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Max samples param for mteb test #3966

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dkalinowski Feb 10, 2026
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4 changes: 3 additions & 1 deletion demos/embeddings/README.md
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Expand Up @@ -572,7 +572,9 @@ Results will be stored in `results` folder:
Compare against local HuggingFace execution for reference:
```console
mteb run -m thenlper/gte-small -t Banking77Classification --output_folder results
```
```

> **Note**: To run limited number of samples, add `--eval_splits test` to the command.

# Usage of tokenize endpoint

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6 changes: 5 additions & 1 deletion demos/embeddings/ovms_mteb.py
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Expand Up @@ -32,6 +32,9 @@
dest='model_name')
parser.add_argument('--dataset', default='Banking77Classification', help='Dataset to benchmark. default: Banking77Classification',
dest='dataset')
parser.add_argument('--eval_splits', nargs='*', default=None,
help='Evaluation splits to use, e.g. --eval_splits test dev. If not set, all splits defined in the task are used.',
dest='eval_splits')
args = vars(parser.parse_args())


Expand Down Expand Up @@ -70,7 +73,8 @@ def _to_numpy(self, embedding_response) -> np.ndarray:
return np.array([e.embedding for e in embedding_response.data])

model = OVMSModel(args['model_name'], args['service_url'] ,1)
tasks = mteb.get_task(args['dataset'])
tasks = mteb.get_task(args['dataset'],
eval_splits=args['eval_splits'])
evaluation = mteb.MTEB(tasks=[tasks])
evaluation.run(model,verbosity=3,overwrite_results=True,output_folder='results')
# For full leaderboard tests set run:
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