That's a different test than needle-in-a needlestack, although telling in how brittle these models are - competent in one area, and crushingly bad in others.
Needle-in-a-needlestack contrasts with needle-in-a-haystack by being about finding a piece of data among similar ones (e.g. one specific limeric among thousands of others), rather than among disimilar ones.
Needle-in-a-needlestack contrasts with needle-in-a-haystack by being about finding a piece of data among similar ones (e.g. one specific limeric among thousands of others), rather than among disimilar ones.