multilingual-cased-v2",
|
| 231 |
+
"no_revision_available",
|
| 232 |
+
),
|
| 233 |
+
("sentence-transformers__gtr-t5-base", "no_revision_available"),
|
| 234 |
+
("sentence-transformers__gtr-t5-large", "no_revision_available"),
|
| 235 |
+
("sentence-transformers__gtr-t5-xl", "no_revision_available"),
|
| 236 |
("sentence-transformers__gtr-t5-xxl", "no_revision_available"),
|
| 237 |
+
("sentence-transformers__msmarco-bert-co-condensor", "no_revision_available"),
|
| 238 |
+
("sentence-transformers__multi-qa-MiniLM-L6-cos-v1", "no_revision_available"),
|
| 239 |
+
(
|
| 240 |
+
"sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2",
|
| 241 |
+
"no_revision_available",
|
| 242 |
+
),
|
| 243 |
(
|
| 244 |
"sentence-transformers__paraphrase-multilingual-mpnet-base-v2",
|
| 245 |
+
"no_revision_available",
|
| 246 |
+
),
|
| 247 |
+
("sentence-transformers__sentence-t5-base", "no_revision_available"),
|
| 248 |
+
("sentence-transformers__sentence-t5-large", "no_revision_available"),
|
| 249 |
+
("sentence-transformers__sentence-t5-xl", "no_revision_available"),
|
| 250 |
+
("sentence-transformers__sentence-t5-xxl", "no_revision_available"),
|
| 251 |
+
("sentence-transformers__use-cmlm-multilingual", "no_revision_available"),
|
| 252 |
+
("shibing624__text2vec-base-chinese", "no_revision_available"),
|
| 253 |
+
("shibing624__text2vec-base-multilingual", "no_revision_available"),
|
| 254 |
+
("shibing624__text2vec-large-chinese", "no_revision_available"),
|
| 255 |
+
("silk-road__luotuo-bert-medium", "no_revision_available"),
|
| 256 |
+
("uklfr__gottbert-base", "no_revision_available"),
|
| 257 |
+
("vesteinn__DanskBERT", "no_revision_available"),
|
| 258 |
+
("voyageai__voyage-2", "no_revision_available"),
|
| 259 |
+
("voyageai__voyage-code-2", "no_revision_available"),
|
| 260 |
+
("voyageai__voyage-large-2-instruct", "no_revision_available"),
|
| 261 |
+
("voyageai__voyage-law-2", "no_revision_available"),
|
| 262 |
+
("voyageai__voyage-lite-01-instruct", "no_revision_available"),
|
| 263 |
+
("voyageai__voyage-lite-02-instruct", "no_revision_available"),
|
| 264 |
+
("voyageai__voyage-multilingual-2", "no_revision_available"),
|
| 265 |
+
("vprelovac__universal-sentence-encoder-multilingual-3", "no_revision_available"),
|
| 266 |
+
(
|
| 267 |
+
"vprelovac__universal-sentence-encoder-multilingual-large-3",
|
| 268 |
+
"no_revision_available",
|
| 269 |
),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 270 |
]
|
| 271 |
|
| 272 |
+
model_rev_pairs = [
|
| 273 |
+
(model_folder, rev_folder)
|
| 274 |
+
for model_folder in results_folder.glob("*")
|
| 275 |
+
for rev_folder in model_folder.glob("*")
|
| 276 |
+
if model_folder.name not in [".DS_Store"] and rev_folder.name not in [".DS_Store"]
|
| 277 |
+
]
|
| 278 |
+
pairs_no_meta = [
|
| 279 |
+
(pair[0].name, pair[1].name)
|
| 280 |
+
for pair in model_rev_pairs
|
| 281 |
+
if not (pair[1] / "model_meta.json").exists()
|
| 282 |
+
]
|
| 283 |
+
pairs_no_meta.sort()
|
| 284 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 285 |
|
| 286 |
+
p = [p for p in model_rev_pairs if "Haon-Chen" in p[0].name][0][1]/ "model_meta.json"
|
| 287 |
+
p.exists()
|
|
|
|
|
|
|
|
|
|
|
|
tests/test_ensure_correct_metadata.py
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
|
| 3 |
+
import pytest
|
| 4 |
+
|
| 5 |
+
from tests.test_correct_folder_structure import folders_without_meta, results_folder
|
| 6 |
+
|
| 7 |
+
model_rev_pairs = [
|
| 8 |
+
(model_folder, rev_folder)
|
| 9 |
+
for model_folder in results_folder.glob("*")
|
| 10 |
+
for rev_folder in model_folder.glob("*")
|
| 11 |
+
if model_folder.name not in [".DS_Store"]
|
| 12 |
+
and rev_folder.name not in [".DS_Store"]
|
| 13 |
+
and ((model_folder.name, rev_folder.name) not in folders_without_meta)
|
| 14 |
+
]
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
@pytest.mark.parametrize("model_rev_pair", model_rev_pairs)
|
| 18 |
+
def test_model_meta_in_folders(model_rev_pair):
|
| 19 |
+
"""
|
| 20 |
+
Models added after the 26th of November should contain a model_meta.json file
|
| 21 |
+
"""
|
| 22 |
+
model_folder, rev_folder = model_rev_pair
|
| 23 |
+
|
| 24 |
+
meta_file = rev_folder / "model_meta.json"
|
| 25 |
+
assert meta_file.exists()
|
| 26 |
+
assert meta_file.is_file()
|
| 27 |
+
assert meta_file.parent == rev_folder
|
| 28 |
+
assert meta_file.suffix == ".json"
|
| 29 |
+
assert meta_file.stem == "model_meta"
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
# please do not add to this list, this is only for historic results, all new results should include a revision ID
|
| 33 |
+
revision_exceptions = [
|
| 34 |
+
("castorini__mdpr-tied-pft-msmarco", "no_revision_available"),
|
| 35 |
+
("voyageai__voyage-3", "no_revision_available"),
|
| 36 |
+
("sentence-transformers__all-mpnet-base-v2", "no_revision_available"),
|
| 37 |
+
("Snowflake__snowflake-arctic-embed-m-v1.5", "no_revision_available"),
|
| 38 |
+
("sentence-transformers__all-MiniLM-L12-v2", "no_revision_available"),
|
| 39 |
+
("nthakur__mcontriever-base-msmarco", "no_revision_available"),
|
| 40 |
+
('voyageai__voyage-3-lite', 'no_revision_available')
|
| 41 |
+
]
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
@pytest.mark.parametrize("model_rev_pair", model_rev_pairs)
|
| 45 |
+
def test_revision_is_specified_for_new_additions(model_rev_pair):
|
| 46 |
+
"""
|
| 47 |
+
Models added after 26th of November should include a revision ID and can not use the "no_revision_available" fallback.
|
| 48 |
+
"""
|
| 49 |
+
model_folder, rev_folder = model_rev_pair
|
| 50 |
+
if (model_folder.name, rev_folder.name) not in revision_exceptions:
|
| 51 |
+
meta_file = rev_folder / "model_meta.json"
|
| 52 |
+
with meta_file.open("r") as f:
|
| 53 |
+
meta = json.load(f)
|
| 54 |
+
assert meta["revision"].lower() not in [
|
| 55 |
+
"no_revision_available",
|
| 56 |
+
"",
|
| 57 |
+
"na",
|
| 58 |
+
"no-revision-available",
|
| 59 |
+
]
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
@pytest.mark.parametrize("model_rev_pair", model_rev_pairs)
|
| 63 |
+
def test_organization_is_specified_for_new_additions(model_rev_pair):
|
| 64 |
+
"""
|
| 65 |
+
Models added after 26th of November should include a organization ID within their name, e.g. "myorg/my_embedding_model".
|
| 66 |
+
|
| 67 |
+
This is to avoid mispecified names such as "myorg__my_embedding_model" and similar.
|
| 68 |
+
"""
|
| 69 |
+
model_folder, rev_folder = model_rev_pair
|
| 70 |
+
meta_file = rev_folder / "model_meta.json"
|
| 71 |
+
with meta_file.open("r") as f:
|
| 72 |
+
meta = json.load(f)
|
| 73 |
+
assert "/" in meta["name"]
|