Evaluating task CIRRIT2IRetrieval:   0%|          | 0/1 [02:27<?, ?it/s]
Traceback (most recent call last):
  File "/data/home/niklas/isaac/mteb/.venv/bin/mteb", line 10, in <module>
    sys.exit(main())
  File "/data/home/niklas/isaac/mteb/mteb/cli/build_cli.py", line 497, in main
    args.func(args)
  File "/data/home/niklas/isaac/mteb/mteb/cli/build_cli.py", line 91, in run
    mteb.evaluate(
  File "/data/home/niklas/isaac/mteb/mteb/evaluate.py", line 390, in evaluate
    _res = evaluate(
  File "/data/home/niklas/isaac/mteb/mteb/evaluate.py", line 489, in evaluate
    result = _evaluate_task(
  File "/data/home/niklas/isaac/mteb/mteb/evaluate.py", line 162, in _evaluate_task
    task_results[split] = task.evaluate(
  File "/data/home/niklas/isaac/mteb/mteb/abstasks/retrieval.py", line 335, in evaluate
    return super().evaluate(
  File "/data/home/niklas/isaac/mteb/mteb/abstasks/abstask.py", line 209, in evaluate
    scores[hf_subset] = self._evaluate_subset(
  File "/data/home/niklas/isaac/mteb/mteb/abstasks/retrieval.py", line 403, in _evaluate_subset
    results = retriever(
  File "/data/home/niklas/isaac/mteb/mteb/_evaluators/retrieval_evaluator.py", line 71, in __call__
    return search_model.search(
  File "/data/home/niklas/isaac/mteb/mteb/models/search_wrappers.py", line 183, in search
    result_heaps = self._full_corpus_search(
  File "/data/home/niklas/isaac/mteb/mteb/models/search_wrappers.py", line 254, in _full_corpus_search
    sub_corpus_embeddings = self.model.encode(
  File "/data/home/niklas/isaac/mteb/mteb/models/model_implementations/lco_embedding_models.py", line 125, in encode
    for batch in tqdm(inputs, disable=not show_progress_bar):
  File "/data/home/niklas/isaac/mteb/.venv/lib/python3.10/site-packages/tqdm/std.py", line 1181, in __iter__
    for obj in iterable:
  File "/data/home/niklas/isaac/mteb/.venv/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 741, in __next__
    data = self._next_data()
  File "/data/home/niklas/isaac/mteb/.venv/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 801, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
  File "/data/home/niklas/isaac/mteb/.venv/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 57, in fetch
    return self.collate_fn(data)
  File "/data/home/niklas/isaac/mteb/mteb/_create_dataloaders.py", line 235, in _custom_collate_fn
    raise ValueError(f"Found None in batch for key '{key}'")
ValueError: Found None in batch for key 'text'