Add human results (#281)
Browse files* add human restuls
* rename dir
* rename tasks
* add model meta
* update googlegemma results
* fix tests
* Human Results Fetching and Saving Script
* removed some unnessary lines
* remove script
* fix name
---------
Co-authored-by: Adnan El Assadi <[email protected]>
This view is limited to 50 files because it contains too many changes.
See raw diff
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEArxivClusteringP2P.json +23 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMECore17InstructionReranking.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEEmotionClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEMultilingualSentimentClassification.json +347 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMENews21InstructionReranking.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMERedditClusteringP2P.json +23 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMERobust04InstructionReranking.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESIB200ClusteringS2S.json +71 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESICK-R.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESTS12.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESTS22.json +71 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESTSBenchmark.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEToxicConversationsClassification.json +95 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMETweetSentimentExtractionClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEWikiCitiesClustering.json +23 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEWikipediaRerankingMultilingual.json +56 -0
- results/Human/2025_09_25/HUMEArxivClusteringP2P.json +40 -0
- results/Human/2025_09_25/HUMECore17InstructionReranking.json +43 -0
- results/Human/2025_09_25/HUMEEmotionClassification.json +45 -0
- results/Human/2025_09_25/HUMEMultilingualSentimentClassification.json +81 -0
- results/Human/2025_09_25/HUMENews21InstructionReranking.json +43 -0
- results/Human/2025_09_25/HUMERedditClusteringP2P.json +40 -0
- results/Human/2025_09_25/HUMERobust04InstructionReranking.json +43 -0
- results/Human/2025_09_25/HUMESIB200ClusteringS2S.json +70 -0
- results/Human/2025_09_25/HUMESICK-R.json +40 -0
- results/Human/2025_09_25/HUMESTS12.json +40 -0
- results/Human/2025_09_25/HUMESTS22.json +60 -0
- results/Human/2025_09_25/HUMESTSBenchmark.json +40 -0
- results/Human/2025_09_25/HUMEToxicConversationsClassification.json +45 -0
- results/Human/2025_09_25/HUMETweetSentimentExtractionClassification.json +45 -0
- results/Human/2025_09_25/HUMEWikiCitiesClustering.json +40 -0
- results/Human/2025_09_25/HUMEWikipediaRerankingMultilingual.json +63 -0
- results/Human/2025_09_25/model_meta.json +32 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEArxivClusteringP2P.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMECore17InstructionReranking.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEEmotionClassification.json +23 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEMultilingualSentimentClassification.json +35 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMENews21InstructionReranking.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMERedditClusteringP2P.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMERobust04InstructionReranking.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESIB200ClusteringS2S.json +31 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESICK-R.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESTS12.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESTS22.json +31 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESTSBenchmark.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEToxicConversationsClassification.json +23 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMETweetSentimentExtractionClassification.json +23 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEWikiCitiesClustering.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEWikipediaRerankingMultilingual.json +21 -0
- results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/model_meta.json +32 -0
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEArxivClusteringP2P.json
ADDED
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@@ -0,0 +1,23 @@
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{
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"dataset_revision": "6d2f0e9d4f4a51cb54332acaef10478928f0fed8",
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| 3 |
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"task_name": "HUMEArxivClusteringP2P",
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| 4 |
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"mteb_version": "1.34.7",
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"scores": {
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"test": [
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{
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"v_measure": 0.70809,
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| 9 |
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"v_measure_std": 0.0,
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"v_measures": [
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0.70809
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],
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| 13 |
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"main_score": 0.70809,
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"hf_subset": "default",
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"languages": [
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"eng-Latn"
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]
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}
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]
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},
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"evaluation_time": 1.5556542873382568,
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| 22 |
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"kg_co2_emissions": null
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| 23 |
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}
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results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMECore17InstructionReranking.json
ADDED
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{
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"dataset_revision": "e2b1a26cb5277a040d7f96a79fef0cf00afe9ffe",
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"task_name": "HUMECore17InstructionReranking",
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"mteb_version": "1.34.7",
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"scores": {
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"test": [
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{
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| 8 |
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"map": 0.975278,
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"mrr": 1.0,
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"nAUC_map_max": 0.668246,
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| 11 |
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"nAUC_map_std": 0.153815,
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| 12 |
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"nAUC_map_diff1": -0.293609,
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| 13 |
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"nAUC_mrr_max": NaN,
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| 14 |
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"nAUC_mrr_std": NaN,
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| 15 |
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"nAUC_mrr_diff1": NaN,
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| 16 |
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"main_score": 0.975278,
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| 17 |
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"hf_subset": "default",
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| 18 |
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"languages": [
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"eng-Latn"
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]
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| 21 |
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}
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]
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},
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| 24 |
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"evaluation_time": 11.637855529785156,
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| 25 |
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"kg_co2_emissions": null
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| 26 |
+
}
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results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEEmotionClassification.json
ADDED
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@@ -0,0 +1,73 @@
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{
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"dataset_revision": "97b95feb5922dbcde62c7f12704b104e70ab9772",
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"task_name": "HUMEEmotionClassification",
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"mteb_version": "1.34.7",
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"scores": {
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"test": [
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{
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"accuracy": 0.5625,
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"f1": 0.564673,
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"f1_weighted": 0.564673,
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"scores_per_experiment": [
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{
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"accuracy": 0.583333,
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"f1": 0.591746,
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"f1_weighted": 0.591746
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},
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{
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"accuracy": 0.583333,
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"f1": 0.578081,
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"f1_weighted": 0.578081
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},
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{
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"accuracy": 0.583333,
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"f1": 0.579348,
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"f1_weighted": 0.579348
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},
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{
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"accuracy": 0.479167,
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"f1": 0.486732,
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"f1_weighted": 0.486732
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},
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{
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"accuracy": 0.604167,
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"f1": 0.600359,
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"f1_weighted": 0.600359
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},
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{
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"accuracy": 0.520833,
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"f1": 0.524936,
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"f1_weighted": 0.524936
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},
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{
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"accuracy": 0.625,
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"f1": 0.626318,
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| 45 |
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"f1_weighted": 0.626318
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| 46 |
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},
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| 47 |
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{
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| 48 |
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"accuracy": 0.5625,
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| 49 |
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"f1": 0.563484,
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| 50 |
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"f1_weighted": 0.563484
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| 51 |
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},
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{
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| 53 |
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"accuracy": 0.541667,
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| 54 |
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"f1": 0.550168,
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"f1_weighted": 0.550168
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| 56 |
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},
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{
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| 58 |
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"accuracy": 0.541667,
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| 59 |
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"f1": 0.545561,
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| 60 |
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"f1_weighted": 0.545561
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| 61 |
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}
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],
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| 63 |
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"main_score": 0.5625,
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| 64 |
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"hf_subset": "default",
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"languages": [
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"eng-Latn"
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]
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}
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| 69 |
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]
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},
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| 71 |
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"evaluation_time": 53.476561546325684,
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| 72 |
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"kg_co2_emissions": null
|
| 73 |
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}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEMultilingualSentimentClassification.json
ADDED
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"main_score": 0.745,
|
| 338 |
+
"hf_subset": "rus",
|
| 339 |
+
"languages": [
|
| 340 |
+
"rus-Cyrl"
|
| 341 |
+
]
|
| 342 |
+
}
|
| 343 |
+
]
|
| 344 |
+
},
|
| 345 |
+
"evaluation_time": 46.330416440963745,
|
| 346 |
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|
| 347 |
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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMENews21InstructionReranking.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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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "22208ecbb54618adb1592fd2ba7cdd92d643d9de",
|
| 3 |
+
"task_name": "HUMENews21InstructionReranking",
|
| 4 |
+
"mteb_version": "1.34.7",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"map": 0.991935,
|
| 9 |
+
"mrr": 1.0,
|
| 10 |
+
"nAUC_map_max": 0.268032,
|
| 11 |
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"nAUC_map_std": 1.0,
|
| 12 |
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"nAUC_map_diff1": -0.149477,
|
| 13 |
+
"nAUC_mrr_max": NaN,
|
| 14 |
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"nAUC_mrr_std": NaN,
|
| 15 |
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"nAUC_mrr_diff1": NaN,
|
| 16 |
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"main_score": 0.991935,
|
| 17 |
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"hf_subset": "default",
|
| 18 |
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"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 18.617928981781006,
|
| 25 |
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|
| 26 |
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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMERedditClusteringP2P.json
ADDED
|
@@ -0,0 +1,23 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "b38bea0ed72e69047a725a96b8022ff2f036bbde",
|
| 3 |
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"task_name": "HUMERedditClusteringP2P",
|
| 4 |
+
"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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"v_measure": 0.884048,
|
| 9 |
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"v_measure_std": 0.0,
|
| 10 |
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"v_measures": [
|
| 11 |
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0.884048
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| 12 |
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],
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| 13 |
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"main_score": 0.884048,
|
| 14 |
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"hf_subset": "default",
|
| 15 |
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"languages": [
|
| 16 |
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"eng-Latn"
|
| 17 |
+
]
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
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},
|
| 21 |
+
"evaluation_time": 1.3931756019592285,
|
| 22 |
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"kg_co2_emissions": null
|
| 23 |
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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMERobust04InstructionReranking.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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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"dataset_revision": "77756407fed441d7be778b7464c34ccf4700af2e",
|
| 3 |
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"task_name": "HUMERobust04InstructionReranking",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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"map": 0.985488,
|
| 9 |
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"mrr": 1.0,
|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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"nAUC_mrr_diff1": NaN,
|
| 16 |
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"main_score": 0.985488,
|
| 17 |
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"hf_subset": "default",
|
| 18 |
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|
| 19 |
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"eng-Latn"
|
| 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/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESIB200ClusteringS2S.json
ADDED
|
@@ -0,0 +1,71 @@
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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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"dataset_revision": "d41717b1b94c0155f5ae7f84034e01af61be455e",
|
| 3 |
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"task_name": "HUMESIB200ClusteringS2S",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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|
| 6 |
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"test": [
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"eng-Latn"
|
| 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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0.737142
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| 24 |
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],
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| 25 |
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|
| 26 |
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"hf_subset": "arb_Arab",
|
| 27 |
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"languages": [
|
| 28 |
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"ara-Arab"
|
| 29 |
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]
|
| 30 |
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},
|
| 31 |
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{
|
| 32 |
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"v_measure": 0.671089,
|
| 33 |
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"v_measure_std": 0.0,
|
| 34 |
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"v_measures": [
|
| 35 |
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0.671089
|
| 36 |
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],
|
| 37 |
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"main_score": 0.671089,
|
| 38 |
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"hf_subset": "dan_Latn",
|
| 39 |
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"languages": [
|
| 40 |
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"dan-Latn"
|
| 41 |
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]
|
| 42 |
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},
|
| 43 |
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{
|
| 44 |
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"v_measure": 0.777077,
|
| 45 |
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|
| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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"fra-Latn"
|
| 53 |
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]
|
| 54 |
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},
|
| 55 |
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{
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| 56 |
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|
| 57 |
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|
| 58 |
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| 59 |
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| 60 |
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| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESICK-R.json
ADDED
|
@@ -0,0 +1,26 @@
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|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "cf7172d4b730a743570f25291d04abeee086c824",
|
| 3 |
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"task_name": "HUMESICK-R",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 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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| 11 |
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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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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESTS12.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
|
| 2 |
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"dataset_revision": "76cbf76792ec03cb1f76dc6ada05abcb23c82c0c",
|
| 3 |
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"task_name": "HUMESTS12",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
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| 7 |
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{
|
| 8 |
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|
| 9 |
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"spearman": 0.869002,
|
| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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"euclidean_spearman": 0.869002,
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| 16 |
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"main_score": 0.869002,
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| 17 |
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"hf_subset": "default",
|
| 18 |
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|
| 19 |
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"eng-Latn"
|
| 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/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESTS22.json
ADDED
|
@@ -0,0 +1,71 @@
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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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"dataset_revision": "ab40ed76c4283318b7b146aff31f8cdefd6ebae0",
|
| 3 |
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"task_name": "HUMESTS22",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 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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|
| 11 |
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|
| 12 |
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|
| 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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"eng-Latn"
|
| 20 |
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]
|
| 21 |
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},
|
| 22 |
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{
|
| 23 |
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"pearson": 0.189903,
|
| 24 |
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|
| 25 |
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|
| 26 |
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"cosine_spearman": 0.287968,
|
| 27 |
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|
| 28 |
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"manhattan_spearman": 0.287968,
|
| 29 |
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"euclidean_pearson": 0.27173,
|
| 30 |
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"euclidean_spearman": 0.287968,
|
| 31 |
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"main_score": 0.287968,
|
| 32 |
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"hf_subset": "ar",
|
| 33 |
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"languages": [
|
| 34 |
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"ara-Arab"
|
| 35 |
+
]
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
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|
| 39 |
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|
| 40 |
+
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|
| 41 |
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|
| 42 |
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"manhattan_pearson": 0.863765,
|
| 43 |
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"manhattan_spearman": 0.828992,
|
| 44 |
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|
| 45 |
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|
| 46 |
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"main_score": 0.825035,
|
| 47 |
+
"hf_subset": "fr",
|
| 48 |
+
"languages": [
|
| 49 |
+
"fra-Latn"
|
| 50 |
+
]
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"pearson": 0.530445,
|
| 54 |
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"spearman": 0.541743,
|
| 55 |
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"cosine_pearson": 0.530445,
|
| 56 |
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"cosine_spearman": 0.541743,
|
| 57 |
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|
| 58 |
+
"manhattan_spearman": 0.555286,
|
| 59 |
+
"euclidean_pearson": 0.533574,
|
| 60 |
+
"euclidean_spearman": 0.541743,
|
| 61 |
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"main_score": 0.541743,
|
| 62 |
+
"hf_subset": "ru",
|
| 63 |
+
"languages": [
|
| 64 |
+
"rus-Cyrl"
|
| 65 |
+
]
|
| 66 |
+
}
|
| 67 |
+
]
|
| 68 |
+
},
|
| 69 |
+
"evaluation_time": 18.626118659973145,
|
| 70 |
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| 71 |
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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMESTSBenchmark.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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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "cb05d5409f802e68d6ed39615ed67f7dc2235ac5",
|
| 3 |
+
"task_name": "HUMESTSBenchmark",
|
| 4 |
+
"mteb_version": "1.34.7",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"pearson": 0.832126,
|
| 9 |
+
"spearman": 0.79978,
|
| 10 |
+
"cosine_pearson": 0.832126,
|
| 11 |
+
"cosine_spearman": 0.79978,
|
| 12 |
+
"manhattan_pearson": 0.82872,
|
| 13 |
+
"manhattan_spearman": 0.801896,
|
| 14 |
+
"euclidean_pearson": 0.829453,
|
| 15 |
+
"euclidean_spearman": 0.79978,
|
| 16 |
+
"main_score": 0.79978,
|
| 17 |
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"hf_subset": "default",
|
| 18 |
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"languages": [
|
| 19 |
+
"eng-Latn"
|
| 20 |
+
]
|
| 21 |
+
}
|
| 22 |
+
]
|
| 23 |
+
},
|
| 24 |
+
"evaluation_time": 3.714766263961792,
|
| 25 |
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"kg_co2_emissions": null
|
| 26 |
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|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEToxicConversationsClassification.json
ADDED
|
@@ -0,0 +1,95 @@
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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 |
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{
|
| 2 |
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"dataset_revision": "3db547359a8e0d077f0c9df3f50e11ede67501b7",
|
| 3 |
+
"task_name": "HUMEToxicConversationsClassification",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 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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| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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{
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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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"accuracy": 0.777778,
|
| 23 |
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|
| 24 |
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|
| 25 |
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"ap": 0.670707,
|
| 26 |
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|
| 27 |
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},
|
| 28 |
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{
|
| 29 |
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"accuracy": 0.8,
|
| 30 |
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"f1": 0.8,
|
| 31 |
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"f1_weighted": 0.8,
|
| 32 |
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"ap": 0.692444,
|
| 33 |
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|
| 34 |
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},
|
| 35 |
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{
|
| 36 |
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"accuracy": 0.8,
|
| 37 |
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"f1": 0.8,
|
| 38 |
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"f1_weighted": 0.8,
|
| 39 |
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"ap": 0.692444,
|
| 40 |
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"ap_weighted": 0.692444
|
| 41 |
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},
|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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},
|
| 49 |
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{
|
| 50 |
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"accuracy": 0.755556,
|
| 51 |
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"f1": 0.755072,
|
| 52 |
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|
| 53 |
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"ap": 0.645411,
|
| 54 |
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"ap_weighted": 0.645411
|
| 55 |
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|
| 56 |
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{
|
| 57 |
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"accuracy": 0.8,
|
| 58 |
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"f1": 0.8,
|
| 59 |
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"f1_weighted": 0.8,
|
| 60 |
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|
| 61 |
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"ap_weighted": 0.692444
|
| 62 |
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|
| 63 |
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{
|
| 64 |
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"accuracy": 0.8,
|
| 65 |
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"f1": 0.798407,
|
| 66 |
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"f1_weighted": 0.800398,
|
| 67 |
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"ap": 0.698413,
|
| 68 |
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"ap_weighted": 0.698413
|
| 69 |
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},
|
| 70 |
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{
|
| 71 |
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"accuracy": 0.8,
|
| 72 |
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"f1": 0.8,
|
| 73 |
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"f1_weighted": 0.8,
|
| 74 |
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"ap": 0.692444,
|
| 75 |
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"ap_weighted": 0.692444
|
| 76 |
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},
|
| 77 |
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{
|
| 78 |
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"accuracy": 0.777778,
|
| 79 |
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"f1": 0.776786,
|
| 80 |
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|
| 81 |
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"ap": 0.670707,
|
| 82 |
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"ap_weighted": 0.670707
|
| 83 |
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}
|
| 84 |
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],
|
| 85 |
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"main_score": 0.786667,
|
| 86 |
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"hf_subset": "default",
|
| 87 |
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"languages": [
|
| 88 |
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"eng-Latn"
|
| 89 |
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]
|
| 90 |
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}
|
| 91 |
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]
|
| 92 |
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},
|
| 93 |
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"evaluation_time": 17.916704416275024,
|
| 94 |
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"kg_co2_emissions": null
|
| 95 |
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}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMETweetSentimentExtractionClassification.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
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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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"dataset_revision": "9e8b4c52157ee3d3e78ab802ea441abd819e0569",
|
| 3 |
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"task_name": "HUMETweetSentimentExtractionClassification",
|
| 4 |
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"mteb_version": "1.34.7",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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{
|
| 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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"accuracy": 0.777778,
|
| 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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"accuracy": 0.8,
|
| 24 |
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|
| 25 |
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"f1_weighted": 0.798344
|
| 26 |
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},
|
| 27 |
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{
|
| 28 |
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"accuracy": 0.755556,
|
| 29 |
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"f1": 0.753133,
|
| 30 |
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|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"accuracy": 0.822222,
|
| 34 |
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"f1": 0.822222,
|
| 35 |
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"f1_weighted": 0.822222
|
| 36 |
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|
| 37 |
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{
|
| 38 |
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"accuracy": 0.777778,
|
| 39 |
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"f1": 0.773425,
|
| 40 |
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|
| 41 |
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|
| 42 |
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{
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| 43 |
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"accuracy": 0.8,
|
| 44 |
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"f1": 0.797414,
|
| 45 |
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"f1_weighted": 0.797414
|
| 46 |
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|
| 47 |
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{
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| 48 |
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"accuracy": 0.8,
|
| 49 |
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"f1": 0.793459,
|
| 50 |
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"f1_weighted": 0.793459
|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"accuracy": 0.822222,
|
| 54 |
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"f1": 0.822222,
|
| 55 |
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"f1_weighted": 0.822222
|
| 56 |
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},
|
| 57 |
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{
|
| 58 |
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"accuracy": 0.8,
|
| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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],
|
| 63 |
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"main_score": 0.793333,
|
| 64 |
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|
| 65 |
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"languages": [
|
| 66 |
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"eng-Latn"
|
| 67 |
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]
|
| 68 |
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}
|
| 69 |
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]
|
| 70 |
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},
|
| 71 |
+
"evaluation_time": 54.16237926483154,
|
| 72 |
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|
| 73 |
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}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEWikiCitiesClustering.json
ADDED
|
@@ -0,0 +1,23 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "5c46af681d2dfa6d3ee373b7ccb4f153e1b72792",
|
| 3 |
+
"task_name": "HUMEWikiCitiesClustering",
|
| 4 |
+
"mteb_version": "1.34.7",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
+
"v_measure": 0.736308,
|
| 9 |
+
"v_measure_std": 0.0,
|
| 10 |
+
"v_measures": [
|
| 11 |
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0.736308
|
| 12 |
+
],
|
| 13 |
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"main_score": 0.736308,
|
| 14 |
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"hf_subset": "default",
|
| 15 |
+
"languages": [
|
| 16 |
+
"eng-Latn"
|
| 17 |
+
]
|
| 18 |
+
}
|
| 19 |
+
]
|
| 20 |
+
},
|
| 21 |
+
"evaluation_time": 2.363245725631714,
|
| 22 |
+
"kg_co2_emissions": null
|
| 23 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HUMEWikipediaRerankingMultilingual.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "bdbce1ba2d0e58e88d1d13c54a555154adc5c165",
|
| 3 |
+
"task_name": "HUMEWikipediaRerankingMultilingual",
|
| 4 |
+
"mteb_version": "1.34.7",
|
| 5 |
+
"scores": {
|
| 6 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 48 |
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| 49 |
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results/Human/2025_09_25/HUMEArxivClusteringP2P.json
ADDED
|
@@ -0,0 +1,40 @@
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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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| 6 |
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| 13 |
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| 14 |
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| 25 |
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| 26 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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results/Human/2025_09_25/HUMECore17InstructionReranking.json
ADDED
|
@@ -0,0 +1,43 @@
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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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| 6 |
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| 13 |
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| 21 |
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| 25 |
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| 26 |
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| 27 |
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| 35 |
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| 37 |
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| 42 |
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| 43 |
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|
results/Human/2025_09_25/HUMEEmotionClassification.json
ADDED
|
@@ -0,0 +1,45 @@
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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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| 6 |
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| 15 |
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| 27 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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|
results/Human/2025_09_25/HUMEMultilingualSentimentClassification.json
ADDED
|
@@ -0,0 +1,81 @@
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| 1 |
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| 4 |
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| 5 |
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results/Human/2025_09_25/HUMENews21InstructionReranking.json
ADDED
|
@@ -0,0 +1,43 @@
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| 1 |
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{
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"dataset_revision": "human_evaluation",
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| 3 |
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| 4 |
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| 5 |
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| 13 |
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| 27 |
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| 35 |
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| 36 |
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| 43 |
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results/Human/2025_09_25/HUMERedditClusteringP2P.json
ADDED
|
@@ -0,0 +1,40 @@
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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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| 34 |
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| 40 |
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results/Human/2025_09_25/HUMERobust04InstructionReranking.json
ADDED
|
@@ -0,0 +1,43 @@
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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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| 6 |
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| 7 |
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| 26 |
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| 27 |
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| 34 |
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| 35 |
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| 37 |
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| 42 |
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| 43 |
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results/Human/2025_09_25/HUMESIB200ClusteringS2S.json
ADDED
|
@@ -0,0 +1,70 @@
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| 3 |
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| 4 |
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| 5 |
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| 32 |
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results/Human/2025_09_25/HUMESICK-R.json
ADDED
|
@@ -0,0 +1,40 @@
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{
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| 3 |
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| 4 |
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| 5 |
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| 40 |
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results/Human/2025_09_25/HUMESTS12.json
ADDED
|
@@ -0,0 +1,40 @@
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| 32 |
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| 40 |
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results/Human/2025_09_25/HUMESTS22.json
ADDED
|
@@ -0,0 +1,60 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"dataset_revision": "human_evaluation",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"test": [
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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"ara-Arab"
|
| 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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| 25 |
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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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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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|
| 42 |
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|
| 43 |
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"eng-Latn"
|
| 44 |
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]
|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 51 |
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|
| 52 |
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"languages": [
|
| 53 |
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|
| 54 |
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|
| 55 |
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}
|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
results/Human/2025_09_25/HUMESTSBenchmark.json
ADDED
|
@@ -0,0 +1,40 @@
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
+
"task_name": "HUMESTSBenchmark",
|
| 4 |
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"mteb_version": "1.18.0",
|
| 5 |
+
"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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| 9 |
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"pearson": 0.8211643019994898,
|
| 10 |
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"mse": 1.10678222,
|
| 11 |
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|
| 12 |
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|
| 13 |
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{
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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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"agreement": {
|
| 25 |
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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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"hf_subset": "default",
|
| 32 |
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"languages": [
|
| 33 |
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"eng-Latn"
|
| 34 |
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]
|
| 35 |
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}
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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}
|
results/Human/2025_09_25/HUMEToxicConversationsClassification.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
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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 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
+
"task_name": "HUMEToxicConversationsClassification",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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"f1": 0.73,
|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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{
|
| 16 |
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"accuracy": 0.7333333333333333,
|
| 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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"agreement": {
|
| 27 |
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"metric": "fleiss_kappa",
|
| 28 |
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"value": 0.55,
|
| 29 |
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"interpretation": "Moderate",
|
| 30 |
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|
| 31 |
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|
| 32 |
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"total_annotations": 90,
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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"eng-Latn"
|
| 39 |
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]
|
| 40 |
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}
|
| 41 |
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|
| 42 |
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},
|
| 43 |
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|
| 44 |
+
"kg_co2_emissions": null
|
| 45 |
+
}
|
results/Human/2025_09_25/HUMETweetSentimentExtractionClassification.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
+
"task_name": "HUMETweetSentimentExtractionClassification",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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|
| 8 |
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|
| 9 |
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"f1": 0.84,
|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 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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|
| 25 |
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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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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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"hf_subset": "default",
|
| 37 |
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"languages": [
|
| 38 |
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"eng-Latn"
|
| 39 |
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]
|
| 40 |
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}
|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
results/Human/2025_09_25/HUMEWikiCitiesClustering.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
+
"task_name": "HUMEWikiCitiesClustering",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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"scores_per_experiment": [
|
| 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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"agreement": {
|
| 25 |
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"metric": "mean_pairwise_ari",
|
| 26 |
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"value": 0.913604766633565,
|
| 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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"hf_subset": "default",
|
| 32 |
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|
| 33 |
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"eng-Latn"
|
| 34 |
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]
|
| 35 |
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}
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"kg_co2_emissions": null
|
| 40 |
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}
|
results/Human/2025_09_25/HUMEWikipediaRerankingMultilingual.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
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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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"dataset_revision": "human_evaluation",
|
| 3 |
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"task_name": "HUMEWikipediaRerankingMultilingual",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
+
"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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"mrr@10": 0.8623809523809524,
|
| 10 |
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|
| 11 |
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|
| 12 |
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"scores_per_experiment": [
|
| 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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|
| 25 |
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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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|
| 32 |
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|
| 33 |
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},
|
| 34 |
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"hf_subset": "en",
|
| 35 |
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|
| 36 |
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"eng-Latn"
|
| 37 |
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]
|
| 38 |
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},
|
| 39 |
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{
|
| 40 |
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|
| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 63 |
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results/Human/2025_09_25/model_meta.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEArxivClusteringP2P.json
ADDED
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@@ -0,0 +1,21 @@
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| 1 |
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{
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMECore17InstructionReranking.json
ADDED
|
@@ -0,0 +1,21 @@
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{
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| 4 |
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| 5 |
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| 15 |
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| 16 |
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| 18 |
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| 19 |
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEEmotionClassification.json
ADDED
|
@@ -0,0 +1,23 @@
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEMultilingualSentimentClassification.json
ADDED
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@@ -0,0 +1,35 @@
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{
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMENews21InstructionReranking.json
ADDED
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@@ -0,0 +1,21 @@
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMERedditClusteringP2P.json
ADDED
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@@ -0,0 +1,21 @@
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMERobust04InstructionReranking.json
ADDED
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@@ -0,0 +1,21 @@
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{
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESIB200ClusteringS2S.json
ADDED
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@@ -0,0 +1,31 @@
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{
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| 31 |
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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESICK-R.json
ADDED
|
@@ -0,0 +1,21 @@
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{
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| 10 |
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"mse": 1.0482862499999999,
|
| 11 |
+
"main_score": 0.684358803355082,
|
| 12 |
+
"hf_subset": "default",
|
| 13 |
+
"languages": [
|
| 14 |
+
"eng-Latn"
|
| 15 |
+
]
|
| 16 |
+
}
|
| 17 |
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]
|
| 18 |
+
},
|
| 19 |
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"evaluation_time": 0,
|
| 20 |
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|
| 21 |
+
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|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESTS12.json
ADDED
|
@@ -0,0 +1,21 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
+
"task_name": "HUMESTS12",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
+
{
|
| 8 |
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"spearman": 0.806302690936143,
|
| 9 |
+
"pearson": 0.7590093665896518,
|
| 10 |
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"mse": 1.8254499999999998,
|
| 11 |
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"main_score": 0.806302690936143,
|
| 12 |
+
"hf_subset": "default",
|
| 13 |
+
"languages": [
|
| 14 |
+
"eng-Latn"
|
| 15 |
+
]
|
| 16 |
+
}
|
| 17 |
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]
|
| 18 |
+
},
|
| 19 |
+
"evaluation_time": 0,
|
| 20 |
+
"kg_co2_emissions": null
|
| 21 |
+
}
|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESTS22.json
ADDED
|
@@ -0,0 +1,31 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
+
"task_name": "HUMESTS22",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
+
{
|
| 8 |
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"spearman": 0.6702984338898792,
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| 9 |
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"pearson": 0.7195690281416948,
|
| 10 |
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"mse": 0.8583333333333333,
|
| 11 |
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"main_score": 0.6702984338898792,
|
| 12 |
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"hf_subset": "en",
|
| 13 |
+
"languages": [
|
| 14 |
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"eng-Latn"
|
| 15 |
+
]
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"spearman": 0.5872679045801736,
|
| 19 |
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"pearson": 0.534379114864883,
|
| 20 |
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"mse": 0.9666666666666667,
|
| 21 |
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"main_score": 0.5872679045801736,
|
| 22 |
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"hf_subset": "ru",
|
| 23 |
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"languages": [
|
| 24 |
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"rus-Cyrl"
|
| 25 |
+
]
|
| 26 |
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}
|
| 27 |
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]
|
| 28 |
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},
|
| 29 |
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"evaluation_time": 0,
|
| 30 |
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"kg_co2_emissions": null
|
| 31 |
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}
|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMESTSBenchmark.json
ADDED
|
@@ -0,0 +1,21 @@
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
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"task_name": "HUMESTSBenchmark",
|
| 4 |
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"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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| 9 |
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| 10 |
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"mse": 1.81182222,
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| 11 |
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|
| 12 |
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"hf_subset": "default",
|
| 13 |
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"languages": [
|
| 14 |
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"eng-Latn"
|
| 15 |
+
]
|
| 16 |
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}
|
| 17 |
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]
|
| 18 |
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},
|
| 19 |
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"evaluation_time": 0,
|
| 20 |
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|
| 21 |
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|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEToxicConversationsClassification.json
ADDED
|
@@ -0,0 +1,23 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "human_evaluation",
|
| 3 |
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"task_name": "HUMEToxicConversationsClassification",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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"main_score": 0.7333333333333333,
|
| 14 |
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"hf_subset": "default",
|
| 15 |
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"languages": [
|
| 16 |
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"eng-Latn"
|
| 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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"evaluation_time": 0,
|
| 22 |
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|
| 23 |
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|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMETweetSentimentExtractionClassification.json
ADDED
|
@@ -0,0 +1,23 @@
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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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"dataset_revision": "human_evaluation",
|
| 3 |
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"task_name": "HUMETweetSentimentExtractionClassification",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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"hf_subset": "default",
|
| 15 |
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"languages": [
|
| 16 |
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"eng-Latn"
|
| 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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"evaluation_time": 0,
|
| 22 |
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|
| 23 |
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|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEWikiCitiesClustering.json
ADDED
|
@@ -0,0 +1,21 @@
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "human_evaluation",
|
| 3 |
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"task_name": "HUMEWikiCitiesClustering",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
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|
| 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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|
results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/HUMEWikipediaRerankingMultilingual.json
ADDED
|
@@ -0,0 +1,21 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "human_evaluation",
|
| 3 |
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"task_name": "HUMEWikipediaRerankingMultilingual",
|
| 4 |
+
"mteb_version": "1.18.0",
|
| 5 |
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"scores": {
|
| 6 |
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"test": [
|
| 7 |
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| 8 |
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| 9 |
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| 12 |
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|
| 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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results/Human/annotator_a7e82e0b-ad1c-450d-b9ff-7502e96815d6/model_meta.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
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{
|
| 2 |
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"name": "Human",
|
| 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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|
| 11 |
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| 12 |
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|
| 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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| 23 |
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|
| 24 |
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| 25 |
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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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|
| 32 |
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