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- .gitattributes +1 -0
- 1_Pooling/config.json +10 -0
- README.md +49 -0
- benchmark.png +3 -0
- config.json +25 -0
- config_sentence_transformers.json +11 -0
- model.safetensors +3 -0
- modules.json +20 -0
- results/AmazonCounterfactualClassification.json +139 -0
- results/ArXivHierarchicalClusteringP2P.json +46 -0
- results/ArXivHierarchicalClusteringS2S.json +46 -0
- results/ArguAna.json +166 -0
- results/AskUbuntuDupQuestions.json +166 -0
- results/BIOSSES.json +26 -0
- results/Banking77Classification.json +139 -0
- results/BiorxivClusteringP2P.v2.json +34 -0
- results/CQADupstackGamingRetrieval.json +166 -0
- results/CQADupstackUnixRetrieval.json +166 -0
- results/ClimateFEVERHardNegatives.json +166 -0
- results/FEVERHardNegatives.json +166 -0
- results/FiQA2018.json +166 -0
- results/HotpotQAHardNegatives.json +166 -0
- results/ImdbClassification.json +139 -0
- results/MTOPDomainClassification.json +139 -0
- results/MassiveIntentClassification.json +139 -0
- results/MassiveScenarioClassification.json +139 -0
- results/MedrxivClusteringP2P.v2.json +34 -0
- results/MedrxivClusteringS2S.v2.json +34 -0
- results/MindSmallReranking.json +251 -0
- results/SCIDOCS.json +166 -0
- results/SICK-R.json +26 -0
- results/STS12.json +26 -0
- results/STS13.json +26 -0
- results/STS14.json +26 -0
- results/STS15.json +26 -0
- results/STS17.json +26 -0
- results/STS22.v2.json +26 -0
- results/STSBenchmark.json +26 -0
- results/SprintDuplicateQuestions.json +48 -0
- results/StackExchangeClustering.v2.json +34 -0
- results/StackExchangeClusteringP2P.v2.json +34 -0
- results/SummEvalSummarization.v2.json +24 -0
- results/TRECCOVID.json +166 -0
- results/Touche2020Retrieval.v3.json +166 -0
- results/ToxicConversationsClassification.json +139 -0
- results/TweetSentimentExtractionClassification.json +139 -0
- results/TwentyNewsgroupsClustering.v2.json +34 -0
- results/TwitterSemEval2015.json +48 -0
- results/TwitterURLCorpus.json +48 -0
- results/model_meta.json +1 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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benchmark.png filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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{
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"word_embedding_dimension": 1024,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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---
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license: apache-2.0
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- mteb
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- arctic
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- snowflake-arctic-embed
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- transformers.js
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---
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## arctic-embed-l-tech_and_fiction
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This is a finetuned version of: [snowflake-arctic-embed-l](https://huggingface.co/Snowflake/snowflake-arctic-embed-l/)
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It is finetuned on a dataset of ~110K high quality synthetic examples, manually curated and edited.
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The examples are primarily tech oriented, with some terms from fantasy and sci-fi fiction for good measure.
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## Training Code
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Code for training this model is here: [train.py](./train.py)
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Note, this code is for Model A shown below.
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For this model (Model B below) I trained at rank 128, alpha 128, with a learning rate of around 6e-6 I think, for around 10 epochs.
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## Benchmark Results
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I've included the results for MTEB benchmark "MTEB(eng, v2)" in the [results](./results/) folder.
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Here is a screenshot of the results summary (this is Model B):
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## License
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arctic-embed-l-tech_and_fiction is licensed under the [Apache-2](https://www.apache.org/licenses/LICENSE-2.0). The released models can be used for commercial purposes free of charge.
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## Acknowledgement
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Thank you to the Snowflake team for making some excellent models!
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benchmark.png
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Git LFS Details
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config.json
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{
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"torch_dtype": "bfloat16",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.56.2",
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"type_vocab_size": 2,
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"unsloth_version": "2025.12.1",
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"use_cache": true,
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"vocab_size": 30522
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.7.0.dev0",
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"transformers": "4.39.3",
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"pytorch": "2.1.0+cu121"
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},
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"prompts": {
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"query": "Represent this sentence for searching relevant passages: "
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},
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"default_prompt_name": null
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a13f16e0ef8060b09fba61a9a1f924c08cbd6b902637e550c85940b338a37df8
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size 1336413848
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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results/AmazonCounterfactualClassification.json
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@@ -0,0 +1,139 @@
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{
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"dataset_revision": "1f7e6a9d6fa6e64c53d146e428565640410c0df1",
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| 3 |
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"task_name": "AmazonCounterfactualClassification",
|
| 4 |
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"mteb_version": "2.3.5",
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| 5 |
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"scores": {
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"test": [
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{
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"scores_per_experiment": [
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{
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"f1": 0.586506,
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"f1_weighted": 0.684595,
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"ap": 0.273508,
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},
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"accuracy": 0.697015,
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"ap_weighted": 0.369966
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},
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{
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results/ArXivHierarchicalClusteringP2P.json
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@@ -0,0 +1,46 @@
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results/ArXivHierarchicalClusteringS2S.json
ADDED
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@@ -0,0 +1,46 @@
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results/ArguAna.json
ADDED
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@@ -0,0 +1,166 @@
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| 166 |
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|
results/AskUbuntuDupQuestions.json
ADDED
|
@@ -0,0 +1,166 @@
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| 1 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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}
|
results/BIOSSES.json
ADDED
|
@@ -0,0 +1,26 @@
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|
|
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|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 10 |
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| 14 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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results/Banking77Classification.json
ADDED
|
@@ -0,0 +1,139 @@
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| 1 |
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| 3 |
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| 4 |
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| 5 |
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|
results/BiorxivClusteringP2P.v2.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 32 |
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| 33 |
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| 34 |
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|
results/CQADupstackGamingRetrieval.json
ADDED
|
@@ -0,0 +1,166 @@
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results/CQADupstackUnixRetrieval.json
ADDED
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@@ -0,0 +1,166 @@
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| 166 |
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|
results/ClimateFEVERHardNegatives.json
ADDED
|
@@ -0,0 +1,166 @@
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
+
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|
| 158 |
+
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|
| 159 |
+
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|
| 160 |
+
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|
| 161 |
+
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|
| 162 |
+
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|
| 163 |
+
},
|
| 164 |
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"evaluation_time": 449.19873213768005,
|
| 165 |
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"kg_co2_emissions": null
|
| 166 |
+
}
|
results/FEVERHardNegatives.json
ADDED
|
@@ -0,0 +1,166 @@
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
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|
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|
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|
|
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|
|
|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
|
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|
|
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|
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|
|
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|
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|
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|
|
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|
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|
|
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|
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 12 |
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| 23 |
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| 24 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 33 |
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| 34 |
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| 35 |
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| 40 |
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| 48 |
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| 50 |
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| 51 |
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|
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|
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
+
}
|
results/FiQA2018.json
ADDED
|
@@ -0,0 +1,166 @@
|
|
|
|
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|
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| 1 |
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|
| 160 |
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| 161 |
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| 163 |
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| 166 |
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|
results/HotpotQAHardNegatives.json
ADDED
|
@@ -0,0 +1,166 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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| 6 |
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| 159 |
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|
| 160 |
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| 161 |
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| 166 |
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|
results/ImdbClassification.json
ADDED
|
@@ -0,0 +1,139 @@
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|
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|
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|
| 139 |
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}
|
results/MTOPDomainClassification.json
ADDED
|
@@ -0,0 +1,139 @@
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results/MassiveIntentClassification.json
ADDED
|
@@ -0,0 +1,139 @@
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|
results/MassiveScenarioClassification.json
ADDED
|
@@ -0,0 +1,139 @@
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results/MedrxivClusteringP2P.v2.json
ADDED
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@@ -0,0 +1,34 @@
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| 1 |
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{
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 28 |
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| 30 |
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| 34 |
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results/MedrxivClusteringS2S.v2.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 28 |
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| 31 |
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results/MindSmallReranking.json
ADDED
|
@@ -0,0 +1,251 @@
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|
results/SCIDOCS.json
ADDED
|
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|
|
|
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|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 12 |
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| 14 |
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| 16 |
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| 17 |
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| 19 |
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| 20 |
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| 21 |
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| 26 |
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| 30 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 40 |
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| 42 |
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| 43 |
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| 69 |
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| 99 |
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|
| 100 |
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|
| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 106 |
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| 107 |
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|
| 108 |
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|
| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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|
| 120 |
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|
| 121 |
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| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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| 138 |
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| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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| 144 |
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|
| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
+
"eng-Latn"
|
| 160 |
+
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|
| 161 |
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}
|
| 162 |
+
]
|
| 163 |
+
},
|
| 164 |
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|
| 165 |
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|
| 166 |
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|
results/SICK-R.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "20a6d6f312dd54037fe07a32d58e5e168867909d",
|
| 3 |
+
"task_name": "SICK-R",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.818956,
|
| 9 |
+
"spearman": 0.755086,
|
| 10 |
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"cosine_pearson": 0.818956,
|
| 11 |
+
"cosine_spearman": 0.755086,
|
| 12 |
+
"manhattan_pearson": 0.794581,
|
| 13 |
+
"manhattan_spearman": 0.754753,
|
| 14 |
+
"euclidean_pearson": 0.794736,
|
| 15 |
+
"euclidean_spearman": 0.755086,
|
| 16 |
+
"main_score": 0.755086,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
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"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 14.770185232162476,
|
| 25 |
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"kg_co2_emissions": null
|
| 26 |
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|
results/STS12.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "a0d554a64d88156834ff5ae9920b964011b16384",
|
| 3 |
+
"task_name": "STS12",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.747066,
|
| 9 |
+
"spearman": 0.671139,
|
| 10 |
+
"cosine_pearson": 0.747066,
|
| 11 |
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"cosine_spearman": 0.671139,
|
| 12 |
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"manhattan_pearson": 0.711023,
|
| 13 |
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"manhattan_spearman": 0.671594,
|
| 14 |
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"euclidean_pearson": 0.710487,
|
| 15 |
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"euclidean_spearman": 0.671139,
|
| 16 |
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"main_score": 0.671139,
|
| 17 |
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"hf_subset": "default",
|
| 18 |
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"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 6.07265830039978,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
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}
|
results/STS13.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca",
|
| 3 |
+
"task_name": "STS13",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.787439,
|
| 9 |
+
"spearman": 0.794128,
|
| 10 |
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"cosine_pearson": 0.787439,
|
| 11 |
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"cosine_spearman": 0.794128,
|
| 12 |
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"manhattan_pearson": 0.792422,
|
| 13 |
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"manhattan_spearman": 0.793896,
|
| 14 |
+
"euclidean_pearson": 0.792596,
|
| 15 |
+
"euclidean_spearman": 0.794128,
|
| 16 |
+
"main_score": 0.794128,
|
| 17 |
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"hf_subset": "default",
|
| 18 |
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"languages": [
|
| 19 |
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"eng-Latn"
|
| 20 |
+
]
|
| 21 |
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}
|
| 22 |
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]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 2.542609930038452,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
+
}
|
results/STS14.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "6031580fec1f6af667f0bd2da0a551cf4f0b2375",
|
| 3 |
+
"task_name": "STS14",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.778421,
|
| 9 |
+
"spearman": 0.730703,
|
| 10 |
+
"cosine_pearson": 0.778421,
|
| 11 |
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"cosine_spearman": 0.730702,
|
| 12 |
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"manhattan_pearson": 0.76257,
|
| 13 |
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"manhattan_spearman": 0.730385,
|
| 14 |
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"euclidean_pearson": 0.762853,
|
| 15 |
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"euclidean_spearman": 0.730703,
|
| 16 |
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"main_score": 0.730702,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 6.641091346740723,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
+
}
|
results/STS15.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3",
|
| 3 |
+
"task_name": "STS15",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.82503,
|
| 9 |
+
"spearman": 0.832935,
|
| 10 |
+
"cosine_pearson": 0.82503,
|
| 11 |
+
"cosine_spearman": 0.832935,
|
| 12 |
+
"manhattan_pearson": 0.827663,
|
| 13 |
+
"manhattan_spearman": 0.833017,
|
| 14 |
+
"euclidean_pearson": 0.827557,
|
| 15 |
+
"euclidean_spearman": 0.832935,
|
| 16 |
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"main_score": 0.832935,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 5.315732002258301,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
+
}
|
results/STS17.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "faeb762787bd10488a50c8b5be4a3b82e411949c",
|
| 3 |
+
"task_name": "STS17",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.850936,
|
| 9 |
+
"spearman": 0.863504,
|
| 10 |
+
"cosine_pearson": 0.850936,
|
| 11 |
+
"cosine_spearman": 0.863504,
|
| 12 |
+
"manhattan_pearson": 0.858119,
|
| 13 |
+
"manhattan_spearman": 0.863436,
|
| 14 |
+
"euclidean_pearson": 0.857847,
|
| 15 |
+
"euclidean_spearman": 0.863504,
|
| 16 |
+
"main_score": 0.863504,
|
| 17 |
+
"hf_subset": "en-en",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 0.366685152053833,
|
| 25 |
+
"kg_co2_emissions": null
|
| 26 |
+
}
|
results/STS22.v2.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "d31f33a128469b20e357535c39b82fb3c3f6f2bd",
|
| 3 |
+
"task_name": "STS22.v2",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.682427,
|
| 9 |
+
"spearman": 0.682858,
|
| 10 |
+
"cosine_pearson": 0.682427,
|
| 11 |
+
"cosine_spearman": 0.682858,
|
| 12 |
+
"manhattan_pearson": 0.695294,
|
| 13 |
+
"manhattan_spearman": 0.678261,
|
| 14 |
+
"euclidean_pearson": 0.697765,
|
| 15 |
+
"euclidean_spearman": 0.682858,
|
| 16 |
+
"main_score": 0.682858,
|
| 17 |
+
"hf_subset": "en",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 6.849907875061035,
|
| 25 |
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"kg_co2_emissions": null
|
| 26 |
+
}
|
results/STSBenchmark.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831",
|
| 3 |
+
"task_name": "STSBenchmark",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
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"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.80547,
|
| 9 |
+
"spearman": 0.800609,
|
| 10 |
+
"cosine_pearson": 0.80547,
|
| 11 |
+
"cosine_spearman": 0.800609,
|
| 12 |
+
"manhattan_pearson": 0.807637,
|
| 13 |
+
"manhattan_spearman": 0.800915,
|
| 14 |
+
"euclidean_pearson": 0.807593,
|
| 15 |
+
"euclidean_spearman": 0.800609,
|
| 16 |
+
"main_score": 0.800609,
|
| 17 |
+
"hf_subset": "default",
|
| 18 |
+
"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
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]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 2.4762179851531982,
|
| 25 |
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"kg_co2_emissions": null
|
| 26 |
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}
|
results/SprintDuplicateQuestions.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46",
|
| 3 |
+
"task_name": "SprintDuplicateQuestions",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"similarity_accuracy": 0.998139,
|
| 9 |
+
"similarity_f1": 0.906838,
|
| 10 |
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"similarity_precision": 0.898821,
|
| 11 |
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"similarity_recall": 0.915,
|
| 12 |
+
"similarity_ap": 0.946636,
|
| 13 |
+
"cosine_accuracy": 0.998139,
|
| 14 |
+
"cosine_f1": 0.906838,
|
| 15 |
+
"cosine_precision": 0.898821,
|
| 16 |
+
"cosine_recall": 0.915,
|
| 17 |
+
"cosine_ap": 0.946636,
|
| 18 |
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"manhattan_accuracy": 0.998119,
|
| 19 |
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"manhattan_f1": 0.905492,
|
| 20 |
+
"manhattan_precision": 0.89618,
|
| 21 |
+
"manhattan_recall": 0.915,
|
| 22 |
+
"manhattan_ap": 0.946595,
|
| 23 |
+
"euclidean_accuracy": 0.998139,
|
| 24 |
+
"euclidean_f1": 0.906838,
|
| 25 |
+
"euclidean_precision": 0.898821,
|
| 26 |
+
"euclidean_recall": 0.915,
|
| 27 |
+
"euclidean_ap": 0.946636,
|
| 28 |
+
"dot_accuracy": 0.998139,
|
| 29 |
+
"dot_f1": 0.906838,
|
| 30 |
+
"dot_precision": 0.898821,
|
| 31 |
+
"dot_recall": 0.915,
|
| 32 |
+
"dot_ap": 0.946636,
|
| 33 |
+
"max_accuracy": 0.998139,
|
| 34 |
+
"max_f1": 0.906838,
|
| 35 |
+
"max_precision": 0.898821,
|
| 36 |
+
"max_recall": 0.915,
|
| 37 |
+
"max_ap": 0.946636,
|
| 38 |
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"main_score": 0.946636,
|
| 39 |
+
"hf_subset": "default",
|
| 40 |
+
"languages": [
|
| 41 |
+
"eng-Latn"
|
| 42 |
+
]
|
| 43 |
+
}
|
| 44 |
+
]
|
| 45 |
+
},
|
| 46 |
+
"evaluation_time": 175.06178259849548,
|
| 47 |
+
"kg_co2_emissions": null
|
| 48 |
+
}
|
results/StackExchangeClustering.v2.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259",
|
| 3 |
+
"task_name": "StackExchangeClustering.v2",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"v_measures": {
|
| 9 |
+
"Level 0": [
|
| 10 |
+
0.608624,
|
| 11 |
+
0.614347,
|
| 12 |
+
0.610241,
|
| 13 |
+
0.614611,
|
| 14 |
+
0.618373,
|
| 15 |
+
0.616131,
|
| 16 |
+
0.605268,
|
| 17 |
+
0.614997,
|
| 18 |
+
0.608024,
|
| 19 |
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0.621991
|
| 20 |
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]
|
| 21 |
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},
|
| 22 |
+
"v_measure": 0.613261,
|
| 23 |
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"v_measure_std": 0.004884,
|
| 24 |
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"main_score": 0.613261,
|
| 25 |
+
"hf_subset": "default",
|
| 26 |
+
"languages": [
|
| 27 |
+
"eng-Latn"
|
| 28 |
+
]
|
| 29 |
+
}
|
| 30 |
+
]
|
| 31 |
+
},
|
| 32 |
+
"evaluation_time": 7.578378677368164,
|
| 33 |
+
"kg_co2_emissions": null
|
| 34 |
+
}
|
results/StackExchangeClusteringP2P.v2.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "815ca46b2622cec33ccafc3735d572c266efdb44",
|
| 3 |
+
"task_name": "StackExchangeClusteringP2P.v2",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"v_measures": {
|
| 9 |
+
"Level 0": [
|
| 10 |
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0.409606,
|
| 11 |
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0.417217,
|
| 12 |
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0.420211,
|
| 13 |
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0.409225,
|
| 14 |
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0.413964,
|
| 15 |
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0.406734,
|
| 16 |
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0.419918,
|
| 17 |
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0.419058,
|
| 18 |
+
0.415426,
|
| 19 |
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0.420281
|
| 20 |
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]
|
| 21 |
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},
|
| 22 |
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"v_measure": 0.415164,
|
| 23 |
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"v_measure_std": 0.004821,
|
| 24 |
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"main_score": 0.415164,
|
| 25 |
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"hf_subset": "default",
|
| 26 |
+
"languages": [
|
| 27 |
+
"eng-Latn"
|
| 28 |
+
]
|
| 29 |
+
}
|
| 30 |
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]
|
| 31 |
+
},
|
| 32 |
+
"evaluation_time": 43.319039821624756,
|
| 33 |
+
"kg_co2_emissions": null
|
| 34 |
+
}
|
results/SummEvalSummarization.v2.json
ADDED
|
@@ -0,0 +1,24 @@
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c",
|
| 3 |
+
"task_name": "SummEvalSummarization.v2",
|
| 4 |
+
"mteb_version": "2.3.5",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.372641,
|
| 9 |
+
"spearman": 0.318366,
|
| 10 |
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"cosine_spearman": 0.318366,
|
| 11 |
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"cosine_pearson": 0.372641,
|
| 12 |
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"dot_pearson": 0.372641,
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
+
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|
| 22 |
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|
| 23 |
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|
| 24 |
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}
|
results/TRECCOVID.json
ADDED
|
@@ -0,0 +1,166 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
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|
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|
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|
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|
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|
| 1 |
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{
|
| 2 |
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| 3 |
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|
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|
| 158 |
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| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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| 164 |
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|
| 165 |
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|
| 166 |
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|
results/Touche2020Retrieval.v3.json
ADDED
|
@@ -0,0 +1,166 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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results/ToxicConversationsClassification.json
ADDED
|
@@ -0,0 +1,139 @@
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 139 |
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results/TweetSentimentExtractionClassification.json
ADDED
|
@@ -0,0 +1,139 @@
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|
results/TwentyNewsgroupsClustering.v2.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 27 |
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| 28 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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results/TwitterSemEval2015.json
ADDED
|
@@ -0,0 +1,48 @@
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| 1 |
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| 40 |
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| 41 |
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| 42 |
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|
results/TwitterURLCorpus.json
ADDED
|
@@ -0,0 +1,48 @@
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|
| 1 |
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{
|
| 2 |
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| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"test": [
|
| 7 |
+
{
|
| 8 |
+
"similarity_accuracy": 0.884115,
|
| 9 |
+
"similarity_f1": 0.768936,
|
| 10 |
+
"similarity_precision": 0.750531,
|
| 11 |
+
"similarity_recall": 0.788266,
|
| 12 |
+
"similarity_ap": 0.849454,
|
| 13 |
+
"cosine_accuracy": 0.884115,
|
| 14 |
+
"cosine_f1": 0.768936,
|
| 15 |
+
"cosine_precision": 0.750531,
|
| 16 |
+
"cosine_recall": 0.788266,
|
| 17 |
+
"cosine_ap": 0.849454,
|
| 18 |
+
"manhattan_accuracy": 0.884096,
|
| 19 |
+
"manhattan_f1": 0.770008,
|
| 20 |
+
"manhattan_precision": 0.754695,
|
| 21 |
+
"manhattan_recall": 0.785956,
|
| 22 |
+
"manhattan_ap": 0.849331,
|
| 23 |
+
"euclidean_accuracy": 0.884115,
|
| 24 |
+
"euclidean_f1": 0.768936,
|
| 25 |
+
"euclidean_precision": 0.750531,
|
| 26 |
+
"euclidean_recall": 0.788266,
|
| 27 |
+
"euclidean_ap": 0.849454,
|
| 28 |
+
"dot_accuracy": 0.884115,
|
| 29 |
+
"dot_f1": 0.768936,
|
| 30 |
+
"dot_precision": 0.750531,
|
| 31 |
+
"dot_recall": 0.788266,
|
| 32 |
+
"dot_ap": 0.849454,
|
| 33 |
+
"max_accuracy": 0.884115,
|
| 34 |
+
"max_f1": 0.770008,
|
| 35 |
+
"max_precision": 0.754695,
|
| 36 |
+
"max_recall": 0.788266,
|
| 37 |
+
"max_ap": 0.849454,
|
| 38 |
+
"main_score": 0.849454,
|
| 39 |
+
"hf_subset": "default",
|
| 40 |
+
"languages": [
|
| 41 |
+
"eng-Latn"
|
| 42 |
+
]
|
| 43 |
+
}
|
| 44 |
+
]
|
| 45 |
+
},
|
| 46 |
+
"evaluation_time": 108.92075967788696,
|
| 47 |
+
"kg_co2_emissions": null
|
| 48 |
+
}
|
results/model_meta.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"loader_kwargs": {}, "name": "electroglyph/test", "revision": "cf3639f629e99dec53cce217490b04c926b01ab7", "release_date": null, "languages": null, "n_parameters": null, "memory_usage_mb": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch"], "reference": null, "similarity_fn_name": null, "use_instructions": null, "training_datasets": null, "adapted_from": null, "superseded_by": null, "modalities": ["text"], "is_cross_encoder": null, "citation": null, "contacts": null, "loader": "sentence_transformers_loader"}
|