Add results for `MiraclHardnegatives.v2`, `RiaNewsHardnegatives.v2` (#333)

* Ria and Miracle HardNegatives.v2 results

* Ria and Miracle HardNegatives.v2 results

* Ria and Miracle HardNegatives.v2 results

* Ria and Miracle HardNegatives.v2 results

* Ria and Miracle HardNegatives.v2 results

* Ria and Miracle HardNegatives.v2 results

* remove ipynb checkpoints

results/BAAI__bge-base-en-v1.5/a5beb1e3e68b9ab74eb54cfd186867f64f240e1a/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
+{
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+  },
+  "evaluation_time": 955.0346875190735,
+  "kg_co2_emissions": null
+}

results/BAAI__bge-base-en-v1.5/a5beb1e3e68b9ab74eb54cfd186867f64f240e1a/RiaNewsRetrievalHardNegatives.v2.json

@@ -0,0 +1,166 @@
+{
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+}

results/BAAI__bge-base-en-v1.5/a5beb1e3e68b9ab74eb54cfd186867f64f240e1a/model_meta.json

@@ -1 +1 @@
-{"name": "BAAI/bge-base-en-v1.5", "revision": "a5beb1e3e68b9ab74eb54cfd186867f64f240e1a", "release_date": "2023-09-11", "languages": ["eng_Latn"], "n_parameters": 109000000, "memory_usage_mb": 390.0, "max_tokens": 512.0, "embed_dim": 768, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": "https://data.baai.ac.cn/details/BAAI-MTP", "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/BAAI/bge-base-en-v1.5", "similarity_fn_name": "cosine", "use_instructions": true, "training_datasets": {"NQ": ["test"], "NQ-NL": ["test"], "NQHardNegatives": ["test"], "AmazonReviewsClassification": ["validation", "test"], "MLQARetrieval": ["validation", "test"]}, "adapted_from": null, "superseded_by": null, "modalities": ["text"], "loader": "sentence_transformers_loader"}
+{"name": "BAAI/bge-base-en-v1.5", "revision": "a5beb1e3e68b9ab74eb54cfd186867f64f240e1a", "release_date": "2023-09-11", "languages": ["eng-Latn"], "n_parameters": 109000000, "memory_usage_mb": 390.0, "max_tokens": 512.0, "embed_dim": 768, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": "https://data.baai.ac.cn/details/BAAI-MTP", "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/BAAI/bge-base-en-v1.5", "similarity_fn_name": "cosine", "use_instructions": true, "training_datasets": {"NQ": ["test"], "NQ-NL": ["test"], "NQHardNegatives": ["test"], "AmazonReviewsClassification": ["validation", "test"], "MLQARetrieval": ["validation", "test"], "DuRetrieval": ["train"]}, "adapted_from": null, "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": "sentence_transformers_loader"}

results/BAAI__bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
+{
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+}

results/BAAI__bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/RiaNewsRetrievalHardNegatives.v2.json

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+}

results/BAAI__bge-large-en-v1.5/d4aa6901d3a41ba39fb536a557fa166f842b0e09/model_meta.json

@@ -1 +1 @@
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+{"name": "BAAI/bge-large-en-v1.5", "revision": "d4aa6901d3a41ba39fb536a557fa166f842b0e09", "release_date": "2023-09-12", "languages": ["eng-Latn"], "n_parameters": 335000000, "memory_usage_mb": 1242.0, "max_tokens": 512.0, "embed_dim": 1024, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": "https://data.baai.ac.cn/details/BAAI-MTP", "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/BAAI/bge-large-en-v1.5", "similarity_fn_name": "cosine", "use_instructions": true, "training_datasets": {"NQ": ["test"], "NQ-NL": ["test"], "NQHardNegatives": ["test"], "AmazonReviewsClassification": ["validation", "test"], "MLQARetrieval": ["validation", "test"], "DuRetrieval": ["train"]}, "adapted_from": null, "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": "sentence_transformers_loader"}

results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
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+}

results/BAAI__bge-m3/5617a9f61b028005a4858fdac845db406aefb181/RiaNewsRetrievalHardNegatives.v2.json

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results/BAAI__bge-small-en-v1.5/5c38ec7c405ec4b44b94cc5a9bb96e735b38267a/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
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+}

results/BAAI__bge-small-en-v1.5/5c38ec7c405ec4b44b94cc5a9bb96e735b38267a/RiaNewsRetrievalHardNegatives.v2.json

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results/BAAI__bge-small-en-v1.5/5c38ec7c405ec4b44b94cc5a9bb96e735b38267a/model_meta.json

@@ -1 +1 @@
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+{"name": "BAAI/bge-small-en-v1.5", "revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a", "release_date": "2023-09-12", "languages": ["eng-Latn"], "n_parameters": 33400000, "memory_usage_mb": 127.0, "max_tokens": 512.0, "embed_dim": 512, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": "https://data.baai.ac.cn/details/BAAI-MTP", "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/BAAI/bge-small-en-v1.5", "similarity_fn_name": "cosine", "use_instructions": true, "training_datasets": {"NQ": ["test"], "NQ-NL": ["test"], "NQHardNegatives": ["test"], "AmazonReviewsClassification": ["validation", "test"], "MLQARetrieval": ["validation", "test"], "DuRetrieval": ["train"]}, "adapted_from": null, "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": "sentence_transformers_loader"}

results/DeepPavlov__distilrubert-small-cased-conversational/e348066b4a7279b97138038299bddc6580a9169a/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
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+}

results/DeepPavlov__distilrubert-small-cased-conversational/e348066b4a7279b97138038299bddc6580a9169a/RiaNewsRetrievalHardNegatives.v2.json

@@ -0,0 +1,166 @@
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results/DeepPavlov__distilrubert-small-cased-conversational/e348066b4a7279b97138038299bddc6580a9169a/model_meta.json

@@ -1 +1 @@
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results/DeepPavlov__rubert-base-cased-sentence/78b5122d6365337dd4114281b0d08cd1edbb3bc8/MIRACLRetrievalHardNegatives.v2.json

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results/DeepPavlov__rubert-base-cased-sentence/78b5122d6365337dd4114281b0d08cd1edbb3bc8/RiaNewsRetrievalHardNegatives.v2.json

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results/DeepPavlov__rubert-base-cased-sentence/78b5122d6365337dd4114281b0d08cd1edbb3bc8/model_meta.json

@@ -1 +1 @@
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results/DeepPavlov__rubert-base-cased/4036cab694767a299f2b9e6492909664d9414229/MIRACLRetrievalHardNegatives.v2.json

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results/DeepPavlov__rubert-base-cased/4036cab694767a299f2b9e6492909664d9414229/RiaNewsRetrievalHardNegatives.v2.json

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results/DeepPavlov__rubert-base-cased/4036cab694767a299f2b9e6492909664d9414229/model_meta.json

@@ -1 +1 @@
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results/GritLM__GritLM-7B/13f00a0e36500c80ce12870ea513846a066004af/MIRACLRetrievalHardNegatives.v2.json

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results/GritLM__GritLM-7B/13f00a0e36500c80ce12870ea513846a066004af/RiaNewsRetrievalHardNegatives.v2.json

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results/GritLM__GritLM-7B/13f00a0e36500c80ce12870ea513846a066004af/model_meta.json

@@ -1 +1 @@
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results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v1.5/fcff2f8a54e4cd96b7766fef1ee960a43d42bb3c/MIRACLRetrievalHardNegatives.v2.json

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+}

results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v1.5/fcff2f8a54e4cd96b7766fef1ee960a43d42bb3c/RiaNewsRetrievalHardNegatives.v2.json

@@ -0,0 +1,166 @@
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+}

results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v1.5/fcff2f8a54e4cd96b7766fef1ee960a43d42bb3c/model_meta.json

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results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v1/45e42c89990c40aca042659133fc8b13c28634b5/MIRACLRetrievalHardNegatives.v2.json

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results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v1/45e42c89990c40aca042659133fc8b13c28634b5/RiaNewsRetrievalHardNegatives.v2.json

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results/HIT-TMG__KaLM-embedding-multilingual-mini-instruct-v1/45e42c89990c40aca042659133fc8b13c28634b5/model_meta.json

@@ -1 +1 @@
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results/Lajavaness__bilingual-embedding-base/0bfc54bb2aa2666dd84715289c7ef58a95eb4d8d/MIRACLRetrievalHardNegatives.v2.json

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results/Lajavaness__bilingual-embedding-base/0bfc54bb2aa2666dd84715289c7ef58a95eb4d8d/RiaNewsRetrievalHardNegatives.v2.json

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+}

results/Lajavaness__bilingual-embedding-base/0bfc54bb2aa2666dd84715289c7ef58a95eb4d8d/model_meta.json

@@ -1 +1 @@
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results/Lajavaness__bilingual-embedding-small/ed4a1dd814de0db81d4a4e287c296a03194463e3/MIRACLRetrievalHardNegatives.v2.json

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+}

results/Lajavaness__bilingual-embedding-small/ed4a1dd814de0db81d4a4e287c296a03194463e3/RiaNewsRetrievalHardNegatives.v2.json

@@ -0,0 +1,166 @@
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+}

results/Lajavaness__bilingual-embedding-small/ed4a1dd814de0db81d4a4e287c296a03194463e3/model_meta.json

@@ -1 +1 @@
-{"name": "Lajavaness/bilingual-embedding-small", "revision": "ed4a1dd814de0db81d4a4e287c296a03194463e3", "release_date": "2024-07-17", "languages": ["fra_Latn", "eng_Latn"], "n_parameters": 117653760, "memory_usage_mb": 449.0, "max_tokens": 512.0, "embed_dim": 384, "license": "apache-2.0", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch", "Sentence Transformers"], "reference": "https://huggingface.co/Lajavaness/bilingual-embedding-small", "similarity_fn_name": "cosine", "use_instructions": null, "training_datasets": null, "adapted_from": "dangvantuan/bilingual_impl", "superseded_by": null, "modalities": ["text"], "loader": "sentence_transformers_loader"}
+{"name": "Lajavaness/bilingual-embedding-small", "revision": "ed4a1dd814de0db81d4a4e287c296a03194463e3", "release_date": "2024-07-17", "languages": ["fra-Latn", "eng-Latn"], "n_parameters": 117653760, "memory_usage_mb": 449.0, "max_tokens": 512.0, "embed_dim": 384, "license": "apache-2.0", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch", "Sentence Transformers"], "reference": "https://huggingface.co/Lajavaness/bilingual-embedding-small", "similarity_fn_name": "cosine", "use_instructions": null, "training_datasets": {"STSBenchmark": ["train"], "STSBenchmarkMultilingualSTS": ["train"], "XNLI": ["train"]}, "adapted_from": "dangvantuan/bilingual_impl", "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": "sentence_transformers_loader"}

results/Linq-AI-Research__Linq-Embed-Mistral/0c1a0b0589177079acc552433cad51d7c9132379/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
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results/Linq-AI-Research__Linq-Embed-Mistral/0c1a0b0589177079acc552433cad51d7c9132379/model_meta.json

@@ -1 +1 @@
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results/Mihaiii__Bulbasaur/6876f839e18ae36224049a41194a431953f08747/MIRACLRetrievalHardNegatives.v2.json

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results/Mihaiii__Bulbasaur/6876f839e18ae36224049a41194a431953f08747/RiaNewsRetrievalHardNegatives.v2.json

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results/Mihaiii__Bulbasaur/6876f839e18ae36224049a41194a431953f08747/model_meta.json

@@ -1 +1 @@
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results/Mihaiii__Ivysaur/65914d976f45beb4bda7485c39d88865b4ce6554/MIRACLRetrievalHardNegatives.v2.json

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results/Mihaiii__Ivysaur/65914d976f45beb4bda7485c39d88865b4ce6554/RiaNewsRetrievalHardNegatives.v2.json

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results/Mihaiii__Ivysaur/65914d976f45beb4bda7485c39d88865b4ce6554/model_meta.json

@@ -1 +1 @@
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results/Mihaiii__Squirtle/5b991da48a9286637a256d4a35aab87a1a57b78a/MIRACLRetrievalHardNegatives.v2.json

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results/Mihaiii__Squirtle/5b991da48a9286637a256d4a35aab87a1a57b78a/RiaNewsRetrievalHardNegatives.v2.json

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+}

results/Mihaiii__Squirtle/5b991da48a9286637a256d4a35aab87a1a57b78a/model_meta.json

@@ -1 +1 @@
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+{"name": "Mihaiii/Squirtle", "revision": "5b991da48a9286637a256d4a35aab87a1a57b78a", "release_date": "2024-04-30", "languages": null, "n_parameters": 15615360, "memory_usage_mb": 60.0, "max_tokens": 512.0, "embed_dim": 384, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch", "Sentence Transformers"], "reference": "https://huggingface.co/Mihaiii/Squirtle", "similarity_fn_name": "cosine", "use_instructions": null, "training_datasets": {"NQ": ["test"], "NQ-NL": ["test"], "NQHardNegatives": ["test"], "AmazonReviewsClassification": ["validation", "test"], "MLQARetrieval": ["validation", "test"], "DuRetrieval": ["train"]}, "adapted_from": "Mihaiii/test21", "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": null}

results/Mihaiii__Venusaur/0dc817f0addbb7bab8feeeeaded538f9ffeb3419/MIRACLRetrievalHardNegatives.v2.json

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+}

results/Mihaiii__Venusaur/0dc817f0addbb7bab8feeeeaded538f9ffeb3419/RiaNewsRetrievalHardNegatives.v2.json

@@ -0,0 +1,166 @@
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+}

results/Mihaiii__Venusaur/0dc817f0addbb7bab8feeeeaded538f9ffeb3419/model_meta.json

@@ -1 +1 @@
-{"name": "Mihaiii/Venusaur", "revision": "0dc817f0addbb7bab8feeeeaded538f9ffeb3419", "release_date": "2024-04-29", "languages": null, "n_parameters": 15615360, "memory_usage_mb": 60.0, "max_tokens": 512.0, "embed_dim": 384, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch", "Sentence Transformers"], "reference": "https://huggingface.co/Mihaiii/Venusaur", "similarity_fn_name": "cosine", "use_instructions": null, "training_datasets": null, "adapted_from": "Mihaiii/test14", "superseded_by": null, "modalities": ["text"], "loader": null}
+{"name": "Mihaiii/Venusaur", "revision": "0dc817f0addbb7bab8feeeeaded538f9ffeb3419", "release_date": "2024-04-29", "languages": null, "n_parameters": 15615360, "memory_usage_mb": 60.0, "max_tokens": 512.0, "embed_dim": 384, "license": "mit", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch", "Sentence Transformers"], "reference": "https://huggingface.co/Mihaiii/Venusaur", "similarity_fn_name": "cosine", "use_instructions": null, "training_datasets": null, "adapted_from": "Mihaiii/test14", "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": null}

results/Mihaiii__Wartortle/14caca5253414d38a7d28b62d1b7c30ef3293a87/MIRACLRetrievalHardNegatives.v2.json

@@ -0,0 +1,158 @@
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+}