Error running sample code: OSError: [Errno 36] File name too long

Running this EntityLinker example code from the github repo throws the following error

`OSError: [Errno 36] File name too long: '/home/username/.scispacy/datasets/e9f7327283e43f0482f7c0c71b71dec278a58ccb3ffdd03c2c2350159e7ef146.f2a350ad19015b2591545f7feeed6a6d6d2fffcd635d868a5d7fc0dfc3cadfd8.tfidf_vectors_sparse.npz'`

```
#!/usr/bin/env python3

import spacy
import scispacy

from scispacy.linking import EntityLinker

nlp = spacy.load("en_core_sci_sm")

# This line takes a while, because we have to download ~1GB of data
# and load a large JSON file (the knowledge base). Be patient!
# Thankfully it should be faster after the first time you use it, because
# the downloads are cached.
# NOTE: The resolve_abbreviations parameter is optional, and requires that
# the AbbreviationDetector pipe has already been added to the pipeline. Adding
# the AbbreviationDetector pipe and setting resolve_abbreviations to True means
# that linking will only be performed on the long form of abbreviations.

nlp.add_pipe(
"scispacy_linker",
config={"resolve_abbreviations": False, "linker_name": "umls"},
)
```
This is on linux mint 20.3, python 3.7.13