diff --git a/load_external.py b/load_external.py new file mode 100644 index 0000000000000000000000000000000000000000..90d13ed51fa361efb1e54c47fd081f7b4cc0611b --- /dev/null +++ b/load_external.py @@ -0,0 +1,238 @@ +from __future__ import annotations + +import json +import logging +import math +import re +from pathlib import Path +from typing import Any + +from huggingface_hub import HfApi, get_hf_file_metadata, hf_hub_download, hf_hub_url +from huggingface_hub.errors import NotASafetensorsRepoError +from huggingface_hub.hf_api import ModelInfo +from huggingface_hub.repocard import metadata_load +from mteb import ModelMeta, get_task + +API = HfApi() +logger = logging.getLogger(__name__) + + +library_mapping = { + "sentence-transformers": "Sentence Transformers", +} + + +def get_model_dir(model_id: str) -> Path: + external_result_dir = Path("results") / model_id.replace("/", "__") / "external" + return external_result_dir + + +def simplify_dataset_name(name: str) -> str: + return name.replace("MTEB ", "").split()[0] + + +def get_model_parameters_memory(model_info: ModelInfo) -> tuple[int| None, float|None]: + try: + safetensors = API.get_safetensors_metadata(model_info.id) + num_parameters = sum(safetensors.parameter_count.values()) + return num_parameters, round(num_parameters * 4 / 1024 ** 3, 2) + except NotASafetensorsRepoError as e: + logger.info(f"Could not find SafeTensors metadata for {model_info.id}") + + filenames = [sib.rfilename for sib in model_info.siblings] + if "pytorch_model.bin" in filenames: + url = hf_hub_url(model_info.id, filename="pytorch_model.bin") + meta = get_hf_file_metadata(url) + bytes_per_param = 4 + num_params = round(meta.size / bytes_per_param) + size_gb = round(meta.size * (4 / bytes_per_param) / 1024 ** 3, 2) + return num_params, size_gb + if "pytorch_model.bin.index.json" in filenames: + index_path = hf_hub_download(model_info.id, filename="pytorch_model.bin.index.json") + size = json.load(open(index_path)) + bytes_per_param = 4 + if "metadata" in size and "total_size" in size["metadata"]: + return round(size["metadata"]["total_size"] / bytes_per_param), round(size["metadata"]["total_size"] / 1024 ** 3, 2) + logger.info(f"Could not find the model parameters for {model_info.id}") + return None, None + + +def get_dim_seq_size(model: ModelInfo) -> tuple[str | None, str | None, int, float]: + siblings = model.siblings or [] + filenames = [sib.rfilename for sib in siblings] + dim, seq = None, None + for filename in filenames: + if re.match(r"\d+_Pooling/config.json", filename): + st_config_path = hf_hub_download(model.id, filename=filename) + dim = json.load(open(st_config_path)).get("word_embedding_dimension", None) + break + for filename in filenames: + if re.match(r"\d+_Dense/config.json", filename): + st_config_path = hf_hub_download(model.id, filename=filename) + dim = json.load(open(st_config_path)).get("out_features", dim) + if "config.json" in filenames: + config_path = hf_hub_download(model.id, filename="config.json") + config = json.load(open(config_path)) + if not dim: + dim = config.get("hidden_dim", config.get("hidden_size", config.get("d_model", None))) + seq = config.get("n_positions", config.get("max_position_embeddings", config.get("n_ctx", config.get("seq_length", None)))) + + parameters, memory = get_model_parameters_memory(model) + return dim, seq, parameters, memory + + +def create_model_meta(model_info: ModelInfo) -> ModelMeta | None: + readme_path = hf_hub_download(model_info.id, filename="README.md", etag_timeout=30) + meta = metadata_load(readme_path) + dim, seq, parameters, memory = None, None, None, None + try: + dim, seq, parameters, memory = get_dim_seq_size(model_info) + except Exception as e: + logger.error(f"Error getting model parameters for {model_info.id}, {e}") + + release_date = str(model_info.created_at.date()) if model_info.created_at else "" + library = [library_mapping[model_info.library_name]] if model_info.library_name in library_mapping else [] + languages = meta.get("language", []) + if not isinstance(languages, list) and isinstance(languages, str): + languages = [languages] + # yaml transforms norwegian `no` to False + for i in range(len(languages)): + if languages[i] is False: + languages[i] = "no" + + model_meta = ModelMeta( + name=model_info.id, + revision=model_info.sha, + release_date=release_date, + open_weights=True, + framework=library, + license=meta.get("license", None), + embed_dim=dim, + max_tokens=seq, + n_parameters=parameters, + languages=languages, + ) + return model_meta + + +def parse_readme(model_info: ModelInfo) -> dict[str, dict[str, Any]] | None: + model_id = model_info.id + try: + readme_path = hf_hub_download(model_info.id, filename="README.md", etag_timeout=30) + except Exception: + logger.warning(f"ERROR: Could not fetch metadata for {model_id}, trying again") + readme_path = hf_hub_download(model_id, filename="README.md", etag_timeout=30) + meta = metadata_load(readme_path) + if "model-index" not in meta: + logger.info(f"Could not find model-index in {model_id}") + return + model_index = meta["model-index"][0] + model_name_from_readme = model_index.get("name", None) + orgs = ["Alibaba-NLP", "HIT-TMG", "McGill-NLP", "Snowflake", "facebook", "jinaai", "nomic-ai"] + is_org = any([model_id.startswith(org) for org in orgs]) + # There a lot of reuploads with tunes, quantization, etc. We only want the original model + # to prevent this most of the time we can check if the model name from the readme is the same as the model id + # but some orgs have a different naming in their readme + if model_name_from_readme and not model_info.id.endswith(model_name_from_readme) and not is_org: + logger.warning(f"Model name mismatch: {model_info.id} vs {model_name_from_readme}") + return + results = model_index.get("results", []) + model_results = {} + for result in results: + dataset = result["dataset"] + dataset_type = dataset["type"] # type is repo of the dataset + if dataset_type not in model_results: + output_dict = { + "dataset_revision": dataset.get("revision", ""), + "task_name": simplify_dataset_name(dataset["name"]), + "evaluation_time": None, + "mteb_version": None, + "scores": {}, + } + else: + output_dict = model_results[dataset_type] + + try: + mteb_task = get_task(output_dict["task_name"]) + except Exception: + logger.warning(f"Error getting task for {model_id} {output_dict['task_name']}") + continue + + mteb_task_metadata = mteb_task.metadata + mteb_task_eval_languages = mteb_task_metadata.eval_langs + + scores_dict = output_dict["scores"] + current_split = dataset["split"] + current_config = dataset.get("config", "") + cur_split_metrics = { + "hf_subset": current_config, + "languages": mteb_task_eval_languages if isinstance(mteb_task_eval_languages, list) else mteb_task_eval_languages.get(current_config, ["None"]), + } + for metric in result["metrics"]: + cur_split_metrics[metric["type"]] = metric["value"] + + main_score_str = "main_score" + if main_score_str not in cur_split_metrics: + # old sts and sum_eval have cos_sim_pearson, but in model_meta cosine_spearman is main_score + for old_metric, new_metric in zip(["cos_sim_pearson", "cos_sim_spearman"], ["cosine_pearson", "cosine_spearman"]): + if old_metric in cur_split_metrics: + cur_split_metrics[new_metric] = cur_split_metrics[old_metric] + + if mteb_task.metadata.main_score not in cur_split_metrics: + logger.warning(f"Could not find main score for {model_id} {output_dict['task_name']}, mteb task {mteb_task.metadata.name}. Main score: {mteb_task.metadata.main_score}. Metrics: {cur_split_metrics}, result {result['metrics']}") + continue + + cur_split_metrics[main_score_str] = cur_split_metrics.get(mteb_task.metadata.main_score, None) + split_metrics = scores_dict.get(current_split, []) + split_metrics.append(cur_split_metrics) + scores_dict[current_split] = split_metrics + model_results[dataset_type] = output_dict + return model_results + + +def get_mteb_data() -> None: + models = sorted(list(API.list_models(filter="mteb", full=True)), key=lambda x: x.id) + # models = [model for model in models if model.id == "intfloat/multilingual-e5-large"] + for i, model_info in enumerate(models, start=1): + logger.info(f"[{i}/{len(models)}] Processing {model_info.id}") + model_path = get_model_dir(model_info.id) + if (model_path / "model_meta.json").exists() and len(list(model_path.glob("*.json"))) > 1: + logger.info(f"Model meta already exists for {model_info.id}") + continue + if model_info.id.lower().endswith("gguf"): + logger.info(f"Skipping {model_info.id} GGUF model") + continue + + spam_users = ["ILKT", "fine-tuned", "mlx-community"] + is_spam = False + for spam_user in spam_users: + if model_info.id.startswith(spam_user): + logger.info(f"Skipping {model_info.id}") + is_spam = True + continue + if is_spam: + continue + model_meta = create_model_meta(model_info) + model_results = parse_readme(model_info) + + if not model_meta or not model_results: + logger.warning(f"Could not get model meta or results for {model_info.id}") + continue + + if not model_path.exists(): + model_path.mkdir(parents=True, exist_ok=True) + + model_meta_path = model_path / "model_meta.json" + with model_meta_path.open("w") as f: + json.dump(model_meta.model_dump(), f, indent=4) + + for model_result in model_results: + task_name = model_results[model_result]["task_name"] + result_file = model_path / f"{task_name}.json" + with result_file.open("w") as f: + json.dump(model_results[model_result], f, indent=4) + + +if __name__ == "__main__": + 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"results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/STS22.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/AmazonReviewsClassification.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/MTOPIntentClassification.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/HALClusteringS2S.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/MasakhaNEWSClassification.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/OpusparcusPC.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/MTOPDomainClassification.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/SICKFr.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/PawsXPairClassification.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/XPQARetrieval.json", + "results/vprelovac__universal-sentence-encoder-multilingual-large-3/no_revision_available/STSBenchmarkMultilingualSTS.json" ] } \ No newline at end of file diff --git a/results.py b/results.py index 2cb4b4ea47b7c82e1bde1bc097b9db9033d68373..4b2959a9867a1e336d88df4808f1bacb1391bc0f 100644 --- a/results.py +++ b/results.py @@ -3,6 +3,8 @@ from __future__ import annotations import json +import os +from pathlib import Path import datasets @@ -290,250 +292,29 @@ TEST_AVG_SPLIT = { ], } -MODELS = [ - "Alibaba-NLP__gte-Qwen1.5-7B-instruct", - "Alibaba-NLP__gte-Qwen2-7B-instruct", - "BAAI__bge-base-en", - "BAAI__bge-base-en-v1.5", - "BAAI__bge-base-en-v1.5-instruct", - "BAAI__bge-base-zh", - "BAAI__bge-base-zh-v1.5", - "BAAI__bge-large-en", - "BAAI__bge-large-en-v1.5", - "BAAI__bge-large-en-v1.5-instruct", - "BAAI__bge-large-zh", - "BAAI__bge-large-zh-noinstruct", - "BAAI__bge-large-zh-v1.5", - "BAAI__bge-m3", - "BAAI__bge-m3-instruct", - "BAAI__bge-small-en-v1.5", - "BAAI__bge-small-en-v1.5-instruct", - "BAAI__bge-small-zh", - "BAAI__bge-small-zh-v1.5", - "Cohere__Cohere-embed-english-v3.0", - "Cohere__Cohere-embed-english-v3.0-instruct", - "Cohere__Cohere-embed-multilingual-light-v3.0", - "Cohere__Cohere-embed-multilingual-v3.0", - "DeepPavlov__distilrubert-small-cased-conversational", - "DeepPavlov__rubert-base-cased", - "DeepPavlov__rubert-base-cased-sentence", - "FacebookAI__xlm-roberta-base", - "FacebookAI__xlm-roberta-large", - "Geotrend__bert-base-10lang-cased", - "Geotrend__bert-base-15lang-cased", - "Geotrend__bert-base-25lang-cased", - "Geotrend__distilbert-base-25lang-cased", - "Geotrend__distilbert-base-en-fr-cased", - "Geotrend__distilbert-base-en-fr-es-pt-it-cased", - "Geotrend__distilbert-base-fr-cased", - "GritLM__GritLM-7B", - "GritLM__GritLM-7B-noinstruct", - "KBLab__electra-small-swedish-cased-discriminator", - "KBLab__sentence-bert-swedish-cased", - "KB__bert-base-swedish-cased", - "McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised", - "McGill-NLP__LLM2Vec-Llama-2-unsupervised", - "McGill-NLP__LLM2Vec-Meta-Llama-3-supervised", - "McGill-NLP__LLM2Vec-Meta-Llama-3-unsupervised", - "McGill-NLP__LLM2Vec-Mistral-supervised", - "McGill-NLP__LLM2Vec-Mistral-unsupervised", - "McGill-NLP__LLM2Vec-Sheared-Llama-supervised", - "McGill-NLP__LLM2Vec-Sheared-Llama-unsupervised", - "Muennighoff__SGPT-1.3B-weightedmean-msmarco-specb-bitfit", - "Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit", - "Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit-doc", - "Muennighoff__SGPT-125M-weightedmean-msmarco-specb-bitfit-que", - "Muennighoff__SGPT-125M-weightedmean-nli-bitfit", - "Muennighoff__SGPT-2.7B-weightedmean-msmarco-specb-bitfit", - "Muennighoff__SGPT-5.8B-weightedmean-msmarco-specb-bitfit", - "Muennighoff__SGPT-5.8B-weightedmean-msmarco-specb-bitfit-que", - "Muennighoff__SGPT-5.8B-weightedmean-nli-bitfit", - "NbAiLab__nb-bert-base", - "NbAiLab__nb-bert-large", - "Salesforce__SFR-Embedding-Mistral", - "T-Systems-onsite__cross-en-de-roberta-sentence-transformer", - "Wissam42__sentence-croissant-llm-base", - "ai-forever__sbert_large_mt_nlu_ru", - "ai-forever__sbert_large_nlu_ru", - "aliyun__OpenSearch-text-hybrid", - "almanach__camembert-base", - "almanach__camembert-large", - "amazon__titan-embed-text-v1", - "baichuan-ai__text-embedding", - "bigscience-data__sgpt-bloom-1b7-nli", - "bigscience-data__sgpt-bloom-7b1-msmarco", - "bm25", - "bm25s", - "castorini__monobert-large-msmarco", - "castorini__monot5-3b-msmarco-10k", - "castorini__monot5-base-msmarco-10k", - "chcaa__dfm-encoder-large-v1", - "cointegrated__LaBSE-en-ru", - "cointegrated__rubert-tiny", - "cointegrated__rubert-tiny2", - "dangvantuan__sentence-camembert-base", - "dangvantuan__sentence-camembert-large", - "deepfile__embedder-100p", - "deepset__gbert-base", - "deepset__gbert-large", - "deepset__gelectra-base", - "deepset__gelectra-large", - "deepvk__USER-base", - "deepvk__USER-bge-m3", - "deepvk__deberta-v1-base", - "distilbert__distilbert-base-uncased", - "dwzhu__e5-base-4k", - "elastic__elser-v2", - "facebook__contriever", - "facebook__contriever-instruct", - "facebook__dpr-ctx_encoder-multiset-base", - "facebook__dragon-plus-context-encoder", - "facebook__tart-full-flan-t5-xl", - "facebookresearch__LASER2", - "facebookresearch__dragon-plus", - "facebookresearch__dragon-plus-instruct", - "flaubert__flaubert_base_cased", - "flaubert__flaubert_base_uncased", - "flaubert__flaubert_large_cased", - "google-bert__bert-base-multilingual-cased", - "google-bert__bert-base-multilingual-uncased", - "google-bert__bert-base-uncased", - "google-gecko__text-embedding-004", - "google-gecko__text-embedding-004-256", - "google__flan-t5-base", - "google__flan-t5-large", - "hkunlp__instructor-base", - "hkunlp__instructor-large", - "hkunlp__instructor-xl", - "intfloat__e5-base", - "intfloat__e5-base-v2", - "intfloat__e5-large", - "intfloat__e5-large-v2", - "intfloat__e5-mistral-7b-instruct", - "intfloat__e5-mistral-7b-instruct-noinstruct", - "intfloat__e5-small", - "intfloat__e5-small-v2", - "intfloat__multilingual-e5-base", - "intfloat__multilingual-e5-large", - "intfloat__multilingual-e5-large-instruct", - "intfloat__multilingual-e5-small", - "ipipan__herbert-base-retrieval-v2", - "ipipan__silver-retriever-base-v1", - "izhx__udever-bloom-1b1", - "izhx__udever-bloom-560m", - "jhu-clsp__FollowIR-7B", - "jinaai__jina-embeddings-v2-base-en", - "jonfd__electra-small-nordic", - "ltg__norbert3-base", - "ltg__norbert3-large", - "meta-llama__llama-2-7b-chat", - "mistral__mistral-embed", - "mistralai__mistral-7b-instruct-v0.2", - "mixedbread-ai__mxbai-embed-large-v1", - "moka-ai__m3e-base", - "moka-ai__m3e-large", - "nomic-ai__nomic-embed-text-v1", - "nomic-ai__nomic-embed-text-v1.5-128", - "nomic-ai__nomic-embed-text-v1.5-256", - "nomic-ai__nomic-embed-text-v1.5-512", - "nomic-ai__nomic-embed-text-v1.5-64", - "nthakur__contriever-base-msmarco", - "openai__text-embedding-3-large", - "openai__text-embedding-3-large-256", - "openai__text-embedding-3-large-instruct", - "openai__text-embedding-3-small-instruct", - "openai__text-embedding-ada-002", - "openai__text-embedding-ada-002-instruct", - "openai__text-search-ada-001", - "openai__text-search-ada-doc-001", - "openai__text-search-babbage-001", - "openai__text-search-curie-001", - "openai__text-search-davinci-001", - "openai__text-similarity-ada-001", - "openai__text-similarity-babbage-001", - "openai__text-similarity-curie-001", - "openai__text-similarity-davinci-001", - "openai__text-embedding-3-small", - "orionweller__tart-dual-contriever-msmarco", - "princeton-nlp__sup-simcse-bert-base-uncased", - "princeton-nlp__unsup-simcse-bert-base-uncased", - "sdadas__st-polish-paraphrase-from-distilroberta", - "sdadas__st-polish-paraphrase-from-mpnet", - "sentence-transformers__LaBSE", - "sentence-transformers__all-MiniLM-L12-v2", - "sentence-transformers__all-MiniLM-L6-v2", - "sentence-transformers__all-MiniLM-L6-v2-instruct", - "sentence-transformers__all-mpnet-base-v2", - "sentence-transformers__all-mpnet-base-v2-instruct", - "sentence-transformers__allenai-specter", - "sentence-transformers__average_word_embeddings_glove.6B.300d", - "sentence-transformers__average_word_embeddings_komninos", - "sentence-transformers__distiluse-base-multilingual-cased-v2", - "sentence-transformers__gtr-t5-base", - "sentence-transformers__gtr-t5-large", - "sentence-transformers__gtr-t5-xl", - "sentence-transformers__gtr-t5-xxl", - "sentence-transformers__msmarco-bert-co-condensor", - "sentence-transformers__multi-qa-MiniLM-L6-cos-v1", - "sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2", - "sentence-transformers__paraphrase-multilingual-mpnet-base-v2", - "sentence-transformers__sentence-t5-base", - "sentence-transformers__sentence-t5-large", - "sentence-transformers__sentence-t5-xl", - "sentence-transformers__sentence-t5-xxl", - "sentence-transformers__use-cmlm-multilingual", - "sergeyzh__LaBSE-ru-turbo", - "sergeyzh__rubert-tiny-turbo", - "shibing624__text2vec-base-chinese", - "shibing624__text2vec-base-multilingual", - "shibing624__text2vec-large-chinese", - "silk-road__luotuo-bert-medium", - "uklfr__gottbert-base", - "vesteinn__DanskBERT", - "voyageai__voyage-2", - "voyageai__voyage-code-2", - "voyageai__voyage-large-2-instruct", - "voyageai__voyage-law-2", - "voyageai__voyage-lite-01-instruct", - "voyageai__voyage-lite-02-instruct", - "voyageai__voyage-multilingual-2", - "voyageai__voyage-3", - "voyageai__voyage-3-lite", - "vprelovac__universal-sentence-encoder-multilingual-3", - "vprelovac__universal-sentence-encoder-multilingual-large-3", -] - - -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 - +MODELS = sorted(list(set([str(file).split('/')[-1] for file in (Path(__file__).parent / "results").glob("*") if file.is_dir()]))) # Needs to be run whenever new files are added def get_paths(): import collections, json, os files = collections.defaultdict(list) - for model_dir in os.listdir("results"): + for model_dir in MODELS: results_model_dir = os.path.join("results", model_dir) 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} 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 + if revision_folder == "external": + 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_name].append(results_model_file) + files[model_dir].append(results_model_file) with open("paths.json", "w") as f: json.dump(files, f, indent=2) return files diff --git a/results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/STS17.json b/results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/STS17.json new file mode 100644 index 0000000000000000000000000000000000000000..50c42619da5d9ef502b6fdc4d6e95468811a4a0c --- /dev/null +++ b/results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/STS17.json @@ -0,0 +1,23 @@ +{ + "dataset_revision": "faeb762787bd10488a50c8b5be4a3b82e411949c", + "task_name": "STS17", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "ar-ar", + "languages": [ + "ara-Arab" + ], + "cosine_pearson": 84.5661961200634, + "cosine_spearman": 85.04839486363485, + "euclidean_pearson": 83.06651812356505, + "euclidean_spearman": 84.64285835335832, + "main_score": 85.04839486363485, + "manhattan_pearson": 83.12273085900199, + "manhattan_spearman": 84.51258675131285 + } + ] + } +} \ No newline at end of file diff --git a/results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/model_meta.json b/results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/model_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..9ad991074a9ae3791d30331120d6ecd32191435e --- /dev/null +++ b/results/AbderrahmanSkiredj1__Arabic_text_embedding_for_sts/external/model_meta.json @@ -0,0 +1,22 @@ +{ + "name": "AbderrahmanSkiredj1/Arabic_text_embedding_for_sts", + "revision": "bbd8aaebafc25b38eaa96300313db0bbe0086d12", + "release_date": "2024-07-07", + "languages": [], + "loader": null, + "n_parameters": 135193344, + "memory_usage": null, + "max_tokens": 512, + "embed_dim": 768, + "license": null, + "open_weights": true, + "public_training_data": null, + "public_training_code": null, + "framework": [ + "Sentence Transformers" + ], + "reference": null, + "similarity_fn_name": null, + "use_instructions": null, + "zero_shot_benchmarks": null +} \ No newline at end of file diff --git a/results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/STS17.json b/results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/STS17.json new file mode 100644 index 0000000000000000000000000000000000000000..da31b4e14b7ec78f2d48fa381d7dc476d6631e57 --- /dev/null +++ b/results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/STS17.json @@ -0,0 +1,23 @@ +{ + "dataset_revision": "faeb762787bd10488a50c8b5be4a3b82e411949c", + "task_name": "STS17", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "ar-ar", + "languages": [ + "ara-Arab" + ], + "cosine_pearson": 84.4552565985224, + "cosine_spearman": 84.95895784502326, + "euclidean_pearson": 82.78929391924628, + "euclidean_spearman": 84.30172209203968, + "main_score": 84.95895784502326, + "manhattan_pearson": 82.8787314198733, + "manhattan_spearman": 84.31971710672602 + } + ] + } +} \ No newline at end of file diff --git a/results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/model_meta.json b/results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/model_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..bfdb0ac213a67b2a114e1a639632d8bb800267bb --- /dev/null +++ b/results/AbderrahmanSkiredj1__arabic_text_embedding_sts_arabertv02_arabicnlitriplet/external/model_meta.json @@ -0,0 +1,22 @@ +{ + "name": "AbderrahmanSkiredj1/arabic_text_embedding_sts_arabertv02_arabicnlitriplet", + "revision": "a920aa3e6222ce4a03a5799ecb6f1e6dea6e4c46", + "release_date": "2024-07-06", + "languages": [], + "loader": null, + "n_parameters": 135193344, + "memory_usage": null, + "max_tokens": 512, + "embed_dim": 768, + "license": null, + "open_weights": true, + "public_training_data": null, + "public_training_code": null, + "framework": [ + "Sentence Transformers" + ], + "reference": null, + "similarity_fn_name": null, + "use_instructions": null, + "zero_shot_benchmarks": null +} \ No newline at end of file diff --git a/results/AdrienB134__llm2vec-occiglot-mntp/external/AlloProfClusteringP2P.json b/results/AdrienB134__llm2vec-occiglot-mntp/external/AlloProfClusteringP2P.json new file mode 100644 index 0000000000000000000000000000000000000000..938204c06526ad83e1c8ac2fd7d0054c08dfc652 --- /dev/null +++ b/results/AdrienB134__llm2vec-occiglot-mntp/external/AlloProfClusteringP2P.json @@ -0,0 +1,2030 @@ +{ + "dataset_revision": "392ba3f5bcc8c51f578786c1fc3dae648662cb9b", + "task_name": "AlloProfClusteringP2P", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "fra-Latn" + ], + "v_measure": 63.99706100543374, + "v_measures": [ + 0.6309250305032879, + 0.6712141669904825, + 0.6368913449141772, + 0.6246279406859577, + 0.6418756731751959, + 0.6355531442090399, + 0.6161988676092909, + 0.6346687792160265, + 0.6312400213373579, + 0.6765111319025582, + 0.6309250305032879, + 0.6712141669904825, + 0.6368913449141772, + 0.6246279406859577, + 0.6418756731751959, + 0.6355531442090399, + 0.6161988676092909, + 0.6346687792160265, + 0.6312400213373579, + 0.6765111319025582, + 0.6309250305032879, + 0.6712141669904825, + 0.6368913449141772, + 0.6246279406859577, + 0.6418756731751959, + 0.6355531442090399, + 0.6161988676092909, + 0.6346687792160265, + 0.6312400213373579, + 0.6765111319025582, + 0.6309250305032879, + 0.6712141669904825, + 0.6368913449141772, + 0.6246279406859577, + 0.6418756731751959, + 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a/results/Alibaba-NLP__gte-base-en-v1.5/external/CQADupstackTexRetrieval.json b/results/Alibaba-NLP__gte-base-en-v1.5/external/CQADupstackTexRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..4bbdcbd07aaae0a293d8de92f289321e92115088 --- /dev/null +++ b/results/Alibaba-NLP__gte-base-en-v1.5/external/CQADupstackTexRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "46989137a86843e03a6195de44b09deda022eec7", + "task_name": "CQADupstackTexRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 15.614, + "map_at_10": 22.927, + "map_at_100": 24.185000000000002, + "map_at_1000": 24.319, + "map_at_3": 20.596, + "map_at_5": 21.854000000000003, + "mrr_at_1": 18.858, + "mrr_at_10": 26.535999999999998, + "mrr_at_100": 27.582, + "mrr_at_1000": 27.665, + "mrr_at_3": 24.295, + "mrr_at_5": 25.532, + "ndcg_at_1": 18.858, + "ndcg_at_10": 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a/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/EmotionClassification.json b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/EmotionClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..d4aa3ad18969a91ab58fe0fdefd7205475c9edb2 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/EmotionClassification.json @@ -0,0 +1,19 @@ +{ + "dataset_revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37", + "task_name": "EmotionClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "accuracy": 46.575, + "f1": 42.15253766150754, + "main_score": 46.575 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/FEVER.json 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newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/HotpotQA.json b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/HotpotQA.json new file mode 100644 index 0000000000000000000000000000000000000000..b656c4637bd1b3b672daf61c8a75da20e45ae0f6 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/HotpotQA.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "HotpotQA", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 27.474999999999998, + "map_at_10": 39.342, + "map_at_100": 40.458, + "map_at_1000": 40.553, + "map_at_3": 36.272999999999996, + "map_at_5": 38.091, + "mrr_at_1": 54.949000000000005, + "mrr_at_10": 63.28, + "mrr_at_100": 63.796, + "mrr_at_1000": 63.821000000000005, + "mrr_at_3": 61.41799999999999, + "mrr_at_5": 62.522999999999996, + 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No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/MTOPDomainClassification.json b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/MTOPDomainClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..47c2edd5ab6d7e2554ce5c748f2387d3aab6b04d --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/MTOPDomainClassification.json @@ -0,0 +1,19 @@ +{ + "dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf", + "task_name": "MTOPDomainClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "en", + "languages": [ + "eng-Latn" + ], + "accuracy": 94.3296853625171, + "f1": 94.02246426051437, + "main_score": 94.3296853625171 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/MTOPIntentClassification.json 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newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/NFCorpus.json b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/NFCorpus.json new file mode 100644 index 0000000000000000000000000000000000000000..104e19a6c16c4bd7cea68ba5afaf7543a0af5e71 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse/external/NFCorpus.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "NFCorpus", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 2.6759999999999997, + "map_at_10": 8.365, + "map_at_100": 10.949, + "map_at_1000": 12.248000000000001, + "map_at_3": 5.836, + "map_at_5": 7.094, + "mrr_at_1": 32.507999999999996, + "mrr_at_10": 43.336999999999996, + "mrr_at_100": 44.092, + "mrr_at_1000": 44.125, + "mrr_at_3": 40.402, + "mrr_at_5": 42.214, + "ndcg_at_1": 30.186, + 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a/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/CQADupstackPhysicsRetrieval.json b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/CQADupstackPhysicsRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..d3eb5d44b4460e4ac8c9b1eab16f4aad9de567aa --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/CQADupstackPhysicsRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackPhysicsRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 22.828, + "map_at_10": 33.166000000000004, + "map_at_100": 34.618, + "map_at_1000": 34.744, + "map_at_3": 29.737000000000002, + "map_at_5": 31.541000000000004, + "mrr_at_1": 29.548000000000002, + "mrr_at_10": 38.582, + "mrr_at_100": 39.527, + "mrr_at_1000": 39.577, + 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a/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/CQADupstackTexRetrieval.json b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/CQADupstackTexRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..b13570c0a28a4054bc6b208437592a3b67f5605b --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/CQADupstackTexRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackTexRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 9.798, + "map_at_10": 14.695, + "map_at_100": 15.590000000000002, + "map_at_1000": 15.726999999999999, + "map_at_3": 13.004999999999999, + "map_at_5": 13.861, + "mrr_at_1": 12.939, + "mrr_at_10": 18.218, + "mrr_at_100": 18.998, + "mrr_at_1000": 19.093, + "mrr_at_3": 16.454, + "mrr_at_5": 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b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/HotpotQA.json new file mode 100644 index 0000000000000000000000000000000000000000..2c1744a3a07bb924fbf34b1b84ab05edd7a7ef73 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/HotpotQA.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "HotpotQA", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 29.541, + "map_at_10": 43.088, + "map_at_100": 44.252, + "map_at_1000": 44.345, + "map_at_3": 39.79, + "map_at_5": 41.687000000000005, + "mrr_at_1": 59.082, + "mrr_at_10": 67.27300000000001, + "mrr_at_100": 67.708, + "mrr_at_1000": 67.731, + "mrr_at_3": 65.526, + "mrr_at_5": 66.589, + "ndcg_at_1": 59.082, + "ndcg_at_10": 52.372, + "ndcg_at_100": 56.725, + "ndcg_at_1000": 58.665, + "ndcg_at_3": 47.129, + "ndcg_at_5": 49.808, + "precision_at_1": 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\ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/StackExchangeClustering.json b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/StackExchangeClustering.json new file mode 100644 index 0000000000000000000000000000000000000000..f390db83fad5032cabdea8763915c33d5e1c62e7 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse/external/StackExchangeClustering.json @@ -0,0 +1,18 @@ +{ + "dataset_revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259", + "task_name": "StackExchangeClustering", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "v_measure": 68.19604139959692, + "main_score": 68.19604139959692 + } + ] + } +} \ No newline at end of file diff --git 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a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackGamingRetrieval.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackGamingRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..ab2625866ed63ee1b4b89b72238815a6a25fb147 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackGamingRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackGamingRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 46.736, + "map_at_10": 60.775999999999996, + "map_at_100": 61.755, + "map_at_1000": 61.783, + "map_at_3": 57.293000000000006, + "map_at_5": 59.382000000000005, + "mrr_at_1": 54.232, + "mrr_at_10": 64.424, + "mrr_at_100": 64.996, + "mrr_at_1000": 65.009, + "mrr_at_3": 62.226000000000006, + 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a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackPhysicsRetrieval.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackPhysicsRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..1cf3de03248a2471b6b7f606e0430032b2b0881e --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackPhysicsRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackPhysicsRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 35.327, + "map_at_10": 47.783, + "map_at_100": 49.153999999999996, + "map_at_1000": 49.260999999999996, + "map_at_3": 44.145, + "map_at_5": 46.207, + "mrr_at_1": 44.37, + "mrr_at_10": 53.864999999999995, + "mrr_at_100": 54.625, + "mrr_at_1000": 54.662, + "mrr_at_3": 51.604000000000006, 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b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackProgrammersRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackProgrammersRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 32.397999999999996, + "map_at_10": 44.932, + "map_at_100": 46.336, + "map_at_1000": 46.421, + "map_at_3": 41.128, + "map_at_5": 43.364999999999995, + "mrr_at_1": 41.324, + "mrr_at_10": 51.080000000000005, + "mrr_at_100": 51.878, + "mrr_at_1000": 51.910000000000004, + "mrr_at_3": 48.382999999999996, + "mrr_at_5": 50.004000000000005, + "ndcg_at_1": 41.324, + "ndcg_at_10": 51.466, + "ndcg_at_100": 56.874, + "ndcg_at_1000": 58.321999999999996, + "ndcg_at_3": 45.928999999999995, + "ndcg_at_5": 48.532, + "precision_at_1": 41.324, + "precision_at_10": 9.565999999999999, + "precision_at_100": 1.428, + "precision_at_1000": 0.172, 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a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackTexRetrieval.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackTexRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..dd8af93873b45e48dd0ab5b64f11511daa6bff69 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackTexRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackTexRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 22.823, + "map_at_10": 31.682, + "map_at_100": 32.864, + "map_at_1000": 32.988, + "map_at_3": 28.878999999999998, + "map_at_5": 30.459000000000003, + "mrr_at_1": 28.63, + "mrr_at_10": 36.672, + "mrr_at_100": 37.519999999999996, + "mrr_at_1000": 37.588, + "mrr_at_3": 34.262, + "mrr_at_5": 35.653, + 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b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised/external/CQADupstackUnixRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackUnixRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 32.79, + "map_at_10": 43.578, + "map_at_100": 44.782, + "map_at_1000": 44.869, + "map_at_3": 39.737, + "map_at_5": 41.92, + "mrr_at_1": 39.086, + "mrr_at_10": 48.135, + "mrr_at_100": 48.949, + "mrr_at_1000": 48.995, + "mrr_at_3": 45.086999999999996, + "mrr_at_5": 46.939, + "ndcg_at_1": 39.086, + "ndcg_at_10": 49.736999999999995, + "ndcg_at_100": 54.818999999999996, + "ndcg_at_1000": 56.515, + "ndcg_at_3": 43.503, + "ndcg_at_5": 46.499, + "precision_at_1": 39.086, + "precision_at_10": 8.685, + "precision_at_100": 1.2449999999999999, + "precision_at_1000": 0.148, + "precision_at_3": 19.963, + "precision_at_5": 14.366000000000001, + 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a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackMathematicaRetrieval.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackMathematicaRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..072aa9e211e5932b3cec796446f964936c73d038 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackMathematicaRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackMathematicaRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 10.495000000000001, + "map_at_10": 16.505, + "map_at_100": 17.59, + "map_at_1000": 17.709, + "map_at_3": 13.974, + "map_at_5": 15.466, + "mrr_at_1": 14.179, + "mrr_at_10": 20.396, + "mrr_at_100": 21.384, + "mrr_at_1000": 21.47, + "mrr_at_3": 17.828, + "mrr_at_5": 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a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackStatsRetrieval.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackStatsRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..f2d945a2e7908798d2d3612112f277a9ecbd62b6 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackStatsRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackStatsRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 15.043000000000001, + "map_at_10": 22.203, + "map_at_100": 23.254, + "map_at_1000": 23.362, + "map_at_3": 20.157, + "map_at_5": 21.201999999999998, + "mrr_at_1": 17.485, + "mrr_at_10": 24.729, + "mrr_at_100": 25.715, + "mrr_at_1000": 25.796999999999997, + "mrr_at_3": 22.725, + "mrr_at_5": 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b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackTexRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackTexRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 11.018, + "map_at_10": 15.886, + "map_at_100": 16.830000000000002, + "map_at_1000": 16.956, + "map_at_3": 14.222000000000001, + "map_at_5": 15.110999999999999, + "mrr_at_1": 14.625, + "mrr_at_10": 19.677, + "mrr_at_100": 20.532, + "mrr_at_1000": 20.622, + "mrr_at_3": 17.992, + "mrr_at_5": 18.909000000000002, + "ndcg_at_1": 14.625, + "ndcg_at_10": 19.414, + "ndcg_at_100": 24.152, + "ndcg_at_1000": 27.433000000000003, + "ndcg_at_3": 16.495, + "ndcg_at_5": 17.742, + "precision_at_1": 14.625, + "precision_at_10": 3.833, + "precision_at_100": 0.744, + "precision_at_1000": 0.11900000000000001, + "precision_at_3": 8.213, + "precision_at_5": 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b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackWebmastersRetrieval.json new file mode 100644 index 0000000000000000000000000000000000000000..c8b98cfde8d3ffa1ec3ce98515cc13a1d22f788c --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackWebmastersRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackWebmastersRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 20.696, + "map_at_10": 29.741, + "map_at_100": 30.958999999999996, + "map_at_1000": 31.22, + "map_at_3": 26.679000000000002, + "map_at_5": 28.244999999999997, + "mrr_at_1": 27.272999999999996, + "mrr_at_10": 35.101, + "mrr_at_100": 35.91, + "mrr_at_1000": 35.987, + "mrr_at_3": 32.378, + "mrr_at_5": 33.732, + "ndcg_at_1": 27.272999999999996, + "ndcg_at_10": 36.136, + "ndcg_at_100": 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b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/CQADupstackWordpressRetrieval.json @@ -0,0 +1,47 @@ +{ + "dataset_revision": "None", + "task_name": "CQADupstackWordpressRetrieval", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "map_at_1": 13.567000000000002, + "map_at_10": 19.326, + "map_at_100": 20.164, + "map_at_1000": 20.283, + "map_at_3": 17.613, + "map_at_5": 18.519, + "mrr_at_1": 15.157000000000002, + "mrr_at_10": 21.38, + "mrr_at_100": 22.163, + "mrr_at_1000": 22.261, + "mrr_at_3": 19.624, + "mrr_at_5": 20.548, + "ndcg_at_1": 15.157000000000002, + "ndcg_at_10": 23.044999999999998, + "ndcg_at_100": 27.586, + "ndcg_at_1000": 30.848, + "ndcg_at_3": 19.506999999999998, + "ndcg_at_5": 21.101, + "precision_at_1": 15.157000000000002, + "precision_at_10": 3.7150000000000003, + "precision_at_100": 0.651, + "precision_at_1000": 0.1, + "precision_at_3": 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a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/ImdbClassification.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/ImdbClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..655bcbc33d5246b27c9f542780f92507efa511d0 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/ImdbClassification.json @@ -0,0 +1,20 @@ +{ + "dataset_revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7", + "task_name": "ImdbClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "accuracy": 77.954, + "ap": 73.06067313842448, + "f1": 77.6469083443121, + "main_score": 77.954 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MSMARCO.json 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+ "accuracy": 76.65433759246805, + "f1": 73.24385243140212, + "main_score": 76.65433759246805 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MassiveScenarioClassification.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MassiveScenarioClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..e017b85bb51647129e6d725535b8a32cd0a82df2 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MassiveScenarioClassification.json @@ -0,0 +1,19 @@ +{ + "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634", + "task_name": "MassiveScenarioClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "en", + "languages": [ + "eng-Latn" + ], + "accuracy": 79.98655010087425, + "f1": 79.3880305174127, + "main_score": 79.98655010087425 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MedrxivClusteringP2P.json b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MedrxivClusteringP2P.json new file mode 100644 index 0000000000000000000000000000000000000000..5ad4fd87784ca7ebd9f8cd200f43c07e6f0eeb11 --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MedrxivClusteringP2P.json @@ -0,0 +1,18 @@ +{ + "dataset_revision": "e7a26af6f3ae46b30dde8737f02c07b1505bcc73", + "task_name": "MedrxivClusteringP2P", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "v_measure": 30.109152457220606, + "main_score": 30.109152457220606 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse/external/MedrxivClusteringS2S.json 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newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse/external/EmotionClassification.json b/results/McGill-NLP__LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse/external/EmotionClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..007097d1388a077a8bcaef12276b90267fd8c2ea --- /dev/null +++ b/results/McGill-NLP__LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse/external/EmotionClassification.json @@ -0,0 +1,19 @@ +{ + "dataset_revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37", + "task_name": "EmotionClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "accuracy": 42.855, + "f1": 39.029787102377576, + "main_score": 42.855 + } + ] + } +} \ No newline at end of file diff --git a/results/McGill-NLP__LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse/external/FEVER.json 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newline at end of file diff --git a/results/Mihaiii__Ivysaur/external/StackExchangeClusteringP2P.json b/results/Mihaiii__Ivysaur/external/StackExchangeClusteringP2P.json new file mode 100644 index 0000000000000000000000000000000000000000..f9624ec53fdc1bec43f3ae16435c37e8c00044b1 --- /dev/null +++ b/results/Mihaiii__Ivysaur/external/StackExchangeClusteringP2P.json @@ -0,0 +1,1020 @@ +{ + "dataset_revision": "815ca46b2622cec33ccafc3735d572c266efdb44", + "task_name": "StackExchangeClusteringP2P", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "v_measure": 33.56703823226784, + "v_measures": [ + 0.320494817263046, + 0.3250723341694729, + 0.32168615316198984, + 0.31328349679632345, + 0.31938046148819477, + 0.36421160408518477, + 0.3463076518950044, + 0.35187389429456556, + 0.3507929680626984, + 0.3436004420103039, + 0.320494817263046, + 0.3250723341694729, + 0.32168615316198984, + 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a/results/Snowflake__snowflake-arctic-embed-m-long/external/ToxicConversationsClassification.json b/results/Snowflake__snowflake-arctic-embed-m-long/external/ToxicConversationsClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..b08637a86454c1418160ebab073b98eb81e9395d --- /dev/null +++ b/results/Snowflake__snowflake-arctic-embed-m-long/external/ToxicConversationsClassification.json @@ -0,0 +1,20 @@ +{ + "dataset_revision": "edfaf9da55d3dd50d43143d90c1ac476895ae6de", + "task_name": "ToxicConversationsClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "accuracy": 66.739, + "ap": 12.17931839228834, + "f1": 51.05383188624636, + "main_score": 66.739 + } + ] + } +} \ No newline at end of file diff --git a/results/Snowflake__snowflake-arctic-embed-m-long/external/TweetSentimentExtractionClassification.json 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a/results/flaubert__flaubert_base_cased/no_revision_available/AlloprofRetrieval.json b/results/flaubert__flaubert_base_cased/no_revision_available/AlloprofRetrieval.json deleted file mode 100644 index b00d276a7dbf656d2331c0407e58421e38950449..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/AlloprofRetrieval.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": "392ba3f5bcc8c51f578786c1fc3dae648662cb9b", - "mteb_dataset_name": "AlloprofRetrieval", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 56.7, - "map_at_1": 0.00432, - "map_at_10": 0.01115, - "map_at_100": 0.01568, - "map_at_1000": 0.01713, - "map_at_3": 0.00748, - "map_at_5": 0.00973, - "mrr_at_1": 0.00432, - "mrr_at_10": 0.01115, - "mrr_at_100": 0.01568, - "mrr_at_1000": 0.01713, - "mrr_at_3": 0.00748, - "mrr_at_5": 0.00973, - "ndcg_at_1": 0.00432, - "ndcg_at_10": 0.01628, - "ndcg_at_100": 0.04531, - "ndcg_at_1000": 0.09937, - "ndcg_at_3": 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"1.1.2.dev0", - "test": { - "evaluation_time": 18.23, - "fr": { - "accuracy": 0.24904, - "accuracy_stderr": 0.014268510784240943, - "f1": 0.23708482337564699, - "f1_stderr": 0.01696371268042569, - "main_score": 0.24904 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/BSARDRetrieval.json b/results/flaubert__flaubert_base_cased/no_revision_available/BSARDRetrieval.json deleted file mode 100644 index e6de134343ac2f054e3dc066982f4ab0d91f6d72..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/BSARDRetrieval.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": "5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59", - "mteb_dataset_name": "BSARDRetrieval", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 216.35, - "map_at_1": 0.0, - "map_at_10": 0.0, - "map_at_100": 0.00026, - "map_at_1000": 0.00041, - "map_at_3": 0.0, - "map_at_5": 0.0, - "mrr_at_1": 0.0, - 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-{ - "dataset_revision": "5345895c56a601afe1a98519ce3199be60a27dba", - "mteb_dataset_name": "DiaBLaBitextMining", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 10.49, - "fr-en": { - "accuracy": 0.029575504523312455, - "f1": 0.019794424331426672, - "main_score": 0.019794424331426672, - "precision": 0.018162627197522162, - "recall": 0.029575504523312455 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/FloresBitextMining.json b/results/flaubert__flaubert_base_cased/no_revision_available/FloresBitextMining.json deleted file mode 100644 index 67fee6a962fd3032c7abedfc6319130a7ca5544d..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/FloresBitextMining.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "80dc3040d19756742c9a18267ab30f54fb8e226b", - "dev": { - "eng_Latn-fra_Latn": { - "accuracy": 0.3921765295887663, - "f1": 0.3585084545943069, - "main_score": 0.3585084545943069, - "precision": 0.3481872551868668, - "recall": 0.3921765295887663 - }, - "evaluation_time": 5.64, - "fra_Latn-eng_Latn": { - "accuracy": 0.35606820461384153, - "f1": 0.30910998588055993, - "main_score": 0.30910998588055993, - "precision": 0.29847012770187664, - "recall": 0.35606820461384153 - } - }, - "mteb_dataset_name": "FloresBitextMining", - "mteb_version": "1.1.2.dev0" -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/HALClusteringS2S.json b/results/flaubert__flaubert_base_cased/no_revision_available/HALClusteringS2S.json deleted file mode 100644 index 3511181665cb23097437981856b28b8ef5ada81e..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/HALClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "e06ebbbb123f8144bef1a5d18796f3dec9ae2915", - "mteb_dataset_name": "HALClusteringS2S", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 95.15, - "v_measure": 0.03854581426819014, - "v_measure_std": 0.010329432614267367 - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MLSUMClusteringP2P.json b/results/flaubert__flaubert_base_cased/no_revision_available/MLSUMClusteringP2P.json deleted file mode 100644 index cd00facf2c60e0e01b8a01d2e10ac4fd5f02071e..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MLSUMClusteringP2P.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7", - "mteb_dataset_name": "MLSUMClusteringP2P", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 272.46, - "v_measure": 0.3905601625969005, - "v_measure_std": 0.01688757030444382 - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MLSUMClusteringS2S.json b/results/flaubert__flaubert_base_cased/no_revision_available/MLSUMClusteringS2S.json deleted file mode 100644 index 579e2fac81c2d93cbafaaa8866b5e63b8d352551..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MLSUMClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7", - "mteb_dataset_name": "MLSUMClusteringS2S", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 12.91, - "v_measure": 0.171305846850958, - "v_measure_std": 0.012047844138693862 - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MTOPDomainClassification.json b/results/flaubert__flaubert_base_cased/no_revision_available/MTOPDomainClassification.json deleted file mode 100644 index 40f88d279bec5739d2fd0354f40f28dca3193a9b..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MTOPDomainClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf", - "mteb_dataset_name": "MTOPDomainClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 3.87, - "fr": { - "accuracy": 0.2554963983714375, - "accuracy_stderr": 0.029013788796790438, - "f1": 0.22998696018474632, - "f1_stderr": 0.026774700995082997, - "main_score": 0.2554963983714375 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MTOPIntentClassification.json b/results/flaubert__flaubert_base_cased/no_revision_available/MTOPIntentClassification.json deleted file mode 100644 index 82e64cfc92c0b71803ce1c3439c45e266d57750e..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MTOPIntentClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba", - "mteb_dataset_name": "MTOPIntentClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 13.37, - "fr": { - "accuracy": 0.09492640150328843, - "accuracy_stderr": 0.007139589818035351, - "f1": 0.05516274642230916, - "f1_stderr": 0.004960020358989511, - "main_score": 0.09492640150328843 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MasakhaNEWSClassification.json b/results/flaubert__flaubert_base_cased/no_revision_available/MasakhaNEWSClassification.json deleted file mode 100644 index 04867c387c28ee88d7ec4940fd05f96218e70408..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MasakhaNEWSClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClassification", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 28.89, - "fra": { - "accuracy": 0.7113744075829384, - "accuracy_stderr": 0.03374261139588163, - "f1": 0.6610266821624691, - "f1_stderr": 0.034861216618113616, - "main_score": 0.7113744075829384 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MasakhaNEWSClusteringP2P.json b/results/flaubert__flaubert_base_cased/no_revision_available/MasakhaNEWSClusteringP2P.json deleted file mode 100644 index 872a77a25d4daaefec95c290ca4a6734e99dd8e6..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MasakhaNEWSClusteringP2P.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClusteringP2P", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 9.57, - "fra": { - "main_score": 0.41610161746854607, - "v_measure": 0.41610161746854607, - 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b/results/flaubert__flaubert_base_cased/no_revision_available/MassiveIntentClassification.json deleted file mode 100644 index abbd600f81acde94476cbd34dcb2796e9c8f4a20..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MassiveIntentClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7", - "mteb_dataset_name": "MassiveIntentClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 8.42, - "fr": { - "accuracy": 0.06980497646267654, - "accuracy_stderr": 0.012493030588753128, - "f1": 0.06129884805094199, - "f1_stderr": 0.00710556561307934, - "main_score": 0.06980497646267654 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MassiveScenarioClassification.json b/results/flaubert__flaubert_base_cased/no_revision_available/MassiveScenarioClassification.json deleted file mode 100644 index 9e0551417e44bb038e997b1c1860b72769230102..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MassiveScenarioClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634", - "mteb_dataset_name": "MassiveScenarioClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 4.07, - "fr": { - "accuracy": 0.11405514458641561, - "accuracy_stderr": 0.007800361734363964, - "f1": 0.1013861082389141, - "f1_stderr": 0.006543802406434469, - "main_score": 0.11405514458641561 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_cased/no_revision_available/MintakaRetrieval.json b/results/flaubert__flaubert_base_cased/no_revision_available/MintakaRetrieval.json deleted file mode 100644 index b3bcbaa8868bd1078d55f1362bee9a60104c29f7..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_cased/no_revision_available/MintakaRetrieval.json +++ /dev/null @@ -1,40 +0,0 @@ -{ - "dataset_revision": "efa78cc2f74bbcd21eff2261f9e13aebe40b814e", - "mteb_dataset_name": "MintakaRetrieval", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 7.25, - "fr": { - "map_at_1": 0.00123, - "map_at_10": 0.00382, - "map_at_100": 0.00569, - "map_at_1000": 0.00708, - "map_at_3": 0.00239, - "map_at_5": 0.00315, - "mrr_at_1": 0.00123, - "mrr_at_10": 0.00382, - "mrr_at_100": 0.00569, - "mrr_at_1000": 0.00708, - "mrr_at_3": 0.00239, - "mrr_at_5": 0.00315, - "ndcg_at_1": 0.00123, - "ndcg_at_10": 0.00579, - "ndcg_at_100": 0.01901, - "ndcg_at_1000": 0.07942, - "ndcg_at_3": 0.00282, - "ndcg_at_5": 0.00418, - "precision_at_1": 0.00123, - "precision_at_10": 0.00123, - "precision_at_100": 0.00084, - "precision_at_1000": 0.00061, - "precision_at_3": 0.00137, - "precision_at_5": 0.00147, - "recall_at_1": 0.00123, - "recall_at_10": 0.01229, - "recall_at_100": 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a/results/flaubert__flaubert_base_uncased/no_revision_available/STSBenchmarkMultilingualSTS.json b/results/flaubert__flaubert_base_uncased/no_revision_available/STSBenchmarkMultilingualSTS.json deleted file mode 100644 index e3a94efd42e80fc2981f8e26007a3b36ce2c5d6a..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_uncased/no_revision_available/STSBenchmarkMultilingualSTS.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "93d57ef91790589e3ce9c365164337a8a78b7632", - "mteb_dataset_name": "STSBenchmarkMultilingualSTS", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 2.21, - "fr": { - "cos_sim": { - "pearson": 0.3223135684077685, - "spearman": 0.33408260645805227 - }, - "euclidean": { - "pearson": 0.3574750600604372, - "spearman": 0.33408260645805227 - }, - "manhattan": { - "pearson": 0.34997183604765175, - "spearman": 0.32847317099008655 - } - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_uncased/no_revision_available/SummEvalFr.json b/results/flaubert__flaubert_base_uncased/no_revision_available/SummEvalFr.json deleted file mode 100644 index 41135027bf4aab035e03dcfe8ac9449496d645ab..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_base_uncased/no_revision_available/SummEvalFr.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "dataset_revision": "b385812de6a9577b6f4d0f88c6a6e35395a94054", - "mteb_dataset_name": "SummEvalFr", - "mteb_version": "1.1.2.dev0", - "test": { - "cos_sim": { - "pearson": 0.2966345669878592, - "spearman": 0.2942790176376187 - }, - "dot": { - "pearson": 0.29663456470886407, - "spearman": 0.2942790176376187 - }, - "evaluation_time": 7.5 - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_base_uncased/no_revision_available/SyntecReranking.json b/results/flaubert__flaubert_base_uncased/no_revision_available/SyntecReranking.json deleted file mode 100644 index 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a/results/flaubert__flaubert_large_cased/no_revision_available/AmazonReviewsClassification.json b/results/flaubert__flaubert_large_cased/no_revision_available/AmazonReviewsClassification.json deleted file mode 100644 index 0a83f5af95bdd3eb69b98bf4dc3300be7366ab9f..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/AmazonReviewsClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "1399c76144fd37290681b995c656ef9b2e06e26d", - "mteb_dataset_name": "AmazonReviewsClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 40.68, - "fr": { - "accuracy": 0.22446000000000002, - "accuracy_stderr": 0.021360720961615506, - "f1": 0.19851345546310634, - "f1_stderr": 0.03287843905140696, - "main_score": 0.22446000000000002 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/BSARDRetrieval.json 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"mteb_dataset_name": "FloresBitextMining", - "mteb_version": "1.1.2.dev0" -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/HALClusteringS2S.json b/results/flaubert__flaubert_large_cased/no_revision_available/HALClusteringS2S.json deleted file mode 100644 index 16e46ee69c2a8e06c9473a9342576e9f8cb763df..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/HALClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "e06ebbbb123f8144bef1a5d18796f3dec9ae2915", - "mteb_dataset_name": "HALClusteringS2S", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 239.12, - "v_measure": 0.05262528089639844, - "v_measure_std": 0.02016213526049126 - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/MLSUMClusteringP2P.json b/results/flaubert__flaubert_large_cased/no_revision_available/MLSUMClusteringP2P.json deleted file mode 100644 index 9ebfd8f7b51db5c4778c4d596e58acb5a04c45f4..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/MLSUMClusteringP2P.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7", - "mteb_dataset_name": "MLSUMClusteringP2P", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 537.73, - "v_measure": 0.3809040459534752, - "v_measure_std": 0.01563751614428723 - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/MLSUMClusteringS2S.json b/results/flaubert__flaubert_large_cased/no_revision_available/MLSUMClusteringS2S.json deleted file mode 100644 index 57d16d14fe423c11b4ad2b0d5f4ed87fae203a2d..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/MLSUMClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": 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0.17912947543618193, - "f1_stderr": 0.03907917634862998, - "main_score": 0.24265580958346383 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/MTOPIntentClassification.json b/results/flaubert__flaubert_large_cased/no_revision_available/MTOPIntentClassification.json deleted file mode 100644 index 5d300a2c29c12b60e35ec33f44013933c75a7cb6..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/MTOPIntentClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba", - "mteb_dataset_name": "MTOPIntentClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 23.1, - "fr": { - "accuracy": 0.09790165988098966, - "accuracy_stderr": 0.0238848347484656, - "f1": 0.03878546488324229, - "f1_stderr": 0.0037467192720323154, - "main_score": 0.09790165988098966 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClassification.json b/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClassification.json deleted file mode 100644 index 889e6ccca699c269c2f696f7fad3792ea371e223..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClassification", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 50.13, - "fra": { - "accuracy": 0.5563981042654029, - "accuracy_stderr": 0.04863076568657951, - "f1": 0.5172027103461494, - "f1_stderr": 0.04156040997081097, - "main_score": 0.5563981042654029 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClusteringP2P.json b/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClusteringP2P.json deleted file mode 100644 index 8013e8fdfcd60949d4fc1de44b25acd3aa77f883..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClusteringP2P.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClusteringP2P", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 16.76, - "fra": { - "main_score": 0.2642955329593683, - "v_measure": 0.2642955329593683, - "v_measure_std": 0.37519818123618687 - } - } -} \ No newline at end of file diff --git a/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClusteringS2S.json b/results/flaubert__flaubert_large_cased/no_revision_available/MasakhaNEWSClusteringS2S.json deleted file mode 100644 index e7636c7d71bb8011b02eee9452eef664980f9a2e..0000000000000000000000000000000000000000 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a/results/flaubert__flaubert_large_cased/no_revision_available/XPQARetrieval.json b/results/flaubert__flaubert_large_cased/no_revision_available/XPQARetrieval.json deleted file mode 100644 index d99994c931b26c1a14cfe7da9f65e2670f37ad5b..0000000000000000000000000000000000000000 --- a/results/flaubert__flaubert_large_cased/no_revision_available/XPQARetrieval.json +++ /dev/null @@ -1,40 +0,0 @@ -{ - "dataset_revision": "c99d599f0a6ab9b85b065da6f9d94f9cf731679f", - "mteb_dataset_name": "XPQARetrieval", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 6.91, - "fr": { - "map_at_1": 0.02221, - "map_at_10": 0.02909, - "map_at_100": 0.03244, - "map_at_1000": 0.03442, - "map_at_3": 0.02615, - "map_at_5": 0.0277, - "mrr_at_1": 0.03471, - "mrr_at_10": 0.04404, - "mrr_at_100": 0.04854, - "mrr_at_1000": 0.05027, - "mrr_at_3": 0.03983, - "mrr_at_5": 0.04237, - "ndcg_at_1": 0.03471, - "ndcg_at_10": 0.03694, - "ndcg_at_100": 0.05939, - "ndcg_at_1000": 0.13767, - "ndcg_at_3": 0.03139, - 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a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MLSUMClusteringS2S.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/MLSUMClusteringS2S.json deleted file mode 100644 index 4172e43478cd8ca0f371538d1515b3adb86e74ae..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MLSUMClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7", - "mteb_dataset_name": "MLSUMClusteringS2S", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 13.72, - "v_measure": 0.3179683201467264, - "v_measure_std": 0.015918356657951774 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MTOPDomainClassification.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/MTOPDomainClassification.json deleted file mode 100644 index de16632ac62bff78fb1535f329323c7a488a4ff7..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MTOPDomainClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf", - "mteb_dataset_name": "MTOPDomainClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 4.12, - "fr": { - "accuracy": 0.6361102411525212, - "accuracy_stderr": 0.026363581772721096, - "f1": 0.6348665795184951, - "f1_stderr": 0.026164199023442088, - "main_score": 0.6361102411525212 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MTOPIntentClassification.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/MTOPIntentClassification.json deleted file mode 100644 index 4f0a4ee8f0f96d2d983eac9a444166df86cf7588..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MTOPIntentClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba", - "mteb_dataset_name": "MTOPIntentClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 13.89, - "fr": { - "accuracy": 0.3783589101158785, - "accuracy_stderr": 0.019133763775610872, - "f1": 0.26327592611679435, - "f1_stderr": 0.007279375665312622, - "main_score": 0.3783589101158785 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MasakhaNEWSClassification.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/MasakhaNEWSClassification.json deleted file mode 100644 index 48422e45fc6ac7eb71ec3a71c7e997572d736eec..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MasakhaNEWSClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClassification", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 18.22, - "fra": { - "accuracy": 0.6400473933649289, - "accuracy_stderr": 0.05372879828327493, - "f1": 0.6040742000411077, - "f1_stderr": 0.05127789414986886, - "main_score": 0.6400473933649289 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MasakhaNEWSClusteringP2P.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/MasakhaNEWSClusteringP2P.json deleted file mode 100644 index acaef59e5184af556630cb0cd34e5698e640cbf2..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MasakhaNEWSClusteringP2P.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - 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end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MassiveScenarioClassification.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/MassiveScenarioClassification.json deleted file mode 100644 index e31aee8c57dd1ec0cdb9e021703518c1fedb1599..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/MassiveScenarioClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634", - "mteb_dataset_name": "MassiveScenarioClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 4.96, - "fr": { - "accuracy": 0.44465366509751175, - "accuracy_stderr": 0.016069111837315304, - "f1": 0.42328909611446236, - "f1_stderr": 0.014946349044342928, - "main_score": 0.44465366509751175 - } - } -} \ No newline at end of file diff --git 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"evaluation_time": 4.99, - "manhattan": { - "pearson": 0.591035222720417, - "spearman": 0.5875914999025948 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/STS22.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/STS22.json deleted file mode 100644 index d684821c6dfbc1a3aec8e05ed9aec6b789637aa9..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/STS22.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "6d1ba47164174a496b7fa5d3569dae26a6813b80", - "mteb_dataset_name": "STS22", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 1.88, - "fr": { - "cos_sim": { - "pearson": 0.26663858506035065, - "spearman": 0.3904525758557057 - }, - "euclidean": { - "pearson": 0.3346054466010741, - "spearman": 0.3904525758557057 - }, - "manhattan": { - "pearson": 0.3400313545000349, - "spearman": 0.3950822294088128 - } - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/STSBenchmarkMultilingualSTS.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/STSBenchmarkMultilingualSTS.json deleted file mode 100644 index 3f18526dcbb92b47a6583cc0852a17478e70ed33..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/STSBenchmarkMultilingualSTS.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "93d57ef91790589e3ce9c365164337a8a78b7632", - "mteb_dataset_name": "STSBenchmarkMultilingualSTS", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 2.45, - "fr": { - "cos_sim": { - "pearson": 0.5323480547503714, - "spearman": 0.5224722935490146 - }, - "euclidean": { - "pearson": 0.5325607485811542, - "spearman": 0.5224722935490146 - }, - "manhattan": { - "pearson": 0.5328521934934961, - "spearman": 0.5221665677773611 - } - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/SummEvalFr.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/SummEvalFr.json deleted file mode 100644 index 72e5e47d014603a7b11535ef2ec1773c21b8e083..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/SummEvalFr.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "dataset_revision": "b385812de6a9577b6f4d0f88c6a6e35395a94054", - "mteb_dataset_name": "SummEvalFr", - "mteb_version": "1.1.2.dev0", - "test": { - "cos_sim": { - "pearson": 0.2929603489340598, - "spearman": 0.28807795872171416 - }, - "dot": { - "pearson": 0.29296034856083586, - "spearman": 0.28807795872171416 - }, - "evaluation_time": 7.0 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/SyntecReranking.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/SyntecReranking.json deleted file mode 100644 index dda6dae14a8998918c8fe0f76c37c8b27059b14e..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/SyntecReranking.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b205c5084a0934ce8af14338bf03feb19499c84d", - "mteb_dataset_name": "SyntecReranking", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 18.53, - "map": 0.5325, - "mrr": 0.5325 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/SyntecRetrieval.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/SyntecRetrieval.json deleted file mode 100644 index 6b4593bf748507ba7953a89f4179105c101630f3..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/SyntecRetrieval.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": "77f7e271bf4a92b24fce5119f3486b583ca016ff", - "mteb_dataset_name": "SyntecRetrieval", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 2.65, - "map_at_1": 0.04, - "map_at_10": 0.12335, - "map_at_100": 0.14793, - "map_at_1000": 0.14793, - "map_at_3": 0.07667, - "map_at_5": 0.10267, - "mrr_at_1": 0.04, - "mrr_at_10": 0.12335, - "mrr_at_100": 0.14793, - "mrr_at_1000": 0.14793, - "mrr_at_3": 0.07667, - "mrr_at_5": 0.10267, - "ndcg_at_1": 0.04, - "ndcg_at_10": 0.18948, - "ndcg_at_100": 0.31425, - "ndcg_at_1000": 0.31425, - "ndcg_at_3": 0.09024, - "ndcg_at_5": 0.13841, - "precision_at_1": 0.04, - "precision_at_10": 0.041, - "precision_at_100": 0.01, - "precision_at_1000": 0.001, - "precision_at_3": 0.04333, - "precision_at_5": 0.05, - "recall_at_1": 0.04, - "recall_at_10": 0.41, - "recall_at_100": 1.0, - "recall_at_1000": 1.0, - "recall_at_3": 0.13, - "recall_at_5": 0.25 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-cased/no_revision_available/XPQARetrieval.json b/results/google-bert__bert-base-multilingual-cased/no_revision_available/XPQARetrieval.json deleted file mode 100644 index 92e86cee3ba891ab84e4bdeda29d2cea6abd63d6..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-cased/no_revision_available/XPQARetrieval.json +++ /dev/null @@ -1,40 +0,0 @@ -{ - "dataset_revision": "c99d599f0a6ab9b85b065da6f9d94f9cf731679f", - "mteb_dataset_name": "XPQARetrieval", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 3.57, - "fr": { - "map_at_1": 0.09944, - "map_at_10": 0.14971, - "map_at_100": 0.16189, - "map_at_1000": 0.16456, - "map_at_3": 0.13322, - "map_at_5": 0.14169, - "mrr_at_1": 0.16956, - "mrr_at_10": 0.21509, - "mrr_at_100": 0.22452, - "mrr_at_1000": 0.22582, - "mrr_at_3": 0.20227, - "mrr_at_5": 0.20774, - 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a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/DiaBLaBitextMining.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "5345895c56a601afe1a98519ce3199be60a27dba", - "mteb_dataset_name": "DiaBLaBitextMining", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 10.39, - "fr-en": { - "accuracy": 0.40066109951287404, - "f1": 0.35599847600583656, - "main_score": 0.35599847600583656, - "precision": 0.3424146592492549, - "recall": 0.40066109951287404 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/FloresBitextMining.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/FloresBitextMining.json deleted file mode 100644 index 6b8006bf669436b233fb5e65e80f2149ff20768a..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/FloresBitextMining.json +++ /dev/null @@ -1,22 +0,0 @@ -{ 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a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/HALClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "e06ebbbb123f8144bef1a5d18796f3dec9ae2915", - "mteb_dataset_name": "HALClusteringS2S", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 89.52, - "v_measure": 0.20898202989834286, - "v_measure_std": 0.031643402185562136 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MLSUMClusteringP2P.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MLSUMClusteringP2P.json deleted file mode 100644 index 39169bf22f51ced1de6beda0c5bb632a705fb6be..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MLSUMClusteringP2P.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b5d54f8f3b61ae17845046286940f03c6bc79bc7", - "mteb_dataset_name": "MLSUMClusteringP2P", - 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a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MTOPDomainClassification.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MTOPDomainClassification.json deleted file mode 100644 index 1a3e016cee6b4cea2a3243e2bf9e397e13bf063b..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MTOPDomainClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf", - "mteb_dataset_name": "MTOPDomainClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 4.05, - "fr": { - "accuracy": 0.644910742248669, - "accuracy_stderr": 0.01832643987134168, - "f1": 0.6393022871935163, - "f1_stderr": 0.021134865934139158, - "main_score": 0.644910742248669 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MTOPIntentClassification.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MTOPIntentClassification.json deleted file mode 100644 index 73955364dcc116ee1cfaa01d72d272f69ab1e3e5..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MTOPIntentClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba", - "mteb_dataset_name": "MTOPIntentClassification", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 14.68, - "fr": { - "accuracy": 0.39401816473535856, - "accuracy_stderr": 0.02630920684372251, - "f1": 0.2551987977789928, - "f1_stderr": 0.010089981460469327, - "main_score": 0.39401816473535856 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClassification.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClassification.json deleted file mode 100644 index 8817f535a57942fb1b7e64db089dabb564203a6d..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClassification", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 19.44, - "fra": { - "accuracy": 0.756872037914692, - "accuracy_stderr": 0.03540573022866304, - "f1": 0.7118310008631201, - "f1_stderr": 0.03527102675525154, - "main_score": 0.756872037914692 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClusteringP2P.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClusteringP2P.json deleted file mode 100644 index 9c5b22d5ca9177ad968bcebcb85f154a84173674..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClusteringP2P.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClusteringP2P", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 4.82, - "fra": { - "main_score": 0.49713405615266326, - "v_measure": 0.49713405615266326, - "v_measure_std": 0.283487983104256 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClusteringS2S.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClusteringS2S.json deleted file mode 100644 index 2e77145c939b4b63aa611c9117df95c74f039ee9..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MasakhaNEWSClusteringS2S.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "8ccc72e69e65f40c70e117d8b3c08306bb788b60", - "mteb_dataset_name": "MasakhaNEWSClusteringS2S", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 0.74, - "fra": { - "main_score": 0.422255814870678, - "v_measure": 0.422255814870678, - "v_measure_std": 0.3724861798414573 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MassiveIntentClassification.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/MassiveIntentClassification.json deleted file mode 100644 index 562aa1e2e41fa7356f450ff4553fdfa2aedc4d40..0000000000000000000000000000000000000000 --- 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No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/OpusparcusPC.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/OpusparcusPC.json deleted file mode 100644 index 6354c2292f72b89392a4b2e3168048bab0368729..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/OpusparcusPC.json +++ /dev/null @@ -1,97 +0,0 @@ -{ - "dataset_revision": "9e9b1f8ef51616073f47f306f7f47dd91663f86a", - "mteb_dataset_name": "OpusparcusPC", - "mteb_version": "1.6.7", - "test.full": { - "evaluation_time": 1.88, - "fr": { - "cos_sim": { - "accuracy": 0.7322888283378747, - "accuracy_threshold": 0.6937381029129028, - "ap": 0.8743393906507683, - "f1": 0.8257839721254356, - "f1_threshold": 0.6339144706726074, - "precision": 0.7354538401861909, - "recall": 0.9414101290963257 - }, - "dot": { - "accuracy": 0.7057220708446866, - "accuracy_threshold": 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} - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/PawsXPairClassification.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/PawsXPairClassification.json deleted file mode 100644 index 01869095d4cb261e604943cbaa6832b03b3a865b..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/PawsXPairClassification.json +++ /dev/null @@ -1,51 +0,0 @@ -{ - "dataset_revision": "8a04d940a42cd40658986fdd8e3da561533a3646", - "mteb_dataset_name": "PawsXPairClassification", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 3.96, - "fr": { - "cos_sim": { - "accuracy": 0.578, - "accuracy_threshold": 0.9884029145948847, - "ap": 0.5322360899538218, - "f1": 0.6257839721254355, - "f1_threshold": 0.8928437828183153, - "precision": 0.456532791052364, - "recall": 0.9944629014396457 - }, - "dot": { - "accuracy": 0.578, - 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b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SICKFr.json deleted file mode 100644 index 5ebe24c3f64de5b71f2ef4b74dd1c539334b729b..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SICKFr.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "dataset_revision": "e077ab4cf4774a1e36d86d593b150422fafd8e8a", - "mteb_dataset_name": "SICKFr", - "mteb_version": "1.1.2.dev0", - "test": { - "cos_sim": { - "pearson": 0.5817791249083761, - "spearman": 0.5826449144443914 - }, - "euclidean": { - "pearson": 0.5834170456509409, - "spearman": 0.5826445480408944 - }, - "evaluation_time": 4.75, - "manhattan": { - "pearson": 0.586166086252326, - "spearman": 0.584636575564612 - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/STS22.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/STS22.json deleted file mode 100644 index bde4b9a32229067d5dc1e38b9cec0ddc566c2636..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/STS22.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "6d1ba47164174a496b7fa5d3569dae26a6813b80", - "mteb_dataset_name": "STS22", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 1.9, - "fr": { - "cos_sim": { - "pearson": 0.2534156465043172, - "spearman": 0.5647457412587442 - }, - "euclidean": { - "pearson": 0.3730480282267507, - "spearman": 0.5647457412587442 - }, - "manhattan": { - "pearson": 0.3984771129739965, - "spearman": 0.5642473335795819 - } - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/STSBenchmarkMultilingualSTS.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/STSBenchmarkMultilingualSTS.json deleted file mode 100644 index f5c0ec913607f92e8416eb1640c5c522638f3cbf..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/STSBenchmarkMultilingualSTS.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "93d57ef91790589e3ce9c365164337a8a78b7632", - "mteb_dataset_name": "STSBenchmarkMultilingualSTS", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 2.33, - "fr": { - "cos_sim": { - "pearson": 0.5392299721814288, - "spearman": 0.5497353309633939 - }, - "euclidean": { - "pearson": 0.5584068286589587, - "spearman": 0.5497353309633939 - }, - "manhattan": { - "pearson": 0.5595618000600633, - "spearman": 0.5509071243053898 - } - } - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SummEvalFr.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SummEvalFr.json deleted file mode 100644 index 0a116b4b295b222a949b8d0810e755ac373862fd..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SummEvalFr.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "dataset_revision": "b385812de6a9577b6f4d0f88c6a6e35395a94054", - "mteb_dataset_name": "SummEvalFr", - "mteb_version": "1.1.2.dev0", - "test": { - "cos_sim": { - "pearson": 0.3065393028288932, - "spearman": 0.3072334740467725 - }, - "dot": { - "pearson": 0.30653918512479417, - "spearman": 0.3072334740467725 - }, - "evaluation_time": 6.74 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SyntecReranking.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SyntecReranking.json deleted file mode 100644 index d81ea1029d7c5020ed14b382338fa048afa8283b..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SyntecReranking.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "b205c5084a0934ce8af14338bf03feb19499c84d", - "mteb_dataset_name": "SyntecReranking", - "mteb_version": "1.1.2.dev0", - "test": { - "evaluation_time": 6.34, - "map": 0.664, - "mrr": 0.664 - } -} \ No newline at end of file diff --git a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SyntecRetrieval.json b/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SyntecRetrieval.json deleted file mode 100644 index 3ca9c6182102255bb6a133b90c81e83920f050e7..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/SyntecRetrieval.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": "77f7e271bf4a92b24fce5119f3486b583ca016ff", - "mteb_dataset_name": "SyntecRetrieval", - "mteb_version": "1.1.2.dev0", - "test": { - 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file mode 100644 index 3c99b31d6cbee2826b36e4fa389aac89a57ca5f2..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-multilingual-uncased/no_revision_available/XPQARetrieval.json +++ /dev/null @@ -1,40 +0,0 @@ -{ - "dataset_revision": "c99d599f0a6ab9b85b065da6f9d94f9cf731679f", - "mteb_dataset_name": "XPQARetrieval", - "mteb_version": "1.1.3.dev0", - "test": { - "evaluation_time": 3.54, - "fr": { - "map_at_1": 0.13689, - "map_at_10": 0.21576, - "map_at_100": 0.2273, - "map_at_1000": 0.22962, - "map_at_3": 0.18998, - "map_at_5": 0.20365, - "mrr_at_1": 0.24833, - "mrr_at_10": 0.29909, - "mrr_at_100": 0.3067, - "mrr_at_1000": 0.30786, - "mrr_at_3": 0.28104, - "mrr_at_5": 0.29192, - "ndcg_at_1": 0.24833, - "ndcg_at_10": 0.26117, - "ndcg_at_100": 0.31139, - "ndcg_at_1000": 0.36771, - "ndcg_at_3": 0.23139, - "ndcg_at_5": 0.23844, - "precision_at_1": 0.24833, - "precision_at_10": 0.06595, - "precision_at_100": 0.01113, - "precision_at_1000": 0.0019, - 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a/results/google-bert__bert-base-uncased/no_revision_available/ArxivClusteringS2S.json b/results/google-bert__bert-base-uncased/no_revision_available/ArxivClusteringS2S.json deleted file mode 100644 index 4f951de953d7c6147dda2d7871839616d0f70622..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/ArxivClusteringS2S.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 480.46, - "v_measure": 0.2750822951507033, - "v_measure_std": 0.15197966694489556 - }, - "mteb_dataset_name": "ArxivClusteringS2S", - "dataset_revision": "b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3" -} \ No newline at end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/AskUbuntuDupQuestions.json b/results/google-bert__bert-base-uncased/no_revision_available/AskUbuntuDupQuestions.json deleted file mode 100644 index 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a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackEnglishRetrieval.json b/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackEnglishRetrieval.json deleted file mode 100644 index 6e0ba8492aa1c97026927e2a66257f07e287a936..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackEnglishRetrieval.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 112.95, - "map_at_1": 0.04759, - "map_at_10": 0.068, - "map_at_100": 0.0728, - "map_at_1000": 0.07378, - "map_at_3": 0.06203, - "map_at_5": 0.06482, - "ndcg_at_1": 0.06242, - "ndcg_at_10": 0.08378, - "ndcg_at_100": 0.10962, - "ndcg_at_1000": 0.13854, - "ndcg_at_3": 0.07247, - "ndcg_at_5": 0.07666, - "precision_at_1": 0.06242, - "precision_at_10": 0.0165, - "precision_at_100": 0.00392, - "precision_at_1000": 0.00086, - "precision_at_3": 0.03503, - "precision_at_5": 0.02522, - "recall_at_1": 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a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackGisRetrieval.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 200.06, - "map_at_1": 0.02448, - "map_at_10": 0.03701, - "map_at_100": 0.04009, - "map_at_1000": 0.04084, - "map_at_3": 0.03324, - "map_at_5": 0.03492, - "ndcg_at_1": 0.02599, - "ndcg_at_10": 0.04495, - "ndcg_at_100": 0.06261, - "ndcg_at_1000": 0.0874, - "ndcg_at_3": 0.03655, - "ndcg_at_5": 0.03944, - "precision_at_1": 0.02599, - "precision_at_10": 0.0078, - "precision_at_100": 0.00176, - "precision_at_1000": 0.00042, - "precision_at_3": 0.01544, - "precision_at_5": 0.01107, - "recall_at_1": 0.02448, - "recall_at_10": 0.0679, - "recall_at_100": 0.15341, - "recall_at_1000": 0.35011, - "recall_at_3": 0.04369, - "recall_at_5": 0.05085 - }, - "mteb_dataset_name": "CQADupstackGisRetrieval", - "dataset_revision": "2b9f5791698b5be7bc5e10535c8690f20043c3db" -} \ No newline at end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackMathematicaRetrieval.json b/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackMathematicaRetrieval.json deleted file mode 100644 index db0d4788a0bd0e749463998731ddfc49ac1f1e2a..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackMathematicaRetrieval.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 119.56, - "map_at_1": 0.01005, - "map_at_10": 0.01655, - "map_at_100": 0.0193, - "map_at_1000": 0.02006, - "map_at_3": 0.01515, - "map_at_5": 0.01581, - "ndcg_at_1": 0.01368, - "ndcg_at_10": 0.02122, - "ndcg_at_100": 0.03802, - "ndcg_at_1000": 0.06654, - "ndcg_at_3": 0.01813, - "ndcg_at_5": 0.01917, - "precision_at_1": 0.01368, - "precision_at_10": 0.00423, - "precision_at_100": 0.00159, - "precision_at_1000": 0.00052, - "precision_at_3": 0.00912, - "precision_at_5": 0.00647, - 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--git a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackRetrieval.json b/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackRetrieval.json deleted file mode 100644 index 4e126c495afecae9265f0dc4da51dc39f58cc1bb..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/CQADupstackRetrieval.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 271.39, - "map_at_1": 0.02837166666666667, - "map_at_10": 0.04359083333333333, - "map_at_100": 0.04751833333333334, - "map_at_1000": 0.04842583333333333, - "map_at_3": 0.038552499999999996, - "map_at_5": 0.0409875, - "ndcg_at_1": 0.03508166666666667, - "ndcg_at_10": 0.05506583333333333, - "ndcg_at_100": 0.07784416666666666, - "ndcg_at_1000": 0.10699500000000002, - "ndcg_at_3": 0.04484666666666667, - "ndcg_at_5": 0.04884666666666666, - "precision_at_1": 0.03508166666666667, - "precision_at_10": 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mode 100644 index 12e5466ffccaabde0ae2c8d81f5e67d4182b11d6..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/SprintDuplicateQuestions.json +++ /dev/null @@ -1,49 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "cos_sim": { - "accuracy": 0.9915544554455445, - "accuracy_threshold": 0.8895772099494934, - "ap": 0.36808703728970593, - "f1": 0.41623188405797096, - "f1_threshold": 0.8615003824234009, - "precision": 0.49517241379310345, - "recall": 0.359 - }, - "dot": { - "accuracy": 0.9902277227722772, - "accuracy_threshold": 90.98898315429688, - "ap": 0.1354395905042614, - "f1": 0.2188782489740082, - "f1_threshold": 76.34677124023438, - "precision": 0.20117351215423301, - "recall": 0.24 - }, - "euclidean": { - "accuracy": 0.9914950495049505, - "accuracy_threshold": 4.331961631774902, - "ap": 0.36368672282362163, - "f1": 0.4045926735921269, - "f1_threshold": 4.889832496643066, - "precision": 0.44632086851628466, - "recall": 0.37 - 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newline at end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/StackOverflowDupQuestions.json b/results/google-bert__bert-base-uncased/no_revision_available/StackOverflowDupQuestions.json deleted file mode 100644 index 0e18bf7020b6e8c2614313f28aa03b0afc3ccbf4..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/StackOverflowDupQuestions.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 37.21, - "map": 0.34615478798860166, - "mrr": 0.3447363604532722 - }, - "mteb_dataset_name": "StackOverflowDupQuestions", - "dataset_revision": "ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9" -} \ No newline at end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/SummEval.json b/results/google-bert__bert-base-uncased/no_revision_available/SummEval.json deleted file mode 100644 index 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end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/TweetSentimentExtractionClassification.json b/results/google-bert__bert-base-uncased/no_revision_available/TweetSentimentExtractionClassification.json deleted file mode 100644 index 4953efbbf9ed1bf28a84009850b59b77470939ba..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/TweetSentimentExtractionClassification.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "accuracy": 0.5180814940577249, - "accuracy_stderr": 0.012670061696282221, - "evaluation_time": 12.36, - "f1": 0.5197555285534177, - "f1_stderr": 0.01382464106496954, - "main_score": 0.5180814940577249 - }, - "mteb_dataset_name": "TweetSentimentExtractionClassification", - "dataset_revision": "62146448f05be9e52a36b8ee9936447ea787eede" -} \ No newline at end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/TwentyNewsgroupsClustering.json b/results/google-bert__bert-base-uncased/no_revision_available/TwentyNewsgroupsClustering.json deleted file mode 100644 index 465b18dba17751e87b65e2de5f13ab7419413d99..0000000000000000000000000000000000000000 --- a/results/google-bert__bert-base-uncased/no_revision_available/TwentyNewsgroupsClustering.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "mteb_version": "0.0.2", - "test": { - "evaluation_time": 31.81, - "v_measure": 0.23354321403189832, - "v_measure_std": 0.02300649305234383 - }, - "mteb_dataset_name": "TwentyNewsgroupsClustering", - "dataset_revision": "091a54f9a36281ce7d6590ec8c75dd485e7e01d4" -} \ No newline at end of file diff --git a/results/google-bert__bert-base-uncased/no_revision_available/TwitterSemEval2015.json b/results/google-bert__bert-base-uncased/no_revision_available/TwitterSemEval2015.json deleted file mode 100644 index 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newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/STS13.json b/results/google-gecko__text-embedding-004-256/no_revision_available/STS13.json deleted file mode 100644 index cc6740c4042d6e26c7872d28e8b3586fe78b5b81..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/STS13.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "dataset_revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca", - "mteb_dataset_name": "STS13", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "pearson": 0.8891513564172031, - "spearman": 0.9010002157031564 - }, - "euclidean": { - "pearson": 0.8937863862459686, - "spearman": 0.8999984655243501 - }, - "evaluation_time": 589.81, - "manhattan": { - "pearson": 0.8923351296119455, - "spearman": 0.8983118300775196 - } - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/STS14.json 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a/results/google-gecko__text-embedding-004-256/no_revision_available/SciFact.json b/results/google-gecko__text-embedding-004-256/no_revision_available/SciFact.json deleted file mode 100644 index d8bd56fed80fb3dc4755c61f434ddf4314db1c1a..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/SciFact.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": null, - "mteb_dataset_name": "SciFact", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 647.98, - "map_at_1": 0.56578, - "map_at_10": 0.66455, - "map_at_100": 0.67195, - "map_at_1000": 0.6722, - "map_at_3": 0.64247, - "map_at_5": 0.65493, - "mrr_at_1": 0.1605, - "mrr_at_10": 0.18272, - "mrr_at_100": 0.18424, - "mrr_at_1000": 0.1843, - "mrr_at_3": 0.17824, - "mrr_at_5": 0.18067, - "ndcg_at_1": 0.59333, - "ndcg_at_10": 0.70858, - "ndcg_at_100": 0.73685, - "ndcg_at_1000": 0.74187, - "ndcg_at_3": 0.67121, - "ndcg_at_5": 0.68827, - "precision_at_1": 0.59333, - 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b/results/google-gecko__text-embedding-004-256/no_revision_available/StackExchangeClusteringP2P.json deleted file mode 100644 index 9428ccf29a4332328e314dd68b50661cf6f96d79..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/StackExchangeClusteringP2P.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "815ca46b2622cec33ccafc3735d572c266efdb44", - "mteb_dataset_name": "StackExchangeClusteringP2P", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 4313.42, - "v_measure": 0.361043743474582, - "v_measure_std": 0.015646133793676187 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/StackOverflowDupQuestions.json b/results/google-gecko__text-embedding-004-256/no_revision_available/StackOverflowDupQuestions.json deleted file mode 100644 index cebca90537f84e5c1a8d2a6fae3bc9ec56915fb7..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/StackOverflowDupQuestions.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "e185fbe320c72810689fc5848eb6114e1ef5ec69", - "mteb_dataset_name": "StackOverflowDupQuestions", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 643.94, - "map": 0.5375515199721693, - "mrr": 0.5469866734572617 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/SummEval.json b/results/google-gecko__text-embedding-004-256/no_revision_available/SummEval.json deleted file mode 100644 index 264cabca13097b275e5ea69aadd09358d71b7b59..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/SummEval.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "dataset_revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c", - "mteb_dataset_name": "SummEval", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - 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a/results/google-gecko__text-embedding-004-256/no_revision_available/ToxicConversationsClassification.json b/results/google-gecko__text-embedding-004-256/no_revision_available/ToxicConversationsClassification.json deleted file mode 100644 index bdf77b52a37a5302f5920bea54b8dc1311d4c909..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/ToxicConversationsClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "d7c0de2777da35d6aae2200a62c6e0e5af397c4c", - "mteb_dataset_name": "ToxicConversationsClassification", - "mteb_version": "1.0.3.dev0", - "test": { - "accuracy": 0.88331, - "accuracy_stderr": 0.012239971405195367, - "ap": 0.33691924028251746, - "ap_stderr": 0.01450391253936986, - "evaluation_time": 8681.1, - "f1": 0.7317792913117287, - "f1_stderr": 0.013344070687911035, - "main_score": 0.88331 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/TweetSentimentExtractionClassification.json b/results/google-gecko__text-embedding-004-256/no_revision_available/TweetSentimentExtractionClassification.json deleted file mode 100644 index 2e717b234457f999071b786bd678cf3261a109ab..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/TweetSentimentExtractionClassification.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a", - "mteb_dataset_name": "TweetSentimentExtractionClassification", - "mteb_version": "1.0.3.dev0", - "test": { - "accuracy": 0.7297113752122242, - "accuracy_stderr": 0.005787733586090692, - "evaluation_time": 10677.39, - "f1": 0.7293670473268639, - "f1_stderr": 0.006693406742049476, - "main_score": 0.7297113752122242 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/TwentyNewsgroupsClustering.json b/results/google-gecko__text-embedding-004-256/no_revision_available/TwentyNewsgroupsClustering.json deleted file mode 100644 index 4050009dc44a30e504092e973460c91da559500e..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004-256/no_revision_available/TwentyNewsgroupsClustering.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "6125ec4e24fa026cec8a478383ee943acfbd5449", - "mteb_dataset_name": "TwentyNewsgroupsClustering", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 34075.14, - "v_measure": 0.5060188079447253, - "v_measure_std": 0.020158179698286816 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004-256/no_revision_available/TwitterSemEval2015.json b/results/google-gecko__text-embedding-004-256/no_revision_available/TwitterSemEval2015.json deleted file mode 100644 index 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0.4592327989566134, - "f1_stderr": 0.03843088100749563, - "main_score": 0.51166 - }, - "evaluation_time": 6845.26 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/ArguAna.json b/results/google-gecko__text-embedding-004/no_revision_available/ArguAna.json deleted file mode 100644 index c4f65f0b810423fad3908078d9262959f2131c6f..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/ArguAna.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": null, - "mteb_dataset_name": "ArguAna", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 258.26, - "map_at_1": 0.37269, - "map_at_10": 0.5355, - "map_at_100": 0.54145, - "map_at_1000": 0.54148, - "map_at_3": 0.49028, - "map_at_5": 0.51713, - "mrr_at_1": 0.37838, - "mrr_at_10": 0.53758, - "mrr_at_100": 0.54339, - "mrr_at_1000": 0.54343, - "mrr_at_3": 0.49241, - "mrr_at_5": 0.51908, - "ndcg_at_1": 0.37269, - 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a/results/google-gecko__text-embedding-004/no_revision_available/AskUbuntuDupQuestions.json b/results/google-gecko__text-embedding-004/no_revision_available/AskUbuntuDupQuestions.json deleted file mode 100644 index cd9aa179512a79a3b791c48e2726b68930d10209..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/AskUbuntuDupQuestions.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "2000358ca161889fa9c082cb41daa8dcfb161a54", - "mteb_dataset_name": "AskUbuntuDupQuestions", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 542.54, - "map": 0.643974920082327, - "mrr": 0.7755781998856791 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/BIOSSES.json b/results/google-gecko__text-embedding-004/no_revision_available/BIOSSES.json deleted file mode 100644 index 0d64158b4b4f25e21afa7eb099b0ddf218f42619..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/BIOSSES.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "dataset_revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a", - "mteb_dataset_name": "BIOSSES", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "pearson": 0.9116911796213083, - "spearman": 0.8945505034219908 - }, - "euclidean": { - "pearson": 0.898340475834914, - "spearman": 0.8945505034219908 - }, - "evaluation_time": 68.31, - "manhattan": { - "pearson": 0.8967573863672864, - "spearman": 0.8918456225123359 - } - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/Banking77Classification.json b/results/google-gecko__text-embedding-004/no_revision_available/Banking77Classification.json deleted file mode 100644 index 78aeea894628e493c7eb0ef6453c2dcbbb80defc..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/Banking77Classification.json +++ 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a/results/google-gecko__text-embedding-004/no_revision_available/RedditClustering.json b/results/google-gecko__text-embedding-004/no_revision_available/RedditClustering.json deleted file mode 100644 index ac78cc6f400b289daf67c193f2c4334b9e742582..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/RedditClustering.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "24640382cdbf8abc73003fb0fa6d111a705499eb", - "mteb_dataset_name": "RedditClustering", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 5714.98, - "v_measure": 0.6580701544216176, - "v_measure_std": 0.04134485324808942 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/RedditClusteringP2P.json b/results/google-gecko__text-embedding-004/no_revision_available/RedditClusteringP2P.json deleted file mode 100644 index 961265981c3adeb36f4fd75b93853357e2a1508c..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/RedditClusteringP2P.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "282350215ef01743dc01b456c7f5241fa8937f16", - "mteb_dataset_name": "RedditClusteringP2P", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 6706.43, - "v_measure": 0.6662193402354416, - "v_measure_std": 0.12270375007965578 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/Robust04InstructionRetrieval.json b/results/google-gecko__text-embedding-004/no_revision_available/Robust04InstructionRetrieval.json deleted file mode 100644 index bc7a35e969836b221f16943d749283efe6565cea..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/Robust04InstructionRetrieval.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "dataset_revision": 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} -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/STS15.json b/results/google-gecko__text-embedding-004/no_revision_available/STS15.json deleted file mode 100644 index d7bba022b3ccce484604cc2ffa9162060ff802ce..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/STS15.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "dataset_revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3", - "mteb_dataset_name": "STS15", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "pearson": 0.8848197001832652, - "spearman": 0.8966474518227826 - }, - "euclidean": { - "pearson": 0.8939742439062138, - "spearman": 0.8966474224622268 - }, - "evaluation_time": 597.48, - "manhattan": { - "pearson": 0.8935583228337243, - "spearman": 0.8962866402986388 - } - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/STS16.json b/results/google-gecko__text-embedding-004/no_revision_available/STS16.json deleted file mode 100644 index d2df74ce72c2585477cc7c5a8295cc420d85af7d..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/STS16.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "dataset_revision": "4d8694f8f0e0100860b497b999b3dbed754a0513", - "mteb_dataset_name": "STS16", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "pearson": 0.8600718924272863, - "spearman": 0.8734032035613459 - }, - "euclidean": { - "pearson": 0.8690960101430056, - "spearman": 0.8734032035613459 - }, - "evaluation_time": 229.72, - "manhattan": { - "pearson": 0.8695503059035214, - "spearman": 0.8738477361651739 - } - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/STS17.json b/results/google-gecko__text-embedding-004/no_revision_available/STS17.json deleted file mode 100644 index 0888c7ccffa5354ce97d137387cb321e62680aa7..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/STS17.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "af5e6fb845001ecf41f4c1e033ce921939a2a68d", - "mteb_dataset_name": "STS17", - "mteb_version": "1.0.3.dev0", - "test": { - "en-en": { - "cos_sim": { - "pearson": 0.9179985122152582, - "spearman": 0.9205955285289832 - }, - "euclidean": { - "pearson": 0.9184785204235787, - "spearman": 0.9205955285289832 - }, - "manhattan": { - "pearson": 0.9177861905506369, - "spearman": 0.9199332132714829 - } - }, - "evaluation_time": 114.08 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/STS22.json b/results/google-gecko__text-embedding-004/no_revision_available/STS22.json deleted file mode 100644 index 09700345dbb44fafb7c73efdad1c66a6c75585ad..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/STS22.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "dataset_revision": "6d1ba47164174a496b7fa5d3569dae26a6813b80", - "mteb_dataset_name": "STS22", - "mteb_version": "1.0.3.dev0", - "test": { - "en": { - "cos_sim": { - "pearson": 0.6857973258964876, - "spearman": 0.6801634427520514 - }, - "euclidean": { - "pearson": 0.6994430033511716, - "spearman": 0.680086918309844 - }, - "manhattan": { - "pearson": 0.6999567508947281, - "spearman": 0.6795133794491757 - } - }, - "evaluation_time": 226.72 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/STSBenchmark.json b/results/google-gecko__text-embedding-004/no_revision_available/STSBenchmark.json deleted file mode 100644 index b44867838eb69b79be19e429646ecddf639b21b6..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/STSBenchmark.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "dataset_revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831", - "mteb_dataset_name": "STSBenchmark", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "pearson": 0.8846416485069483, - "spearman": 0.8898571030136442 - }, - "euclidean": { - "pearson": 0.8884270994484686, - "spearman": 0.8898555980135839 - }, - "evaluation_time": 408.42, - "manhattan": { - "pearson": 0.8881991230448474, - "spearman": 0.8894397575632018 - } - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/SciDocsRR.json b/results/google-gecko__text-embedding-004/no_revision_available/SciDocsRR.json deleted file mode 100644 index 57db6241d76e022fc7871448b936f1b828e1177f..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/SciDocsRR.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "d3c5e1fc0b855ab6097bf1cda04dd73947d7caab", - "mteb_dataset_name": "SciDocsRR", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 680.09, - "map": 0.8359203242762886, - "mrr": 0.955725637833481 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/SciFact.json b/results/google-gecko__text-embedding-004/no_revision_available/SciFact.json deleted file mode 100644 index 42739d8740a558946c6ba7f2fd465a4126235d8a..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/SciFact.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": null, - "mteb_dataset_name": "SciFact", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 82.59, - "map_at_1": 0.59661, - "map_at_10": 0.70612, - "map_at_100": 0.71006, - "map_at_1000": 0.71018, - "map_at_3": 0.68296, - "map_at_5": 0.69553, - "mrr_at_1": 0.17042, - "mrr_at_10": 0.19401, - "mrr_at_100": 0.19478, - "mrr_at_1000": 0.19481, - "mrr_at_3": 0.18936, - "mrr_at_5": 0.19188, - "ndcg_at_1": 0.63, - "ndcg_at_10": 0.75419, - "ndcg_at_100": 0.77142, - "ndcg_at_1000": 0.77504, - "ndcg_at_3": 0.71526, - "ndcg_at_5": 0.73177, - "precision_at_1": 0.63, - "precision_at_10": 0.10067, - "precision_at_100": 0.011, - "precision_at_1000": 0.00113, - "precision_at_3": 0.28667, - "precision_at_5": 0.18467, - "recall_at_1": 0.59661, - "recall_at_10": 0.89033, - "recall_at_100": 0.97, - "recall_at_1000": 1.0, - "recall_at_3": 0.78044, - "recall_at_5": 0.82372 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/SprintDuplicateQuestions.json b/results/google-gecko__text-embedding-004/no_revision_available/SprintDuplicateQuestions.json deleted file mode 100644 index bc3884eb1e7839ace222f4e9174259a53ce3f59b..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/SprintDuplicateQuestions.json +++ /dev/null @@ -1,49 +0,0 @@ -{ - "dataset_revision": "d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46", - "mteb_dataset_name": "SprintDuplicateQuestions", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "accuracy": 0.9983861386138614, - "accuracy_threshold": 0.7844251394271851, - "ap": 0.9626359718154004, - "f1": 0.9196648595367176, - "f1_threshold": 0.7844251394271851, - "precision": 0.9067055393586005, - "recall": 0.933 - }, - "dot": { - "accuracy": 0.9983861386138614, - "accuracy_threshold": 0.7844233512878418, - "ap": 0.9626359718154003, - "f1": 0.9196648595367176, - "f1_threshold": 0.7844233512878418, - "precision": 0.9067055393586005, - "recall": 0.933 - }, - "euclidean": { - "accuracy": 0.9983861386138614, - "accuracy_threshold": 0.6566187143325806, - "ap": 0.9626366998699201, - "f1": 0.9196648595367176, - "f1_threshold": 0.6566187143325806, - "precision": 0.9067055393586005, - "recall": 0.933 - }, - "evaluation_time": 86.15, - "manhattan": { - "accuracy": 0.9983861386138614, - "accuracy_threshold": 14.255016326904297, - "ap": 0.962283173280842, - "f1": 0.9193468579910935, - "f1_threshold": 14.41878890991211, - "precision": 0.9098922624877571, - "recall": 0.929 - }, - "max": { - "accuracy": 0.9983861386138614, - "ap": 0.9626366998699201, - "f1": 0.9196648595367176 - } - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/StackExchangeClustering.json b/results/google-gecko__text-embedding-004/no_revision_available/StackExchangeClustering.json deleted file mode 100644 index 16ddc3819b1cdea4199e346879e97d3439ab0d02..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/StackExchangeClustering.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259", - "mteb_dataset_name": "StackExchangeClustering", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 16296.53, - "v_measure": 0.745247198851165, - "v_measure_std": 0.0438548719618817 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/StackExchangeClusteringP2P.json b/results/google-gecko__text-embedding-004/no_revision_available/StackExchangeClusteringP2P.json deleted file mode 100644 index ddc4625b3fdd69b372df876befaa103e7d66d857..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/StackExchangeClusteringP2P.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "815ca46b2622cec33ccafc3735d572c266efdb44", - "mteb_dataset_name": "StackExchangeClusteringP2P", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 15729.46, - "v_measure": 0.37627208423613034, - "v_measure_std": 0.013427617738889725 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/StackOverflowDupQuestions.json b/results/google-gecko__text-embedding-004/no_revision_available/StackOverflowDupQuestions.json deleted file mode 100644 index 4f6a0830af02289dedbd8b6f16b5a7e7910eaaec..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/StackOverflowDupQuestions.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "e185fbe320c72810689fc5848eb6114e1ef5ec69", - "mteb_dataset_name": "StackOverflowDupQuestions", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 665.55, - "map": 0.5456230816779979, - "mrr": 0.55546947945845 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/SummEval.json b/results/google-gecko__text-embedding-004/no_revision_available/SummEval.json deleted file mode 100644 index ab8de99dfd53dc7a0ede170b8193e8908aa84522..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/SummEval.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "dataset_revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c", - "mteb_dataset_name": "SummEval", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "pearson": 0.31076388091839025, - "spearman": 0.3262859625582649 - }, - "dot": { - "pearson": 0.3107653659329839, - "spearman": 0.3262859625582649 - }, - "evaluation_time": 678.39 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/TRECCOVID.json b/results/google-gecko__text-embedding-004/no_revision_available/TRECCOVID.json deleted file mode 100644 index ae37b3740712fdc2952b5264ad6519b787839096..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/TRECCOVID.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": null, - "mteb_dataset_name": "TRECCOVID", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 7642.39, - "map_at_1": 0.00253, - "map_at_10": 0.0212, - "map_at_100": 0.13559, - "map_at_1000": 0.34873, - "map_at_3": 0.00725, - "map_at_5": 0.01132, - 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a/results/google-gecko__text-embedding-004/no_revision_available/Touche2020.json +++ /dev/null @@ -1,38 +0,0 @@ -{ - "dataset_revision": null, - "mteb_dataset_name": "Touche2020", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 4700.31, - "map_at_1": 0.02218, - "map_at_10": 0.1016, - "map_at_100": 0.1657, - "map_at_1000": 0.18302, - "map_at_3": 0.04987, - "map_at_5": 0.07478, - "mrr_at_1": 0.26531, - "mrr_at_10": 0.42517, - "mrr_at_100": 0.43441, - "mrr_at_1000": 0.43441, - "mrr_at_3": 0.36395, - "mrr_at_5": 0.40476, - "ndcg_at_1": 0.2551, - "ndcg_at_10": 0.25861, - "ndcg_at_100": 0.38121, - "ndcg_at_1000": 0.50123, - "ndcg_at_3": 0.25003, - "ndcg_at_5": 0.2696, - "precision_at_1": 0.26531, - "precision_at_10": 0.22857, - "precision_at_100": 0.07878, - "precision_at_1000": 0.01598, - "precision_at_3": 0.2517, - "precision_at_5": 0.27755, - "recall_at_1": 0.02218, - "recall_at_10": 0.16819, - "recall_at_100": 0.49249, - "recall_at_1000": 0.86784, - "recall_at_3": 0.05962, - "recall_at_5": 0.10437 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/ToxicConversationsClassification.json b/results/google-gecko__text-embedding-004/no_revision_available/ToxicConversationsClassification.json deleted file mode 100644 index 3e211f014ac90c98fc64008a1930fc6d788a7011..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/ToxicConversationsClassification.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "dataset_revision": "d7c0de2777da35d6aae2200a62c6e0e5af397c4c", - "mteb_dataset_name": "ToxicConversationsClassification", - "mteb_version": "1.0.3.dev0", - "test": { - "accuracy": 0.896742, - "accuracy_stderr": 0.009880459301064914, - "ap": 0.3649750525984529, - "ap_stderr": 0.013595888302276985, - "evaluation_time": 12632.27, - "f1": 0.751018135686966, - "f1_stderr": 0.011501325012650478, - "main_score": 0.896742 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/TweetSentimentExtractionClassification.json b/results/google-gecko__text-embedding-004/no_revision_available/TweetSentimentExtractionClassification.json deleted file mode 100644 index ed397eb33a35a7f8bd35187550cc1acd55ad7b75..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/TweetSentimentExtractionClassification.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "dataset_revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a", - "mteb_dataset_name": "TweetSentimentExtractionClassification", - "mteb_version": "1.0.3.dev0", - "test": { - "accuracy": 0.745217883418223, - "accuracy_stderr": 0.006784329698308078, - "evaluation_time": 5038.25, - "f1": 0.7470901884636844, - "f1_stderr": 0.007280768797463841, - "main_score": 0.745217883418223 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/TwentyNewsgroupsClustering.json b/results/google-gecko__text-embedding-004/no_revision_available/TwentyNewsgroupsClustering.json deleted file mode 100644 index edd08492bc3875a22ce3fdb239aff72f471ae9dc..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/TwentyNewsgroupsClustering.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "dataset_revision": "6125ec4e24fa026cec8a478383ee943acfbd5449", - "mteb_dataset_name": "TwentyNewsgroupsClustering", - "mteb_version": "1.0.3.dev0", - "test": { - "evaluation_time": 3461.14, - "v_measure": 0.5487085188118288, - "v_measure_std": 0.01587372092842409 - } -} \ No newline at end of file diff --git a/results/google-gecko__text-embedding-004/no_revision_available/TwitterSemEval2015.json b/results/google-gecko__text-embedding-004/no_revision_available/TwitterSemEval2015.json deleted file mode 100644 index 6b6d18760878d3e5c4ad40e84fcdd4b4d9a14e70..0000000000000000000000000000000000000000 --- a/results/google-gecko__text-embedding-004/no_revision_available/TwitterSemEval2015.json +++ /dev/null @@ -1,49 +0,0 @@ -{ - "dataset_revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1", - "mteb_dataset_name": "TwitterSemEval2015", - "mteb_version": "1.0.3.dev0", - "test": { - "cos_sim": { - "accuracy": 0.8767956130416642, - "accuracy_threshold": 0.8140320181846619, - "ap": 0.7904259661262819, - "f1": 0.7178703349891734, - "f1_threshold": 0.7895062565803528, - "precision": 0.6939177542477223, - "recall": 0.7435356200527704 - }, - "dot": { - "accuracy": 0.8767956130416642, - "accuracy_threshold": 0.8140310049057007, - "ap": 0.7904265228330212, - "f1": 0.7178703349891734, - "f1_threshold": 0.789504885673523, - "precision": 0.6939177542477223, - "recall": 0.7435356200527704 - }, - "euclidean": { - "accuracy": 0.8767956130416642, - "accuracy_threshold": 0.6098650693893433, - "ap": 0.7904257887557389, - 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b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/ToxicConversationsClassification.json @@ -0,0 +1,22 @@ +{ + "dataset_revision": "edfaf9da55d3dd50d43143d90c1ac476895ae6de", + "task_name": "ToxicConversationsClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "accuracy": 75.87890625, + "ap": 16.4629793865873, + "ap_weighted": 16.4629793865873, + "f1": 58.32993265544471, + "f1_weighted": 80.94360012442658, + "main_score": 75.87890625 + } + ] + } +} \ No newline at end of file diff --git a/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/TweetSentimentExtractionClassification.json b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/TweetSentimentExtractionClassification.json new file mode 100644 index 0000000000000000000000000000000000000000..86325a0e82344d7485e050adbfa0ffd2a7daa992 --- /dev/null +++ b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/TweetSentimentExtractionClassification.json @@ -0,0 +1,20 @@ +{ + "dataset_revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a", + "task_name": "TweetSentimentExtractionClassification", + "evaluation_time": null, + "mteb_version": null, + "scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "accuracy": 65.21788341822298, + "f1": 65.00914562845475, + "f1_weighted": 63.672388825903845, + "main_score": 65.21788341822298 + } + ] + } +} \ No newline at end of file diff --git a/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/TwentyNewsgroupsClustering.json b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/TwentyNewsgroupsClustering.json new file mode 100644 index 0000000000000000000000000000000000000000..1d3b041d21126097bb7c23603d69d7b8fc4d8caf --- /dev/null +++ b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/TwentyNewsgroupsClustering.json @@ -0,0 +1,19 @@ +{ + 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"scores": { + "test": [ + { + "hf_subset": "default", + "languages": [ + "eng-Latn" + ], + "max_accuracy": 89.90569332867622, + "max_ap": 87.91825594329686, + "max_f1": 80.35081439054949, + "accuracy": 89.90569332867622, + "accuracy_threshold": 81.01733326911926, + "ap": 87.91824445175028, + "f1": 80.35081439054949, + "f1_threshold": 78.65387201309204, + "precision": 75.0853013982739, + "recall": 86.41053279950724, + "main_score": 87.91825594329686 + } + ] + } +} \ No newline at end of file diff --git a/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/model_meta.json b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/model_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..9de8fa0777b91dd05379ad9112568bc97f70e592 --- /dev/null +++ b/results/zeta-alpha-ai__Zeta-Alpha-E5-Mistral/external/model_meta.json @@ -0,0 +1,24 @@ +{ + "name": "zeta-alpha-ai/Zeta-Alpha-E5-Mistral", + "revision": "3e6076bdc2ff592a2f95fbc04570e51db5aa0c0c", + "release_date": "2024-08-30", + "languages": [ + "en" + ], + "loader": null, + "n_parameters": 7110660096, + "memory_usage": null, + "max_tokens": 32768, + "embed_dim": 4096, + "license": "mit", + "open_weights": true, + "public_training_data": null, + "public_training_code": null, + "framework": [ + "Sentence Transformers" + ], + "reference": null, + "similarity_fn_name": null, + "use_instructions": null, + "zero_shot_benchmarks": null +} \ No newline at end of file diff --git a/tests/test_correct_folder_structure.py b/tests/test_correct_folder_structure.py index 02464374596e9421eecab6cac5e1535a716c1100..c2c4a47020b8d32eff9276bd65d152e308800d6f 100644 --- a/tests/test_correct_folder_structure.py +++ b/tests/test_correct_folder_structure.py @@ -1,36 +1,46 @@ import json from pathlib import Path +import pytest -def test_correct_folder_structure(): +results_folder = Path(__file__).parent.parent / "results" + + +def get_metafiles(): + meta_files = results_folder.glob("**/model_meta.json") + meta_files = list(meta_files) + return meta_files + + +@pytest.mark.parametrize("meta_file", get_metafiles()) +def test_correct_folder_structure(meta_file): """ the folders should be structured as follows: results/model_name/revision/*json """ - results_folder = Path(__file__).parent.parent / "results" - meta_files = results_folder.glob("**/model_meta.json") - meta_files = list(meta_files) - for meta_file in meta_files: - with open(meta_file, "r") as f: - meta = json.load(f) + with meta_file.open("r") as f: + meta = json.load(f) + + mdl_name, revision = meta["name"], meta["revision"] - mdl_name, revision = meta["name"], meta["revision"] + mdl_name = mdl_name.replace(" ", "_").replace("/", "__") - mdl_name = mdl_name.replace(" ", "_").replace("/", "__") + if revision is None: + revision = meta_file.parent.name - if revision is None: - revision = meta_file.parent.name + if meta_file.parent.parts[-1] == "external": + revision = "external" - expected_path = results_folder / mdl_name / revision - assert expected_path == meta_file.parent - assert expected_path.exists() - assert len(list(expected_path.glob("*.json"))) > 0 - for file in expected_path.glob("*.json"): - assert file.exists() - assert file.is_file() - assert file.parent == expected_path - assert file.suffix == ".json" + expected_path = results_folder / mdl_name / revision + assert expected_path == meta_file.parent + assert expected_path.exists() + assert len(list(expected_path.glob("*.json"))) > 0 + for file in expected_path.glob("*.json"): + assert file.exists() + assert file.is_file() + assert file.parent == expected_path + assert file.suffix == ".json" folders_without_meta = [ # please do not add to this list it is only intended for backwards compatibility. Future results should have a model_meta.json file @@ -251,20 +261,19 @@ folders_without_meta = [ # please do not add to this list it is only intended f ] -def test_model_meta_in_folders(): +@pytest.mark.parametrize("model_folder", results_folder.glob("*")) +def test_model_meta_in_folders(model_folder): """ the folders should contain a model_meta.json file """ - results_folder = Path(__file__).parent.parent / "results" - for model_folder in results_folder.glob("*"): - for rev_folder in model_folder.glob("*"): - if (model_folder.name, rev_folder.name) in folders_without_meta: - continue + for rev_folder in model_folder.glob("*"): + if (model_folder.name, rev_folder.name) in folders_without_meta: + continue - meta_file = rev_folder / "model_meta.json" - assert meta_file.exists() - assert meta_file.is_file() - assert meta_file.parent == rev_folder - assert meta_file.suffix == ".json" - assert meta_file.stem == "model_meta" + meta_file = rev_folder / "model_meta.json" + assert meta_file.exists() + assert meta_file.is_file() + assert meta_file.parent == rev_folder + assert meta_file.suffix == ".json" + assert meta_file.stem == "model_meta" diff --git a/tests/test_load_results.py b/tests/test_load_results.py index fd51aa9839165d3ab226bca253e3117227a2527a..55192288b11c69a622cc38dbb57da2026bc0a210 100644 --- a/tests/test_load_results.py +++ b/tests/test_load_results.py @@ -18,6 +18,8 @@ def test_load_results(): for model_result in model_results: assert isinstance(model_result, TaskResult) + +def test_load_results_mteb(): test_model_name = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2" model_results = mteb.load_results(models=[test_model_name]) model_result = model_results[0]