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Merged
Samoed merged 5 commits into from
Jul 21, 2025
Merged

Results for BarExamQA PR #240

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be6e8e6
Added results for BarExamQA PR
abdurrahmanbutler Jul 21, 2025
e32652d
Added results for BarExamQA PR
abdurrahmanbutler Jul 21, 2025
9c8b7c8
Merge branch 'embeddings-benchmark:main' into results-for-BarExamQA
abdurrahmanbutler Jul 21, 2025
eb5c2bd
deleting dir from using sentence transformers model
abdurrahmanbutler Jul 21, 2025
341bfbd
New results generated using mteb.get_model()
abdurrahmanbutler Jul 21, 2025
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158 changes: 158 additions & 0 deletions ...s/intfloat__multilingual-e5-small/c007d7ef6fd86656326059b28395a7a03a7c5846/BarExamQA.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,158 @@
{
"dataset_revision": "49c07b6",
"task_name": "BarExamQA",
"mteb_version": "1.38.36",
"scores": {
"test": [
{
"ndcg_at_1": 0.18803,
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"recall_at_1": 0.18803,
Comment thread
Samoed marked this conversation as resolved.
Outdated
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]
}
]
},
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}
1 change: 1 addition & 0 deletions .../intfloat__multilingual-e5-small/c007d7ef6fd86656326059b28395a7a03a7c5846/model_meta.json
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@Samoed Samoed Jul 21, 2025

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I think you've run model incorrectly. You should use model from mteb.get_model

@umarbutler umarbutler Jul 21, 2025

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Hey @Samoed,
These results were generated by following the instructions for adding a dataset to MTEB: https://github.com/embeddings-benchmark/mteb/blob/main/docs/adding_a_dataset.md#submit-a-pr

The exact same code was used:

from mteb import MTEB
from sentence_transformers import SentenceTransformer

# Define the sentence-transformers model name
model_name = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"

model = SentenceTransformer(model_name)
evaluation = MTEB(tasks=[YourNewTask()])

@Samoed Samoed Jul 21, 2025

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I see. I think it's a bit outdated. Thanks for pointing!

@Samoed Samoed Jul 21, 2025

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Can you rerun this model using updated instruction embeddings-benchmark/mteb#2922?

@abdurrahmanbutler abdurrahmanbutler Jul 21, 2025

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Yep so I reran the model using mteb.get_model and it seems to produce the right model meta data. I believe the sentence transformers version of the model is newer, leading to different meta data.

Original file line number Diff line number Diff line change
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{"name": "intfloat/multilingual-e5-small", "revision": "c007d7ef6fd86656326059b28395a7a03a7c5846", "release_date": null, "languages": [], "n_parameters": null, "memory_usage_mb": null, "max_tokens": null, "embed_dim": null, "license": null, "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["Sentence Transformers"], "reference": null, "similarity_fn_name": "cosine", "use_instructions": null, "training_datasets": null, "adapted_from": null, "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": null}
158 changes: 158 additions & 0 deletions ...phrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/BarExamQA.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,158 @@
{
"dataset_revision": "49c07b6",
"task_name": "BarExamQA",
"mteb_version": "1.38.36",
"scores": {
"test": [
{
"ndcg_at_1": 0.06838,
"ndcg_at_3": 0.14794,
"ndcg_at_5": 0.16597,
"ndcg_at_10": 0.21254,
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"ndcg_at_100": 0.32034,
"ndcg_at_1000": 0.32665,
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"map_at_10": 0.15745,
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"recall_at_1": 0.06838,
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"nauc_ndcg_at_1_max": -0.056686,
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"languages": [
"eng-Latn"
]
}
]
},
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"kg_co2_emissions": null
}
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