From e6abf58ac0e08c5b88c5e7237ef1b0ce0119d76c Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Thu, 5 Sep 2024 20:48:00 +0300 Subject: [PATCH 01/18] fix models path --- .gitignore | 1 + paths.json | 23525 +++++++++++++++++------------------ results.py | 33 +- tests/test_load_results.py | 9 + 4 files changed, 11711 insertions(+), 11857 deletions(-) diff --git a/.gitignore b/.gitignore index 3bcd8efa4..be203d0f7 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,6 @@ # python __pycache__ +.venv # vscode .vscode/ diff --git a/paths.json b/paths.json index d0f861b65..6f2c8929d 100644 --- a/paths.json +++ b/paths.json @@ -29,7 +29,7 @@ "results/sentence-camembert-base/no_revision_available/XPQARetrieval.json", "results/sentence-camembert-base/no_revision_available/STSBenchmarkMultilingualSTS.json" ], - "ai-forever__sbert_large_nlu_ru": [ + "sbert_large_nlu_ru": [ "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/RuBQRetrieval.json", "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/MassiveIntentClassification.json", "results/ai-forever__sbert_large_nlu_ru/af977d5dfa46a3635e29bf0ef383f2df2a08d47a/InappropriatenessClassification.json", @@ -363,11236 +363,4913 @@ "results/paraphrase-multilingual-MiniLM-L12-v2/no_revision_available/CQADupstackWordpressRetrieval.json", "results/paraphrase-multilingual-MiniLM-L12-v2/no_revision_available/XPQARetrieval.json", "results/paraphrase-multilingual-MiniLM-L12-v2/no_revision_available/STSBenchmarkMultilingualSTS.json", - "results/paraphrase-multilingual-MiniLM-L12-v2/no_revision_available/StackOverflowDupQuestions.json" - ], - "jina-embeddings-v2-base-en": [ - "results/jina-embeddings-v2-base-en/no_revision_available/LEMBWikimQARetrieval.json", - "results/jina-embeddings-v2-base-en/no_revision_available/LEMBSummScreenFDRetrieval.json", - 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"results/LaBSE/no_revision_available/CQADupstackPhysicsRetrieval.json", - "results/LaBSE/no_revision_available/CQADupstackWordpressRetrieval.json", - "results/LaBSE/no_revision_available/XPQARetrieval.json", - "results/LaBSE/no_revision_available/STSBenchmarkMultilingualSTS.json", - "results/LaBSE/no_revision_available/StackOverflowDupQuestions.json" - ], "unsup-simcse-bert-base-uncased": [ "results/unsup-simcse-bert-base-uncased/no_revision_available/MassiveIntentClassification.json", "results/unsup-simcse-bert-base-uncased/no_revision_available/BiorxivClusteringP2P.json", @@ -14682,127 +14637,6 @@ "results/voyage-code-2/no_revision_available/XPQARetrieval.json", "results/voyage-code-2/no_revision_available/STSBenchmarkMultilingualSTS.json" ], - "paraphrase-multilingual-mpnet-base-v2": [ - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/PSC.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/NFCorpus-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MassiveIntentClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MLSUMClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AlloProfClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BiorxivClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/EmotionClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackGisRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackEnglishRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CDSC-R.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MSMARCO-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SyntecReranking.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BSARDRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TweetSentimentExtractionClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/DBPedia-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/PolEmo2.0-OUT.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SciFact.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/Banking77Classification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/Tatoeba.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackProgrammersRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/FiQA-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS14.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STSBenchmark.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AllegroReviews.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/DiaBLaBitextMining.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SciDocsRR.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SciFact-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/8TagsClustering.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MindSmallReranking.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MedrxivClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SCIDOCS.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BlurbsClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MintakaRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/Touche2020.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS16.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TRECCOVID-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackTexRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SICK-R-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SyntecRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CDSC-E.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ImdbClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SprintDuplicateQuestions.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MLSUMClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ToxicConversationsClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MassiveScenarioClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ArguAna-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS17.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CBD.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MasakhaNEWSClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackUnixRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AskUbuntuDupQuestions.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackAndroidRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/HotpotQA.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ArxivClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/StackExchangeClustering.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/RedditClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AlloprofRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/PolEmo2.0-IN.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AlloprofReranking.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/FloresBitextMining.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/NQ.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/RedditClustering.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SICK-R.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/FiQA2018.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SummEvalFr.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BIOSSES.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TRECCOVID.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TenKGnadClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/DBPedia.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BiorxivClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AlloProfClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/HotpotQA-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/PAC.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ArguAna.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MasakhaNEWSClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SICK-E-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BUCC.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ArxivClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/Quora-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TwitterURLCorpus.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS22.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AmazonReviewsClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackGamingRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/NFCorpus.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS15.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AmazonPolarityClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/NQ-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SCIDOCS-PL.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MTOPIntentClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/HALClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS13.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SummEval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/ClimateFEVER.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MasakhaNEWSClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackStatsRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TwitterSemEval2015.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackWebmastersRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/PPC.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MedrxivClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TwentyNewsgroupsClustering.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/TenKGnadClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/FEVER.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/OpusparcusPC.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MSMARCO.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/MTOPDomainClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/QuoraRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/BlurbsClusteringS2S.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/SICKFr.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STS12.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/AmazonCounterfactualClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackMathematicaRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/PawsXPairClassification.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/StackExchangeClusteringP2P.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackPhysicsRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/CQADupstackWordpressRetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/XPQARetrieval.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/STSBenchmarkMultilingualSTS.json", - "results/paraphrase-multilingual-mpnet-base-v2/no_revision_available/StackOverflowDupQuestions.json" - ], "nomic-embed-text-v1.5-64": [ "results/nomic-embed-text-v1.5-64/no_revision_available/MassiveIntentClassification.json", "results/nomic-embed-text-v1.5-64/no_revision_available/BiorxivClusteringP2P.json", @@ -14884,7 +14718,7 @@ "results/gottbert-base/no_revision_available/TenKGnadClusteringP2P.json", "results/gottbert-base/no_revision_available/BlurbsClusteringS2S.json" ], - "mixedbread-ai__mxbai-embed-large-v1": [ + "mxbai-embed-large-v1": [ "results/mixedbread-ai__mxbai-embed-large-v1/990580e27d329c7408b3741ecff85876e128e203/StackExchangeClustering.v2.json", "results/mixedbread-ai__mxbai-embed-large-v1/990580e27d329c7408b3741ecff85876e128e203/RedditClusteringP2P.v2.json", "results/mixedbread-ai__mxbai-embed-large-v1/990580e27d329c7408b3741ecff85876e128e203/BiorxivClusteringP2P.json", @@ -14945,9 +14779,6 @@ "results/gbert-large/no_revision_available/TenKGnadClusteringP2P.json", "results/gbert-large/no_revision_available/BlurbsClusteringS2S.json" ], - "SGPT-125M-weightedmean-msmarco-specb-bitfit-doc": [ - "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-doc/no_revision_available/TRECCOVID.json" - ], "bert-base-10lang-cased": [ "results/bert-base-10lang-cased/no_revision_available/MassiveIntentClassification.json", "results/bert-base-10lang-cased/no_revision_available/MLSUMClusteringP2P.json", @@ -15066,7 +14897,7 @@ "results/all-MiniLM-L6-v2-instruct/8b3219a92973c328a8e22fadcfa821b5dc75636a/TempReasonL3Fact.json", "results/all-MiniLM-L6-v2-instruct/8b3219a92973c328a8e22fadcfa821b5dc75636a/RARbCode.json" ], - "intfloat__e5-small-v2": [ + "e5-small-v2": [ "results/intfloat__e5-small-v2/dca8b1a9dae0d4575df2bf423a5edb485a431236/StackExchangeClustering.v2.json", "results/intfloat__e5-small-v2/dca8b1a9dae0d4575df2bf423a5edb485a431236/RedditClusteringP2P.v2.json", "results/intfloat__e5-small-v2/dca8b1a9dae0d4575df2bf423a5edb485a431236/BiorxivClusteringP2P.json", @@ -15086,7 +14917,7 @@ "results/intfloat__e5-small-v2/dca8b1a9dae0d4575df2bf423a5edb485a431236/TwentyNewsgroupsClustering.json", "results/intfloat__e5-small-v2/dca8b1a9dae0d4575df2bf423a5edb485a431236/StackExchangeClusteringP2P.json" ], - "deepvk__USER-base": [ + "USER-base": [ "results/deepvk__USER-base/436a489a2087d61aa670b3496a9915f84e46c861/RuBQRetrieval.json", "results/deepvk__USER-base/436a489a2087d61aa670b3496a9915f84e46c861/MassiveIntentClassification.json", "results/deepvk__USER-base/436a489a2087d61aa670b3496a9915f84e46c861/InappropriatenessClassification.json", diff --git a/results.py b/results.py index 7a33f4102..aa6052984 100644 --- a/results.py +++ b/results.py @@ -1,6 +1,7 @@ """MTEB Results""" import json +import os import datasets @@ -55,7 +56,6 @@ "DanskBERT", "FollowIR-7B", "GritLM-7B", - "GritLM-7B-noinstruct", "LASER2", "LLM2Vec-Llama-2-supervised", "LLM2Vec-Llama-2-unsupervised", @@ -106,7 +106,6 @@ "contriever-base-msmarco", "cross-en-de-roberta-sentence-transformer", "dfm-encoder-large-v1", - "dfm-sentence-encoder-large-1", "distilbert-base-25lang-cased", "distilbert-base-en-fr-cased", "distilbert-base-en-fr-es-pt-it-cased", @@ -193,14 +192,17 @@ "sentence-t5-large", "sentence-t5-xl", "sentence-t5-xxl", - "sentence-transformers__LaBSE", - "sentence-transformers__all-MiniLM-L12-v2", - "sentence-transformers__all-MiniLM-L6-v2", - "sentence-transformers__all-mpnet-base-v2", - "sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2", - "sentence-transformers__paraphrase-multilingual-mpnet-base-v2", + "all-MiniLM-L12-v2", "sgpt-bloom-1b7-nli", "sgpt-bloom-7b1-msmarco", + "SGPT-125M-weightedmean-nli-bitfit", + "SGPT-1.3B-weightedmean-msmarco-specb-bitfit", + "SGPT-5.8B-weightedmean-msmarco-specb-bitfit-que", + "SGPT-5.8B-weightedmean-msmarco-specb-bitfit", + "SGPT-5.8B-weightedmean-nli-bitfit", + "SGPT-2.7B-weightedmean-msmarco-specb-bitfit", + "text-embedding-preview-0409-768", + "SGPT-125M-weightedmean-msmarco-specb-bitfit", "silver-retriever-base-v1", "st-polish-paraphrase-from-distilroberta", "st-polish-paraphrase-from-mpnet", @@ -254,6 +256,13 @@ ] +def get_model_for_current_dir(dir_name: str) -> str | None: + for model in MODELS: + if model == dir_name or ("__" in dir_name and dir_name.split("__")[1] == model): + return model + return None + + # Needs to be run whenever new files are added def get_paths(): import collections, json, os @@ -263,13 +272,17 @@ def get_paths(): if not os.path.isdir(results_model_dir): print(f"Skipping {results_model_dir}") continue + model_name = get_model_for_current_dir(model_dir) + if model_name is None: + print(f"Skipping {model_dir}") + continue for revision_folder in os.listdir(results_model_dir): if not os.path.isdir(os.path.join(results_model_dir, revision_folder)): continue for res_file in os.listdir(os.path.join(results_model_dir, revision_folder)): if (res_file.endswith(".json")) and not(res_file.endswith(("overall_results.json", "model_meta.json"))): results_model_file = os.path.join(results_model_dir, revision_folder, res_file) - files[model_dir].append(results_model_file) + files[model_name].append(results_model_file) with open("paths.json", "w") as f: json.dump(files, f, indent=2) return files @@ -305,7 +318,7 @@ def _info(self): def _split_generators(self, dl_manager): path_file = dl_manager.download_and_extract(URL) - # Local debugging: + # Change path for local development with open(path_file) as f: files = json.load(f) downloaded_files = dl_manager.download_and_extract(files[self.config.name]) diff --git a/tests/test_load_results.py b/tests/test_load_results.py index 994fc50d5..42a7e8793 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -1,6 +1,9 @@ import os from pathlib import Path +import pytest +from datasets import load_dataset +from results import MODELS import mteb @@ -24,3 +27,9 @@ def test_load_results(): known_revision = "bf3bf13ab40c3157080a7ab344c831b9ad18b5eb" assert known_model in results assert known_revision in results[known_model] + + +@pytest.mark.parametrize("model", MODELS) +def test_load_results(model): + path = os.path.join(os.path.dirname(__file__), "..", "results.py") + ds = load_dataset(path, model, trust_remote_code=True) From 76d9818489fc71459ae0902fd9612757cae10c1b Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Thu, 5 Sep 2024 21:13:29 +0300 Subject: [PATCH 02/18] fix test --- __init__.py | 0 tests/__init__.py | 0 tests/test_load_results.py | 5 +++-- 3 files changed, 3 insertions(+), 2 deletions(-) create mode 100644 __init__.py create mode 100644 tests/__init__.py diff --git a/__init__.py b/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/test_load_results.py b/tests/test_load_results.py index 42a7e8793..a110d6769 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -4,6 +4,7 @@ import pytest from datasets import load_dataset from results import MODELS + import mteb @@ -31,5 +32,5 @@ def test_load_results(): @pytest.mark.parametrize("model", MODELS) def test_load_results(model): - path = os.path.join(os.path.dirname(__file__), "..", "results.py") - ds = load_dataset(path, model, trust_remote_code=True) + path = Path(__file__).parent.parent / "results.py" + ds = load_dataset(str(path.absolute()), model, trust_remote_code=True) From 7dc5df00074c2f0872dbdc9f895a7af12d182929 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Thu, 5 Sep 2024 21:17:48 +0300 Subject: [PATCH 03/18] add last models --- paths.json | 143 +++++++++++++++++++++++++++++++++++++++++++++++++++++ results.py | 5 +- 2 files changed, 147 insertions(+), 1 deletion(-) diff --git a/paths.json b/paths.json index 6f2c8929d..3703ab08c 100644 --- a/paths.json +++ b/paths.json @@ -6263,6 +6263,76 @@ "results/nb-bert-large/no_revision_available/LccSentimentClassification.json", "results/nb-bert-large/no_revision_available/DalajClassification.json" ], + "facebookdragon-plus-context-encoder": [ + "results/facebookdragon-plus-context-encoder/no_revision_available/MassiveIntentClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/BiorxivClusteringP2P.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/EmotionClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackGisRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackEnglishRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/TweetSentimentExtractionClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/SciFact.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/Banking77Classification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackProgrammersRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS14.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STSBenchmark.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/SciDocsRR.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MindSmallReranking.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MedrxivClusteringS2S.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/SCIDOCS.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/Touche2020.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS16.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackTexRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/ImdbClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/SprintDuplicateQuestions.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/ToxicConversationsClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MassiveScenarioClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS17.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackUnixRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/AskUbuntuDupQuestions.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackAndroidRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/HotpotQA.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/ArxivClusteringS2S.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/StackExchangeClustering.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/RedditClusteringP2P.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/NQ.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/RedditClustering.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/SICK-R.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/FiQA2018.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/BIOSSES.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/TRECCOVID.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/DBPedia.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/BiorxivClusteringS2S.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/ArguAna.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/ArxivClusteringP2P.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/TwitterURLCorpus.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS22.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/AmazonReviewsClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackGamingRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/NFCorpus.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS15.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/AmazonPolarityClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MTOPIntentClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS13.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/SummEval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/ClimateFEVER.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackStatsRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/TwitterSemEval2015.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackWebmastersRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MedrxivClusteringP2P.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/TwentyNewsgroupsClustering.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/FEVER.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MSMARCO.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/MTOPDomainClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/QuoraRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/STS12.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/AmazonCounterfactualClassification.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackMathematicaRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/StackExchangeClusteringP2P.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackPhysicsRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/CQADupstackWordpressRetrieval.json", + "results/facebookdragon-plus-context-encoder/no_revision_available/StackOverflowDupQuestions.json" + ], "distiluse-base-multilingual-cased-v2": [ "results/distiluse-base-multilingual-cased-v2/no_revision_available/PSC.json", "results/distiluse-base-multilingual-cased-v2/no_revision_available/NFCorpus-PL.json", @@ -14134,6 +14204,76 @@ "results/llama-2-7b-chat/no_revision_available/News21InstructionRetrieval.json", "results/llama-2-7b-chat/no_revision_available/Core17InstructionRetrieval.json" ], + "SGPT-125M-weightedmean-msmarco-specb-bitfit-que": [ + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MassiveIntentClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/BiorxivClusteringP2P.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/EmotionClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackGisRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackEnglishRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/TweetSentimentExtractionClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/SciFact.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/Banking77Classification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackProgrammersRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS14.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STSBenchmark.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/SciDocsRR.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MindSmallReranking.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MedrxivClusteringS2S.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/SCIDOCS.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/Touche2020.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS16.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackTexRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/ImdbClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/SprintDuplicateQuestions.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/ToxicConversationsClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MassiveScenarioClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS17.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackUnixRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/AskUbuntuDupQuestions.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackAndroidRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/HotpotQA.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/ArxivClusteringS2S.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/StackExchangeClustering.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/RedditClusteringP2P.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/NQ.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/RedditClustering.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/SICK-R.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/FiQA2018.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/BIOSSES.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/TRECCOVID.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/DBPedia.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/BiorxivClusteringS2S.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/ArguAna.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/ArxivClusteringP2P.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/TwitterURLCorpus.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS22.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/AmazonReviewsClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackGamingRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/NFCorpus.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS15.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/AmazonPolarityClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MTOPIntentClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS13.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/SummEval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/ClimateFEVER.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackStatsRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/TwitterSemEval2015.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackWebmastersRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MedrxivClusteringP2P.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/TwentyNewsgroupsClustering.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/FEVER.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MSMARCO.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/MTOPDomainClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/QuoraRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/STS12.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/AmazonCounterfactualClassification.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackMathematicaRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/StackExchangeClusteringP2P.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackPhysicsRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/CQADupstackWordpressRetrieval.json", + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-que/no_revision_available/StackOverflowDupQuestions.json" + ], "nomic-embed-text-v1": [ "results/nomic-embed-text-v1/no_revision_available/LEMBWikimQARetrieval.json", "results/nomic-embed-text-v1/no_revision_available/LEMBSummScreenFDRetrieval.json", @@ -14779,6 +14919,9 @@ "results/gbert-large/no_revision_available/TenKGnadClusteringP2P.json", "results/gbert-large/no_revision_available/BlurbsClusteringS2S.json" ], + "SGPT-125M-weightedmean-msmarco-specb-bitfit-doc": [ + "results/SGPT-125M-weightedmean-msmarco-specb-bitfit-doc/no_revision_available/TRECCOVID.json" + ], "bert-base-10lang-cased": [ "results/bert-base-10lang-cased/no_revision_available/MassiveIntentClassification.json", "results/bert-base-10lang-cased/no_revision_available/MLSUMClusteringP2P.json", diff --git a/results.py b/results.py index aa6052984..720be5082 100644 --- a/results.py +++ b/results.py @@ -128,6 +128,7 @@ "elser-v2", "embedder-100p", "facebook-dpr-ctx_encoder-multiset-base", + "facebookdragon-plus-context-encoder", "flan-t5-base", "flan-t5-large", "flaubert_base_cased", @@ -201,6 +202,8 @@ "SGPT-5.8B-weightedmean-msmarco-specb-bitfit", "SGPT-5.8B-weightedmean-nli-bitfit", "SGPT-2.7B-weightedmean-msmarco-specb-bitfit", + "SGPT-125M-weightedmean-msmarco-specb-bitfit-que", + "SGPT-125M-weightedmean-msmarco-specb-bitfit-doc", "text-embedding-preview-0409-768", "SGPT-125M-weightedmean-msmarco-specb-bitfit", "silver-retriever-base-v1", @@ -274,7 +277,7 @@ def get_paths(): continue model_name = get_model_for_current_dir(model_dir) if model_name is None: - print(f"Skipping {model_dir}") + print(f"Skipping {model_dir} model dir") continue for revision_folder in os.listdir(results_model_dir): if not os.path.isdir(os.path.join(results_model_dir, revision_folder)): From 2b0777cefab0a125a7930754d09cd1c1b791c9dd Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Thu, 5 Sep 2024 21:20:19 +0300 Subject: [PATCH 04/18] fix CI test --- __init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/__init__.py b/__init__.py index e69de29bb..f4019dace 100644 --- a/__init__.py +++ b/__init__.py @@ -0,0 +1 @@ +from results import MODELS From 98e85eb80f37d7ab9e922d159e66740be521448e Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Thu, 5 Sep 2024 21:32:07 +0300 Subject: [PATCH 05/18] try tests --- __init__.py | 1 - tests/test_load_results.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/__init__.py b/__init__.py index f4019dace..e69de29bb 100644 --- a/__init__.py +++ b/__init__.py @@ -1 +0,0 @@ -from results import MODELS diff --git a/tests/test_load_results.py b/tests/test_load_results.py index a110d6769..9dcba8a5b 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -3,7 +3,7 @@ import pytest from datasets import load_dataset -from results import MODELS +from results.results import MODELS import mteb From 12de698b16357ffc935a556a712910ae44f1b2a2 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Thu, 5 Sep 2024 21:37:41 +0300 Subject: [PATCH 06/18] add comment --- tests/test_load_results.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tests/test_load_results.py b/tests/test_load_results.py index 9dcba8a5b..444b965bd 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -3,6 +3,7 @@ import pytest from datasets import load_dataset +# for CI this should be `results.results`, for local just `results` from results.results import MODELS import mteb @@ -31,6 +32,7 @@ def test_load_results(): @pytest.mark.parametrize("model", MODELS) -def test_load_results(model): +def test_load_results_from_datasets(model): + """Ensures that all models can be imported from dataset""" path = Path(__file__).parent.parent / "results.py" ds = load_dataset(str(path.absolute()), model, trust_remote_code=True) From ba7075a4e3c69cfce153d0aba6da4eac0258e903 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Fri, 6 Sep 2024 16:33:08 +0300 Subject: [PATCH 07/18] remove __init__ --- __init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 __init__.py diff --git a/__init__.py b/__init__.py deleted file mode 100644 index e69de29bb..000000000 From 13fc09340315c7987f7ac1da473cfaf393431ff6 Mon Sep 17 00:00:00 2001 From: Roman Solomatin Date: Fri, 6 Sep 2024 18:29:34 +0300 Subject: [PATCH 08/18] Update results.py Co-authored-by: Kenneth Enevoldsen --- results.py | 1 - 1 file changed, 1 deletion(-) diff --git a/results.py b/results.py index 720be5082..7146c0b07 100644 --- a/results.py +++ b/results.py @@ -321,7 +321,6 @@ def _info(self): def _split_generators(self, dl_manager): path_file = dl_manager.download_and_extract(URL) - # Change path for local development with open(path_file) as f: files = json.load(f) downloaded_files = dl_manager.download_and_extract(files[self.config.name]) From 2ab6aa1499c216022ddbc9af17cdbf430325849d Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Fri, 6 Sep 2024 18:33:18 +0300 Subject: [PATCH 09/18] upd pahts --- paths.json | 30756 +++++++++++++++++++++++++-------------------------- 1 file changed, 15365 insertions(+), 15391 deletions(-) diff --git a/paths.json b/paths.json index 9e31d4634..d8badf93b 100644 --- a/paths.json +++ b/paths.json @@ -1,15543 +1,15517 @@ { - "text-search-davinci-001": [ - "results/text-search-davinci-001/no_revision_available/NFCorpus.json", - "results/text-search-davinci-001/no_revision_available/ArguAna.json", - "results/text-search-davinci-001/no_revision_available/HotpotQA.json", - "results/text-search-davinci-001/no_revision_available/Touche2020.json", - "results/text-search-davinci-001/no_revision_available/ClimateFEVER.json", - "results/text-search-davinci-001/no_revision_available/FiQA2018.json", - "results/text-search-davinci-001/no_revision_available/FEVER.json", - "results/text-search-davinci-001/no_revision_available/QuoraRetrieval.json", - "results/text-search-davinci-001/no_revision_available/TRECCOVID.json", - "results/text-search-davinci-001/no_revision_available/SciFact.json" - ], - "LLM2Vec-Llama-2-unsupervised": [ - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/MedrxivClusteringP2P.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/STS13.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/ArxivClusteringP2P.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/AmazonReviewsClassification.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/MTOPDomainClassification.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/CQADupstackMathematicaRetrieval.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/AmazonCounterfactualClassification.json", - "results/LLM2Vec-Llama-2-unsupervised/no_revision_available/CQADupstackTexRetrieval.json", - 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"results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/NFCorpus.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/STS15.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/AmazonPolarityClassification.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MTOPIntentClassification.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/STS13.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/SummEval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/ClimateFEVER.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackStatsRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/TwitterSemEval2015.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackWebmastersRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MedrxivClusteringP2P.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/TwentyNewsgroupsClustering.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/FEVER.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MSMARCO.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MTOPDomainClassification.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/QuoraRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/STS12.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/AmazonCounterfactualClassification.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackMathematicaRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/StackExchangeClusteringP2P.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackPhysicsRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackWordpressRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/StackOverflowDupQuestions.json" ] } \ No newline at end of file From 4721de4f33bca9fde73c44d2bfee198acd2017ed Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Fri, 6 Sep 2024 18:49:43 +0300 Subject: [PATCH 10/18] just one results --- tests/test_load_results.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_load_results.py b/tests/test_load_results.py index 444b965bd..c94a09cf4 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -4,7 +4,7 @@ import pytest from datasets import load_dataset # for CI this should be `results.results`, for local just `results` -from results.results import MODELS +from results import MODELS import mteb From 2f66c036d51c672b8a8895b7d6f7b26ca7592ded Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Fri, 6 Sep 2024 18:53:07 +0300 Subject: [PATCH 11/18] remove comment --- tests/test_load_results.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/test_load_results.py b/tests/test_load_results.py index c94a09cf4..3c2eac3ac 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -3,7 +3,6 @@ import pytest from datasets import load_dataset -# for CI this should be `results.results`, for local just `results` from results import MODELS import mteb From bb867972c2feb3332216ce44fc5323278acba4d7 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Fri, 6 Sep 2024 19:21:40 +0300 Subject: [PATCH 12/18] upd paths --- paths.json | 30786 +++++++++++++++++++++++++-------------------------- 1 file changed, 15380 insertions(+), 15406 deletions(-) diff --git a/paths.json b/paths.json index 8e2fb0b4f..07b869512 100644 --- a/paths.json +++ b/paths.json @@ -1,15563 +1,15537 @@ { - "text-search-davinci-001": [ - "results/text-search-davinci-001/no_revision_available/NFCorpus.json", - "results/text-search-davinci-001/no_revision_available/ArguAna.json", - "results/text-search-davinci-001/no_revision_available/HotpotQA.json", - "results/text-search-davinci-001/no_revision_available/Touche2020.json", - "results/text-search-davinci-001/no_revision_available/ClimateFEVER.json", - "results/text-search-davinci-001/no_revision_available/FiQA2018.json", - "results/text-search-davinci-001/no_revision_available/FEVER.json", - "results/text-search-davinci-001/no_revision_available/QuoraRetrieval.json", - 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"results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackStatsRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/TwitterSemEval2015.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackWebmastersRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MedrxivClusteringP2P.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/TwentyNewsgroupsClustering.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/FEVER.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MSMARCO.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/MTOPDomainClassification.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/QuoraRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/STS12.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/AmazonCounterfactualClassification.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackMathematicaRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/StackExchangeClusteringP2P.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackPhysicsRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/CQADupstackWordpressRetrieval.json", + "results/SGPT-2.7B-weightedmean-msmarco-specb-bitfit/no_revision_available/StackOverflowDupQuestions.json" ] } \ No newline at end of file From 9aa21497a368cdc826bd19e73f99142a349f2956 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Fri, 6 Sep 2024 19:57:49 +0300 Subject: [PATCH 13/18] move tests --- tests/test_load_datasets.py | 11 +++++++++++ tests/test_load_results.py | 13 +------------ 2 files changed, 12 insertions(+), 12 deletions(-) create mode 100644 tests/test_load_datasets.py diff --git a/tests/test_load_datasets.py b/tests/test_load_datasets.py new file mode 100644 index 000000000..6441e3ec3 --- /dev/null +++ b/tests/test_load_datasets.py @@ -0,0 +1,11 @@ +from pathlib import Path +import pytest +from datasets import load_dataset +from results import MODELS + + +@pytest.mark.parametrize("model", MODELS) +def test_load_results_from_datasets(model): + """Ensures that all models can be imported from dataset""" + path = Path(__file__).parent.parent / "results.py" + ds = load_dataset(str(path.absolute()), model, trust_remote_code=True) diff --git a/tests/test_load_results.py b/tests/test_load_results.py index 3c2eac3ac..abfbd2c82 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -1,10 +1,6 @@ import os from pathlib import Path -import pytest -from datasets import load_dataset -from results import MODELS - import mteb @@ -27,11 +23,4 @@ def test_load_results(): known_model = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2" known_revision = "bf3bf13ab40c3157080a7ab344c831b9ad18b5eb" assert known_model in results - assert known_revision in results[known_model] - - -@pytest.mark.parametrize("model", MODELS) -def test_load_results_from_datasets(model): - """Ensures that all models can be imported from dataset""" - path = Path(__file__).parent.parent / "results.py" - ds = load_dataset(str(path.absolute()), model, trust_remote_code=True) + assert known_revision in results[known_model] \ No newline at end of file From 6a3fb56e6dd108ccfeff5945d1bac9263ef87ef0 Mon Sep 17 00:00:00 2001 From: Roman Solomatin Date: Mon, 9 Sep 2024 22:42:44 +0300 Subject: [PATCH 14/18] remove os --- results.py | 1 - 1 file changed, 1 deletion(-) diff --git a/results.py b/results.py index f9cb9192f..c1e3c197f 100644 --- a/results.py +++ b/results.py @@ -1,7 +1,6 @@ """MTEB Results""" import json -import os import datasets From 5e04ae1192e04e2935556c49d4b8cd2bee8214a5 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Mon, 9 Sep 2024 22:52:18 +0300 Subject: [PATCH 15/18] move refresh paths --- paths.json | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/paths.json b/paths.json index 07b869512..1dfb90713 100644 --- a/paths.json +++ b/paths.json @@ -13810,8 +13810,7 @@ "results/bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/TempReasonL2Fact.json", "results/bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/TempReasonL2Pure.json", "results/bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/TempReasonL3Fact.json", - "results/bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/RARbCode.json", - "results/bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/model_metaInstruct.json" + "results/bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/RARbCode.json" ], "msmarco-bert-co-condensor": [ "results/msmarco-bert-co-condensor/no_revision_available/MassiveIntentClassification.json", From 266d0959622c2206db8ab51e86733a2c54a40ea3 Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Mon, 9 Sep 2024 23:26:29 +0300 Subject: [PATCH 16/18] remove text-embedding-preview-0409 Revert "rename" This reverts commit e252add3a54d8380b30f425b04c80ad6d5780ea4. rename --- results.py | 1 - 1 file changed, 1 deletion(-) diff --git a/results.py b/results.py index c1e3c197f..6b58c47da 100644 --- a/results.py +++ b/results.py @@ -203,7 +203,6 @@ "SGPT-2.7B-weightedmean-msmarco-specb-bitfit", "SGPT-125M-weightedmean-msmarco-specb-bitfit-que", "SGPT-125M-weightedmean-msmarco-specb-bitfit-doc", - "text-embedding-preview-0409-768", "SGPT-125M-weightedmean-msmarco-specb-bitfit", "silver-retriever-base-v1", "st-polish-paraphrase-from-distilroberta", From 9c9ab280ee53231386d7d55fef23b4d1417724bd Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Mon, 9 Sep 2024 23:43:16 +0300 Subject: [PATCH 17/18] allow test to fail --- tests/test_load_datasets.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_load_datasets.py b/tests/test_load_datasets.py index 6441e3ec3..a73d4834b 100644 --- a/tests/test_load_datasets.py +++ b/tests/test_load_datasets.py @@ -5,6 +5,7 @@ @pytest.mark.parametrize("model", MODELS) +@pytest.mark.skip(reason="If new model added this test will fail") def test_load_results_from_datasets(model): """Ensures that all models can be imported from dataset""" path = Path(__file__).parent.parent / "results.py" From 28ca29534c016e1202ac7203bcfbccf3f9f63b5b Mon Sep 17 00:00:00 2001 From: Roman Solomatin <36135455+Samoed@users.noreply.github.com> Date: Mon, 9 Sep 2024 23:46:29 +0300 Subject: [PATCH 18/18] allow test to fail --- tests/test_load_datasets.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_load_datasets.py b/tests/test_load_datasets.py index a73d4834b..eaeed4b42 100644 --- a/tests/test_load_datasets.py +++ b/tests/test_load_datasets.py @@ -5,7 +5,7 @@ @pytest.mark.parametrize("model", MODELS) -@pytest.mark.skip(reason="If new model added this test will fail") +@pytest.mark.xfail(reason="If new model added this test will fail") def test_load_results_from_datasets(model): """Ensures that all models can be imported from dataset""" path = Path(__file__).parent.parent / "results.py"