<h1 align="center">GIST small Embedding v0</h1>

*GIST Embedding: Guided In-sample Selection of Training Negatives for Text Embedding*

The model is fine-tuned on top of the [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) using the [MEDI dataset](https://github.com/xlang-ai/instructor-embedding.git) augmented with mined triplets from the [MTEB Classification](https://huggingface.co/mteb) training dataset (excluding data from the Amazon Polarity Classification task).

The model does not require any instruction for generating embeddings. This means that queries for retrieval tasks can be directly encoded without crafting instructions.

Technical details of the model will be published shortly.

# Data

The dataset used is a compilation of the MEDI dataset and the MTEB Classification training dataset. Third-party datasets may be subject to additional terms and conditions under their associated licenses. A HuggingFace Dataset version of the compiled dataset, and the specific revision used to train the model, is available:

- Dataset: [avsolatorio/medi-data-mteb_avs_triplets](https://huggingface.co/datasets/avsolatorio/medi-data-mteb_avs_triplets)
- Revision: 238a0499b6e6b690cc64ea56fde8461daa8341bb

The dataset contains a `task_type` key which can be used to select only the mteb classification tasks (prefixed with `mteb_`).

The **MEDI Dataset** is published in the following paper: [One Embedder, Any Task: Instruction-Finetuned Text Embeddings](https://arxiv.org/abs/2212.09741).

The MTEB Benchmark results of the GIST embedding model, compared with the base model, suggest that the fine-tuning dataset has perturbed the model considerably, which resulted in significant improvements in certain tasks while adversely degrading performance in some.

The retrieval performance for the TRECCOVID task is of note. The fine-tuning dataset does not contain significant knowledge about COVID, which could have caused the observed performance degradation. Further work is currently being undertaken to validate this hypothesis.

# Usage

The model can be easily loaded using the Sentence Transformers library.

```Python
import torch.nn.functional as F
from sentence_transformers import SentenceTransformer

revision = None  # Replace with the specific revision to ensure reproducibility in  case the model is updated.

model = SentenceTransformer("avsolatorio/GIST-small-Embedding-v0", revision=revision)

texts = [
    "Illustration of the REaLTabFormer model. The left block shows the non-relational tabular data model using GPT-2 with a causal LM head. In contrast, the right block shows how a relational dataset's child table is modeled using a sequence-to-sequence (Seq2Seq) model. The Seq2Seq model uses the observations in the parent table to condition the generation of the observations in the child table. The trained GPT-2 model on the parent table, with weights frozen, is also used as the encoder in the Seq2Seq model.",
    "Predicting human mobility holds significant practical value, with applications ranging from enhancing disaster risk planning to simulating epidemic spread. In this paper, we present the GeoFormer, a decoder-only transformer model adapted from the GPT architecture to forecast human mobility.",
    "As the economies of Southeast Asia continue adopting digital technologies, policy makers increasingly ask how to prepare the workforce for emerging labor demands. However, little is known about the skills that workers need to adapt to these changes"
]

# Compute embeddings
embeddings = model.encode(texts, convert_to_tensor=True)

# Compute cosine-similarity for each pair of sentences
scores = F.cosine_similarity(embeddings.unsqueeze(1), embeddings.unsqueeze(0), dim=-1)

print(scores.cpu().numpy())
```

# Training Parameters

Below are the training parameters used to fine-tune the model:

```
Epochs = 40
Warmup ratio = 0.1
Learning rate = 5e-6
Batch size = 16
Checkpoint step = 102000
Contrastive loss temperature = 0.01
```

Specific training details and strategies will be published shortly.

# Evaluation

The model was evaluated using the [MTEB Evaluation](https://huggingface.co/mteb) suite.


# Acknowledgements

This work is supported by the "KCP IV - Exploring Data Use in the Development Economics Literature using Large Language Models (AI and LLMs)" project funded by the [Knowledge for Change Program (KCP)](https://www.worldbank.org/en/programs/knowledge-for-change) of the World Bank - RA-P503405-RESE-TF0C3444.

The findings, interpretations, and conclusions expressed in this material are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
{"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["feature-extraction", "mteb", "sentence-similarity", "sentence-transformers"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "GIST-small-Embedding-v0", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value": 75.26865671641791}, {"type": "ap", "value": 38.25623793370476}, {"type": "f1", "value": 69.26434651320257}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonPolarityClassification", "type": "mteb/amazon_polarity", "config": "default", "split": "test", "revision": "e2d317d38cd51312af73b3d32a06d1a08b442046"}, "metrics": [{"type": "accuracy", "value": 93.232225}, {"type": "ap", "value": 89.97936072879344}, {"type": "f1", "value": 93.22122653806187}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonReviewsClassification (en)", "type": "mteb/amazon_reviews_multi", "config": "en", "split": "test", "revision": "1399c76144fd37290681b995c656ef9b2e06e26d"}, "metrics": [{"type": "accuracy", "value": 49.715999999999994}, {"type": "f1", "value": 49.169789920136076}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB ArguAna", "type": "arguana", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 34.922}, {"type": "map_at_10", "value": 50.524}, {"type": "map_at_100", "value": 51.247}, {"type": "map_at_1000", "value": 51.249}, {"type": "map_at_3", "value": 45.887}, {"type": "map_at_5", "value": 48.592999999999996}, {"type": "mrr_at_1", "value": 34.922}, {"type": "mrr_at_10", "value": 50.382000000000005}, {"type": "mrr_at_100", "value": 51.104000000000006}, {"type": "mrr_at_1000", "value": 51.105999999999995}, {"type": "mrr_at_3", "value": 45.733000000000004}, {"type": "mrr_at_5", "value": 48.428}, {"type": "ndcg_at_1", "value": 34.922}, {"type": "ndcg_at_10", "value": 59.12}, {"type": "ndcg_at_100", "value": 62.083999999999996}, {"type": "ndcg_at_1000", "value": 62.137}, {"type": "ndcg_at_3", "value": 49.616}, {"type": "ndcg_at_5", "value": 54.501}, {"type": "precision_at_1", "value": 34.922}, {"type": "precision_at_10", "value": 8.649}, {"type": "precision_at_100", "value": 0.991}, {"type": "precision_at_1000", "value": 0.1}, {"type": "precision_at_3", "value": 20.152}, {"type": "precision_at_5", "value": 14.466999999999999}, {"type": "recall_at_1", "value": 34.922}, {"type": "recall_at_10", "value": 86.48599999999999}, {"type": "recall_at_100", "value": 99.14699999999999}, {"type": "recall_at_1000", "value": 99.57300000000001}, {"type": "recall_at_3", "value": 60.455000000000005}, {"type": "recall_at_5", "value": 72.333}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringP2P", "type": "mteb/arxiv-clustering-p2p", "config": "default", "split": "test", "revision": "a122ad7f3f0291bf49cc6f4d32aa80929df69d5d"}, "metrics": [{"type": "v_measure", "value": 47.623282347623714}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringS2S", "type": "mteb/arxiv-clustering-s2s", "config": "default", "split": "test", "revision": "f910caf1a6075f7329cdf8c1a6135696f37dbd53"}, "metrics": [{"type": "v_measure", "value": 39.86487843524932}]}, {"task": {"type": "Reranking"}, "dataset": {"name": "MTEB AskUbuntuDupQuestions", "type": "mteb/askubuntudupquestions-reranking", "config": "default", "split": "test", "revision": "2000358ca161889fa9c082cb41daa8dcfb161a54"}, "metrics": [{"type": "map", "value": 62.3290291318171}, {"type": "mrr", "value": 75.2379853141626}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB BIOSSES", "type": "mteb/biosses-sts", "config": "default", "split": "test", "revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a"}, "metrics": [{"type": "cos_sim_pearson", "value": 88.52002953574285}, {"type": "cos_sim_spearman", "value": 86.98752423842483}, {"type": "euclidean_pearson", "value": 86.89442688314197}, {"type": "euclidean_spearman", "value": 86.88631711307471}, {"type": "manhattan_pearson", "value": 87.03723618507175}, {"type": "manhattan_spearman", "value": 86.76041062975224}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB Banking77Classification", "type": "mteb/banking77", "config": "default", "split": "test", "revision": "0fd18e25b25c072e09e0d92ab615fda904d66300"}, "metrics": [{"type": "accuracy", "value": 86.64935064935065}, {"type": "f1", "value": 86.61903824934998}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringP2P", "type": "mteb/biorxiv-clustering-p2p", "config": "default", "split": "test", "revision": "65b79d1d13f80053f67aca9498d9402c2d9f1f40"}, "metrics": [{"type": "v_measure", "value": 39.21904455377494}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringS2S", "type": "mteb/biorxiv-clustering-s2s", "config": "default", "split": "test", "revision": "258694dd0231531bc1fd9de6ceb52a0853c6d908"}, "metrics": [{"type": "v_measure", "value": 35.43342755570654}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB CQADupstackAndroidRetrieval", "type": "BeIR/cqadupstack", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 31.843}, {"type": "map_at_10", "value": 43.379}, {"type": "map_at_100", "value": 44.946999999999996}, {"type": "map_at_1000", "value": 45.078}, {"type": "map_at_3", "value": 39.598}, {"type": "map_at_5", "value": 41.746}, {"type": "mrr_at_1", "value": 39.199}, {"type": "mrr_at_10", "value": 49.672}, {"type": "mrr_at_100", "value": 50.321000000000005}, {"type": "mrr_at_1000", "value": 50.365}, {"type": "mrr_at_3", "value": 46.805}, {"type": "mrr_at_5", "value": 48.579}, {"type": "ndcg_at_1", "value": 39.199}, {"type": "ndcg_at_10", "value": 50.163999999999994}, {"type": "ndcg_at_100", "value": 55.418}, {"type": "ndcg_at_1000", "value": 57.353}, {"type": "ndcg_at_3", "value": 44.716}, {"type": "ndcg_at_5", "value": 47.268}, {"type": "precision_at_1", "value": 39.199}, {"type": "precision_at_10", "value": 9.757}, {"type": "precision_at_100", "value": 1.552}, {"type": "precision_at_1000", "value": 0.20500000000000002}, {"type": "precision_at_3", "value": 21.602}, {"type": "precision_at_5", "value": 15.479000000000001}, {"type": "recall_at_1", "value": 31.843}, {"type": "recall_at_10", "value": 62.743}, {"type": "recall_at_100", "value": 84.78099999999999}, {"type": "recall_at_1000", "value": 96.86099999999999}, {"type": "recall_at_3", "value": 46.927}, {"type": "recall_at_5", "value": 54.355}, {"type": "map_at_1", "value": 29.321}, {"type": "map_at_10", "value": 39.062999999999995}, {"type": "map_at_100", "value": 40.403}, {"type": "map_at_1000", "value": 40.534}, {"type": "map_at_3", "value": 36.367}, {"type": "map_at_5", "value": 37.756}, {"type": "mrr_at_1", "value": 35.987}, {"type": "mrr_at_10", "value": 44.708999999999996}, {"type": "mrr_at_100", "value": 45.394}, {"type": "mrr_at_1000", "value": 45.436}, {"type": "mrr_at_3", "value": 42.463}, {"type": "mrr_at_5", "value": 43.663000000000004}, {"type": "ndcg_at_1", "value": 35.987}, {"type": "ndcg_at_10", "value": 44.585}, {"type": "ndcg_at_100", "value": 49.297999999999995}, {"type": "ndcg_at_1000", "value": 51.315}, {"type": "ndcg_at_3", "value": 40.569}, {"type": "ndcg_at_5", "value": 42.197}, {"type": "precision_at_1", "value": 35.987}, {"type": "precision_at_10", "value": 8.369}, {"type": "precision_at_100", "value": 1.366}, {"type": "precision_at_1000", "value": 0.184}, {"type": "precision_at_3", "value": 19.427}, {"type": "precision_at_5", "value": 13.58}, {"type": "recall_at_1", "value": 29.321}, {"type": "recall_at_10", "value": 54.333}, {"type": "recall_at_100", "value": 74.178}, {"type": "recall_at_1000", "value": 86.732}, {"type": "recall_at_3", "value": 42.46}, {"type": "recall_at_5", "value": 47.089999999999996}, {"type": "map_at_1", "value": 38.811}, {"type": "map_at_10", "value": 51.114000000000004}, {"type": "map_at_100", "value": 52.22}, {"type": "map_at_1000", "value": 52.275000000000006}, {"type": "map_at_3", "value": 47.644999999999996}, {"type": "map_at_5", "value": 49.675000000000004}, {"type": "mrr_at_1", "value": 44.389}, {"type": "mrr_at_10", "value": 54.459}, {"type": "mrr_at_100", "value": 55.208999999999996}, {"type": "mrr_at_1000", "value": 55.239000000000004}, {"type": "mrr_at_3", "value": 51.954}, {"type": "mrr_at_5", "value": 53.571999999999996}, {"type": "ndcg_at_1", "value": 44.389}, {"type": "ndcg_at_10", "value": 56.979}, {"type": "ndcg_at_100", "value": 61.266}, {"type": "ndcg_at_1000", "value": 62.315}, {"type": "ndcg_at_3", "value": 51.342}, {"type": "ndcg_at_5", "value": 54.33}, {"type": "precision_at_1", "value": 44.389}, {"type": "precision_at_10", "value": 9.26}, {"type": "precision_at_100", "value": 1.226}, {"type": "precision_at_1000", "value": 0.136}, {"type": "precision_at_3", "value": 22.926}, {"type": "precision_at_5", "value": 15.987000000000002}, {"type": "recall_at_1", "value": 38.811}, {"type": "recall_at_10", "value": 70.841}, {"type": "recall_at_100", "value": 89.218}, {"type": "recall_at_1000", "value": 96.482}, {"type": "recall_at_3", "value": 56.123999999999995}, {"type": "recall_at_5", "value": 63.322}, {"type": "map_at_1", "value": 25.378}, {"type": "map_at_10", "value": 34.311}, {"type": "map_at_100", "value": 35.399}, {"type": "map_at_1000", "value": 35.482}, {"type": "map_at_3", "value": 31.917}, {"type": "map_at_5", "value": 33.275}, {"type": "mrr_at_1", "value": 27.683999999999997}, {"type": "mrr_at_10", "value": 36.575}, {"type": "mrr_at_100", "value": 37.492}, {"type": "mrr_at_1000", "value": 37.556}, {"type": "mrr_at_3", "value": 34.35}, {"type": "mrr_at_5", "value": 35.525}, {"type": "ndcg_at_1", "value": 27.683999999999997}, {"type": "ndcg_at_10", "value": 39.247}, {"type": "ndcg_at_100", "value": 44.424}, {"type": "ndcg_at_1000", "value": 46.478}, {"type": "ndcg_at_3", "value": 34.684}, {"type": "ndcg_at_5", "value": 36.886}, {"type": "precision_at_1", "value": 27.683999999999997}, {"type": "precision_at_10", "value": 5.989}, {"type": "precision_at_100", "value": 0.899}, {"type": "precision_at_1000", "value": 0.11199999999999999}, {"type": "precision_at_3", "value": 14.84}, {"type": "precision_at_5", "value": 10.215}, {"type": "recall_at_1", "value": 25.378}, {"type": "recall_at_10", "value": 52.195}, {"type": "recall_at_100", "value": 75.764}, {"type": "recall_at_1000", "value": 91.012}, {"type": "recall_at_3", "value": 39.885999999999996}, {"type": "recall_at_5", "value": 45.279}, {"type": "map_at_1", "value": 17.326}, {"type": "map_at_10", "value": 25.247000000000003}, {"type": "map_at_100", "value": 26.473000000000003}, {"type": "map_at_1000", "value": 26.579000000000004}, {"type": "map_at_3", "value": 22.466}, {"type": "map_at_5", "value": 24.113}, {"type": "mrr_at_1", "value": 21.393}, {"type": "mrr_at_10", "value": 30.187}, {"type": "mrr_at_100", "value": 31.089}, {"type": "mrr_at_1000", "value": 31.15}, {"type": "mrr_at_3", "value": 27.279999999999998}, {"type": "mrr_at_5", "value": 29.127}, {"type": "ndcg_at_1", "value": 21.393}, {"type": "ndcg_at_10", "value": 30.668}, {"type": "ndcg_at_100", "value": 36.543}, {"type": "ndcg_at_1000", "value": 39.181}, {"type": "ndcg_at_3", "value": 25.552000000000003}, {"type": "ndcg_at_5", "value": 28.176000000000002}, {"type": "precision_at_1", "value": 21.393}, {"type": "precision_at_10", "value": 5.784000000000001}, {"type": "precision_at_100", "value": 1.001}, {"type": "precision_at_1000", "value": 0.136}, {"type": "precision_at_3", "value": 12.231}, {"type": "precision_at_5", "value": 9.179}, {"type": "recall_at_1", "value": 17.326}, {"type": "recall_at_10", "value": 42.415000000000006}, {"type": "recall_at_100", "value": 68.605}, {"type": "recall_at_1000", "value": 87.694}, {"type": "recall_at_3", "value": 28.343}, {"type": "recall_at_5", "value": 35.086}, {"type": "map_at_1", "value": 29.069}, {"type": "map_at_10", "value": 40.027}, {"type": "map_at_100", "value": 41.308}, {"type": "map_at_1000", "value": 41.412}, {"type": "map_at_3", "value": 36.864000000000004}, {"type": "map_at_5", "value": 38.641999999999996}, {"type": "mrr_at_1", "value": 35.707}, {"type": "mrr_at_10", "value": 45.527}, {"type": "mrr_at_100", "value": 46.348}, {"type": "mrr_at_1000", "value": 46.392}, {"type": "mrr_at_3", "value": 43.086}, {"type": "mrr_at_5", "value": 44.645}, {"type": "ndcg_at_1", "value": 35.707}, {"type": "ndcg_at_10", "value": 46.117000000000004}, {"type": "ndcg_at_100", "value": 51.468}, {"type": "ndcg_at_1000", "value": 53.412000000000006}, {"type": "ndcg_at_3", "value": 41.224}, {"type": "ndcg_at_5", "value": 43.637}, {"type": "precision_at_1", "value": 35.707}, {"type": "precision_at_10", "value": 8.459999999999999}, {"type": "precision_at_100", "value": 1.2970000000000002}, {"type": "precision_at_1000", "value": 0.165}, {"type": "precision_at_3", "value": 19.731}, {"type": "precision_at_5", "value": 14.013}, {"type": "recall_at_1", "value": 29.069}, {"type": "recall_at_10", "value": 58.343999999999994}, {"type": "recall_at_100", "value": 81.296}, {"type": "recall_at_1000", "value": 93.974}, {"type": "recall_at_3", "value": 44.7}, {"type": "recall_at_5", "value": 50.88700000000001}, {"type": "map_at_1", "value": 23.905}, {"type": "map_at_10", "value": 33.983000000000004}, {"type": "map_at_100", "value": 35.372}, {"type": "map_at_1000", "value": 35.487}, {"type": "map_at_3", "value": 30.902}, {"type": "map_at_5", "value": 32.505}, {"type": "mrr_at_1", "value": 29.794999999999998}, {"type": "mrr_at_10", "value": 39.28}, {"type": "mrr_at_100", "value": 40.215}, {"type": "mrr_at_1000", "value": 40.276}, {"type": "mrr_at_3", "value": 36.701}, {"type": "mrr_at_5", "value": 38.105}, {"type": "ndcg_at_1", "value": 29.794999999999998}, {"type": "ndcg_at_10", "value": 40.041}, {"type": "ndcg_at_100", "value": 45.884}, {"type": "ndcg_at_1000", "value": 48.271}, {"type": "ndcg_at_3", "value": 34.931}, {"type": "ndcg_at_5", "value": 37.044}, {"type": "precision_at_1", "value": 29.794999999999998}, {"type": "precision_at_10", "value": 7.546}, {"type": "precision_at_100", "value": 1.216}, {"type": "precision_at_1000", "value": 0.158}, {"type": "precision_at_3", "value": 16.933}, {"type": "precision_at_5", "value": 12.1}, {"type": "recall_at_1", "value": 23.905}, {"type": "recall_at_10", "value": 52.945}, {"type": "recall_at_100", "value": 77.551}, {"type": "recall_at_1000", "value": 93.793}, {"type": "recall_at_3", "value": 38.364}, {"type": "recall_at_5", "value": 44.044}, {"type": "map_at_1", "value": 25.24441666666667}, {"type": "map_at_10", "value": 34.4595}, {"type": "map_at_100", "value": 35.699999999999996}, {"type": "map_at_1000", "value": 35.8155}, {"type": "map_at_3", "value": 31.608333333333338}, {"type": "map_at_5", "value": 33.189416666666666}, {"type": "mrr_at_1", "value": 29.825250000000004}, {"type": "mrr_at_10", "value": 38.60875}, {"type": "mrr_at_100", "value": 39.46575}, {"type": "mrr_at_1000", "value": 39.52458333333333}, {"type": "mrr_at_3", "value": 36.145166666666675}, {"type": "mrr_at_5", "value": 37.57625}, {"type": "ndcg_at_1", "value": 29.825250000000004}, {"type": "ndcg_at_10", "value": 39.88741666666667}, {"type": "ndcg_at_100", "value": 45.17966666666667}, {"type": "ndcg_at_1000", "value": 47.440583333333336}, {"type": "ndcg_at_3", "value": 35.04591666666666}, {"type": "ndcg_at_5", "value": 37.32025}, {"type": "precision_at_1", "value": 29.825250000000004}, {"type": "precision_at_10", "value": 7.07225}, {"type": "precision_at_100", "value": 1.1462499999999998}, {"type": "precision_at_1000", "value": 0.15325}, {"type": "precision_at_3", "value": 16.18375}, {"type": "precision_at_5", "value": 11.526833333333334}, {"type": "recall_at_1", "value": 25.24441666666667}, {"type": "recall_at_10", "value": 51.744916666666676}, {"type": "recall_at_100", "value": 75.04574999999998}, {"type": "recall_at_1000", "value": 90.65558333333334}, {"type": "recall_at_3", "value": 38.28349999999999}, {"type": "recall_at_5", "value": 44.16591666666667}, {"type": "map_at_1", "value": 24.237000000000002}, {"type": "map_at_10", "value": 30.667}, {"type": "map_at_100", "value": 31.592}, {"type": "map_at_1000", "value": 31.688}, {"type": "map_at_3", "value": 28.810999999999996}, {"type": "map_at_5", "value": 29.788999999999998}, {"type": "mrr_at_1", "value": 26.840000000000003}, {"type": "mrr_at_10", "value": 33.305}, {"type": "mrr_at_100", "value": 34.089000000000006}, {"type": "mrr_at_1000", "value": 34.159}, {"type": "mrr_at_3", "value": 31.518}, {"type": "mrr_at_5", "value": 32.469}, {"type": "ndcg_at_1", "value": 26.840000000000003}, {"type": "ndcg_at_10", "value": 34.541}, {"type": "ndcg_at_100", "value": 39.206}, {"type": "ndcg_at_1000", "value": 41.592}, {"type": "ndcg_at_3", "value": 31.005}, {"type": "ndcg_at_5", "value": 32.554}, {"type": "precision_at_1", "value": 26.840000000000003}, {"type": "precision_at_10", "value": 5.3069999999999995}, {"type": "precision_at_100", "value": 0.8340000000000001}, {"type": "precision_at_1000", "value": 0.11199999999999999}, {"type": "precision_at_3", "value": 13.292000000000002}, {"type": "precision_at_5", "value": 9.049}, {"type": "recall_at_1", "value": 24.237000000000002}, {"type": "recall_at_10", "value": 43.862}, {"type": "recall_at_100", "value": 65.352}, {"type": "recall_at_1000", "value": 82.704}, {"type": "recall_at_3", "value": 34.009}, {"type": "recall_at_5", "value": 37.878}, {"type": "map_at_1", "value": 16.482}, {"type": "map_at_10", "value": 23.249}, {"type": "map_at_100", "value": 24.388}, {"type": "map_at_1000", "value": 24.519}, {"type": "map_at_3", "value": 20.971}, {"type": "map_at_5", "value": 22.192}, {"type": "mrr_at_1", "value": 19.993}, {"type": "mrr_at_10", "value": 26.985}, {"type": "mrr_at_100", "value": 27.975}, {"type": "mrr_at_1000", "value": 28.052}, {"type": "mrr_at_3", "value": 24.954}, {"type": "mrr_at_5", "value": 26.070999999999998}, {"type": "ndcg_at_1", "value": 19.993}, {"type": "ndcg_at_10", "value": 27.656}, {"type": "ndcg_at_100", "value": 33.256}, {"type": "ndcg_at_1000", "value": 36.275}, {"type": "ndcg_at_3", "value": 23.644000000000002}, {"type": "ndcg_at_5", "value": 25.466}, {"type": "precision_at_1", "value": 19.993}, {"type": "precision_at_10", "value": 5.093}, {"type": "precision_at_100", "value": 0.932}, {"type": "precision_at_1000", "value": 0.13699999999999998}, {"type": "precision_at_3", "value": 11.149000000000001}, {"type": "precision_at_5", "value": 8.149000000000001}, {"type": "recall_at_1", "value": 16.482}, {"type": "recall_at_10", "value": 37.141999999999996}, {"type": "recall_at_100", "value": 62.696}, {"type": "recall_at_1000", "value": 84.333}, {"type": "recall_at_3", "value": 26.031}, {"type": "recall_at_5", "value": 30.660999999999998}, {"type": "map_at_1", "value": 24.887999999999998}, {"type": "map_at_10", "value": 34.101}, {"type": "map_at_100", "value": 35.27}, {"type": "map_at_1000", "value": 35.370000000000005}, {"type": "map_at_3", "value": 31.283}, {"type": "map_at_5", "value": 32.72}, {"type": "mrr_at_1", "value": 29.011}, {"type": "mrr_at_10", "value": 38.004}, {"type": "mrr_at_100", "value": 38.879000000000005}, {"type": "mrr_at_1000", "value": 38.938}, {"type": "mrr_at_3", "value": 35.571999999999996}, {"type": "mrr_at_5", "value": 36.789}, {"type": "ndcg_at_1", "value": 29.011}, {"type": "ndcg_at_10", "value": 39.586}, {"type": "ndcg_at_100", "value": 44.939}, {"type": "ndcg_at_1000", "value": 47.236}, {"type": "ndcg_at_3", "value": 34.4}, {"type": "ndcg_at_5", "value": 36.519}, {"type": "precision_at_1", "value": 29.011}, {"type": "precision_at_10", "value": 6.763}, {"type": "precision_at_100", "value": 1.059}, {"type": "precision_at_1000", "value": 0.13699999999999998}, {"type": "precision_at_3", "value": 15.609}, {"type": "precision_at_5", "value": 10.896}, {"type": "recall_at_1", "value": 24.887999999999998}, {"type": "recall_at_10", "value": 52.42}, {"type": "recall_at_100", "value": 75.803}, {"type": "recall_at_1000", "value": 91.725}, {"type": "recall_at_3", "value": 38.080999999999996}, {"type": "recall_at_5", "value": 43.47}, {"type": "map_at_1", "value": 23.953}, {"type": "map_at_10", "value": 32.649}, {"type": "map_at_100", "value": 34.181}, {"type": "map_at_1000", "value": 34.398}, {"type": "map_at_3", "value": 29.567}, {"type": "map_at_5", "value": 31.263}, {"type": "mrr_at_1", "value": 29.051}, {"type": "mrr_at_10", "value": 37.419999999999995}, {"type": "mrr_at_100", "value": 38.396}, {"type": "mrr_at_1000", "value": 38.458}, {"type": "mrr_at_3", "value": 34.782999999999994}, {"type": "mrr_at_5", "value": 36.254999999999995}, {"type": "ndcg_at_1", "value": 29.051}, {"type": "ndcg_at_10", "value": 38.595}, {"type": "ndcg_at_100", "value": 44.6}, {"type": "ndcg_at_1000", "value": 47.158}, {"type": "ndcg_at_3", "value": 33.56}, {"type": "ndcg_at_5", "value": 35.870000000000005}, {"type": "precision_at_1", "value": 29.051}, {"type": "precision_at_10", "value": 7.53}, {"type": "precision_at_100", "value": 1.538}, {"type": "precision_at_1000", "value": 0.24}, {"type": "precision_at_3", "value": 15.744}, {"type": "precision_at_5", "value": 11.542}, {"type": "recall_at_1", "value": 23.953}, {"type": "recall_at_10", "value": 50.08200000000001}, {"type": "recall_at_100", "value": 77.364}, {"type": "recall_at_1000", "value": 93.57799999999999}, {"type": "recall_at_3", "value": 35.432}, {"type": "recall_at_5", "value": 41.875}, {"type": "map_at_1", "value": 17.72}, {"type": "map_at_10", "value": 25.724000000000004}, {"type": "map_at_100", "value": 26.846999999999998}, {"type": "map_at_1000", "value": 26.964}, {"type": "map_at_3", "value": 22.909}, {"type": "map_at_5", "value": 24.596999999999998}, {"type": "mrr_at_1", "value": 18.854000000000003}, {"type": "mrr_at_10", "value": 27.182000000000002}, {"type": "mrr_at_100", "value": 28.182000000000002}, {"type": "mrr_at_1000", "value": 28.274}, {"type": "mrr_at_3", "value": 24.276}, {"type": "mrr_at_5", "value": 26.115}, {"type": "ndcg_at_1", "value": 18.854000000000003}, {"type": "ndcg_at_10", "value": 30.470000000000002}, {"type": "ndcg_at_100", "value": 35.854}, {"type": "ndcg_at_1000", "value": 38.701}, {"type": "ndcg_at_3", "value": 24.924}, {"type": "ndcg_at_5", "value": 27.895999999999997}, {"type": "precision_at_1", "value": 18.854000000000003}, {"type": "precision_at_10", "value": 5.009}, {"type": "precision_at_100", "value": 0.835}, {"type": "precision_at_1000", "value": 0.117}, {"type": "precision_at_3", "value": 10.721}, {"type": "precision_at_5", "value": 8.133}, {"type": "recall_at_1", "value": 17.72}, {"type": "recall_at_10", "value": 43.617}, {"type": "recall_at_100", "value": 67.941}, {"type": "recall_at_1000", "value": 88.979}, {"type": "recall_at_3", "value": 29.044999999999998}, {"type": "recall_at_5", "value": 36.044}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB ClimateFEVER", "type": "climate-fever", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 13.427}, {"type": "map_at_10", "value": 22.935}, {"type": "map_at_100", "value": 24.808}, {"type": "map_at_1000", "value": 24.994}, {"type": "map_at_3", "value": 19.533}, {"type": "map_at_5", "value": 21.261}, {"type": "mrr_at_1", "value": 30.945}, {"type": "mrr_at_10", "value": 43.242000000000004}, {"type": "mrr_at_100", "value": 44.013999999999996}, {"type": "mrr_at_1000", "value": 44.048}, {"type": "mrr_at_3", "value": 40.109}, {"type": "mrr_at_5", "value": 42.059999999999995}, {"type": "ndcg_at_1", "value": 30.945}, {"type": "ndcg_at_10", "value": 31.828}, {"type": "ndcg_at_100", "value": 38.801}, {"type": "ndcg_at_1000", "value": 42.126999999999995}, {"type": "ndcg_at_3", "value": 26.922}, {"type": "ndcg_at_5", "value": 28.483999999999998}, {"type": "precision_at_1", "value": 30.945}, {"type": "precision_at_10", "value": 9.844}, {"type": "precision_at_100", "value": 1.7309999999999999}, {"type": "precision_at_1000", "value": 0.23500000000000001}, {"type": "precision_at_3", "value": 20.477999999999998}, {"type": "precision_at_5", "value": 15.27}, {"type": "recall_at_1", "value": 13.427}, {"type": "recall_at_10", "value": 37.141000000000005}, {"type": "recall_at_100", "value": 61.007}, {"type": "recall_at_1000", "value": 79.742}, {"type": "recall_at_3", "value": 24.431}, {"type": "recall_at_5", "value": 29.725}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB DBPedia", "type": "dbpedia-entity", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 9.122}, {"type": "map_at_10", "value": 18.799}, {"type": "map_at_100", "value": 25.724999999999998}, {"type": "map_at_1000", "value": 27.205000000000002}, {"type": "map_at_3", "value": 14.194999999999999}, {"type": "map_at_5", "value": 16.225}, {"type": "mrr_at_1", "value": 68.0}, {"type": "mrr_at_10", "value": 76.035}, {"type": "mrr_at_100", "value": 76.292}, {"type": "mrr_at_1000", "value": 76.297}, {"type": "mrr_at_3", "value": 74.458}, {"type": "mrr_at_5", "value": 75.558}, {"type": "ndcg_at_1", "value": 56.00000000000001}, {"type": "ndcg_at_10", "value": 39.761}, {"type": "ndcg_at_100", "value": 43.736999999999995}, {"type": "ndcg_at_1000", "value": 51.146}, {"type": "ndcg_at_3", "value": 45.921}, {"type": "ndcg_at_5", "value": 42.756}, {"type": "precision_at_1", "value": 68.0}, {"type": "precision_at_10", "value": 30.275000000000002}, {"type": "precision_at_100", "value": 9.343}, {"type": "precision_at_1000", "value": 1.8270000000000002}, {"type": "precision_at_3", "value": 49.167}, {"type": "precision_at_5", "value": 40.699999999999996}, {"type": "recall_at_1", "value": 9.122}, {"type": "recall_at_10", "value": 23.669999999999998}, {"type": "recall_at_100", "value": 48.719}, {"type": "recall_at_1000", "value": 72.033}, {"type": "recall_at_3", "value": 15.498999999999999}, {"type": "recall_at_5", "value": 18.657}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB EmotionClassification", "type": "mteb/emotion", "config": "default", "split": "test", "revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37"}, "metrics": [{"type": "accuracy", "value": 55.885000000000005}, {"type": "f1", "value": 50.70726446938571}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB FEVER", "type": "fever", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 75.709}, {"type": "map_at_10", "value": 83.345}, {"type": "map_at_100", "value": 83.557}, {"type": "map_at_1000", "value": 83.572}, {"type": "map_at_3", "value": 82.425}, {"type": "map_at_5", "value": 83.013}, {"type": "mrr_at_1", "value": 81.593}, {"type": "mrr_at_10", "value": 88.331}, {"type": "mrr_at_100", "value": 88.408}, {"type": "mrr_at_1000", "value": 88.41}, {"type": "mrr_at_3", "value": 87.714}, {"type": "mrr_at_5", "value": 88.122}, {"type": "ndcg_at_1", "value": 81.593}, {"type": "ndcg_at_10", "value": 86.925}, {"type": "ndcg_at_100", "value": 87.67}, {"type": "ndcg_at_1000", "value": 87.924}, {"type": "ndcg_at_3", "value": 85.5}, {"type": "ndcg_at_5", "value": 86.283}, {"type": "precision_at_1", "value": 81.593}, {"type": "precision_at_10", "value": 10.264}, {"type": "precision_at_100", "value": 1.084}, {"type": "precision_at_1000", "value": 0.11199999999999999}, {"type": "precision_at_3", "value": 32.388}, {"type": "precision_at_5", "value": 19.991}, {"type": "recall_at_1", "value": 75.709}, {"type": "recall_at_10", "value": 93.107}, {"type": "recall_at_100", "value": 96.024}, {"type": "recall_at_1000", "value": 97.603}, {"type": "recall_at_3", "value": 89.08500000000001}, {"type": "recall_at_5", "value": 91.15299999999999}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB FiQA2018", "type": "fiqa", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 19.121}, {"type": "map_at_10", "value": 31.78}, {"type": "map_at_100", "value": 33.497}, {"type": "map_at_1000", "value": 33.696}, {"type": "map_at_3", "value": 27.893}, {"type": "map_at_5", "value": 30.087000000000003}, {"type": "mrr_at_1", "value": 38.272}, {"type": "mrr_at_10", "value": 47.176}, {"type": "mrr_at_100", "value": 48.002}, {"type": "mrr_at_1000", "value": 48.044}, {"type": "mrr_at_3", "value": 45.086999999999996}, {"type": "mrr_at_5", "value": 46.337}, {"type": "ndcg_at_1", "value": 38.272}, {"type": "ndcg_at_10", "value": 39.145}, {"type": "ndcg_at_100", "value": 45.696999999999996}, {"type": "ndcg_at_1000", "value": 49.0}, {"type": "ndcg_at_3", "value": 36.148}, {"type": "ndcg_at_5", "value": 37.023}, {"type": "precision_at_1", "value": 38.272}, {"type": "precision_at_10", "value": 11.065}, {"type": "precision_at_100", "value": 1.7840000000000003}, {"type": "precision_at_1000", "value": 0.23600000000000002}, {"type": "precision_at_3", "value": 24.587999999999997}, {"type": "precision_at_5", "value": 18.056}, {"type": "recall_at_1", "value": 19.121}, {"type": "recall_at_10", "value": 44.857}, {"type": "recall_at_100", "value": 69.774}, {"type": "recall_at_1000", "value": 89.645}, {"type": "recall_at_3", "value": 32.588}, {"type": "recall_at_5", "value": 37.939}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB HotpotQA", "type": "hotpotqa", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 36.428}, {"type": "map_at_10", "value": 56.891999999999996}, {"type": "map_at_100", "value": 57.82899999999999}, {"type": "map_at_1000", "value": 57.896}, {"type": "map_at_3", "value": 53.762}, {"type": "map_at_5", "value": 55.718}, {"type": "mrr_at_1", "value": 72.856}, {"type": "mrr_at_10", "value": 79.245}, {"type": "mrr_at_100", "value": 79.515}, {"type": "mrr_at_1000", "value": 79.525}, {"type": "mrr_at_3", "value": 78.143}, {"type": "mrr_at_5", "value": 78.822}, {"type": "ndcg_at_1", "value": 72.856}, {"type": "ndcg_at_10", "value": 65.204}, {"type": "ndcg_at_100", "value": 68.552}, {"type": "ndcg_at_1000", "value": 69.902}, {"type": "ndcg_at_3", "value": 60.632}, {"type": "ndcg_at_5", "value": 63.161}, {"type": "precision_at_1", "value": 72.856}, {"type": "precision_at_10", "value": 13.65}, {"type": "precision_at_100", "value": 1.6260000000000001}, {"type": "precision_at_1000", "value": 0.181}, {"type": "precision_at_3", "value": 38.753}, {"type": "precision_at_5", "value": 25.251}, {"type": "recall_at_1", "value": 36.428}, {"type": "recall_at_10", "value": 68.25099999999999}, {"type": "recall_at_100", "value": 81.317}, {"type": "recall_at_1000", "value": 90.27}, {"type": "recall_at_3", "value": 58.13}, {"type": "recall_at_5", "value": 63.126000000000005}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ImdbClassification", "type": "mteb/imdb", "config": "default", "split": "test", "revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7"}, "metrics": [{"type": "accuracy", "value": 89.4868}, {"type": "ap", "value": 84.88319192880247}, {"type": "f1", "value": 89.46144458052846}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB MSMARCO", "type": "msmarco", "config": "default", "split": "dev", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 21.282999999999998}, {"type": "map_at_10", "value": 33.045}, {"type": "map_at_100", "value": 34.238}, {"type": "map_at_1000", "value": 34.29}, {"type": "map_at_3", "value": 29.305999999999997}, {"type": "map_at_5", "value": 31.391000000000002}, {"type": "mrr_at_1", "value": 21.92}, {"type": "mrr_at_10", "value": 33.649}, {"type": "mrr_at_100", "value": 34.791}, {"type": "mrr_at_1000", "value": 34.837}, {"type": "mrr_at_3", "value": 30.0}, {"type": "mrr_at_5", "value": 32.039}, {"type": "ndcg_at_1", "value": 21.92}, {"type": "ndcg_at_10", "value": 39.729}, {"type": "ndcg_at_100", "value": 45.484}, {"type": "ndcg_at_1000", "value": 46.817}, {"type": "ndcg_at_3", "value": 32.084}, {"type": "ndcg_at_5", "value": 35.789}, {"type": "precision_at_1", "value": 21.92}, {"type": "precision_at_10", "value": 6.297}, {"type": "precision_at_100", "value": 0.918}, {"type": "precision_at_1000", "value": 0.10300000000000001}, {"type": "precision_at_3", "value": 13.639000000000001}, {"type": "precision_at_5", "value": 10.054}, {"type": "recall_at_1", "value": 21.282999999999998}, {"type": "recall_at_10", "value": 60.343999999999994}, {"type": "recall_at_100", "value": 86.981}, {"type": "recall_at_1000", "value": 97.205}, {"type": "recall_at_3", "value": 39.452999999999996}, {"type": "recall_at_5", "value": 48.333}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPDomainClassification (en)", "type": "mteb/mtop_domain", "config": "en", "split": "test", "revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf"}, "metrics": [{"type": "accuracy", "value": 95.47879616963064}, {"type": "f1", "value": 95.21800589958251}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPIntentClassification (en)", "type": "mteb/mtop_intent", "config": "en", "split": "test", "revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba"}, "metrics": [{"type": "accuracy", "value": 79.09256725946192}, {"type": "f1", "value": 60.554043889452515}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveIntentClassification (en)", "type": "mteb/amazon_massive_intent", "config": "en", "split": "test", "revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7"}, "metrics": [{"type": "accuracy", "value": 75.53463349024882}, {"type": "f1", "value": 73.14418495756476}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveScenarioClassification (en)", "type": "mteb/amazon_massive_scenario", "config": "en", "split": "test", "revision": "7d571f92784cd94a019292a1f45445077d0ef634"}, "metrics": [{"type": "accuracy", "value": 79.22663080026899}, {"type": "f1", "value": 79.331456217501}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringP2P", "type": "mteb/medrxiv-clustering-p2p", "config": "default", "split": "test", "revision": "e7a26af6f3ae46b30dde8737f02c07b1505bcc73"}, "metrics": [{"type": "v_measure", "value": 34.50316010430136}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringS2S", "type": "mteb/medrxiv-clustering-s2s", "config": "default", "split": "test", "revision": "35191c8c0dca72d8ff3efcd72aa802307d469663"}, "metrics": [{"type": "v_measure", "value": 32.15612040042282}]}, {"task": {"type": "Reranking"}, "dataset": {"name": "MTEB MindSmallReranking", "type": "mteb/mind_small", "config": "default", "split": "test", "revision": "3bdac13927fdc888b903db93b2ffdbd90b295a69"}, "metrics": [{"type": "map", "value": 32.36227552557184}, {"type": "mrr", "value": 33.57901344209811}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB NFCorpus", "type": "nfcorpus", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 5.6610000000000005}, {"type": "map_at_10", "value": 12.992}, {"type": "map_at_100", "value": 16.756999999999998}, {"type": "map_at_1000", "value": 18.25}, {"type": "map_at_3", "value": 9.471}, {"type": "map_at_5", "value": 11.116}, {"type": "mrr_at_1", "value": 43.653}, {"type": "mrr_at_10", "value": 53.388999999999996}, {"type": "mrr_at_100", "value": 53.982}, {"type": "mrr_at_1000", "value": 54.033}, {"type": "mrr_at_3", "value": 51.858000000000004}, {"type": "mrr_at_5", "value": 53.019000000000005}, {"type": "ndcg_at_1", "value": 41.641}, {"type": "ndcg_at_10", "value": 34.691}, {"type": "ndcg_at_100", "value": 32.305}, {"type": "ndcg_at_1000", "value": 41.132999999999996}, {"type": "ndcg_at_3", "value": 40.614}, {"type": "ndcg_at_5", "value": 38.456}, {"type": "precision_at_1", "value": 43.344}, {"type": "precision_at_10", "value": 25.881999999999998}, {"type": "precision_at_100", "value": 8.483}, {"type": "precision_at_1000", "value": 2.131}, {"type": "precision_at_3", "value": 38.803}, {"type": "precision_at_5", "value": 33.87}, {"type": "recall_at_1", "value": 5.6610000000000005}, {"type": "recall_at_10", "value": 16.826}, {"type": "recall_at_100", "value": 32.939}, {"type": "recall_at_1000", "value": 65.161}, {"type": "recall_at_3", "value": 10.756}, {"type": "recall_at_5", "value": 13.331000000000001}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB NQ", "type": "nq", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 26.692}, {"type": "map_at_10", "value": 41.065000000000005}, {"type": "map_at_100", "value": 42.235}, {"type": "map_at_1000", "value": 42.27}, {"type": "map_at_3", "value": 36.635}, {"type": "map_at_5", "value": 39.219}, {"type": "mrr_at_1", "value": 30.214000000000002}, {"type": "mrr_at_10", "value": 43.443}, {"type": "mrr_at_100", "value": 44.326}, {"type": "mrr_at_1000", "value": 44.352000000000004}, {"type": "mrr_at_3", "value": 39.623999999999995}, {"type": "mrr_at_5", "value": 41.898}, {"type": "ndcg_at_1", "value": 30.214000000000002}, {"type": "ndcg_at_10", "value": 48.692}, {"type": "ndcg_at_100", "value": 53.671}, {"type": "ndcg_at_1000", "value": 54.522000000000006}, {"type": "ndcg_at_3", "value": 40.245}, {"type": "ndcg_at_5", "value": 44.580999999999996}, {"type": "precision_at_1", "value": 30.214000000000002}, {"type": "precision_at_10", "value": 8.3}, {"type": "precision_at_100", "value": 1.1079999999999999}, {"type": "precision_at_1000", "value": 0.11900000000000001}, {"type": "precision_at_3", "value": 18.521}, {"type": "precision_at_5", "value": 13.627}, {"type": "recall_at_1", "value": 26.692}, {"type": "recall_at_10", "value": 69.699}, {"type": "recall_at_100", "value": 91.425}, {"type": "recall_at_1000", "value": 97.78099999999999}, {"type": "recall_at_3", "value": 47.711}, {"type": "recall_at_5", "value": 57.643}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB QuoraRetrieval", "type": "quora", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 70.962}, {"type": "map_at_10", "value": 84.772}, {"type": "map_at_100", "value": 85.402}, {"type": "map_at_1000", "value": 85.418}, {"type": "map_at_3", "value": 81.89}, {"type": "map_at_5", "value": 83.685}, {"type": "mrr_at_1", "value": 81.67}, {"type": "mrr_at_10", "value": 87.681}, {"type": "mrr_at_100", "value": 87.792}, {"type": "mrr_at_1000", "value": 87.79299999999999}, {"type": "mrr_at_3", "value": 86.803}, {"type": "mrr_at_5", "value": 87.392}, {"type": "ndcg_at_1", "value": 81.69}, {"type": "ndcg_at_10", "value": 88.429}, {"type": "ndcg_at_100", "value": 89.66}, {"type": "ndcg_at_1000", "value": 89.762}, {"type": "ndcg_at_3", "value": 85.75}, {"type": "ndcg_at_5", "value": 87.20700000000001}, {"type": "precision_at_1", "value": 81.69}, {"type": "precision_at_10", "value": 13.395000000000001}, {"type": "precision_at_100", "value": 1.528}, {"type": "precision_at_1000", "value": 0.157}, {"type": "precision_at_3", "value": 37.507000000000005}, {"type": "precision_at_5", "value": 24.614}, {"type": "recall_at_1", "value": 70.962}, {"type": "recall_at_10", "value": 95.339}, {"type": "recall_at_100", "value": 99.543}, {"type": "recall_at_1000", "value": 99.984}, {"type": "recall_at_3", "value": 87.54899999999999}, {"type": "recall_at_5", "value": 91.726}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClustering", "type": "mteb/reddit-clustering", "config": "default", "split": "test", "revision": "24640382cdbf8abc73003fb0fa6d111a705499eb"}, "metrics": [{"type": "v_measure", "value": 55.506631779239555}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClusteringP2P", "type": "mteb/reddit-clustering-p2p", "config": "default", "split": "test", "revision": "282350215ef01743dc01b456c7f5241fa8937f16"}, "metrics": [{"type": "v_measure", "value": 60.63731341848479}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB SCIDOCS", "type": "scidocs", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 4.852}, {"type": "map_at_10", "value": 13.175}, {"type": "map_at_100", "value": 15.623999999999999}, {"type": "map_at_1000", "value": 16.002}, {"type": "map_at_3", "value": 9.103}, {"type": "map_at_5", "value": 11.068999999999999}, {"type": "mrr_at_1", "value": 23.9}, {"type": "mrr_at_10", "value": 35.847}, {"type": "mrr_at_100", "value": 36.968}, {"type": "mrr_at_1000", "value": 37.018}, {"type": "mrr_at_3", "value": 32.300000000000004}, {"type": "mrr_at_5", "value": 34.14}, {"type": "ndcg_at_1", "value": 23.9}, {"type": "ndcg_at_10", "value": 21.889}, {"type": "ndcg_at_100", "value": 30.903000000000002}, {"type": "ndcg_at_1000", "value": 36.992000000000004}, {"type": "ndcg_at_3", "value": 20.274}, {"type": "ndcg_at_5", "value": 17.773}, {"type": "precision_at_1", "value": 23.9}, {"type": "precision_at_10", "value": 11.61}, {"type": "precision_at_100", "value": 2.4539999999999997}, {"type": "precision_at_1000", "value": 0.391}, {"type": "precision_at_3", "value": 19.133}, {"type": "precision_at_5", "value": 15.740000000000002}, {"type": "recall_at_1", "value": 4.852}, {"type": "recall_at_10", "value": 23.507}, {"type": "recall_at_100", "value": 49.775000000000006}, {"type": "recall_at_1000", "value": 79.308}, {"type": "recall_at_3", "value": 11.637}, {"type": "recall_at_5", "value": 15.947}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB SICK-R", "type": "mteb/sickr-sts", "config": "default", "split": "test", "revision": "a6ea5a8cab320b040a23452cc28066d9beae2cee"}, "metrics": [{"type": "cos_sim_pearson", "value": 86.03345827446948}, {"type": "cos_sim_spearman", "value": 80.53174518259549}, {"type": "euclidean_pearson", "value": 83.44538971660883}, {"type": "euclidean_spearman", "value": 80.57344324098692}, {"type": "manhattan_pearson", "value": 83.36528808195459}, {"type": "manhattan_spearman", "value": 80.48931287157902}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS12", "type": "mteb/sts12-sts", "config": "default", "split": "test", "revision": "a0d554a64d88156834ff5ae9920b964011b16384"}, "metrics": [{"type": "cos_sim_pearson", "value": 85.21363088257881}, {"type": "cos_sim_spearman", "value": 75.56589127055523}, {"type": "euclidean_pearson", "value": 82.32868324521908}, {"type": "euclidean_spearman", "value": 75.31928550664554}, {"type": "manhattan_pearson", "value": 82.31332875713211}, {"type": "manhattan_spearman", "value": 75.35376322099196}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS13", "type": "mteb/sts13-sts", "config": "default", "split": "test", "revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca"}, "metrics": [{"type": "cos_sim_pearson", "value": 85.09085593258487}, {"type": "cos_sim_spearman", "value": 86.26355088415221}, {"type": "euclidean_pearson", "value": 85.49646115361156}, {"type": "euclidean_spearman", "value": 86.20652472228703}, {"type": "manhattan_pearson", "value": 85.44084081123815}, {"type": "manhattan_spearman", "value": 86.1162623448951}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS14", "type": "mteb/sts14-sts", "config": "default", "split": "test", "revision": "6031580fec1f6af667f0bd2da0a551cf4f0b2375"}, "metrics": [{"type": "cos_sim_pearson", "value": 84.68250248349368}, {"type": "cos_sim_spearman", "value": 82.29883673695083}, {"type": "euclidean_pearson", "value": 84.17633035446019}, {"type": "euclidean_spearman", "value": 82.19990511264791}, {"type": "manhattan_pearson", "value": 84.17408410692279}, {"type": "manhattan_spearman", "value": 82.249873895981}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS15", "type": "mteb/sts15-sts", "config": "default", "split": "test", "revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3"}, "metrics": [{"type": "cos_sim_pearson", "value": 87.31878760045024}, {"type": "cos_sim_spearman", "value": 88.7364409031183}, {"type": "euclidean_pearson", "value": 88.230537618603}, {"type": "euclidean_spearman", "value": 88.76484309646318}, {"type": "manhattan_pearson", "value": 88.17689071136469}, {"type": "manhattan_spearman", "value": 88.72809249037928}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS16", "type": "mteb/sts16-sts", "config": "default", "split": "test", "revision": "4d8694f8f0e0100860b497b999b3dbed754a0513"}, "metrics": [{"type": "cos_sim_pearson", "value": 83.41078559110638}, {"type": "cos_sim_spearman", "value": 85.27439135411049}, {"type": "euclidean_pearson", "value": 84.5333571592088}, {"type": "euclidean_spearman", "value": 85.25645460575957}, {"type": "manhattan_pearson", "value": 84.38428921610226}, {"type": "manhattan_spearman", "value": 85.07796040798796}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS17 (en-en)", "type": "mteb/sts17-crosslingual-sts", "config": "en-en", "split": "test", "revision": "af5e6fb845001ecf41f4c1e033ce921939a2a68d"}, "metrics": [{"type": "cos_sim_pearson", "value": 88.82374132382576}, {"type": "cos_sim_spearman", "value": 89.02101343562433}, {"type": "euclidean_pearson", "value": 89.50729765458932}, {"type": "euclidean_spearman", "value": 89.04184772869253}, {"type": "manhattan_pearson", "value": 89.51737904059856}, {"type": "manhattan_spearman", "value": 89.12925950440676}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS22 (en)", "type": "mteb/sts22-crosslingual-sts", "config": "en", "split": "test", "revision": "6d1ba47164174a496b7fa5d3569dae26a6813b80"}, "metrics": [{"type": "cos_sim_pearson", "value": 67.56051823873482}, {"type": "cos_sim_spearman", "value": 68.50988748185463}, {"type": "euclidean_pearson", "value": 69.16524346147456}, {"type": "euclidean_spearman", "value": 68.61859952449579}, {"type": "manhattan_pearson", "value": 69.10618915706995}, {"type": "manhattan_spearman", "value": 68.36401769459522}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STSBenchmark", "type": "mteb/stsbenchmark-sts", "config": "default", "split": "test", "revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831"}, "metrics": [{"type": "cos_sim_pearson", "value": 85.4159693872625}, {"type": "cos_sim_spearman", "value": 87.07819121764247}, {"type": "euclidean_pearson", "value": 87.03013260863153}, {"type": "euclidean_spearman", "value": 87.06547293631309}, {"type": "manhattan_pearson", "value": 86.8129744446062}, {"type": "manhattan_spearman", "value": 86.88494096335627}]}, {"task": {"type": "Reranking"}, "dataset": {"name": "MTEB SciDocsRR", "type": "mteb/scidocs-reranking", "config": "default", "split": "test", "revision": "d3c5e1fc0b855ab6097bf1cda04dd73947d7caab"}, "metrics": [{"type": "map", "value": 86.47758088996575}, {"type": "mrr", "value": 96.17891458577733}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB SciFact", "type": "scifact", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 57.538999999999994}, {"type": "map_at_10", "value": 66.562}, {"type": "map_at_100", "value": 67.254}, {"type": "map_at_1000", "value": 67.284}, {"type": "map_at_3", "value": 63.722}, {"type": "map_at_5", "value": 65.422}, {"type": "mrr_at_1", "value": 60.0}, {"type": "mrr_at_10", "value": 67.354}, {"type": "mrr_at_100", "value": 67.908}, {"type": "mrr_at_1000", "value": 67.93299999999999}, {"type": "mrr_at_3", "value": 65.056}, {"type": "mrr_at_5", "value": 66.43900000000001}, {"type": "ndcg_at_1", "value": 60.0}, {"type": "ndcg_at_10", "value": 70.858}, {"type": "ndcg_at_100", "value": 73.67099999999999}, {"type": "ndcg_at_1000", "value": 74.26700000000001}, {"type": "ndcg_at_3", "value": 65.911}, {"type": "ndcg_at_5", "value": 68.42200000000001}, {"type": "precision_at_1", "value": 60.0}, {"type": "precision_at_10", "value": 9.4}, {"type": "precision_at_100", "value": 1.083}, {"type": "precision_at_1000", "value": 0.11299999999999999}, {"type": "precision_at_3", "value": 25.444}, {"type": "precision_at_5", "value": 17.0}, {"type": "recall_at_1", "value": 57.538999999999994}, {"type": "recall_at_10", "value": 83.233}, {"type": "recall_at_100", "value": 95.667}, {"type": "recall_at_1000", "value": 100.0}, {"type": "recall_at_3", "value": 69.883}, {"type": "recall_at_5", "value": 76.19399999999999}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB SprintDuplicateQuestions", "type": "mteb/sprintduplicatequestions-pairclassification", "config": "default", "split": "test", "revision": "d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46"}, "metrics": [{"type": "cos_sim_accuracy", "value": 99.82574257425742}, {"type": "cos_sim_ap", "value": 95.78722833053911}, {"type": "cos_sim_f1", "value": 90.94650205761316}, {"type": "cos_sim_precision", "value": 93.64406779661016}, {"type": "cos_sim_recall", "value": 88.4}, {"type": "dot_accuracy", "value": 99.83366336633664}, {"type": "dot_ap", "value": 95.89733601612964}, {"type": "dot_f1", "value": 91.41981613891727}, {"type": "dot_precision", "value": 93.42379958246346}, {"type": "dot_recall", "value": 89.5}, {"type": "euclidean_accuracy", "value": 99.82574257425742}, {"type": "euclidean_ap", "value": 95.75227035138846}, {"type": "euclidean_f1", "value": 90.96509240246407}, {"type": "euclidean_precision", "value": 93.45991561181435}, {"type": "euclidean_recall", "value": 88.6}, {"type": "manhattan_accuracy", "value": 99.82574257425742}, {"type": "manhattan_ap", "value": 95.76278266220176}, {"type": "manhattan_f1", "value": 91.08409321175279}, {"type": "manhattan_precision", "value": 92.29979466119097}, {"type": "manhattan_recall", "value": 89.9}, {"type": "max_accuracy", "value": 99.83366336633664}, {"type": "max_ap", "value": 95.89733601612964}, {"type": "max_f1", "value": 91.41981613891727}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClustering", "type": "mteb/stackexchange-clustering", "config": "default", "split": "test", "revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259"}, "metrics": [{"type": "v_measure", "value": 61.905425988638605}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClusteringP2P", "type": "mteb/stackexchange-clustering-p2p", "config": "default", "split": "test", "revision": "815ca46b2622cec33ccafc3735d572c266efdb44"}, "metrics": [{"type": "v_measure", "value": 36.159589881679736}]}, {"task": {"type": "Reranking"}, "dataset": {"name": "MTEB StackOverflowDupQuestions", "type": "mteb/stackoverflowdupquestions-reranking", "config": "default", "split": "test", "revision": "e185fbe320c72810689fc5848eb6114e1ef5ec69"}, "metrics": [{"type": "map", "value": 53.0605499476397}, {"type": "mrr", "value": 53.91594516594517}]}, {"task": {"type": "Summarization"}, "dataset": {"name": "MTEB SummEval", "type": "mteb/summeval", "config": "default", "split": "test", "revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c"}, "metrics": [{"type": "cos_sim_pearson", "value": 30.202718009067}, {"type": "cos_sim_spearman", "value": 31.136199912366987}, {"type": "dot_pearson", "value": 30.66329011927951}, {"type": "dot_spearman", "value": 30.107664909625107}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB TRECCOVID", "type": "trec-covid", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 0.209}, {"type": "map_at_10", "value": 1.712}, {"type": "map_at_100", "value": 9.464}, {"type": "map_at_1000", "value": 23.437}, {"type": "map_at_3", "value": 0.609}, {"type": "map_at_5", "value": 0.9440000000000001}, {"type": "mrr_at_1", "value": 78.0}, {"type": "mrr_at_10", "value": 86.833}, {"type": "mrr_at_100", "value": 86.833}, {"type": "mrr_at_1000", "value": 86.833}, {"type": "mrr_at_3", "value": 85.333}, {"type": "mrr_at_5", "value": 86.833}, {"type": "ndcg_at_1", "value": 74.0}, {"type": "ndcg_at_10", "value": 69.14}, {"type": "ndcg_at_100", "value": 53.047999999999995}, {"type": "ndcg_at_1000", "value": 48.577}, {"type": "ndcg_at_3", "value": 75.592}, {"type": "ndcg_at_5", "value": 72.509}, {"type": "precision_at_1", "value": 78.0}, {"type": "precision_at_10", "value": 73.0}, {"type": "precision_at_100", "value": 54.44}, {"type": "precision_at_1000", "value": 21.326}, {"type": "precision_at_3", "value": 80.667}, {"type": "precision_at_5", "value": 77.2}, {"type": "recall_at_1", "value": 0.209}, {"type": "recall_at_10", "value": 1.932}, {"type": "recall_at_100", "value": 13.211999999999998}, {"type": "recall_at_1000", "value": 45.774}, {"type": "recall_at_3", "value": 0.644}, {"type": "recall_at_5", "value": 1.0290000000000001}]}, {"task": {"type": "Retrieval"}, "dataset": {"name": "MTEB Touche2020", "type": "webis-touche2020", "config": "default", "split": "test", "revision": "None"}, "metrics": [{"type": "map_at_1", "value": 2.609}, {"type": "map_at_10", "value": 8.334999999999999}, {"type": "map_at_100", "value": 14.604000000000001}, {"type": "map_at_1000", "value": 16.177}, {"type": "map_at_3", "value": 4.87}, {"type": "map_at_5", "value": 6.3149999999999995}, {"type": "mrr_at_1", "value": 32.653}, {"type": "mrr_at_10", "value": 45.047}, {"type": "mrr_at_100", "value": 45.808}, {"type": "mrr_at_1000", "value": 45.808}, {"type": "mrr_at_3", "value": 41.497}, {"type": "mrr_at_5", "value": 43.231}, {"type": "ndcg_at_1", "value": 30.612000000000002}, {"type": "ndcg_at_10", "value": 21.193}, {"type": "ndcg_at_100", "value": 34.97}, {"type": "ndcg_at_1000", "value": 46.69}, {"type": "ndcg_at_3", "value": 24.823}, {"type": "ndcg_at_5", "value": 22.872999999999998}, {"type": "precision_at_1", "value": 32.653}, {"type": "precision_at_10", "value": 17.959}, {"type": "precision_at_100", "value": 7.4079999999999995}, {"type": "precision_at_1000", "value": 1.537}, {"type": "precision_at_3", "value": 25.85}, {"type": "precision_at_5", "value": 22.448999999999998}, {"type": "recall_at_1", "value": 2.609}, {"type": "recall_at_10", "value": 13.63}, {"type": "recall_at_100", "value": 47.014}, {"type": "recall_at_1000", "value": 83.176}, {"type": "recall_at_3", "value": 5.925}, {"type": "recall_at_5", "value": 8.574}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ToxicConversationsClassification", "type": "mteb/toxic_conversations_50k", "config": "default", "split": "test", "revision": "d7c0de2777da35d6aae2200a62c6e0e5af397c4c"}, "metrics": [{"type": "accuracy", "value": 72.80239999999999}, {"type": "ap", "value": 15.497911013214791}, {"type": "f1", "value": 56.258411577947285}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB TweetSentimentExtractionClassification", "type": "mteb/tweet_sentiment_extraction", "config": "default", "split": "test", "revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a"}, "metrics": [{"type": "accuracy", "value": 61.00452744765139}, {"type": "f1", "value": 61.42228624410908}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB TwentyNewsgroupsClustering", "type": "mteb/twentynewsgroups-clustering", "config": "default", "split": "test", "revision": "6125ec4e24fa026cec8a478383ee943acfbd5449"}, "metrics": [{"type": "v_measure", "value": 50.00516915962345}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterSemEval2015", "type": "mteb/twittersemeval2015-pairclassification", "config": "default", "split": "test", "revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"}, "metrics": [{"type": "cos_sim_accuracy", "value": 85.62317458425225}, {"type": "cos_sim_ap", "value": 72.95115658063823}, {"type": "cos_sim_f1", "value": 66.78976523344764}, {"type": "cos_sim_precision", "value": 66.77215189873418}, {"type": "cos_sim_recall", "value": 66.80738786279683}, {"type": "dot_accuracy", "value": 85.62317458425225}, {"type": "dot_ap", "value": 73.10385271517778}, {"type": "dot_f1", "value": 66.94853829427399}, {"type": "dot_precision", "value": 61.74242424242424}, {"type": "dot_recall", "value": 73.11345646437995}, {"type": "euclidean_accuracy", "value": 85.65893783155511}, {"type": "euclidean_ap", "value": 72.87428208473992}, {"type": "euclidean_f1", "value": 66.70919994896005}, {"type": "euclidean_precision", "value": 64.5910551025451}, {"type": "euclidean_recall", "value": 68.97097625329816}, {"type": "manhattan_accuracy", "value": 85.59933241938367}, {"type": "manhattan_ap", "value": 72.67282695064966}, {"type": "manhattan_f1", "value": 66.67537215983286}, {"type": "manhattan_precision", "value": 66.00310237849017}, {"type": "manhattan_recall", "value": 67.36147757255937}, {"type": "max_accuracy", "value": 85.65893783155511}, {"type": "max_ap", "value": 73.10385271517778}, {"type": "max_f1", "value": 66.94853829427399}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterURLCorpus", "type": "mteb/twitterurlcorpus-pairclassification", "config": "default", "split": "test", "revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"}, "metrics": [{"type": "cos_sim_accuracy", "value": 88.69096130709822}, {"type": "cos_sim_ap", "value": 85.30326978668063}, {"type": "cos_sim_f1", "value": 77.747088683189}, {"type": "cos_sim_precision", "value": 75.4491451753115}, {"type": "cos_sim_recall", "value": 80.189405605174}, {"type": "dot_accuracy", "value": 88.43870066363954}, {"type": "dot_ap", "value": 84.62999949222983}, {"type": "dot_f1", "value": 77.3074661963551}, {"type": "dot_precision", "value": 73.93871239808828}, {"type": "dot_recall", "value": 80.99784416384355}, {"type": "euclidean_accuracy", "value": 88.70066363953894}, {"type": "euclidean_ap", "value": 85.34184508966621}, {"type": "euclidean_f1", "value": 77.76871756856931}, {"type": "euclidean_precision", "value": 74.97855917667239}, {"type": "euclidean_recall", "value": 80.77456113335386}, {"type": "manhattan_accuracy", "value": 88.68319944114566}, {"type": "manhattan_ap", "value": 85.3026464242333}, {"type": "manhattan_f1", "value": 77.66561049296294}, {"type": "manhattan_precision", "value": 74.4665818849795}, {"type": "manhattan_recall", "value": 81.15183246073299}, {"type": "max_accuracy", "value": 88.70066363953894}, {"type": "max_ap", "value": 85.34184508966621}, {"type": "max_f1", "value": 77.76871756856931}]}]}]}
sentence-transformers pytorch safetensors bert feature-extraction mteb sentence-similarity en arxiv:2212.09741 license:mit model-index endpoints_compatible region:us